{"id":479,"date":"2019-06-04T05:01:26","date_gmt":"2019-06-04T05:01:26","guid":{"rendered":"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/?post_type=chapter&#038;p=479"},"modified":"2019-06-04T05:10:13","modified_gmt":"2019-06-04T05:10:13","slug":"thornthwaites-climatic-classification","status":"publish","type":"chapter","link":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/chapter\/thornthwaites-climatic-classification\/","title":{"rendered":"THORNTHWAITE\u2019S CLIMATIC CLASSIFICATION"},"content":{"raw":"<div><span style=\"float: right\"><a href=\"https:\/\/youtu.be\/9yl0sXAWZ00\" target=\"_blank\" rel=\"noopener\"><img src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"epgp books\" width=\"75px\" height=\"75px;\" \/><\/a>\r\n<\/span><\/div>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Objectives<\/strong>\r\n<ul>\r\n \t<li style=\"text-align: justify\">explain the design of climatic classification, name various measurements that characterize a climate group,<\/li>\r\n \t<li style=\"text-align: justify\">explain combination of letters,<\/li>\r\n \t<li style=\"text-align: justify\">discuss the utility of water balance, state the climatic conditions during different seasons.<\/li>\r\n<\/ul>\r\n<div>\r\n\r\n\u00a0 \u00a0 Introduction\r\n\r\n&nbsp;\r\n\r\nLearning Objectives\r\n\r\n&nbsp;\r\n\r\nHistorical Development in Thornthwaite\u2019s Climate Classification Method of Calculation\r\n\r\n&nbsp;\r\n\r\nPET Index:\r\n\r\n&nbsp;\r\n\r\nHeat Index:\r\n\r\n&nbsp;\r\n\r\nMoisture Index:\r\n\r\n&nbsp;\r\n\r\nThermal Index:\r\n\r\n&nbsp;\r\n\r\nDesign of Classification\r\n\r\n&nbsp;\r\n\r\nFirst capital alphabet for moisture regimes\r\n\r\n&nbsp;\r\n\r\nSecond capital alphabet with dash for thermal provinces\r\n\r\n&nbsp;\r\n\r\nThird small alphabet for seasonal surplus or deficit of moisture\r\n\r\n&nbsp;\r\n\r\nAridity index for humid climates\r\n\r\n&nbsp;\r\n\r\nHumidity index for arid climates\r\n\r\n&nbsp;\r\n\r\nWater Balance and its Explanation\r\n\r\n&nbsp;\r\n\r\nSoil-Water- Balance (SWB)\r\n\r\n&nbsp;\r\n\r\nSpatial Distribution of World Climates\r\n\r\n&nbsp;\r\n\r\nCriticism of the Classification:\r\n\r\n&nbsp;\r\n\r\nClimates of India by Thornthwaite\r\n\r\n&nbsp;\r\n\r\nDifference between Koppen and Thornthwaite\u2019s Classification of Climates\r\n\r\n&nbsp;\r\n\r\nSummary and Conclusions\r\n\r\n&nbsp;\r\n\r\nReferences\r\n\r\n&nbsp;\r\n\r\nWeb Links\r\n\r\n&nbsp;\r\n\r\nMultiple Choice Questions\r\n\r\n&nbsp;\r\n\r\nAnswer Key\r\n\r\n<\/div>\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<strong>Introduction<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Charles Warren Thornthwaite, an American climatologist attempted classification of world climates in 1931. The climatic classification was revised and improved further in 1948. The classification incorporates evapotranspiration, temperature and precipitation information and is widely used in studying the animal species diversity and potential impacts of climate change. Thornthwaite\u2019s classification is an improved and modified form of Koeppen\u2019s classification of climates. It is assumed that precipitation, temperature and plant association are strongly correlated. Natural vegetation is the true representation or the product of the climate. It is an outcome of precipitation and thermal conditions prevailing at a specific place over a long period of time. Growth and development of natural vegetation not only depended upon precipitation alone but also on the rate of evaporation. The classification of climates is based on the concept of potential evapotranspiration (PET). By potential evapotranspiration we mean the total amount of water vaporized and transpired over a certain area if sufficient amount of water is available.<\/p>\r\n&nbsp;\r\n\r\n<strong>Learning Objectives<\/strong>\r\n\r\n&nbsp;\r\n\r\nAfter studying this module, you will be able to:\r\n\r\n&nbsp;\r\n\r\n<strong>Historical Developments in Thornthwaite\u2019s Climatic Classification<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Being a Professor of Climatology, Thornthwaitewrote a research paper entitled \u201cThe Climates of North America according to a new classification\u201d. It was publishedin 1931 in <em>Geographical<\/em> <em>Review <\/em>Vol. 21. Later, in 1946, Thornthwaite attempted a study on the \u201cMoisture factor in Climate\u201d. The article was published in 1948 in<em>Transactions of American Geophysics Union,<\/em> Vol. 27. Themodified\u00a0 version\u00a0 of\u00a0 Thornthwaite\u2019s\u00a0 climate\u00a0 classification\u00a0 was\u00a0 published\u00a0 in\u00a0 1948 entitled\u201cAn Approach towards a Rational Classification of Climates\u201d in <em>Geographical Review,<\/em> in Vol. 38.Further elaborated work of Thornthwaite in association with Mather was published in 1955 ina seminal researcharticle on \u201cWater Balance\u201d in <em>Climatology,<\/em> Vol. 8. Both the scholars have written \u201cInstructional Manuals and Tables for computing evapotranspiration and water balance\u201d in 1957 which was published in <em>Climatology,<\/em> Vol.10. Thornthwaite is credited to have established a Laboratory of Climatology at Drextel Institute of Technology, Centerton, New\u00a0<span style=\"text-align: initial;font-size: 1em\">Jersey, USA. These tables and manuals are even now being used across the world for studies related to the classification of climates and climate change assessments.<\/span><\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n<p style=\"text-align: justify\">Studies on water balance are now widely used to assess the soil moisture and surplus and deficit situations of water at any place. Rebeiro and Recardo (20011) published an article on the \u201cThe Evapotranspiration in Climate Classification\u201d. Similarly, Das (2015) published an article on the \u201cWater Balance and Climatic Classification of a Tropical City Delhi- India\u201d. The applied aspect of the work relates to disciplines such as hydrology, agriculture, ecosystem situations, human health and medical sciences.<\/p>\r\n&nbsp;\r\n\r\n<strong>Method of Calculation<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thornthwaite used a set of indices to work out classification of climates. The indices used in the exercise are potential evapotranspiration (PET) index, heat index (I), moisture index (MI) and thermal index (TI).The potential evapotranspiration (PET) is calculated from mean monthly temperature (in 0C) in association with day length for a 30 day month (12- hour days). Heat index (I) is worked out by monthly mean heat index adjusted for the number of hours of day light and days in specific months. It is linked to mean monthly air temperature. Moisture index (MI) is worked out by subtracting PET values with precipitation (P) divided by PET and the coefficient multiplied by 100. Thermal index (TI) is worked out by adding minimum temperature values to maximum and the sum divided by two. Equation form of each Index is given below:<\/p>\r\n&nbsp;\r\n\r\n<strong>a) PET Index:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Potential\u00a0 evapotranspiration\u00a0 (PET)\u00a0 index\u00a0 is\u00a0 worked\u00a0 out\u00a0 using\u00a0 mean\u00a0 monthly\u00a0 air temperature in 0 C.<img class=\"aligncenter size-full wp-image-480\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205.png\" alt=\"\" width=\"555\" height=\"318\" \/><\/p>\r\n<p style=\"text-align: justify\">The above equation and values have been derived from Thornthwaite\u2019s article published in Geographical Review, Vol.38,1948.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>b) Heat Index: <\/strong>Heat index refers to the mean monthly air temperature (0 C) for each month from month 1stto month 12th in degree Celsius. It is further adjusted to number of hours of day light and days in a month. The total values of temperature were then divided by 5, a constant value of average. The coefficient so derived is raised by the power value of 1.514. Thus, heat index refers to sum total of monthly temperature values adjusted to hours of day light divided by a constant value. The final index is further raised to the power 1.514to ascertain the heat index.<\/p>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-481\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206.png\" alt=\"\" width=\"710\" height=\"402\" \/>\r\n<div>\r\n<p style=\"text-align: justify\">\u00a0<strong>\u00a0c)\u00a0Moisture Index:\u00a0<\/strong>The proportion of precipitation that ultimately remains available for practical purposes after evaporation is known as moisture index. It is being worked out bysubtracting the value of potential evapotranspiration (PET) from precipitation and the balance is divided by potential evapotranspiration (PET). The coefficient is then multiplied by 100 to get the moisture index.<\/p>\r\n&nbsp;\r\n\r\n(MI) = (P-PET\u00f7PET) x100\r\n\r\n&nbsp;\r\n\r\nWhere,\r\n\r\n&nbsp;\r\n\r\nP\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 = Precipitation\r\n\r\n&nbsp;\r\n\r\nPET =Potential evapotranspiration\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>d) Thermal Index<\/strong>: The index is being worked out by adding together the maximum temperature value of each day for the month and the sum divided by total number of days in the month. Similarly, average minimum temperature is also worked out by adding together diurnal minimum temperature values for a month and the sum divided by the total number of days in the month. Thermal index is calculated by the addition of average\u00a0<span style=\"text-align: initial;font-size: 1em\">maximum temperature and average minimum temperature and the sum divided by two. Thermal index is, thus, the middle most value lying between maximum and minimum values of temperature.<\/span><\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n(TI)= (Tmax + Tmin) \u00f72\r\n\r\n&nbsp;\r\n\r\nWhere,\r\n\r\n&nbsp;\r\n\r\nTmax = Maximum temperature\r\n\r\n&nbsp;\r\n\r\nTmin = Minimum temperature\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Monthly water surplus (S) or deficit (D) is calculated from a moisture budget assessment including stored soil moisture. A scheme of moisture index (MI), humidity province (expressed in capital alphabets), rainfall (in centimeters), precipitation effectiveness (PE) based on heat (I) and moisture indices (M) and thermal province (expressed in capital alphabets with superscript dash) is presented in Table-1. Heat and thermal indices are extremely useful in working out precipitation effectiveness, which in its turn, is an important indicator of plant growth. Heat index refers to hours of sun light and air temperature whereas thermal index relates to the average thermal condition, i.e. sum total of maximum and minimum temperature divided by two. The table below summarizes different indices and their limits.<\/p>\r\n&nbsp;\r\n\r\n<strong>Table -1: Major Parameters of Climatic Classification<\/strong>\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-482\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207.png\" alt=\"\" width=\"558\" height=\"238\" \/>\r\n<p style=\"text-align: center\"><strong>Source: <\/strong>Based on climatic type and moisture index on page 76, in C.W. Thornthwaite (1948), \u201cAn Approach toward a Rational Classification of Climates\u201d <strong>The Geographical<\/strong> <strong>Review, <\/strong>Vol. 38, No.1, pp. 55-94.<\/p>\r\n&nbsp;\r\n\r\nThornthwaite\u2019s classification is, thus, based on two important indices:\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Precipitation Effectiveness (PE). Effectiveness of precipitation depends on the distribution pattern of rainfall in a calendar year and evaporation of moisture back tothe atmosphere through different surfaces and means. Seasonal deficiency and surplus of rainfall affects plant growth significantly.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">2. Temperature Efficiency (TE). Temperature efficiency relates to variation in temperature and its role in the growth of plants. Equatorial areas where sunlight and temperatures are usually high with insignificant variation in a calendar year, growth of plants remains high. Contrary to it, arid areas reflect high variation in temperature and sun-light, hence plant growth is retarded significantly. Potential evaporation is, thus, an index of temperature efficiency.<\/p>\r\n&nbsp;\r\n\r\n<strong>Design of classification:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thornthwaite\u2019s design of climate classification is a combination of three letter alphabets.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>1) <\/strong>First alphabet used in the major climatic classification is any one of the English capital letter from A to E which denotes world\u2019s five moisture regimes. Further, sub division in a major climate is expressed by small numerical values such as 1, 2, 3 denoting variation within moisture regimes. These are:<\/p>\r\n&nbsp;\r\n\r\nA =Wet or Per humid (with moisture index as 100)\r\n\r\n&nbsp;\r\n\r\nP\/E index= 127 and type of vegetation <strong>\u2018rainforest\u2019<\/strong>.\r\n\r\n&nbsp;\r\n\r\nB = Humid (with moisture index 20 to 100) B1, B2, B3 and B4\r\n\r\n&nbsp;\r\n\r\nP\/E index= 64-127 and type of vegetation <strong>\u2018forest\u2019<\/strong>.\r\n\r\n&nbsp;\r\n\r\nC= Moist sub humid (with moisture index 0 to 20),\r\n\r\n&nbsp;\r\n\r\nP\/E index =32-63 and type of vegetation <strong>\u2018grasslands\u2019<\/strong>.\r\n\r\n&nbsp;\r\n\r\nD = Dry sub humid (with moisture index -30 to 0)\r\n\r\n&nbsp;\r\n\r\nP\/E index= 16-31 and type of vegetation \u2018<strong>steppe\u2019<\/strong>.\r\n\r\n&nbsp;\r\n\r\nE =Arid (E with moisture index -100 to -67)\r\n\r\n&nbsp;\r\n\r\nP\/E index= &lt;16 and\u00a0\u00a0\u00a0 type of vegetation <strong>\u2018desert\u2019<\/strong>\r\n<div>\r\n<p style=\"text-align: justify\"><strong>\u00a0<\/strong><\/p>\r\n<p style=\"text-align: justify\">2)\u00a0The second letter used in the climatic classification is also an English capital alphabet superscript with dash. It denotes thermal provinces. Thornthwaite has divided the world in to six thermal provinces. They are expressed as:<\/p>\r\n&nbsp;\r\n\r\nA\u2019= Mega thermal (Tropical), T\/E index= 127.\r\n\r\n&nbsp;\r\n\r\nB\u2019= Meso thermal expressed as B1, B2, B3 and B4 T\/E index= 64-127.\r\n\r\n&nbsp;\r\n\r\nC\u2019= Micro thermal, T\/E index = 32-63.\r\n\r\n&nbsp;\r\n\r\nD\u2019= Taiga T\/E index = 16-31.\r\n\r\n&nbsp;\r\n\r\nE\u2019= Tundra T\/E index = 1-15\r\n\r\n&nbsp;\r\n\r\nF\u2019= Frost T\/E index = 0.\r\n\r\n&nbsp;\r\n\r\nBased on the moisture and thermal indices, 9 major climates were identified.\u2019\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">3)\u00a0Third letter in combination of alphabets is denoted by a set of 8 small English alphabets. They are used to express the seasonal pattern of the availability of moisture from acute deficit to abundant surplus situations. The expression of small alphabets is explained below:<\/p>\r\n<strong>\u00a0<\/strong>\r\n\r\nRainfall adequate in all seasons = r Rainfall deficient in all the seasons = d\r\n\r\n<strong>\u00a0<\/strong>\r\n\r\nRainfall deficient (normal) during winter season = w Rainfall deficient (normal) during summer season = s\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Aridity index for humid climates<\/strong>\r\n\r\n&nbsp;\r\n\r\nMoisture deficit acute during winter = w2\r\n\r\n&nbsp;\r\n\r\nMoisture deficit acute during summer =s2\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Humidity index for arid climates<\/strong>\r\n\r\n&nbsp;\r\n\r\nMoisture surplus abundant during winter =s2\r\n\r\n&nbsp;\r\n\r\nMoisture surplus abundant during summer = w2\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thornthwaite has been concerned about working out seasonal deficiency of moisture in humid climates which appears to be the cause of dryness and apparently halting the growth of plants for specific period. Similarly, places in arid climates do represent moisture surplus seasonally which serves as storage of soil moisture and a basis for growth of plants as grasslands and xerophytes.<\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thus, precipitation effectiveness (PE) and temperature efficiency (TE) are closely related and are the expressions of vegetation type. Both the indices record high values where variations in the distribution of pattern of rainfall and temperature reflect little variation. Contrary to this, both the indices record low values if the distribution pattern of rainfall and temperature reflect high variation. However, both the indices are aimed at a common point of reference i. e. vegetation which is true representation of a climate type.<\/p>\r\n&nbsp;\r\n\r\nThe third alphabet classification is largely based on the seasonal characteristics of precipitation.\r\n\r\n&nbsp;\r\n\r\nThe following four small alphabets were used to denote the seasonal characteristics of rainfall.\r\n\r\n&nbsp;\r\n\r\nBased on four seasonal characteristics of rainfall, 20 climatic divisions have been recognized.\r\n\r\n&nbsp;\r\n\r\nThey are presented in Table-2.\r\n\r\n&nbsp;\r\n\r\n<strong>Table-2: Classification of Climates Based onMoisture Regimes and Seasonal Characteristics of Moisture.<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><img class=\"aligncenter size-full wp-image-483\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208.png\" alt=\"\" width=\"574\" height=\"250\" \/><span style=\"font-size: 1em;text-align: initial;text-indent: 1em\">\u00a0 \u00a0 <\/span><\/p>\r\n<p style=\"text-align: justify\"><span style=\"font-size: 1em;text-align: initial;text-indent: 1em\">\u00a0Besides surplus and deficient rainfall at seasonal level, Thornthwaite has also considered the level of seasonal moisture deficiency for humid climates and seasonal abundance of moisture for arid climates as crucial elements in plant growth and the characterization of climates. As such, an attempt was made to work out season specific moisture deficiency from normal to acute for humid climates and moisture surplus from normal to abundant for arid climates. To make it distinct from normal situation, seasonal characteristics were further assigned with numerical values.<\/span><\/p>\r\n\r\n<div>\r\n\r\n&nbsp;\r\n\r\nM=Ih - 0.6 Ia\r\n\r\nOr\r\n\r\n&nbsp;\r\n\r\nM=100 \u03b1 - 60 \u03b2\r\n\r\n&nbsp;\r\n\r\n\u03b3\r\n\r\nWhere,\r\n\r\n&nbsp;\r\n\r\nIh is the index of humidity,\r\n\r\n&nbsp;\r\n\r\nIa is the index of aridity,\r\n\r\n&nbsp;\r\n\r\n\u0391lpha (\u03b1) is the water surplus,\r\n\r\n&nbsp;\r\n\r\nBeta (\u03b2) is the water deficit,\r\n\r\n&nbsp;\r\n\r\nGamma (\u03b3) is the water need or potential evapotranspiration.\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">The above concept relates to the status of moisture at a specific place. If alpha (\u03b1) exceeds the potential evapotranspiration (PET) or water need (\u03b3), the situation is termed as humid. Similarly,<\/p>\r\n&nbsp;\r\n\r\nif beta exceeds the potential evapotranspiration (PET) or water need (\u03b3), the situation is termed\r\n\r\n&nbsp;\r\n\r\nas arid.\r\n\r\n&nbsp;\r\n\r\nThe seasonal characteristics are explained below:\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Aridity index for humid climates A, B, and C<\/strong><strong>2<\/strong>\r\n\r\n&nbsp;\r\n\r\nProportion of moisture deficit is denoted by:\r\n\r\n&nbsp;\r\n\r\nNo moisture deficit 0-10 = r\r\n\r\n&nbsp;\r\n\r\nMoisture deficit (normal) during summer season 10-20 = s\r\n\r\n&nbsp;\r\n\r\nMoisture deficit (normal) during winter season 10-20 = w\r\n\r\n&nbsp;\r\n\r\nMoisture deficit acute &gt;20% in winter = w2\r\n\r\n&nbsp;\r\n\r\nMoisture deficit acute &gt;20% in summer =s2\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Humidity index for arid climates C<\/strong><strong>1<\/strong><strong>, D and E<\/strong>\r\n\r\n&nbsp;\r\n\r\nProportion of moisture surplus is denoted by:\r\n\r\n&nbsp;\r\n\r\nWater surplus negligible 0-16.7 =d\r\n\r\n&nbsp;\r\n\r\nWinter moisture surplus (normal) 16.7-33.3=s\r\n\r\n&nbsp;\r\n\r\nSummer moisture surplus (normal) 16.7-33.3=w\r\n\r\n&nbsp;\r\n\r\nMoisture surplus abundant &gt;33.3% in summer =w2\r\n\r\n&nbsp;\r\n\r\nMoisture surplus abundant &gt;33.3% in winter =s2\r\n\r\n&nbsp;\r\n\r\nThe seasonal variation of effective moisture and summer concentration of temperature efficiency\r\n\r\n&nbsp;\r\n\r\nhas been further refined for the climatic classification. Details have been presented in the table-3.\r\n\r\n&nbsp;\r\n\r\n<strong>Table \u2013 3: Thermal Efficiency and its Summer Concentration<\/strong>\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-484\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209.png\" alt=\"\" width=\"528\" height=\"26\" \/>\r\n\r\n<img class=\"aligncenter size-full wp-image-485\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210.png\" alt=\"\" width=\"550\" height=\"209\" \/>\r\n<div>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>Water Balance and its Explanation: <\/strong>There is a close relationship between rainfall, temperature and potential evapo-transpiration, though they are not linked to a common cause and are evidently the result of different causes. The potential evapo- transpiration rates increase with an increase in temperature and decrease in relative humidity which varies with precipitation. In Indian situation, rates increase steadily from January to May, with increasing temperature and aridity, followed by a rapid decline from June onwards with the onset of summer monsoon. The minimum is ultimately reached in the month of August which also records the heaviest rainfall and resultant humidity. The effect of relative humidity on the rates may be seen from the examples of the months April and July which have mean maximum temperatures of 360 C and 340 C. respectively and the corresponding potential evapo-transpiration rates of 30 and 15 centimeters. A gradual rise in rates is noted from September with a slight increase in air temperature following a decline in rainfall and cloudiness. However, the rise in rates does not continue beyond October because of approaching cold season. The actual evapo- transpiration, as distinct from potential evapo- transpiration, depends upon the amount of water actually available for the growth of plants. As such, it is a function of precipitation provided there is no soil-moisture recharge by capillary action from the water table and that artificial irrigation is not prevalent. Further the actual evapo- transpiration in any month will be less than or equal to the corresponding potential evapo- transpiration according to an existence or otherwise of a water deficit in that month. As such, actual equals the potential only in July, August and September when water deficit is non- existent.<\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>Soil-Water-Balance (SWB):\u00a0<\/strong>Thornthwaite and Mather (1957) developed a method for estimating the recharge, storage and abstraction in the process of water percolation to subsoil layers. Thornthwaite as a climatologist, developed the concept of the soil-moisture balance, and he preferred to use it as the foundation of his climate system. He was convinced that soil-moisture balance represents availability of moisture for the plants and an assessment of the availability surplus moisture to supply stream flow and ground water. This concept implies that precipitation alone does not indicate the amount of water actually available to plants. The moisture requirement of plants become higher as temperature increases. A schematic illustration is presented below. It illustrates that rain and irrigation are the two sources of the soil moisture. Evaporation and transpiration are the two ways of moisture transfer to atmosphere. Runoff and percolation are the processes of water flow. Stored soil water has deep percolation and upward movement of soil moisture (Figure 1).<\/p>\r\n&nbsp;\r\n\r\n<strong>Figure 1: Soil-Water -Balance<\/strong>\r\n\r\n<img class=\"aligncenter size-full wp-image-486\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211.png\" alt=\"\" width=\"700\" height=\"450\" \/>\r\n\r\n&nbsp;\r\n<p style=\"text-align: center\">Source: <a href=\"http:\/\/passel.unl.edu\/Image\/NolanDiane1129928529\/ch4fig.JPG\">http:\/\/passel.unl.edu\/Image\/NolanDiane1129928529\/ch4fig.JPG<\/a><\/p>\r\n\r\n<div>\r\n\r\n\u00a0 \u00a0 \u00a0The method developed by Thornthwaite is given below:\r\n\r\n&nbsp;\r\n\r\nRecharge= (Precip+ snow melt +inflow) \u2013 sources\u00a0 (1)\u00a0<span style=\"text-align: initial;font-size: 1em\">(Interception+ Outflow +ET)-\u25b2 soil moisture sinks<\/span>\r\n\r\n<\/div>\r\n<\/div>\r\nR= (P-Ia )2 P&gt;Ia\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (2)\r\n\r\n&nbsp;\r\n\r\n( P+ ( Smax-Ia)\r\n\r\n&nbsp;\r\n\r\nWhere,\r\n\r\n&nbsp;\r\n\r\nR is run off,\r\n\r\n&nbsp;\r\n\r\nP is daily precipitation,\r\n\r\n&nbsp;\r\n\r\nSmax is maximum soil moisture holding capacity and\r\n\r\n&nbsp;\r\n\r\nIa is initial abstraction, the amount of precipitation that must fall before any runoff is generated.\r\n\r\n&nbsp;\r\n\r\nThe initial abstraction (Ia ) term is related to a maximum storage term (Smax) as follows:\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-487\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212.png\" alt=\"\" width=\"851\" height=\"205\" \/>\r\n<div>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thus, it has been established that availability of water is crucial to the survival and growth of plants and animals including humans. Currently, the world is faced with water crisis and declining bio diversity. Thornthwaite could percieve the prospective crisis of water nearly seventy years before and for that he developed the method and a diagram to represent the situation so that possible solutions could be searched out. Figure-2 represents a water balance diagram.<\/p>\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-488\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213.png\" alt=\"\" width=\"783\" height=\"415\" \/>\r\n<p style=\"text-align: center\"><strong>Source:<\/strong><a href=\"https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-budget-diagram-of-the-Canakkale-weather-station-for-the-period\">https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-<\/a><a href=\"https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-budget-diagram-of-the-Canakkale-weather-station-for-the-period\">budget-diagram-of-the-Canakkale-weather-station-for-the-period<\/a><\/p>\r\n&nbsp;\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Three parameters PE, TE and seasonal characteristics of surplus and deficit moisture conditions formed the basis for dividing world into 32 types of climates. Moisture provinces A and E have three subdivisions in each. Similarly, B and D moisture provinces have seven and six sub divisions each while C moisture province has a maximum of 10 sub divisions. Thermal provinces D\u2019, E\u2019, and F\u2019 have been represented by single climate type without having further subdivisions in them. Major climate types have been presented in following Table-4.<\/p>\r\n\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<strong>Table-4: Major climate types (based on moisture regime, thermal province and seasonal characteristics)<\/strong>\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-489\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214.png\" alt=\"\" width=\"497\" height=\"316\" \/>\r\n<div>\r\n<p style=\"text-align: justify\"><strong>Note: <\/strong>The first row of the table relates to titles: Moisture regimes (bold letters) and thermal provinces (italicized) for each column.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">A workable scheme for identifying the type of climate based on potential evapotranspiration, average annual thermal efficiency, seasonal variation of effective moisture, and summer concentration of thermal efficiency has been presented by Thornthwaite. A map accessed from internet is also presented below. It is easy to recognize polar climates at the top closely followed by tundra type climate towards south. Close to equator, one can notice A, B, and C type of climates given successively northward. Desert climates (D type) are recognizable along the margins of tropical and subtropical belts. The map showing climatic divisions of the world, as per Thornthwaite\u2019s classification, is presented in Figure-3.<\/p>\r\n&nbsp;\r\n\r\n<strong>Figure-3: Thornthwaite\u2019s Climatic Zones<\/strong>\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-490\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215.png\" alt=\"\" width=\"817\" height=\"445\" \/>\r\n<div>\r\n<p style=\"text-align: center\"><strong>Source:<\/strong><a href=\"https:\/\/www.researchgate.net\/publication\/250171991_A_Revised_Thornthwaite-Type_Global_Climate_Classification\">https:\/\/www.researchgate.net\/publication\/250171991_A_Revised_Thornthwaite-Type_Global_Climate_Classification<\/a><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>Spatial distribution of world climates: <\/strong>The pattern of spatial distribution of climates reveals a pattern of zonation from equator to poles. While equatorial areas with high P\/E and T\/E index values express luxuriant vegetation in the form of rain forests, Tundra and Polar areas with low P\/E and T\/E indices express scanty and limited vegetation. Similarly, eastern coasts in subtropical areas have high P\/E values and moderate T\/E values and thus have forests which are mostly deciduous in nature. While humid climates (A, B, and C) are characterized by normal seasonal deficiency of moisture, arid climates (D &amp; E) do have normal seasonal surplus of moisture in at least one season. Thus dry climates usually occupy a large place in interior parts of the continents, the western margins of the continents in tropics and eastern margins of the subtropics and temperate zones. London (U.K.) is an example of humid oceanic climate, while Athens (Greece) is an example of mild winters in Mediterranean climate. Lima (Peru) represent dry continental climate while Denver in (U.S.A.) humid continental climate. La Paz (Bolivia) at an altitude of 3664 meters above sea level has very low P\/E and very low T\/E index. It represents highland climate (refer to Figure-3).<\/p>\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n\r\n<strong>Criticism of the classification:<\/strong>\r\n\r\n<\/div>\r\n<div>\r\n\r\n\u00a0 \u00a0 \u00a01. Thornthwaite\u2019s classification of world climates is improved qualitatively.\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">However, classification seems to have ignored the role of prevailing winds, relative humidity, air pressure and air masses.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">2. The classification system has proved most satisfactory in case of North America where vegetation boundaries nearly coincide with particular P\/E values. But it is not satisfactory for tropical and semiarid areas.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">3. The calculation of soil moisture balance for different natural regions and vegetation zones poses basic problem. Several combinations at local and regional levels increase complexity obscuring clarity of classification.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">4. Availability of data for all the meteorological variables over time and space is a serious problem.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">5. Despite being an improved classification qualitatively, it is being less used and of limited application because of its complex nature.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">6.\u00a0 Thornthwaite\u2019s classification of\u00a0 world climates is improved\u00a0 qualitatively.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">However, classification of climate seems to have ignored the role of relief, position of sun with reference to incidence of solar radiation on the earth.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">7. Current issues of global warming, climate change and increasing incidence of extreme events does not find a place in Thornwaite\u2019s classification of world climates.<\/p>\r\n&nbsp;\r\n\r\n<strong>Climates of India<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Climates of India using Thornthwaite\u2019s modified scheme of classification (1948) have been explained with the help of a map accessed from internet location. Results reveal that per humid \u2018A\u2019 typeof climates have two distinct clusters in India. One in the North Eastern parts of India excluding some parts of plains of Assam and adjoining Nagaland. Second cluster is found along Malabar Coastal region. The \u2018B\u2019 type of climate (humid) is found in northern part of the state of West Bengal, Sikkim and parts of Assam valley. It is also found along Western Ghat Mountains in proximity to Malabar Coast. The \u2018C\u2019 type (moist sub - humid) of climate is experienced in large parts of Orissa, Jharkhand, eastern Bihar and Chhattisgarh regions. A small zone of moist sub humid climate is also experienced along Nilgiri hills, Western Ghat Mountains and along coastal Maharashtra. The \u2018C2\u2019(dry sub - humid) type of climate is found in large parts of pennisular India, in northern plains and along Tamil Nadu Coast. The semiarid \u2018D\u2019 type of\u00a0<span style=\"text-align: initial;font-size: 1em\">climate is experienced in southern parts of Punjab- Haryana plains, Mathura- Agra belt, eastern Rajasthan, Madhya Pradesh, Gujarat, Maharashtra, Andhra Pradesh and central Tamil Nadu. The arid \u2018E\u2019 type climates are found in three major pockets. The northern most pocket of \u2018E\u2019 type of climate is found in Himalayan states of Jammu &amp;Kashmir, Himachal Pradesh and Uttarakhand. The second major pocket of \u2018E\u2019 type of climate is found in western parts of Rajasthan state and large parts of Gujarat state including Kutchh and Kathiawad regions. Besides these arid regions, a relatively small pocket of \u2018E\u2019 type of climate is also found in parts of north eastern Maharashtra and adjoining Andhra Pradesh (Figure-4).<\/span><\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n\r\n<strong>Figure-4: Climates of India Based on Thornthwaite\u2019 Modified Classification 1948<\/strong>\r\n\r\n&nbsp;\r\n\r\n<img class=\"aligncenter size-full wp-image-491\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216.png\" alt=\"\" width=\"491\" height=\"445\" \/>\r\n<div>\r\n<p style=\"text-align: center\">Source: <a href=\"https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-Climate-classification.png\">https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-<\/a><a href=\"https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-Climate-classification.png\">Climate-classification.png<\/a><\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>Difference in the classification of climates by Koppen and Thornthwaite: <\/strong>The scheme of the classification of world climates presented by scholars Koppen and Thornthwaite present marked difference in arrangements of alphabets, their combinations and indices. For example arid and\u00a0<span style=\"font-size: 1em\">semiarid climates find second place in the arrangements in Koppen\u2019s scheme whereas these climates find fourth and fifth place in Thornthwaite\u2019s scheme. While Koppen seems to attach higher weightage to contrasting climatic characters, Thornthwaite seems to attach higher weightage to gradual succession of characters from humid to arid. Koppen\u2019s scheme is more popular as it involves simple calculations of broad parameters whereas Thornthwaite\u2019s scheme requires rigorous calculation of moisture conditions, soil moisture balance and acute shortage and abundant surplus conditions. Therefore, the two scholars have contributed significantly in advancing our understanding about climatic elements, climate change and its impact assessments on life forms on the earth.<\/span><\/p>\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div>\r\n\r\n&nbsp;\r\n\r\n<strong>Summary and Conclusions:<\/strong>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\">Thornthwaite\u2019s classification of world climates is based on the precipitation and temperature indices to explain the vegetation. The classification provides an efficient way to describe biotic life of plants and animals through precipitation and temperature and their seasonality. Influences of climate are well reflected in both plant as well as animal life and as such, exercise direct influence on ecosystem and bio-diversity. The issues related to water balance is unique and it is now widely used in hydrology, agriculture, medical sciences, biological studies etc. Therefore, the Thornthwaite\u2019s scheme of classification is significant ecologically also as it considers the aspects of moisture recharge, porosity and permeability of soil etc.<\/p>\r\n&nbsp;\r\n<p style=\"text-align: justify\">The most valuable contribution of Thornthwaite is his concept of evaporation-evapotranspiration. It has helped in studying water balance in an applied sense. Not only devising equations for the identification of climate group, Thornthwaitehas also established a laboratory of climatology atDrextel Institute of Technology, Centerton, New Jersey. Instructional manuals and tables were also published for solving difficulties of calculations. Similar to the use of statistical tables in mathematical calculations, tables on climate developed by Thornthwaite are widely used in studying climate types and climate change. The method and means of representation is simple and helps in devising solutions for the increasing incidence of the scarcity of water with which world is currently faced. The classification is widely used to map long term climate and associated ecological conditions. It is simple and easy to work out the type of climate if alphabetical (letter)) codes are known. Similarly, if data on temperature, precipitation and seasonality is available, it is easy to code the climate type.<\/p>\r\n\r\n<\/div>\r\n&nbsp;\r\n<p style=\"text-align: justify\">With the increasing incidence of extreme climate events, there has been an increasing interest in using the classification to identify changes in climate and potential changes in different life forms such as plants, animals and humans. The most useful significance of Thornthwaite\u2019s climate classification is that it helps to predict the dominant vegetation type based on climatic data and vice versa. From different scientific reports, it has been established that more than 5% of all the land area worldwide had moved from wetter and colder classifications to drier and hotter classifications. The concept of water balance is essential to monitor the requirement of water for crops in different seasons.<\/p>\r\n\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td><strong>you can view video on THORNTHWAITE\u2019S CLIMATIC CLASSIFICATION<\/strong><\/td>\r\n<td><a href=\"https:\/\/youtu.be\/9yl0sXAWZ00\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-120\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"\" width=\"36\" height=\"36\" \/><\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n&nbsp;\r\n<div class=\"textbox learning-objectives\">\r\n<h3>References<\/h3>\r\n<ul>\r\n \t<li style=\"text-align: justify\">Das Yashwant (2015), \u201cWater Balance and Climatic Classification of a Tropical City Delhi-India\u201d, American Journal of Water Resources, Vol.3, No.5, pp.124-146<\/li>\r\n \t<li style=\"text-align: justify\">Leighly, John (1964), \u201cProblems in the Classification of Climates\u201d Annals of the Association of American Geographers.Vol.54. No.4, December, pp.615-621.<\/li>\r\n \t<li style=\"text-align: justify\">Mathur, R.N. (1969), \u201cA Study in the ground \u2013 water hydrology of the Meerut district, Uttar Pradesh, India.\u201d PH.D. Thesis Published by Banaras Hindu University, Varanasi.<\/li>\r\n \t<li style=\"text-align: justify\">Ribeiro Antonio da Cunha and Recardo Edgar Schofel (2011) \u201cThe Evapotranspiration in Climate Classification\u201d Evapotranspiration- From Measurements to Agricultural and Environmental Applications, Dr. Giacomo Gerosha (Ed.), ISBN:978-953-307-512-9, INTECH.<\/li>\r\n \t<li style=\"text-align: justify\">Thornthwaite, C.W. (1931), \u201cThe climates of North America According to a New Classification,\u201d The Geographical Review, Vol. 21, No.4, pp.633-655.<\/li>\r\n \t<li style=\"text-align: justify\">Thornthwaite, C.W.(1946) \u201cThe moisture-factor in climate\u201d Transaction of American Geophysics Union, Vol. 27, pp. 41-48.<\/li>\r\n \t<li style=\"text-align: justify\">Thornthwaite, C.W. (1948) \u201cAn approach towards a rational classification of climate\u201d Geographical Review, Vol.38, No.1: 55-94.<\/li>\r\n \t<li style=\"text-align: justify\">Thornthwaite, C.W, and Mather T.R. (1955) \u201cThe water balance\u201d Climatology, Vol.8, No.1, <em>Laboratory of Climatology, Drextel Institute of Technology, Centerton, <\/em>New Jersey.<\/li>\r\n \t<li style=\"text-align: justify\">Thornthwaite, C.W, and Mather T.R. (1957).\u201dInstructions and tables for computing potential evapotranspiration and the water balance.\u201dClimatology, Vol.10, No.3, <em>Laboratory of<\/em> <em>Climatology, Drextel Institute of Technology, Centerton, <\/em>New Jersey.<\/li>\r\n<\/ul>\r\n&nbsp;\r\n\r\n<strong>\u00a0 \u00a0External Links<\/strong>\r\n<ul>\r\n \t<li>http:\/\/rsnz.natlib.govt.nz\/volume\/rsnz_79\/rsnz_79_01_002080.html<\/li>\r\n \t<li>http:\/\/www.fao.org\/docrep\/x5375e\/x5375e02.htm<\/li>\r\n \t<li>http:\/\/www.preservearticles.com\/2011111717300\/short-essay-on-thornthwaites-1931-classification.html<\/li>\r\n \t<li>http:\/\/www.travel-university.org\/general\/geography\/climatology\/thornthwaite.html<\/li>\r\n<\/ul>\r\n<\/div>","rendered":"<div><span style=\"float: right\"><a href=\"https:\/\/youtu.be\/9yl0sXAWZ00\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"epgp books\" width=\"75px\" height=\"75px;\" \/><\/a><br \/>\n<\/span><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Objectives<\/strong><\/p>\n<ul>\n<li style=\"text-align: justify\">explain the design of climatic classification, name various measurements that characterize a climate group,<\/li>\n<li style=\"text-align: justify\">explain combination of letters,<\/li>\n<li style=\"text-align: justify\">discuss the utility of water balance, state the climatic conditions during different seasons.<\/li>\n<\/ul>\n<div>\n<p>\u00a0 \u00a0 Introduction<\/p>\n<p>&nbsp;<\/p>\n<p>Learning Objectives<\/p>\n<p>&nbsp;<\/p>\n<p>Historical Development in Thornthwaite\u2019s Climate Classification Method of Calculation<\/p>\n<p>&nbsp;<\/p>\n<p>PET Index:<\/p>\n<p>&nbsp;<\/p>\n<p>Heat Index:<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture Index:<\/p>\n<p>&nbsp;<\/p>\n<p>Thermal Index:<\/p>\n<p>&nbsp;<\/p>\n<p>Design of Classification<\/p>\n<p>&nbsp;<\/p>\n<p>First capital alphabet for moisture regimes<\/p>\n<p>&nbsp;<\/p>\n<p>Second capital alphabet with dash for thermal provinces<\/p>\n<p>&nbsp;<\/p>\n<p>Third small alphabet for seasonal surplus or deficit of moisture<\/p>\n<p>&nbsp;<\/p>\n<p>Aridity index for humid climates<\/p>\n<p>&nbsp;<\/p>\n<p>Humidity index for arid climates<\/p>\n<p>&nbsp;<\/p>\n<p>Water Balance and its Explanation<\/p>\n<p>&nbsp;<\/p>\n<p>Soil-Water- Balance (SWB)<\/p>\n<p>&nbsp;<\/p>\n<p>Spatial Distribution of World Climates<\/p>\n<p>&nbsp;<\/p>\n<p>Criticism of the Classification:<\/p>\n<p>&nbsp;<\/p>\n<p>Climates of India by Thornthwaite<\/p>\n<p>&nbsp;<\/p>\n<p>Difference between Koppen and Thornthwaite\u2019s Classification of Climates<\/p>\n<p>&nbsp;<\/p>\n<p>Summary and Conclusions<\/p>\n<p>&nbsp;<\/p>\n<p>References<\/p>\n<p>&nbsp;<\/p>\n<p>Web Links<\/p>\n<p>&nbsp;<\/p>\n<p>Multiple Choice Questions<\/p>\n<p>&nbsp;<\/p>\n<p>Answer Key<\/p>\n<\/div>\n<div>\n<p>&nbsp;<\/p>\n<p><strong>Introduction<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Charles Warren Thornthwaite, an American climatologist attempted classification of world climates in 1931. The climatic classification was revised and improved further in 1948. The classification incorporates evapotranspiration, temperature and precipitation information and is widely used in studying the animal species diversity and potential impacts of climate change. Thornthwaite\u2019s classification is an improved and modified form of Koeppen\u2019s classification of climates. It is assumed that precipitation, temperature and plant association are strongly correlated. Natural vegetation is the true representation or the product of the climate. It is an outcome of precipitation and thermal conditions prevailing at a specific place over a long period of time. Growth and development of natural vegetation not only depended upon precipitation alone but also on the rate of evaporation. The classification of climates is based on the concept of potential evapotranspiration (PET). By potential evapotranspiration we mean the total amount of water vaporized and transpired over a certain area if sufficient amount of water is available.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Learning Objectives<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>After studying this module, you will be able to:<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Historical Developments in Thornthwaite\u2019s Climatic Classification<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Being a Professor of Climatology, Thornthwaitewrote a research paper entitled \u201cThe Climates of North America according to a new classification\u201d. It was publishedin 1931 in <em>Geographical<\/em> <em>Review <\/em>Vol. 21. Later, in 1946, Thornthwaite attempted a study on the \u201cMoisture factor in Climate\u201d. The article was published in 1948 in<em>Transactions of American Geophysics Union,<\/em> Vol. 27. Themodified\u00a0 version\u00a0 of\u00a0 Thornthwaite\u2019s\u00a0 climate\u00a0 classification\u00a0 was\u00a0 published\u00a0 in\u00a0 1948 entitled\u201cAn Approach towards a Rational Classification of Climates\u201d in <em>Geographical Review,<\/em> in Vol. 38.Further elaborated work of Thornthwaite in association with Mather was published in 1955 ina seminal researcharticle on \u201cWater Balance\u201d in <em>Climatology,<\/em> Vol. 8. Both the scholars have written \u201cInstructional Manuals and Tables for computing evapotranspiration and water balance\u201d in 1957 which was published in <em>Climatology,<\/em> Vol.10. Thornthwaite is credited to have established a Laboratory of Climatology at Drextel Institute of Technology, Centerton, New\u00a0<span style=\"text-align: initial;font-size: 1em\">Jersey, USA. These tables and manuals are even now being used across the world for studies related to the classification of climates and climate change assessments.<\/span><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Studies on water balance are now widely used to assess the soil moisture and surplus and deficit situations of water at any place. Rebeiro and Recardo (20011) published an article on the \u201cThe Evapotranspiration in Climate Classification\u201d. Similarly, Das (2015) published an article on the \u201cWater Balance and Climatic Classification of a Tropical City Delhi- India\u201d. The applied aspect of the work relates to disciplines such as hydrology, agriculture, ecosystem situations, human health and medical sciences.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Method of Calculation<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thornthwaite used a set of indices to work out classification of climates. The indices used in the exercise are potential evapotranspiration (PET) index, heat index (I), moisture index (MI) and thermal index (TI).The potential evapotranspiration (PET) is calculated from mean monthly temperature (in 0C) in association with day length for a 30 day month (12- hour days). Heat index (I) is worked out by monthly mean heat index adjusted for the number of hours of day light and days in specific months. It is linked to mean monthly air temperature. Moisture index (MI) is worked out by subtracting PET values with precipitation (P) divided by PET and the coefficient multiplied by 100. Thermal index (TI) is worked out by adding minimum temperature values to maximum and the sum divided by two. Equation form of each Index is given below:<\/p>\n<p>&nbsp;<\/p>\n<p><strong>a) PET Index:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Potential\u00a0 evapotranspiration\u00a0 (PET)\u00a0 index\u00a0 is\u00a0 worked\u00a0 out\u00a0 using\u00a0 mean\u00a0 monthly\u00a0 air temperature in 0 C.<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-480\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205.png\" alt=\"\" width=\"555\" height=\"318\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205.png 555w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205-300x172.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205-65x37.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205-225x129.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-205-350x201.png 350w\" sizes=\"auto, (max-width: 555px) 100vw, 555px\" \/><\/p>\n<p style=\"text-align: justify\">The above equation and values have been derived from Thornthwaite\u2019s article published in Geographical Review, Vol.38,1948.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>b) Heat Index: <\/strong>Heat index refers to the mean monthly air temperature (0 C) for each month from month 1stto month 12th in degree Celsius. It is further adjusted to number of hours of day light and days in a month. The total values of temperature were then divided by 5, a constant value of average. The coefficient so derived is raised by the power value of 1.514. Thus, heat index refers to sum total of monthly temperature values adjusted to hours of day light divided by a constant value. The final index is further raised to the power 1.514to ascertain the heat index.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-481\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206.png\" alt=\"\" width=\"710\" height=\"402\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206.png 710w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206-300x170.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206-65x37.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206-225x127.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-206-350x198.png 350w\" sizes=\"auto, (max-width: 710px) 100vw, 710px\" \/><\/p>\n<div>\n<p style=\"text-align: justify\">\u00a0<strong>\u00a0c)\u00a0Moisture Index:\u00a0<\/strong>The proportion of precipitation that ultimately remains available for practical purposes after evaporation is known as moisture index. It is being worked out bysubtracting the value of potential evapotranspiration (PET) from precipitation and the balance is divided by potential evapotranspiration (PET). The coefficient is then multiplied by 100 to get the moisture index.<\/p>\n<p>&nbsp;<\/p>\n<p>(MI) = (P-PET\u00f7PET) x100<\/p>\n<p>&nbsp;<\/p>\n<p>Where,<\/p>\n<p>&nbsp;<\/p>\n<p>P\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 = Precipitation<\/p>\n<p>&nbsp;<\/p>\n<p>PET =Potential evapotranspiration<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>d) Thermal Index<\/strong>: The index is being worked out by adding together the maximum temperature value of each day for the month and the sum divided by total number of days in the month. Similarly, average minimum temperature is also worked out by adding together diurnal minimum temperature values for a month and the sum divided by the total number of days in the month. Thermal index is calculated by the addition of average\u00a0<span style=\"text-align: initial;font-size: 1em\">maximum temperature and average minimum temperature and the sum divided by two. Thermal index is, thus, the middle most value lying between maximum and minimum values of temperature.<\/span><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>(TI)= (Tmax + Tmin) \u00f72<\/p>\n<p>&nbsp;<\/p>\n<p>Where,<\/p>\n<p>&nbsp;<\/p>\n<p>Tmax = Maximum temperature<\/p>\n<p>&nbsp;<\/p>\n<p>Tmin = Minimum temperature<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Monthly water surplus (S) or deficit (D) is calculated from a moisture budget assessment including stored soil moisture. A scheme of moisture index (MI), humidity province (expressed in capital alphabets), rainfall (in centimeters), precipitation effectiveness (PE) based on heat (I) and moisture indices (M) and thermal province (expressed in capital alphabets with superscript dash) is presented in Table-1. Heat and thermal indices are extremely useful in working out precipitation effectiveness, which in its turn, is an important indicator of plant growth. Heat index refers to hours of sun light and air temperature whereas thermal index relates to the average thermal condition, i.e. sum total of maximum and minimum temperature divided by two. The table below summarizes different indices and their limits.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Table -1: Major Parameters of Climatic Classification<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-482\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207.png\" alt=\"\" width=\"558\" height=\"238\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207.png 558w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207-300x128.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207-65x28.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207-225x96.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-207-350x149.png 350w\" sizes=\"auto, (max-width: 558px) 100vw, 558px\" \/><\/p>\n<p style=\"text-align: center\"><strong>Source: <\/strong>Based on climatic type and moisture index on page 76, in C.W. Thornthwaite (1948), \u201cAn Approach toward a Rational Classification of Climates\u201d <strong>The Geographical<\/strong> <strong>Review, <\/strong>Vol. 38, No.1, pp. 55-94.<\/p>\n<p>&nbsp;<\/p>\n<p>Thornthwaite\u2019s classification is, thus, based on two important indices:<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Precipitation Effectiveness (PE). Effectiveness of precipitation depends on the distribution pattern of rainfall in a calendar year and evaporation of moisture back tothe atmosphere through different surfaces and means. Seasonal deficiency and surplus of rainfall affects plant growth significantly.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">2. Temperature Efficiency (TE). Temperature efficiency relates to variation in temperature and its role in the growth of plants. Equatorial areas where sunlight and temperatures are usually high with insignificant variation in a calendar year, growth of plants remains high. Contrary to it, arid areas reflect high variation in temperature and sun-light, hence plant growth is retarded significantly. Potential evaporation is, thus, an index of temperature efficiency.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Design of classification:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thornthwaite\u2019s design of climate classification is a combination of three letter alphabets.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>1) <\/strong>First alphabet used in the major climatic classification is any one of the English capital letter from A to E which denotes world\u2019s five moisture regimes. Further, sub division in a major climate is expressed by small numerical values such as 1, 2, 3 denoting variation within moisture regimes. These are:<\/p>\n<p>&nbsp;<\/p>\n<p>A =Wet or Per humid (with moisture index as 100)<\/p>\n<p>&nbsp;<\/p>\n<p>P\/E index= 127 and type of vegetation <strong>\u2018rainforest\u2019<\/strong>.<\/p>\n<p>&nbsp;<\/p>\n<p>B = Humid (with moisture index 20 to 100) B1, B2, B3 and B4<\/p>\n<p>&nbsp;<\/p>\n<p>P\/E index= 64-127 and type of vegetation <strong>\u2018forest\u2019<\/strong>.<\/p>\n<p>&nbsp;<\/p>\n<p>C= Moist sub humid (with moisture index 0 to 20),<\/p>\n<p>&nbsp;<\/p>\n<p>P\/E index =32-63 and type of vegetation <strong>\u2018grasslands\u2019<\/strong>.<\/p>\n<p>&nbsp;<\/p>\n<p>D = Dry sub humid (with moisture index -30 to 0)<\/p>\n<p>&nbsp;<\/p>\n<p>P\/E index= 16-31 and type of vegetation \u2018<strong>steppe\u2019<\/strong>.<\/p>\n<p>&nbsp;<\/p>\n<p>E =Arid (E with moisture index -100 to -67)<\/p>\n<p>&nbsp;<\/p>\n<p>P\/E index= &lt;16 and\u00a0\u00a0\u00a0 type of vegetation <strong>\u2018desert\u2019<\/strong><\/p>\n<div>\n<p style=\"text-align: justify\"><strong>\u00a0<\/strong><\/p>\n<p style=\"text-align: justify\">2)\u00a0The second letter used in the climatic classification is also an English capital alphabet superscript with dash. It denotes thermal provinces. Thornthwaite has divided the world in to six thermal provinces. They are expressed as:<\/p>\n<p>&nbsp;<\/p>\n<p>A\u2019= Mega thermal (Tropical), T\/E index= 127.<\/p>\n<p>&nbsp;<\/p>\n<p>B\u2019= Meso thermal expressed as B1, B2, B3 and B4 T\/E index= 64-127.<\/p>\n<p>&nbsp;<\/p>\n<p>C\u2019= Micro thermal, T\/E index = 32-63.<\/p>\n<p>&nbsp;<\/p>\n<p>D\u2019= Taiga T\/E index = 16-31.<\/p>\n<p>&nbsp;<\/p>\n<p>E\u2019= Tundra T\/E index = 1-15<\/p>\n<p>&nbsp;<\/p>\n<p>F\u2019= Frost T\/E index = 0.<\/p>\n<p>&nbsp;<\/p>\n<p>Based on the moisture and thermal indices, 9 major climates were identified.\u2019<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">3)\u00a0Third letter in combination of alphabets is denoted by a set of 8 small English alphabets. They are used to express the seasonal pattern of the availability of moisture from acute deficit to abundant surplus situations. The expression of small alphabets is explained below:<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p>Rainfall adequate in all seasons = r Rainfall deficient in all the seasons = d<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p>Rainfall deficient (normal) during winter season = w Rainfall deficient (normal) during summer season = s<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Aridity index for humid climates<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit acute during winter = w2<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit acute during summer =s2<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Humidity index for arid climates<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Moisture surplus abundant during winter =s2<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture surplus abundant during summer = w2<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thornthwaite has been concerned about working out seasonal deficiency of moisture in humid climates which appears to be the cause of dryness and apparently halting the growth of plants for specific period. Similarly, places in arid climates do represent moisture surplus seasonally which serves as storage of soil moisture and a basis for growth of plants as grasslands and xerophytes.<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thus, precipitation effectiveness (PE) and temperature efficiency (TE) are closely related and are the expressions of vegetation type. Both the indices record high values where variations in the distribution of pattern of rainfall and temperature reflect little variation. Contrary to this, both the indices record low values if the distribution pattern of rainfall and temperature reflect high variation. However, both the indices are aimed at a common point of reference i. e. vegetation which is true representation of a climate type.<\/p>\n<p>&nbsp;<\/p>\n<p>The third alphabet classification is largely based on the seasonal characteristics of precipitation.<\/p>\n<p>&nbsp;<\/p>\n<p>The following four small alphabets were used to denote the seasonal characteristics of rainfall.<\/p>\n<p>&nbsp;<\/p>\n<p>Based on four seasonal characteristics of rainfall, 20 climatic divisions have been recognized.<\/p>\n<p>&nbsp;<\/p>\n<p>They are presented in Table-2.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Table-2: Classification of Climates Based onMoisture Regimes and Seasonal Characteristics of Moisture.<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-483\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208.png\" alt=\"\" width=\"574\" height=\"250\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208.png 574w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208-300x131.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208-65x28.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208-225x98.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-208-350x152.png 350w\" sizes=\"auto, (max-width: 574px) 100vw, 574px\" \/><span style=\"font-size: 1em;text-align: initial;text-indent: 1em\">\u00a0 \u00a0 <\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"font-size: 1em;text-align: initial;text-indent: 1em\">\u00a0Besides surplus and deficient rainfall at seasonal level, Thornthwaite has also considered the level of seasonal moisture deficiency for humid climates and seasonal abundance of moisture for arid climates as crucial elements in plant growth and the characterization of climates. As such, an attempt was made to work out season specific moisture deficiency from normal to acute for humid climates and moisture surplus from normal to abundant for arid climates. To make it distinct from normal situation, seasonal characteristics were further assigned with numerical values.<\/span><\/p>\n<div>\n<p>&nbsp;<\/p>\n<p>M=Ih &#8211; 0.6 Ia<\/p>\n<p>Or<\/p>\n<p>&nbsp;<\/p>\n<p>M=100 \u03b1 &#8211; 60 \u03b2<\/p>\n<p>&nbsp;<\/p>\n<p>\u03b3<\/p>\n<p>Where,<\/p>\n<p>&nbsp;<\/p>\n<p>Ih is the index of humidity,<\/p>\n<p>&nbsp;<\/p>\n<p>Ia is the index of aridity,<\/p>\n<p>&nbsp;<\/p>\n<p>\u0391lpha (\u03b1) is the water surplus,<\/p>\n<p>&nbsp;<\/p>\n<p>Beta (\u03b2) is the water deficit,<\/p>\n<p>&nbsp;<\/p>\n<p>Gamma (\u03b3) is the water need or potential evapotranspiration.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">The above concept relates to the status of moisture at a specific place. If alpha (\u03b1) exceeds the potential evapotranspiration (PET) or water need (\u03b3), the situation is termed as humid. Similarly,<\/p>\n<p>&nbsp;<\/p>\n<p>if beta exceeds the potential evapotranspiration (PET) or water need (\u03b3), the situation is termed<\/p>\n<p>&nbsp;<\/p>\n<p>as arid.<\/p>\n<p>&nbsp;<\/p>\n<p>The seasonal characteristics are explained below:<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Aridity index for humid climates A, B, and C<\/strong><strong>2<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Proportion of moisture deficit is denoted by:<\/p>\n<p>&nbsp;<\/p>\n<p>No moisture deficit 0-10 = r<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit (normal) during summer season 10-20 = s<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit (normal) during winter season 10-20 = w<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit acute &gt;20% in winter = w2<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture deficit acute &gt;20% in summer =s2<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Humidity index for arid climates C<\/strong><strong>1<\/strong><strong>, D and E<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Proportion of moisture surplus is denoted by:<\/p>\n<p>&nbsp;<\/p>\n<p>Water surplus negligible 0-16.7 =d<\/p>\n<p>&nbsp;<\/p>\n<p>Winter moisture surplus (normal) 16.7-33.3=s<\/p>\n<p>&nbsp;<\/p>\n<p>Summer moisture surplus (normal) 16.7-33.3=w<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture surplus abundant &gt;33.3% in summer =w2<\/p>\n<p>&nbsp;<\/p>\n<p>Moisture surplus abundant &gt;33.3% in winter =s2<\/p>\n<p>&nbsp;<\/p>\n<p>The seasonal variation of effective moisture and summer concentration of temperature efficiency<\/p>\n<p>&nbsp;<\/p>\n<p>has been further refined for the climatic classification. Details have been presented in the table-3.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Table \u2013 3: Thermal Efficiency and its Summer Concentration<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-484\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209.png\" alt=\"\" width=\"528\" height=\"26\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209.png 528w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209-300x15.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209-65x3.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209-225x11.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-209-350x17.png 350w\" sizes=\"auto, (max-width: 528px) 100vw, 528px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-485\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210.png\" alt=\"\" width=\"550\" height=\"209\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210.png 550w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210-300x114.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210-65x25.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210-225x86.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-210-350x133.png 350w\" sizes=\"auto, (max-width: 550px) 100vw, 550px\" \/><\/p>\n<div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>Water Balance and its Explanation: <\/strong>There is a close relationship between rainfall, temperature and potential evapo-transpiration, though they are not linked to a common cause and are evidently the result of different causes. The potential evapo- transpiration rates increase with an increase in temperature and decrease in relative humidity which varies with precipitation. In Indian situation, rates increase steadily from January to May, with increasing temperature and aridity, followed by a rapid decline from June onwards with the onset of summer monsoon. The minimum is ultimately reached in the month of August which also records the heaviest rainfall and resultant humidity. The effect of relative humidity on the rates may be seen from the examples of the months April and July which have mean maximum temperatures of 360 C and 340 C. respectively and the corresponding potential evapo-transpiration rates of 30 and 15 centimeters. A gradual rise in rates is noted from September with a slight increase in air temperature following a decline in rainfall and cloudiness. However, the rise in rates does not continue beyond October because of approaching cold season. The actual evapo- transpiration, as distinct from potential evapo- transpiration, depends upon the amount of water actually available for the growth of plants. As such, it is a function of precipitation provided there is no soil-moisture recharge by capillary action from the water table and that artificial irrigation is not prevalent. Further the actual evapo- transpiration in any month will be less than or equal to the corresponding potential evapo- transpiration according to an existence or otherwise of a water deficit in that month. As such, actual equals the potential only in July, August and September when water deficit is non- existent.<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>Soil-Water-Balance (SWB):\u00a0<\/strong>Thornthwaite and Mather (1957) developed a method for estimating the recharge, storage and abstraction in the process of water percolation to subsoil layers. Thornthwaite as a climatologist, developed the concept of the soil-moisture balance, and he preferred to use it as the foundation of his climate system. He was convinced that soil-moisture balance represents availability of moisture for the plants and an assessment of the availability surplus moisture to supply stream flow and ground water. This concept implies that precipitation alone does not indicate the amount of water actually available to plants. The moisture requirement of plants become higher as temperature increases. A schematic illustration is presented below. It illustrates that rain and irrigation are the two sources of the soil moisture. Evaporation and transpiration are the two ways of moisture transfer to atmosphere. Runoff and percolation are the processes of water flow. Stored soil water has deep percolation and upward movement of soil moisture (Figure 1).<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Figure 1: Soil-Water -Balance<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-486\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211.png\" alt=\"\" width=\"700\" height=\"450\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211.png 700w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211-300x193.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211-65x42.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211-225x145.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-211-350x225.png 350w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center\">Source: <a href=\"http:\/\/passel.unl.edu\/Image\/NolanDiane1129928529\/ch4fig.JPG\">http:\/\/passel.unl.edu\/Image\/NolanDiane1129928529\/ch4fig.JPG<\/a><\/p>\n<div>\n<p>\u00a0 \u00a0 \u00a0The method developed by Thornthwaite is given below:<\/p>\n<p>&nbsp;<\/p>\n<p>Recharge= (Precip+ snow melt +inflow) \u2013 sources\u00a0 (1)\u00a0<span style=\"text-align: initial;font-size: 1em\">(Interception+ Outflow +ET)-\u25b2 soil moisture sinks<\/span><\/p>\n<\/div>\n<\/div>\n<p>R= (P-Ia )2 P&gt;Ia\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (2)<\/p>\n<p>&nbsp;<\/p>\n<p>( P+ ( Smax-Ia)<\/p>\n<p>&nbsp;<\/p>\n<p>Where,<\/p>\n<p>&nbsp;<\/p>\n<p>R is run off,<\/p>\n<p>&nbsp;<\/p>\n<p>P is daily precipitation,<\/p>\n<p>&nbsp;<\/p>\n<p>Smax is maximum soil moisture holding capacity and<\/p>\n<p>&nbsp;<\/p>\n<p>Ia is initial abstraction, the amount of precipitation that must fall before any runoff is generated.<\/p>\n<p>&nbsp;<\/p>\n<p>The initial abstraction (Ia ) term is related to a maximum storage term (Smax) as follows:<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-487\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212.png\" alt=\"\" width=\"851\" height=\"205\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212.png 851w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212-300x72.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212-768x185.png 768w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212-65x16.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212-225x54.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-212-350x84.png 350w\" sizes=\"auto, (max-width: 851px) 100vw, 851px\" \/><\/p>\n<div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thus, it has been established that availability of water is crucial to the survival and growth of plants and animals including humans. Currently, the world is faced with water crisis and declining bio diversity. Thornthwaite could percieve the prospective crisis of water nearly seventy years before and for that he developed the method and a diagram to represent the situation so that possible solutions could be searched out. Figure-2 represents a water balance diagram.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-488\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213.png\" alt=\"\" width=\"783\" height=\"415\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213.png 783w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213-300x159.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213-768x407.png 768w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213-65x34.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213-225x119.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-213-350x186.png 350w\" sizes=\"auto, (max-width: 783px) 100vw, 783px\" \/><\/p>\n<p style=\"text-align: center\"><strong>Source:<\/strong><a href=\"https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-budget-diagram-of-the-Canakkale-weather-station-for-the-period\">https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-<\/a><a href=\"https:\/\/www.researchgate.net\/figure\/262057727_fig4_Fig-4-Thornthwaite-water-budget-diagram-of-the-Canakkale-weather-station-for-the-period\">budget-diagram-of-the-Canakkale-weather-station-for-the-period<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Three parameters PE, TE and seasonal characteristics of surplus and deficit moisture conditions formed the basis for dividing world into 32 types of climates. Moisture provinces A and E have three subdivisions in each. Similarly, B and D moisture provinces have seven and six sub divisions each while C moisture province has a maximum of 10 sub divisions. Thermal provinces D\u2019, E\u2019, and F\u2019 have been represented by single climate type without having further subdivisions in them. Major climate types have been presented in following Table-4.<\/p>\n<div>\n<p>&nbsp;<\/p>\n<p><strong>Table-4: Major climate types (based on moisture regime, thermal province and seasonal characteristics)<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-489\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214.png\" alt=\"\" width=\"497\" height=\"316\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214.png 497w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214-300x191.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214-65x41.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214-225x143.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-214-350x223.png 350w\" sizes=\"auto, (max-width: 497px) 100vw, 497px\" \/><\/p>\n<div>\n<p style=\"text-align: justify\"><strong>Note: <\/strong>The first row of the table relates to titles: Moisture regimes (bold letters) and thermal provinces (italicized) for each column.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">A workable scheme for identifying the type of climate based on potential evapotranspiration, average annual thermal efficiency, seasonal variation of effective moisture, and summer concentration of thermal efficiency has been presented by Thornthwaite. A map accessed from internet is also presented below. It is easy to recognize polar climates at the top closely followed by tundra type climate towards south. Close to equator, one can notice A, B, and C type of climates given successively northward. Desert climates (D type) are recognizable along the margins of tropical and subtropical belts. The map showing climatic divisions of the world, as per Thornthwaite\u2019s classification, is presented in Figure-3.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Figure-3: Thornthwaite\u2019s Climatic Zones<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-490\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215.png\" alt=\"\" width=\"817\" height=\"445\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215.png 817w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215-300x163.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215-768x418.png 768w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215-65x35.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215-225x123.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-215-350x191.png 350w\" sizes=\"auto, (max-width: 817px) 100vw, 817px\" \/><\/p>\n<div>\n<p style=\"text-align: center\"><strong>Source:<\/strong><a href=\"https:\/\/www.researchgate.net\/publication\/250171991_A_Revised_Thornthwaite-Type_Global_Climate_Classification\">https:\/\/www.researchgate.net\/publication\/250171991_A_Revised_Thornthwaite-Type_Global_Climate_Classification<\/a><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>Spatial distribution of world climates: <\/strong>The pattern of spatial distribution of climates reveals a pattern of zonation from equator to poles. While equatorial areas with high P\/E and T\/E index values express luxuriant vegetation in the form of rain forests, Tundra and Polar areas with low P\/E and T\/E indices express scanty and limited vegetation. Similarly, eastern coasts in subtropical areas have high P\/E values and moderate T\/E values and thus have forests which are mostly deciduous in nature. While humid climates (A, B, and C) are characterized by normal seasonal deficiency of moisture, arid climates (D &amp; E) do have normal seasonal surplus of moisture in at least one season. Thus dry climates usually occupy a large place in interior parts of the continents, the western margins of the continents in tropics and eastern margins of the subtropics and temperate zones. London (U.K.) is an example of humid oceanic climate, while Athens (Greece) is an example of mild winters in Mediterranean climate. Lima (Peru) represent dry continental climate while Denver in (U.S.A.) humid continental climate. La Paz (Bolivia) at an altitude of 3664 meters above sea level has very low P\/E and very low T\/E index. It represents highland climate (refer to Figure-3).<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Criticism of the classification:<\/strong><\/p>\n<\/div>\n<div>\n<p>\u00a0 \u00a0 \u00a01. Thornthwaite\u2019s classification of world climates is improved qualitatively.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">However, classification seems to have ignored the role of prevailing winds, relative humidity, air pressure and air masses.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">2. The classification system has proved most satisfactory in case of North America where vegetation boundaries nearly coincide with particular P\/E values. But it is not satisfactory for tropical and semiarid areas.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">3. The calculation of soil moisture balance for different natural regions and vegetation zones poses basic problem. Several combinations at local and regional levels increase complexity obscuring clarity of classification.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">4. Availability of data for all the meteorological variables over time and space is a serious problem.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">5. Despite being an improved classification qualitatively, it is being less used and of limited application because of its complex nature.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">6.\u00a0 Thornthwaite\u2019s classification of\u00a0 world climates is improved\u00a0 qualitatively.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">However, classification of climate seems to have ignored the role of relief, position of sun with reference to incidence of solar radiation on the earth.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">7. Current issues of global warming, climate change and increasing incidence of extreme events does not find a place in Thornwaite\u2019s classification of world climates.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Climates of India<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Climates of India using Thornthwaite\u2019s modified scheme of classification (1948) have been explained with the help of a map accessed from internet location. Results reveal that per humid \u2018A\u2019 typeof climates have two distinct clusters in India. One in the North Eastern parts of India excluding some parts of plains of Assam and adjoining Nagaland. Second cluster is found along Malabar Coastal region. The \u2018B\u2019 type of climate (humid) is found in northern part of the state of West Bengal, Sikkim and parts of Assam valley. It is also found along Western Ghat Mountains in proximity to Malabar Coast. The \u2018C\u2019 type (moist sub &#8211; humid) of climate is experienced in large parts of Orissa, Jharkhand, eastern Bihar and Chhattisgarh regions. A small zone of moist sub humid climate is also experienced along Nilgiri hills, Western Ghat Mountains and along coastal Maharashtra. The \u2018C2\u2019(dry sub &#8211; humid) type of climate is found in large parts of pennisular India, in northern plains and along Tamil Nadu Coast. The semiarid \u2018D\u2019 type of\u00a0<span style=\"text-align: initial;font-size: 1em\">climate is experienced in southern parts of Punjab- Haryana plains, Mathura- Agra belt, eastern Rajasthan, Madhya Pradesh, Gujarat, Maharashtra, Andhra Pradesh and central Tamil Nadu. The arid \u2018E\u2019 type climates are found in three major pockets. The northern most pocket of \u2018E\u2019 type of climate is found in Himalayan states of Jammu &amp;Kashmir, Himachal Pradesh and Uttarakhand. The second major pocket of \u2018E\u2019 type of climate is found in western parts of Rajasthan state and large parts of Gujarat state including Kutchh and Kathiawad regions. Besides these arid regions, a relatively small pocket of \u2018E\u2019 type of climate is also found in parts of north eastern Maharashtra and adjoining Andhra Pradesh (Figure-4).<\/span><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p><strong>Figure-4: Climates of India Based on Thornthwaite\u2019 Modified Classification 1948<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-491\" src=\"http:\/\/geop14.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216.png\" alt=\"\" width=\"491\" height=\"445\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216.png 491w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216-300x272.png 300w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216-65x59.png 65w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216-225x204.png 225w, https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-content\/uploads\/sites\/262\/2019\/06\/1-216-350x317.png 350w\" sizes=\"auto, (max-width: 491px) 100vw, 491px\" \/><\/p>\n<div>\n<p style=\"text-align: center\">Source: <a href=\"https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-Climate-classification.png\">https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-<\/a><a href=\"https:\/\/www.iasmania.com\/wp-content\/uploads\/2016\/02\/Thornthwaite-Scheme-of-Climate-classification.png\">Climate-classification.png<\/a><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><strong>Difference in the classification of climates by Koppen and Thornthwaite: <\/strong>The scheme of the classification of world climates presented by scholars Koppen and Thornthwaite present marked difference in arrangements of alphabets, their combinations and indices. For example arid and\u00a0<span style=\"font-size: 1em\">semiarid climates find second place in the arrangements in Koppen\u2019s scheme whereas these climates find fourth and fifth place in Thornthwaite\u2019s scheme. While Koppen seems to attach higher weightage to contrasting climatic characters, Thornthwaite seems to attach higher weightage to gradual succession of characters from humid to arid. Koppen\u2019s scheme is more popular as it involves simple calculations of broad parameters whereas Thornthwaite\u2019s scheme requires rigorous calculation of moisture conditions, soil moisture balance and acute shortage and abundant surplus conditions. Therefore, the two scholars have contributed significantly in advancing our understanding about climatic elements, climate change and its impact assessments on life forms on the earth.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<p>&nbsp;<\/p>\n<p><strong>Summary and Conclusions:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">Thornthwaite\u2019s classification of world climates is based on the precipitation and temperature indices to explain the vegetation. The classification provides an efficient way to describe biotic life of plants and animals through precipitation and temperature and their seasonality. Influences of climate are well reflected in both plant as well as animal life and as such, exercise direct influence on ecosystem and bio-diversity. The issues related to water balance is unique and it is now widely used in hydrology, agriculture, medical sciences, biological studies etc. Therefore, the Thornthwaite\u2019s scheme of classification is significant ecologically also as it considers the aspects of moisture recharge, porosity and permeability of soil etc.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">The most valuable contribution of Thornthwaite is his concept of evaporation-evapotranspiration. It has helped in studying water balance in an applied sense. Not only devising equations for the identification of climate group, Thornthwaitehas also established a laboratory of climatology atDrextel Institute of Technology, Centerton, New Jersey. Instructional manuals and tables were also published for solving difficulties of calculations. Similar to the use of statistical tables in mathematical calculations, tables on climate developed by Thornthwaite are widely used in studying climate types and climate change. The method and means of representation is simple and helps in devising solutions for the increasing incidence of the scarcity of water with which world is currently faced. The classification is widely used to map long term climate and associated ecological conditions. It is simple and easy to work out the type of climate if alphabetical (letter)) codes are known. Similarly, if data on temperature, precipitation and seasonality is available, it is easy to code the climate type.<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\">With the increasing incidence of extreme climate events, there has been an increasing interest in using the classification to identify changes in climate and potential changes in different life forms such as plants, animals and humans. The most useful significance of Thornthwaite\u2019s climate classification is that it helps to predict the dominant vegetation type based on climatic data and vice versa. From different scientific reports, it has been established that more than 5% of all the land area worldwide had moved from wetter and colder classifications to drier and hotter classifications. The concept of water balance is essential to monitor the requirement of water for crops in different seasons.<\/p>\n<table>\n<tbody>\n<tr>\n<td><strong>you can view video on THORNTHWAITE\u2019S CLIMATIC CLASSIFICATION<\/strong><\/td>\n<td><a href=\"https:\/\/youtu.be\/9yl0sXAWZ00\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-120\" src=\"http:\/\/epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/2018\/11\/download.png\" alt=\"\" width=\"36\" height=\"36\" \/><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<div class=\"textbox learning-objectives\">\n<h3>References<\/h3>\n<ul>\n<li style=\"text-align: justify\">Das Yashwant (2015), \u201cWater Balance and Climatic Classification of a Tropical City Delhi-India\u201d, American Journal of Water Resources, Vol.3, No.5, pp.124-146<\/li>\n<li style=\"text-align: justify\">Leighly, John (1964), \u201cProblems in the Classification of Climates\u201d Annals of the Association of American Geographers.Vol.54. No.4, December, pp.615-621.<\/li>\n<li style=\"text-align: justify\">Mathur, R.N. (1969), \u201cA Study in the ground \u2013 water hydrology of the Meerut district, Uttar Pradesh, India.\u201d PH.D. Thesis Published by Banaras Hindu University, Varanasi.<\/li>\n<li style=\"text-align: justify\">Ribeiro Antonio da Cunha and Recardo Edgar Schofel (2011) \u201cThe Evapotranspiration in Climate Classification\u201d Evapotranspiration- From Measurements to Agricultural and Environmental Applications, Dr. Giacomo Gerosha (Ed.), ISBN:978-953-307-512-9, INTECH.<\/li>\n<li style=\"text-align: justify\">Thornthwaite, C.W. (1931), \u201cThe climates of North America According to a New Classification,\u201d The Geographical Review, Vol. 21, No.4, pp.633-655.<\/li>\n<li style=\"text-align: justify\">Thornthwaite, C.W.(1946) \u201cThe moisture-factor in climate\u201d Transaction of American Geophysics Union, Vol. 27, pp. 41-48.<\/li>\n<li style=\"text-align: justify\">Thornthwaite, C.W. (1948) \u201cAn approach towards a rational classification of climate\u201d Geographical Review, Vol.38, No.1: 55-94.<\/li>\n<li style=\"text-align: justify\">Thornthwaite, C.W, and Mather T.R. (1955) \u201cThe water balance\u201d Climatology, Vol.8, No.1, <em>Laboratory of Climatology, Drextel Institute of Technology, Centerton, <\/em>New Jersey.<\/li>\n<li style=\"text-align: justify\">Thornthwaite, C.W, and Mather T.R. (1957).\u201dInstructions and tables for computing potential evapotranspiration and the water balance.\u201dClimatology, Vol.10, No.3, <em>Laboratory of<\/em> <em>Climatology, Drextel Institute of Technology, Centerton, <\/em>New Jersey.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>\u00a0 \u00a0External Links<\/strong><\/p>\n<ul>\n<li>http:\/\/rsnz.natlib.govt.nz\/volume\/rsnz_79\/rsnz_79_01_002080.html<\/li>\n<li>http:\/\/www.fao.org\/docrep\/x5375e\/x5375e02.htm<\/li>\n<li>http:\/\/www.preservearticles.com\/2011111717300\/short-essay-on-thornthwaites-1931-classification.html<\/li>\n<li>http:\/\/www.travel-university.org\/general\/geography\/climatology\/thornthwaite.html<\/li>\n<\/ul>\n<\/div>\n","protected":false},"author":12,"menu_order":25,"template":"","meta":{"_acf_changed":false,"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["dr-kanchan-singh"],"pb_section_license":""},"chapter-type":[],"contributor":[58],"license":[],"class_list":["post-479","chapter","type-chapter","status-publish","hentry","contributor-dr-kanchan-singh"],"part":3,"_links":{"self":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapters\/479","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":6,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapters\/479\/revisions"}],"predecessor-version":[{"id":497,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapters\/479\/revisions\/497"}],"part":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapters\/479\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/wp\/v2\/media?parent=479"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/pressbooks\/v2\/chapter-type?post=479"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/wp\/v2\/contributor?post=479"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/geop14\/wp-json\/wp\/v2\/license?post=479"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}