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🗺️ Drought, Climate Classification & Agro-Climatic Zones of India

Drought types and agricultural drought sub-types, weather forecasting, 15 agro-climatic zones, 20 agro-ecological regions, Koppen and Thornthwaite classification, LGP, and meteorological institutions and instruments

Why Drought and Climate Zones Matter for Agriculture

Why Drought and Climate Zones Matter for Agriculture explained with a practical agricultural meteorology visual
This visual gives a practical anchor for why drought and climate zones matter for agriculture so the concept is easier to connect with field observation and exam recall.

In the previous lesson, we explored clouds and cloud seeding — how clouds form, the 10 types, and artificial rainmaking techniques. Now we tackle the consequences when rain fails: drought — and the classification systems that help planners match crops to regions.

In 2018, a severe drought in Maharashtra forced thousands of farmers to abandon their soybean and cotton crops. Dryland farmers in Rajasthan routinely face crop failure when growing periods shrink below 5 weeks. Understanding drought classification helps design contingency plans, while knowing India's agro-climatic zones ensures that the right crop is grown in the right region — the foundation of agricultural planning.

This lesson covers:

  1. Drought types — meteorological, agricultural, hydrological, socio-economic
  2. Agricultural drought sub-types — early, mid, late, chronic, apparent
  3. Drought indices — AAI, MAI, MDI, NDVI, SPI, Palmer Index
  4. Weather forecasting — short, medium, and long range; synoptic vs statistical methods
  5. IMD and agro-meteorological services — AMD, IAAS, DAAS, AMFUs
  6. Growing Degree Days and crop-weather models — GDD formula, CERES, DSSAT
  7. Length of Growing Period — LGP thresholds for cropping systems
  8. Agro-climatic zones — Planning Commission's 15 zones, ICAR's 127 zones, NBSS&LUP's 20 AERs
  9. Climate classification — Koppen, Thornthwaite, Troll systems
  10. Meteorological instruments — heights, uses, and key devices

All topics are high-yield for IBPS AFO, NABARD Grade A, and FCI exams.


What is Drought?

Drought can be defined in three ways:

  1. The condition under which crops fail to mature because of insufficient water supply through rains.
  2. A situation where water required for transpiration and evaporation by crops exceeds available soil moisture.
  3. No precipitation in a rainy season for more than 15 days continuously — such stretches are called dry spells.

IMPORTANT

Droughts are classified into 4 main categories that occur in a cascading sequence: Meteorological → Agricultural → Hydrological → Socio-economic.

Four drought types in agriculture showing the sequence from meteorological drought to agricultural, hydrological, and socio-economic drought
Drought usually begins with rainfall failure, then progresses into crop stress, water-source depletion, and finally social and economic hardship.

Four Types of Drought

Four Types of Drought explained with a practical agricultural meteorology visual
This visual gives a practical anchor for four types of drought so the concept is easier to connect with field observation and exam recall.
Type Definition Key Threshold Agricultural Impact
Meteorological Seasonal rainfall falls below 75% of the climatologically expected normal over a wide area Moderate: 26–50% deficit; Severe: >50% deficit Cropping pattern disrupted; sowing delayed
Agricultural Inadequate rainfall followed by soil moisture deficit; 4 consecutive weeks (May–mid Oct) or 6 weeks (rest of year) without adequate soil moisture Yield reduction due to soil moisture shortage Growth reduction; yield loss; crop failure
Hydrological Streams, rivers, reservoirs, lakes, and wells dry up due to marked depletion of surface water; ground water table falls Lags meteorological drought by weeks/months Irrigation sources fail; industry and power affected
Socio-economic Drought impacts on livelihoods, food supply, and economy; cascading effect of the above three types Human welfare indicators decline Food prices rise; migration; employment loss; famine

TIP

Cascading sequence for exams: Meteorological → Agricultural → Hydrological → Socio-economic. Agricultural drought is further divided into 5 sub-types (see below).


Five Types of Agricultural Drought

Sub-Type When It Occurs Cause Agricultural Example
1. Early Season Start of season Delayed onset of monsoon or prolonged dry spell after onset Seedling mortality in rainfed sorghum; need for resowing bajra
2. Mid-Season During crop growth Inadequate soil moisture between two successive rainfall events Maize at tasseling stage suffers; grain filling reduced in rice
3. Late Season (Terminal) End of season Early cessation of monsoon; weak monsoon activity Rainfed rice in dry sub-humid regions fails due to September rain failure (40–50% dry spells > 5 days)
4. Chronic Most years Rainfall and stored soil moisture inadequate most years Assured growing period is hardly 6–7 weeks in arid Rajasthan; only short-duration bajra survives
5. Apparent Any time Mis-matching of cropping pattern with rainfall/moisture Growing long-duration rice in a 90-day LGP zone

TIP

Mnemonic — "EML-CA": Early, Mid, Late (terminal), Chronic, Apparent. These five sub-types cover all agricultural drought scenarios.

Agricultural drought sub-types across a crop season showing early season, mid-season, late season, chronic, and apparent drought
Each agricultural drought subtype hurts the crop at a different point in the season, from delayed sowing to terminal grain-filling stress.

Key Drought Terms

Key Drought Terms explained with a practical agricultural meteorology visual
This visual gives a practical anchor for key drought terms so the concept is easier to connect with field observation and exam recall.
Term Definition
Drought year Annual rainfall ≤ 75% of normal
Drought-prone area Severe or moderate drought in ≥ 20% of years
Chronic drought area Severe or moderate drought in ≥ 40% of years
Palmer Drought Index Given by Palmer (USA, 1965); uses temperature + rainfall to estimate relative soil moisture

Drought and Moisture Indices

Drought and Moisture Indices explained with a practical agricultural meteorology visual
This visual gives a practical anchor for drought and moisture indices so the concept is easier to connect with field observation and exam recall.
Index Full Form / Formula Use
AAI (Aridity Anomaly Index) Departure from normal aridity Used by IMD weekly to monitor agricultural drought in real-time
MAI (Moisture Availability Index) P (at 50% probability) / PET × 100 Crop planning in dryland areas
MDI (Moisture Deficit Index) (P − PET) / PET × 100 Estimate dryness of a region (used in ICAR classification)
TMI (Thornthwaite Moisture Index) AET / PET How well water supply meets atmospheric demand
NDVI (Normalised Difference Vegetation Index) Satellite-derived; lower values = stressed vegetation Drought severity assessment from vegetation greenness
SPI (Standardised Precipitation Index) Based solely on monthly precipitation data Versatile drought index; works across all time scales

TIP

For exams: AAI = IMD weekly drought monitoring. MAI = dryland crop planning. NDVI = satellite-based. SPI = precipitation-only index.


Drought Monitoring Systems

Drought Monitoring Systems explained with a practical agricultural meteorology visual
This visual gives a practical anchor for drought monitoring systems so the concept is easier to connect with field observation and exam recall.
System Full Form Location Function
NADAMS National Agricultural Drought Assessment and Monitoring System NRSA, Dehradun Satellite-based vegetation monitoring using NDVI
NRSA National Remote Sensing Agency Hyderabad Remote sensing data for crop and drought monitoring

NOTE

NADAMS uses satellite-derived NDVI to classify drought severity — lower NDVI values indicate stressed or sparse vegetation, confirming drought conditions.


Weather Forecast Types

Drought monitoring is reactive — it tells us what has happened. Weather forecasting is proactive — it gives farmers advance warning to protect crops. Accurate weather forecasting is the first line of defence against drought and weather damage:

Forecast Type Validity Period Primary Users What It Predicts
Short range Up to 72 hours Farmers, marine agencies, public Rainfall, heavy rain, heat/cold waves, thunderstorms
— Now casting 0–2 hours Same as above Immediate weather conditions
— Very short range 0–12 hours Same as above Near-term weather
Medium range 3 to 10 days Farmers Rainfall occurrence, temperature trends
Long range Beyond 10 days up to a month/season Planners, policy makers Monsoon rainfall; expressed as deviation from normal

NOTE

Daily weather forecast in India is issued from Pune (IMD headquarters). Medium-range forecasts help farmers decide irrigation scheduling, while long-range forecasts help planners allocate seed and fertiliser.

Forecasting Methods

Method Best For Approach
Synoptic Short-range forecasts Weather maps, pressure systems, fronts
Statistical Short and long range forecasts Historical data, statistical relationships
Weather forecasting and agrometeorological advisory flow from radar and satellite data to farmer field actions
Forecasts become useful on farms only after advisory systems translate them into timely actions like irrigation adjustment and pre-rain crop protection.

IMD and Agro-Meteorological Services

IMD and Agro-Meteorological Services explained with a practical agricultural meteorology visual
This visual gives a practical anchor for imd and agro-meteorological services so the concept is easier to connect with field observation and exam recall.

Agricultural Meteorology Division (AMD)

  • Established at Pune in 1932 — one of the oldest agro-met services worldwide.
  • Services: GKMS (Gramin Krishi Mausam Seva), Agromet advisories, Training for AMFUs.

Integrated Agro-meteorological Advisory Service (IAAS)

Milestone Year Detail
Weather broadcasts for farmers 1945 IMD radio broadcasts
State-level advisories 1976 Short-range forecast based
NCMRWF established 1988 Medium-range (3–10 day) numerical weather prediction
AMFUs created 130 units across all 127 agroclimatic zones in SAUs/ICAR/IITs
IAAS launched 1 April 2007 IMD took over Agromet Advisory Service
DAAS launched 2008 District-level Agromet Advisory Service
  • IMD issues 5-day district-level forecasts twice a week using Multi-Model Ensemble technique.
  • Seven parameters: rainfall, max/min temperature, wind speed/direction, RH, cloudiness.
  • Advisories reach farmers through SMS, mobile apps, radio, TV, newspapers, Kisan Call Centres.

TIP

Exam tip: AMD = Pune, 1932. IAAS = 1 April 2007. DAAS = 2008. AMFUs = 130 units.


Growing Degree Days (GDD)

Growing Degree Days (GDD) explained with a practical agricultural meteorology visual
This visual gives a practical anchor for growing degree days (gdd) so the concept is easier to connect with field observation and exam recall.

Weather forecasts predict what is coming; Growing Degree Days help predict where a crop stands in its development cycle. GDD is one of the most important tools in agricultural meteorology for predicting crop development and planning farm operations.

  • Formula: GDD = (Tmax + Tmin) / 2 − Tbase
  • Negative values are treated as zero (plants do not undergo negative growth).
  • Base temperature = temperature below which plant growth is zero (e.g., 5°C for cereals).
  • GDDs are accumulated daily from the beginning of the season.
  • Used to compare growing season progress against long-term average and estimate maturity.

IMPORTANT

GDD is frequently asked as a formula question. Remember: negative GDD = zero, and base temp for cereals = 5°C.


Crop-Weather Modelling

Crop-Weather Modelling explained with a practical agricultural meteorology visual
This visual gives a practical anchor for crop-weather modelling so the concept is easier to connect with field observation and exam recall.

Mathematical equations explaining crop interaction with environment, used to predict growth and yield. First used by Baier (1979).

Model Full Form Application
CERES Crop Environment Resource Synthesis Rice, Maize, Sorghum, Wheat simulation
DSSAT Decision Support System for Agro-technology Transfer Climate change impact on rice (TN)
PRECIS Providing Regional Climates for Impacts Studies Regional climate projections
InfoCrop-RICE Impact of high temp + elevated CO₂ on rice yield
CROPGRO-Groundnut Climate change impact on groundnut (Anantapur, Junagadh)

TIP

For exams: Baier (1979) = pioneer of crop-weather modelling. CERES = most versatile crop simulation model.


Length of Growing Period (LGP)

LGP is the period when moisture availability from rainfall exceeds half the potential evapotranspiration (PET). It determines what cropping system is viable:

LGP and Cropping System

LGP (Days) Viable Cropping System Agricultural Example
< 75 Perennial vegetation only Rangelands in western Rajasthan
75–140 Sole cropping Single crop of bajra or short-duration pulses
140–180 Intercropping Sorghum + pigeonpea intercrop in Maharashtra
> 180 Double cropping Rice-wheat system in Punjab

LGP and Climate Region

Thornthwaite climate classification linked with moisture adequacy and growing-period categories
Thornthwaite climate classes are easiest to revise when tied directly to moisture adequacy and practical crop-duration implications.
Climate region grouping by length of growing period and moisture availability
This region map helps connect LGP classes with the agricultural climate regions they represent.
LGP (Days) Region
< 75 Arid
75–120 Semi-Arid
> 120 Humid

IMPORTANT

LGP is the single most important parameter for deciding cropping intensity. Regions with LGP < 75 days are too dry for annual crops.


15 Agro-Climatic Zones of India (Planning Commission, 1989)

India agro-climatic regions relevant to drought and farming adaptation
Drought risk changes sharply across India's agro-climatic regions, so zone identity matters for crop and contingency planning.

The Planning Commission of India (1989) divided the country into 15 agro-climatic regions based on rainfall, temperature, topography, cropping systems, and water resources.

All 15 Agro-Climatic Zones — Detailed

1. Western Himalayan Zone

Feature Detail
States J&K, Himachal Pradesh, UP hills
Climate Cool and humid
Rainfall 750–1500 mm
Temperature July: 5–30°C; January: -5 to 5°C
Soils Skeletal, podsolic, hilly brown; silty loams prone to erosion
Crops Winter: barley, oats, wheat; Kharif: rice (valleys), maize (hills)
Horticulture Apple, peach, apricot, pear, cherry, almond, litchi, walnut
Special Saffron grown here; cropping intensity lowest in J&K, highest in HP

2. Eastern Himalayan Zone

Feature Detail
States Sikkim, Darjeeling, Arunachal Pradesh, NE states, parts of WB
Climate Humid and sub-humid
Rainfall 1840–3530 mm
Crops Rice, maize, potato, tea
Special Shifting cultivation (Jhuming) in ~1/3 of cultivated area; major constraint: soil erosion

3. Lower Gangetic Plains Zone

Feature Detail
States West Bengal (lower Gangetic plain), Brahmaputra valley
Climate Moist humid to dry humid
Rainfall 1300–1600 mm
Soils Mostly alluvial; flood-prone
Crops Rice (main), jute, rapeseed, wheat

4. Middle Gangetic Plains Zone

Feature Detail
States 12 districts of eastern UP, 27 districts of Bihar
Area 16 million hectares
Irrigation 39% of gross cropped area
Cropping intensity 142%
Rainfall 1211–1470 mm
Crops Sugarcane, paddy, maize, wheat

5. Upper Gangetic Plains Zone

Feature Detail
States 32 districts of central and western UP
Irrigation intensity 131% (canals and tube wells)
Cropping intensity 145%
Rainfall 720–980 mm
Crops Rice, wheat, sugarcane

6. Trans-Gangetic Plains Zone

Feature Detail
States Punjab, Haryana, Delhi, Chandigarh, Sriganganagar (Rajasthan)
Also called Satluj Yamuna Plains
Climate Semi-arid
Rainfall 650–1250 mm
Key distinction Highest net sown area, highest irrigated area, high cropping intensity, highest ground water utilisation
Crops Wheat, sugarcane, cotton, rice, gram, maize, pulses, oilseeds

7. Eastern Plateau and Hills Zone

Feature Detail
States Eastern MP, southern WB, most of inland Odisha
Climate Moist sub-humid to dry sub-humid
Rainfall 1270–1435 mm
Soils Red, yellow, laterites, alluvium; shallow to medium depth
Irrigation Through tanks and tube wells
Crops Rice, millets, maize, oilseeds, ragi, gram, potato
Special Largest agro-climatic zone in India; deficient in water resources

8. Central Plateau and Hills Zone

Feature Detail
States 46 districts of MP, parts of UP and Rajasthan
Climate Semi-arid to dry humid
Rainfall 400–1550 mm
Rainfed area 75% with low-value cereal crops
Soils Mixed red, yellow, black; ravines present
Crops Wheat, gram, jowar, bajra, paddy, millets, oilseeds, cotton
Constraint Scarcity of water

9. Western Plateau and Hills Zone

Feature Detail
States Major part of Maharashtra, parts of MP, one district of Rajasthan
Climate Semi-arid
Rainfall 600–1040 mm (avg 904 mm)
Irrigated area Only 12.4%
Soils Regur (black) soil
Crops Jowar, bajra, cotton, wheat
Special Provides 50% of India's jowar; best quality orange, grape, and banana

10. Southern Plateau and Hills Zone

Feature Detail
States 35 districts of AP, Karnataka, and TN
Climate Semi-arid
Dryland farming 81% of area
Cropping intensity 111%
Rainfall 675–1000 mm
Crops Coffee, cotton, tea, cardamom, spices

11. East Coast Plains and Hills Zone

Feature Detail
States East coast of TN, AP, and Odisha
Climate Semi-arid and dry sub-humid
Rainfall 780–1290 mm
Soils Alluvial and coastal sands
Rainfed area 75%
Crops Rice, ragi, jowar, bajra
Special Contributes 17.5% of India's groundnut production

12. West Coast Plains and Ghats Zone

Feature Detail
States West coast of TN, Kerala, Karnataka, Maharashtra, Goa
Rainfall 2230–3650 mm (highest rainfall zone)
Soils Laterite and coastal alluvial
Crops Rice, ragi, groundnut, tapioca
Special Spices and plantation crops along Western Ghats hill slopes

13. Gujarat Plains and Hills Zone

Feature Detail
States 19 districts of Gujarat
Climate Arid and semi-arid
Irrigated area Only 32.5%
Rainfed area 78%; about 60% drought-prone
Rainfall 340–1793 mm
Crops Maize, wheat, groundnut, tobacco, cotton, jowar, bajra
Special Known as "Oilseed Region"

14. Western Dry Zone

Feature Detail
States Nine districts of Rajasthan
Characteristics Hot sandy desert; erratic rainfall; scanty vegetation; no perennial rivers
Rainfall 95 mm (lowest in India)
Ground water Deep and often brackish
Forest area 1.2%; irrigated: 6.3%
Cropping intensity 105% (lowest)
Crops Bajra, gram, wheat, rapeseed
Special Famine and drought are common features

15. Islands Zone

Feature Detail
States Andaman & Nicobar Islands and Lakshadweep
Climate Equatorial
Rainfall 3000 mm over 8–9 months
Crops Rice, maize, millets, pulses, arecanut, turmeric, cassava
Special Nearly half the cropped area under coconut

Key Zone Facts for Exams

Zone Distinguishing Feature
Trans-Gangetic (Zone 6) Highest net sown area, highest irrigated area, highest cropping intensity, highest groundwater use
Eastern Himalayan (Zone 2) Shifting cultivation (Jhuming)
Eastern Plateau & Hills (Zone 7) Largest agro-climatic zone
Gujarat Plains (Zone 13) Oilseed zone; 60% drought-prone
Western Plateau (Zone 9) 50% of India's jowar; best orange, grape, banana
Western Dry (Zone 14) Lowest rainfall (95 mm); famine and drought zone
West Coast (Zone 12) Highest rainfall (2230–3650 mm)
Western Himalayan (Zone 1) Saffron cultivation

ICAR Classification — 127 Agro-Climatic Zones (NARP)

ICAR Classification — 127 Agro-Climatic Zones (NARP) explained with a practical agricultural meteorology visual
This visual gives a practical anchor for icar classification — 127 agro-climatic zones (narp) so the concept is easier to connect with field observation and exam recall.

Under the National Agricultural Research Project (NARP), ICAR advised State Agricultural Universities to divide each state into sub-zones based on rainfall, cropping pattern, and administrative units. This yielded 127 agro-climatic zones. ICAR's climate classification uses Moisture Deficit Index (MDI) under the All India Coordinated Research Project on Dryland Agriculture, specifically designed for agricultural planning in dryland areas.

State-wise NARP Zones (Selected)
State Zones State Zones
Madhya Pradesh 12 (most) Uttar Pradesh 10
Karnataka 10 Rajasthan 9
Odisha 9 Maharashtra 9
Gujarat 8 Kerala 8
Andhra Pradesh 7 Tamil Nadu 7
West Bengal 6 Assam 6
Bihar 6 NE Hill region 6
Punjab 5 J&K 4
Himachal Pradesh 4 Haryana 2

Key Numbers for Exams

Classification Number Authority
Agro-climatic regions (Planning Commission) 15 Planning Commission, 1989
Agro-climatic zones (NARP) 127 ICAR/NARP
Total ACZs (ICAR reclassification) 131 ICAR
Agro-ecosystems under NARP 5 ICAR
Agro-ecological regions (NBSS&LUP) 20 NBSS&LUP/ICAR
State with most NARP zones Madhya Pradesh (12) ICAR

20 Agro-Ecological Regions (NBSS & LUP)

20 Agro-Ecological Regions (NBSS & LUP) explained with a practical agricultural meteorology visual
This visual gives a practical anchor for 20 agro-ecological regions (nbss & lup) so the concept is easier to connect with field observation and exam recall.

The National Bureau of Soil Survey and Land Use Planning (NBSS & LUP) of ICAR delineated 20 agro-ecological regions (AERs) using the FAO 1978 concept — superimposing length of growing periods and bio-climate maps on soil physiographic maps.

All 20 Agro-Ecological Regions
Ecosystem No. Region Key States Eco-region Soil Type
Arid 1 Western Himalaya J&K, HP Cold Arid Shallow skeletal
Arid 2 Deccan Plateau AP, Karnataka Hot Arid Red & Black
Arid 3 Western Plain, Kutch, part of Kathiawar Gujarat, Rajasthan, Haryana, Punjab Hot Arid Desert & Saline
Semi-Arid 4 Northern Plain & Central Highlands (Aravallis) Gujarat, Rajasthan, UP, MP, Haryana, Punjab Hot Semi-Arid Alluvium Derived
Semi-Arid 5 Central (Malwa) Highlands, Gujarat Plains Gujarat, MP Hot Semi-Arid Medium & Deep Black
Semi-Arid 6 Deccan Plateau Karnataka, AP, Maharashtra, MP Hot Semi-Arid Shallow & Medium Black
Semi-Arid 7 Deccan (Telangana) Plateau & Eastern Ghats AP Hot Semi-Arid Red and Black
Semi-Arid 8 Eastern Ghats, TN Uplands, Deccan (Karnataka) Plateau Karnataka, TN, Kerala Hot Semi-Arid Red Loamy
Sub-Humid 9 Northern Plain Bihar, UP, Punjab Hot Sub-humid (dry) Alluvium-derived
Sub-Humid 10 Central Highlands (Malwa, Bundelkhand, Eastern Satpura) MP, Maharashtra Hot Sub-humid Black & Red
Sub-Humid 11 Eastern Plateau (Chhattisgarh) MP Hot Sub-humid Red & Yellow
Sub-Humid 12 Eastern Plateau (Chhota Nagpur) & Eastern Ghats Odisha, WB, Bihar, MP, Maharashtra Hot Sub-humid Red & Laterite
Sub-Humid 13 Eastern Plain UP, Bihar Hot Sub-humid (moist) Alluvium-derived
Sub-Humid 14 Western Himalayas J&K, HP, UP Warm Sub-humid to humid Brown Forest & Podzolic
Humid/Per-humid 15 Bengal & Assam Plains WB, Assam Hot Sub-humid to Humid Alluvium derived
Humid/Per-humid 16 Eastern Himalayas Arunachal Pradesh, Sikkim, WB Warm Per-humid Brown & Red Hill
Humid/Per-humid 17 NE Hills (Purvanchal) Tripura, Mizoram, Meghalaya Warm Per-humid Red & Lateritic
Coastal 18 Eastern Coastal Plain TN, Puducherry, AP, Odisha, WB Hot Sub-humid to Semi-arid Coastal Alluvium
Coastal 19 Western Ghats & Coastal Plain Kerala, Goa, Maharashtra, Gujarat Hot Humid Per-humid Red, Lateritic, Alluvium
Island 20 Andaman-Nicobar & Lakshadweep A&N, Lakshadweep Hot Humid Per-humid Red Loamy & Sandy

AER Ecosystem Distribution

Ecosystem Type Number of AERs
Arid 3
Semi-Arid 5
Sub-Humid 6
Humid/Per-humid 3
Coastal 2
Island 1
Total 20

Climate Classification Systems

Climate Classification Systems explained with a practical agricultural meteorology visual
This visual gives a practical anchor for climate classification systems so the concept is easier to connect with field observation and exam recall.

Agro-climatic zones are practical divisions for planning. Climate classification systems provide the scientific framework behind those divisions. Different scientists have classified climate using different criteria:

Classification By Basis Key Detail
De Candolle Vegetation Earliest; plant-based
Koppen (1884, modified 1918, 1936) Mean monthly temperature and mean annual rainfall Most widely used; first quantitative classification; 5 groups
Thornthwaite (1931) P/E ratio and P/E index (sum of 12 monthly P/E ratios) Recognised runoff and percolation losses; 6 temperature provinces (Tropical to Frost)
Thornthwaite and Mather (1948) Moisture index (Im), PET Im = 100 × [(P − PE) / PE]; modified by Mathur (1955)
Troll (1965) Temperature and duration of humid months Classification called "Seasonal Climates of the Earth"; humid month = month where P > PET; modified by ICRISAT for India

Koppen Classification (A, B, C, D, E)

Koppen divided climate into five categories:

Koppen climate groups in India with tropical rainy, dry, humid temperate, cold forest, and polar examples linked to major crops
This board turns the five Koppen groups into memorable India-linked crop landscapes, making the classification much easier to revise than a text table alone.
Group Climate Type Temperature/Precipitation Criteria Indian Agricultural Region
A Tropical rainy Coolest month > 18°C; P > E Kerala, coastal Karnataka — rice, coconut, spices
B Tropical dry Coolest month > 18°C; P < E Rajasthan, Gujarat — bajra, guar, drought-tolerant crops
C Humid temperate rainy Coolest month 18°C to -3°C Nilgiris, Western Ghats hills — tea, coffee
D Cold forest Coolest month < -3°C; precipitation as snow Kashmir, HP — apple, walnut, saffron
E Polar Warmest month < 10°C Ladakh — minimal agriculture

TIP

Exam fact: Groups A, C, D, E are classified based on temperature. Group B is the only one classified based on rainfall (precipitation vs evaporation).


Thornthwaite Classification — Moisture Index (Im)

Thornthwaite moisture index classification from humid to arid zones
Thornthwaite's system translates moisture balance into classes that are directly useful for drought interpretation and land-use planning.
Im Value Climate Agricultural Viability
100 and above Per humid Plantation crops; waterlogging risk
20 to 100 Humid Rice, jute, tea
0 to 20 Moist sub-humid Wheat, maize with some irrigation
-33.3 to 0 Dry sub-humid Rainfed millets, pulses
-66.7 to -33.3 Semi-arid Sorghum, groundnut, cotton
-100 to -66.7 Arid Only drought-tolerant crops with irrigation

Moisture Deficit Index formula: MDI = 100 (P - PET) / PET

NOTE

Thornthwaite classified climate based on PE index, TE index, and seasonal distribution of rainfall. Optimum years of weather data for defining climate: 31 years.


Meteorological Institutions

Meteorological Institutions explained with a practical agricultural meteorology visual
This visual gives a practical anchor for meteorological institutions so the concept is easier to connect with field observation and exam recall.

The classification systems above were developed by international scientists, but India's own meteorological infrastructure implements them. These institutions and their founding details are frequently asked in exams.

Institution Location & Year Key Function
IMO (International Meteorological Organization) Geneva, 1873 Predecessor of WMO
IMD (Indian Meteorological Department) Calcutta, 1875 (later Shimla → Pune → New Delhi) India's weather forecasting authority
WMO (World Meteorological Organization) Switzerland, 1950 Global weather coordination
IITM (Indian Institute of Tropical Meteorology) Pune, 1962 Monsoon and tropical weather research
IIRS (Indian Institute of Remote Sensing) Dehradun, 1966 Remote sensing for agriculture
NCMRWF New Delhi, 1988 Medium range weather forecasting
NRSA (National Remote Sensing Agency) Hyderabad Satellite-based crop monitoring

WARNING

Common exam confusion: IMO (1873, Geneva) is the predecessor of WMO (1950). IMD was established in Calcutta in 1875, not Pune or Delhi (those were later shifts).


Agro-Meteorological Observatory Standards

Agro-Meteorological Observatory Standards explained with a practical agricultural meteorology visual
This visual gives a practical anchor for agro-meteorological observatory standards so the concept is easier to connect with field observation and exam recall.
Standard Specification
Distance from buildings/trees 10 times the height of the obstacle
Plot size 60 m (N-S) x 40 m (E-W)

Meteorological Instruments — Heights and Uses

Every agro-meteorological observatory follows standardised placement rules to ensure consistent, comparable data. The heights below and the instrument-function pairings are heavily tested in competitive exams.

Standard Heights from Ground Level

Instrument Height What It Measures
Sunshine recorder, Anemometer, Wind vane 3.08 m Sunshine hours, wind speed, wind direction
Stevenson screen 1.22 m Houses thermometers (max, min, dry/wet bulb)
Automatic rain gauge 75 cm Continuous rainfall recording
Ordinary rain gauge, Evaporation pan 50 cm Daily rainfall, evaporation
Agro-meteorological observatory layout showing standard heights of wind instruments, Stevenson screen, rain gauges, and evaporation pan
Standard instrument placement keeps agrometeorological observations comparable by fixing both instrument height and distance from obstacles.

Key Instruments and Their Uses

Instrument Measures Agricultural Use
IR Gun / Infrared Thermometer Plant canopy surface temperature (8–14 μm range) Estimates crop water stress without contact
Net Radiometer Net radiation at earth's surface Energy balance studies
Quantum Sensor PAR above crop canopy Light availability for photosynthesis
Tube Solarimeter PAR reaching ground through crop canopy Canopy light interception efficiency
Pyradiometer Both long-wave and short-wave radiation Total radiation balance studies
Assaman Psychrometer RH in open and crop canopy Humidity monitoring for pest management
Hygrograph Continuous record of RH Long-term humidity tracking
Rain Gauge Rainfall Basic rainfall measurement
Pluviograph Continuous rainfall record Rainfall intensity analysis
Drosometer / Dew Gauge Dew measurement Dew contribution to dryland crops
USWB Evaporimeter / Atmometer Evaporation Irrigation scheduling
Cone Penetrometer Soil mechanical resistance Tillage planning
Fortin Barometer (Mercurial) Most accurate atmospheric pressure Weather station standard
Barograph Continuous atmospheric pressure Pressure trend monitoring

Evapotranspiration, Soil, and Water Instruments

Instrument Measures Key Detail
Lysimeter Evapotranspiration (ET) Most accurate method for measuring ET; large soil container with vegetation
Tensiometer Soil moisture tension Range: 0–0.8 bar; widely used for irrigation scheduling
Infiltrometer Infiltration rate Double-ring type; measures vertical water entry into soil
Permeameter Hydraulic conductivity Measures rate of water flow through soil
Piezometer Depth of water table / groundwater pressure Monitoring well water levels

Temperature and Frost Instruments

Instrument Measures Key Detail
Cryometer Temperature below 0°C Uses alcohol instead of mercury (Hg freezes at −39°C)
Infra-Red Thermometer Canopy temperature Indicator of crop water stress (stressed crops = higher canopy temp)

Plant Growth and Physiology Instruments

Instrument Measures Key Detail
Auxanometer Plant growth Mechanical growth measurement device
Crescograph Minute plant growth Invented by Sir J.C. Bose; magnifies growth up to 10,000×
Potometer Transpiration Measures water uptake rate by cut shoot
Porometer Stomatal opening area Indicates plant water status and photosynthetic activity
Pressure Chamber / Thermocouple Leaf water potential Measures plant water stress directly
Pressure Membrane Apparatus Moisture equivalents Soil water retention curves

Density and Liquid Instruments

Instrument Measures Key Detail
Hydrometer Relative density of liquids Used in soil particle size analysis
Lactometer Fat percentage in milk Dairy quality testing
Pycnometer Soil specific gravity Soil physical property determination

Exam-Important Rapid-Fire Facts

Exam-Important Rapid-Fire Facts explained with a practical agricultural meteorology visual
This visual gives a practical anchor for exam-important rapid-fire facts so the concept is easier to connect with field observation and exam recall.
Quick-Reference Facts for Competitive Exams

Atmosphere and Radiation

  • Average temperature of earth surface: 14–15°C
  • 50% of atmospheric mass below 5.6 km
  • 90% below 16 km; 99% below 40 km
  • Air density at sea level: 1.2 kg/m³
  • Density decreases with height
  • Diurnal temperature variation: up to 16°C
  • Seasonal variation: less near equator
  • Incoming solar radiation: short wave (visible)
  • Outgoing earth radiation: long wave (infrared)
  • Temperatures at tropopause, stratopause, mesopause remain constant

Pressure and Wind

  • Equatorial low-pressure belt: Doldrums (5°N and S)
  • Atmospheric pressure = force per unit area
  • Most accurate pressure instrument: Fortin barometer

Humidity

  • Maximum RH: morning; Minimum RH: afternoon
  • RH = 100% when temperature = dew point
  • Pest incidence higher at higher RH

Agriculture-Specific

  • Plant hardening causes: increased sugar concentration
  • Highest solar energy utilisation: Sugarcane (10–12%)
  • Acid rain caused by: SO₂ and NO₂
  • Frost damage worst on: sandy soils
  • Hailstorms: before onset and after withdrawal of monsoon
  • Optimum weather data for climate: 31 years
  • Weather data from sloppy land: Topo climate
  • Weather data from standing crop: Microclimate
  • Conversion efficiency: 3,700 to 4,100 cal/g of dry matter
  • Oldest light intensity unit: Lux
  • Biological amplification of DDT: Bio-magnification
  • Atmospheric gases are in: mixed states

Summary Table

Summary Table explained with a practical agricultural meteorology visual
This visual gives a practical anchor for summary table so the concept is easier to connect with field observation and exam recall.
Topic Key Fact Exam Value
Drought — dry spell No rain for > 15 days continuously Definition
Drought cascade Met → Agri → Hydro → Socio-economic Sequence
Meteorological drought Rainfall < 75% of normal; Moderate: 26–50% deficit; Severe: >50% Threshold
Agricultural drought sub-types Early, Mid, Late, Chronic, Apparent (EML-CA) Mnemonic
Drought year Rainfall ≤ 75% of normal Definition
Drought-prone area Severe/moderate drought ≥ 20% of years Definition
Chronic drought area Severe/moderate drought ≥ 40% of years Definition
Palmer Drought Index Palmer, USA, 1965 Index
AAI IMD weekly drought monitoring Index
MAI P at 50% probability / PET × 100 Index
NDVI Satellite-based vegetation index for drought Index
NADAMS NRSA, Dehradun; satellite drought monitoring Monitoring
Terminal drought Early cessation of monsoon; rainfed rice fails Crop-specific
Chronic drought Growing period only 6–7 weeks Duration
Short-range forecast Up to 72 hours Time period
Synoptic method Best for short-range forecasts Method
Statistical method Best for short and long range forecasts Method
Long-range forecast Beyond 10 days to a season Time period
AMD established Pune, 1932 Institution
IAAS launched 1 April 2007 Institution
DAAS launched 2008 Institution
AMFUs 130 units Institution
GDD formula (Tmax + Tmin)/2 − Tbase; negative = zero Formula
GDD base temp (cereals) 5°C Threshold
Crop-weather modelling Baier (1979); CERES, DSSAT, PRECIS Models
Thornthwaite (1931) P/E ratio, P/E index, 6 temperature provinces Classification
Troll (1965) "Seasonal Climates of the Earth"; humid month = P > PET; modified by ICRISAT Classification
LGP < 75 days Arid; perennial vegetation only Classification
LGP 140–180 days Intercropping viable System choice
Planning Commission zones 15 agro-climatic regions (1989) Number
NARP zones 127 (ICAR: 131) Number
ICAR classification Under All India Coordinated Research Project on Dryland Agriculture Classification
NBSS&LUP regions 20 agro-ecological regions Number
Trans-Gangetic Zone Highest irrigation, sown area, cropping intensity Zone identification
Eastern Plateau & Hills Largest agro-climatic zone Zone identification
Western Dry Zone Lowest rainfall (95 mm) Zone identification
Koppen — Group B Only group classified by rainfall, not temperature Classification basis
IMD established Calcutta, 1875 Institution question
WMO established Switzerland, 1950 Institution question
Lysimeter Most accurate ET measurement Instrument
Tensiometer Soil moisture tension, 0–0.8 bar Instrument
Crescograph J.C. Bose; 10,000× magnification Instrument
Stevenson screen height 1.22 m Instrument height
Rain gauge height 50 cm Instrument height

Summary Cheat Sheet

Summary Cheat Sheet explained with a practical agricultural meteorology visual
This visual gives a practical anchor for summary cheat sheet so the concept is easier to connect with field observation and exam recall.
Concept / Topic Key Details
Drought dry spell No rain for > 15 days continuously
Drought cascade Met → Agri → Hydro → Socio-economic
Meteorological drought Rainfall < 75% of normal; Moderate 26–50%; Severe >50%
Agricultural drought sub-types Early, Mid, Late, Chronic, Apparent (EML-CA)
Drought year Rainfall ≤ 75% of normal
Drought-prone area Drought in ≥ 20% of years
Chronic drought area Drought in ≥ 40% of years
Palmer Drought Index Palmer, USA, 1965
AAI IMD weekly drought monitoring
MAI P at 50% probability / PET × 100
NDVI Satellite-based vegetation drought index
SPI Standardised Precipitation Index (monthly)
NADAMS NRSA, Dehradun; satellite drought monitoring
Terminal drought Early cessation of monsoon; rainfed rice fails
Chronic drought Growing period only 6-7 weeks
Short-range forecast Up to 72 hours
Synoptic method Best for short-range
Statistical method Best for short + long range
Long-range forecast Beyond 10 days to a season
AMD established Pune, 1932
IAAS launched 1 April 2007
DAAS launched 2008
AMFUs 130 units
GDD formula (Tmax + Tmin)/2 − Tbase; negative = zero; cereals Tbase = 5°C
Crop-weather modelling Baier (1979); CERES, DSSAT, PRECIS, InfoCrop-RICE, CROPGRO-Groundnut
Thornthwaite (1931) P/E ratio, P/E index, 6 temperature provinces
Troll (1965) "Seasonal Climates of the Earth"; humid month = P > PET; modified by ICRISAT
ICAR classification Under All India Coordinated Research Project on Dryland Agriculture
LGP < 75 days Arid; perennial vegetation only
LGP 140-180 days Intercropping viable
Planning Commission zones 15 agro-climatic regions (1989)
NARP zones 127 (ICAR: 131)
NBSS&LUP regions 20 agro-ecological regions
Trans-Gangetic Zone Highest irrigation, sown area, cropping intensity
Eastern Plateau & Hills Largest agro-climatic zone
Western Dry Zone Lowest rainfall (95 mm)
Koppen Group B Only group classified by rainfall, not temperature
IMD established Calcutta, 1875
WMO established Switzerland, 1950
Lysimeter Most accurate ET measurement
Tensiometer Soil moisture tension 0–0.8 bar
Crescograph J.C. Bose; 10,000× magnification
Stevenson screen height 1.22 m
Rain gauge height 50 cm
Optimum climate data 31 years

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