Climatology II: Köppen and Thornthwaite, ENSO, Meteorological Hazards and Climate Change
2. Thornthwaite's classification
C.W. Thornthwaite made two attempts. His 1931 scheme used precipitation effectiveness — the P-E index, the sum over twelve months of each month's precipitation-to-evaporation ratio — and temperature efficiency (the T-E index). The P-E index gave five humidity provinces matched to vegetation: A wet (rainforest), B humid (forest), C subhumid (grassland), D semi-arid (steppe) and E arid (desert). His 1948 scheme is the more important and is genuinely different in principle: it replaced vegetation proxies with a physically computed potential evapotranspiration (PE) — the water that would be lost from a vegetated surface if water were never short — estimated from mean temperature and day length. Comparing PE with precipitation month by month in a water balance yields a water surplus (s) in wet months and a water deficit (d) in dry ones.
From these Thornthwaite built a moisture index. In 1948 it was Im = (100s − 60d) ÷ PE, the deficit weighted at 0.6 because soil water can carry plants through part of a dry season; Thornthwaite and Mather (1955) removed the weight: Im = 100(s − d) ÷ PE. Positive values mean moist climates and negative values dry ones: A perhumid (Im of 100 and above), B1 to B4 humid (in steps of 20 from 20 to 100), C2 moist subhumid (0 to 20), C1 dry subhumid, D semi-arid and E arid. Thermal efficiency is read from annual PE itself, from megathermal (A') to frost (E'), and letters for the season of surplus or deficit complete the code. Because PE is computed rather than inferred from plants, the 1948 scheme is used for irrigation planning and agricultural water budgets as much as for mapping.
| Point | Köppen | Thornthwaite (1948) |
|---|---|---|
| Basis | Vegetation boundaries, expressed through temperature and rainfall | Water balance: precipitation against potential evapotranspiration |
| Method | Empirical thresholds | Rational, computed index |
| Strength | Simple, uses common data, maps well at world scale | Physically meaningful; useful for agriculture and hydrology |
| Weakness | Ignores evaporation and the effectiveness of rain | PE estimated from temperature only; complex |
3. ENSO: El Niño, La Niña and the Southern Oscillation
In a normal year the south-east trades blow across the equatorial Pacific from east to west. They pile warm surface water into a warm pool in the west, around Indonesia, where the air rises and rain is heavy; off Peru and Ecuador cold, nutrient-rich water upwells and supports one of the world's richest fisheries. The thermocline — the boundary between warm surface water and cold deep water — is deep in the west and shallow in the east. The east–west overturning of air along the equator is the Walker circulation. In an El Niño the trades weaken or reverse; warm water flows back eastward as Kelvin waves, the thermocline deepens in the east, upwelling off Peru fails and the anchovy catch collapses, heavy rain falls on the arid coast of Peru and Ecuador, and drought strikes Indonesia and Australia. La Niña is the opposite phase — an exaggerated normal year, with stronger trades, a colder east Pacific and heavier rain in the west.
The atmospheric half of the system was found first. Sir Gilbert Walker, Director-General of Observatories in India, searching in the 1920s for predictors of monsoon failure, identified the Southern Oscillation: a see-saw of surface pressure between the eastern and western tropical Pacific. It is measured by the Southern Oscillation Index (SOI), the standardised pressure difference between Tahiti and Darwin. A strongly negative SOI (pressure high at Darwin, low at Tahiti) goes with El Niño, a positive one with La Niña. Jacob Bjerknes (1969) joined ocean and atmosphere into one coupled system, hence ENSO. Today an El Niño is declared from sea-surface temperature in the Niño 3.4 region: NOAA's Oceanic Niño Index must stay at or above +0.5 °C for five overlapping three-month seasons. El Niño years often bring a weak Indian monsoon, but not always — the strong El Niño of 1997 came with a near-normal monsoon, partly because of a positive Indian Ocean Dipole, the west–east temperature contrast across the Indian Ocean described by Saji and colleagues in 1999.
4. Meteorological hazards and climate change
| Hazard | Mechanism and Indian context |
|---|---|
| Tropical cyclone | IMD grades systems from depression (31–49 km/h) through cyclonic storm (62–88), severe, very severe and extremely severe to super cyclonic storm (222 km/h and above). Storm surge, not wind, causes most deaths. The Bay of Bengal generates several times as many as the Arabian Sea. |
| Thunderstorm and hailstorm | Cumulus, mature and dissipating stages; strong updrafts carry hailstones repeatedly through the freezing level. Pre-monsoon nor'westers (Kalbaisakhi) in Bengal and Assam, andhis in the north-west. |
| Tornado | A narrow, violently rotating column from a supercell thunderstorm; rated on the (Enhanced) Fujita scale; frequent in the US Great Plains, rare but not unknown in India and Bangladesh. |
| Heat and cold waves | In the plains IMD declares a heat wave when the maximum is at least 40 °C and 4.5 °C or more above normal, or 45 °C or above outright; cold waves are defined by departures of the minimum below normal. |
| Drought | Meteorological (rainfall deficiency), hydrological (depleted streams, reservoirs and groundwater), agricultural (soil moisture too low for crops) and socio-economic. |
| Cloudburst | IMD: rainfall of about 100 mm or more in an hour over a small area of roughly 20–30 km², usually where moist air is forced up steep Himalayan slopes. |
| Glacial lake outburst flood (GLOF) | Sudden failure of a lake dammed by moraine or ice, often triggered by an avalanche, landslide or heavy rain; South Lhonak lake in Sikkim burst into the Teesta in October 2023. Glacier retreat is multiplying such lakes. |
Evidence of past climates comes from proxies: ice cores from Antarctica (Vostok and EPICA, the latter reaching back about 800,000 years) record temperature through isotope ratios and past greenhouse gases in trapped air bubbles; oxygen isotopes (δ¹⁸O) in the shells of marine foraminifera trace global ice volume; tree rings, pollen in lake and bog sediments, varves, corals, glacial landforms and historical records fill in the recent past, including the Medieval Warm Period (about 950–1250) and the Little Ice Age (about 1300–1850). The causes operate on different timescales. The Milankovitch cycles — changes in eccentricity (about 100,000 years), axial obliquity (41,000 years, between about 22.1° and 24.5°) and precession (about 19,000–23,000 years) — pace the glacial–interglacial cycles. Solar variability matters too (the Maunder Minimum of 1645–1715, with almost no sunspots, fell in the Little Ice Age); volcanic eruptions cool the Earth for a year or two with stratospheric sulphate — Tambora (1815) caused the "year without a summer" of 1816 and Pinatubo (1991) about 0.5 °C of cooling; over millions of years plate tectonics rearranges continents and ocean gateways.
Human impact on global climate now outweighs the natural drivers on the scale of a century. Carbon dioxide has risen from about 280 ppm before industrialisation to over 420 ppm, alongside methane and nitrous oxide; land-use change releases carbon and alters albedo; aerosols from burning partly mask warming by reflecting sunlight; cities add local heat. The IPCC Sixth Assessment Report (Working Group I, 2021) found global surface temperature in 2011–2020 about 1.1 °C above 1850–1900 and called human influence on the warming of the atmosphere, ocean and land unequivocal.
Key takeaways
- Köppen: A (coldest month ≥ 18 °C), B (dry: BW, BS), C (coldest 18 to −3 °C), D (coldest < −3 °C, warmest > 10 °C), E (warmest < 10 °C: ET, EF); f, m, w, s for rainfall season; India runs from Amw and As to Cwg, Dfc and E.
- Thornthwaite 1931 used P-E and T-E indices; 1948 used potential evapotranspiration and a water balance, with Im = (100s − 60d)/PE, simplified in 1955 to Im = 100(s − d)/PE.
- El Niño: weak trades, warm east Pacific, failed Peruvian upwelling, drought in Indonesia and Australia, negative SOI (Tahiti minus Darwin); La Niña is the reverse; Walker found the Southern Oscillation, Bjerknes coupled it to the ocean.
- Cloudburst ≈ 100 mm an hour over 20–30 km²; super cyclonic storm ≥ 222 km/h; storm surge kills most in cyclones; GLOFs such as South Lhonak (2023) grow with glacier retreat.
- Past climate is read from ice cores, δ18O, tree rings and pollen; Milankovitch cycles (100,000 / 41,000 / ~21,000 years), the Sun and volcanoes drove it; today CO2 above 420 ppm and about 1.1 °C of warming are unequivocally human-caused (IPCC AR6).
Practice questions (10)
Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.
In Köppen's scheme, a climate belongs to group A when:
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Answer: A — The mean temperature of every month is 18 °C or more
Group A is defined by temperature: even the coldest month averages at least 18 °C. A warmest month above 22 °C defines the third letter a, and evaporation exceeding precipitation defines group B.Which Köppen type describes most of the Ganga plain?
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Answer: C — Cwg
Cwg means a warm temperate climate with a dry winter and the Ganges-type march of temperature, in which the hottest month comes before the summer rains. Amw is the west coast, BShw the semi-arid north-west and rain-shadow, and Dfc Arunachal Pradesh.The Köppen type As, with a dry summer and rain in winter, is found in India on the:
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Answer: B — Coromandel coast of Tamil Nadu
The Tamil Nadu coast lies in the rain-shadow of the south-west monsoon and receives most of its rain from the north-east monsoon in October–December, so its dry season is summer. The Konkan coast is Amw and the Thar BWhw.Using the Thornthwaite–Mather (1955) moisture index Im = 100(s − d) ÷ PE, find Im for a station with annual water surplus s = 45 cm, water deficit d = 15 cm and potential evapotranspiration PE = 120 cm. Type a number.
Numerical answer — type the value.
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Answer: 25
Im = 100 × (45 − 15) ÷ 120 = 100 × 30 ÷ 120 = 25. A positive index between 20 and 40 places the station in the B1 humid type.The Southern Oscillation Index is based on the difference in sea-level pressure between:
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Answer: A — Tahiti and Darwin
The SOI compares Tahiti in the central Pacific with Darwin in northern Australia; strongly negative values accompany El Niño. The Iceland–Azores pair defines the North Atlantic Oscillation, a different system.Which of the following typically occur during an El Niño event? Select all that apply.
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Answer: A — Indonesia and Australia tend towards drought; C — Upwelling of cold water off Peru weakens; D — Warm surface water spreads into the eastern equatorial Pacific
In El Niño the trades weaken or reverse, so warm water moves east, Peruvian upwelling fails and the rising air and rain shift away from Indonesia and Australia. Stronger trades are a La Niña feature.Assertion (A): Köppen's classification is built on potential evapotranspiration. Reason (R): Thornthwaite's 1948 classification compares precipitation with potential evapotranspiration in a water balance. Choose the correct option.
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Answer: D — A is false, but R is true
A is false: Köppen used mean monthly temperature and precipitation as proxies for vegetation boundaries. R is true — potential evapotranspiration is the innovation of Thornthwaite's 1948 scheme.The India Meteorological Department describes a cloudburst as rainfall of roughly:
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Answer: B — 100 mm or more in an hour over a small area of about 20–30 km²
A cloudburst is defined by extreme intensity over a small area — about 100 mm or more in an hour over roughly 20–30 km² — typically where moist air is forced rapidly up steep mountain slopes.The Maunder Minimum (1645–1715), a period with almost no sunspots, coincided with:
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Answer: C — The Little Ice Age
The Maunder Minimum fell within the Little Ice Age (about 1300–1850), and reduced solar output is one proposed cause of that cooling, alongside volcanic eruptions. The Last Glacial Maximum was about 20,000 years ago.Under the India Meteorological Department's classification, a super cyclonic storm has maximum sustained winds of:
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Answer: D — 222 km/h or more
IMD's top category, the super cyclonic storm, begins at 222 km/h (120 knots). 31–49 km/h is a depression, 62–88 km/h a cyclonic storm and 118–166 km/h a very severe cyclonic storm.