VayuMet · District Climatology

Data Visualisation Catalogue

Every chart the climatology engine draws, one worked example for a single station, and the warming trend read region by region.

1

The chart catalogue

Each district opens a two-tab report. The Climatological Normal tab describes the 1991–2020 average year; the Climate Change tab shows how the district has shifted since 1951. Below is every visualisation in both tabs.

Tab A Climatological Normal — the average year (1991–2020)

ChartWhat it showsTypeVariablesSource
a · Average temperatures & precipitation The classic “climate diagram”: monthly mean daily max/min, the hottest day & coldest night of each month, and rainfall bars. line + bar
(dual axis)
tmax, tmin, hot-day, cold-night, precip_mm NOAA PSL daily climatology
b · Daily climatology Day-by-day normals across all 365 days — the smooth seasonal march of temperature and rainfall. line + bar daily tmax, tmin, precip NOAA PSL daily climatology
c · Cloudy, sunny & precipitation days Days per month that are sunny / partly cloudy / overcast, with a line for actual rain-days. stacked bar + line sunny, partly, overcast, precip_days NCEP cloud est. · IMD rain-days
d · Maximum temperatures How many days per month reach each daytime-heat band — the tail that heatwaves live in. stacked bar (bins) tmax day-count bins IMD daily 1951–2025
e · Minimum temperatures How many nights per month fall into each cold band — frost risk and warm-night frequency. stacked bar (bins) tmin night-count bins IMD daily 1951–2025
f · Precipitation amounts How many days per month deliver each daily-rainfall band, from drizzle to extreme. stacked bar (bins) daily-rain amount bins IMD daily 1951–2025
g · Wind speed Days per month the 10 m wind reaches each speed band. stacked bar (bins) 10 m wind-speed bins NCEP-2 10 m daily 1996–2025
h · Wind rose Hours per year the wind blows from each of 16 directions, split by speed band. polar (canvas) direction × speed hours NCEP-2 10 m daily

Tab B Climate Change — the shift since 1951

ChartWhat it showsTypeVariablesSource
i · Yearly temperature change Mean annual temperature 1951–2025 with a fitted linear trend — the district’s warming line. line + trend temp_yr, temp_fit, trend °C/dec IMD 1° temp (rebased)
j · Warming stripes One stripe per year — blue below, red above the 1991–2020 mean. The famous climate barcode. diverging bars annual temp anomaly IMD 1° temp (rebased)
k · Yearly precipitation change Total annual rainfall 1951–2025 with linear trend — wetter or drier over time. line + trend precip_yr, precip_fit, trend mm/dec IMD 0.25° rainfall
l · Precipitation stripes One stripe per year — brown drier, green wetter than the 1991–2020 mean. diverging bars annual precip anomaly IMD 0.25° rainfall
m · Monthly temperature anomalies Every single month since the record start vs its own baseline — warm months red, cool blue. anomaly bars monthly temp anomaly IMD 1° temp (rebased)
n · Monthly precipitation anomalies Every month since the record start vs baseline — wet months green, dry brown. anomaly bars monthly precip anomaly IMD 0.25° rainfall
o · Anomaly by month (interactive) Pick a calendar month (e.g. July) and see its temperature & rainfall anomaly for every year — which monsoons ran hot or dry. 2 × bars + selector chosen-month temp & precip anomaly IMD temp & rainfall
2

One station, worked through

The catalogue above, rendered for real. Below is Pune, Maharashtra — a Deccan-plateau district with a sharp monsoon and a moderate warming trend — drawn by the same engine the live map uses. Switch tabs to move between its average year and its change since 1951.

Pune Maharashtra · 18.57°N 74.07°E Annual rain 862 mm Warmest max 37.4 °C Warming +0.08 °C/dec
Loading Pune charts…

Prefer another district? Every one of the 755 is live on the interactive map with this same report.

3

Region-wise warming trends

District warming rates (1951–2025) aggregated into broad regions. The rainfall column shows the parallel trend in annual totals. Warming is universal but far from uniform — the coasts and the south run several times hotter than the Indo-Gangetic Plain.

RegionDistricts Warming °C/decvs national Rain mm/decSignature
Deep South ≤15°N 86+0.1271.8×+16Kerala & Tamil Nadu coast — fastest warming
Northeast hills 122+0.1041.4×−5Steep terrain; rainfall trends noisy
Arid Northwest 62+0.1001.4×+19Gujarat & Rajasthan — dry-land amplification
Peninsular 15–21°N 135+0.0731.0×+15The Deccan interior — near the national mean
North / Himalayan ≥28°N 59+0.0550.8×−3Coarse grid under-resolves mountain terrain
Central India 112+0.0510.7×−1Madhya Pradesh & Chhattisgarh core
Indo-Gangetic Plain 179+0.0300.4×−20The “warming hole” — drying & barely warming
All India district-mean 755+0.0721.0×±0751 of 755 districts warming
Warming scale —cool → 0 → warm

“vs national” is each region’s rate divided by the all-India district-mean (+0.072 °C/dec). Full method and attribution to human drivers — Indian Ocean warming, aerosols and irrigation — in the warming-trends research note.