About MausamNow
Free weather intelligence for India. Compares 5 forecast models, analyzes live IMD radar, tracks storms via satellite, and monitors air quality from ground stations.
"Will it rain in the next 2 hours?" — We combine five sources every 10 minutes: IMD radar (what's happening now), INSAT-3DS satellite (clouds building up), and 119 ensemble model runs across GFS, ECMWF and ICON. When radar, satellite and models agree, the answer is reliable. When they disagree, you'll see that too.
"What does the week look like?" — We compare forecasts from 5 different weather models. When 3 or more agree, confidence is high. When they disagree, we show you.
Every forecast on MausamNow shows a confidence level. Here's what each means:
For daily forecasts: Day 0–1 is typically high confidence (many data sources), Day 2–3 medium, and Day 4+ low. Indian models (MausamGram, MOSDAC) boost confidence for their coverage area.
No forecast is 100% certain. Confidence shows how much agreement exists between independent sources. High confidence can still be wrong, and low confidence doesn't mean it's wrong — just less certain.
Radar & Satellite
| Source | What it provides |
|---|---|
| IMD Doppler Radar | Live rain detection from 38 stations, storm tracking, intensity mapping |
| INSAT-3DS Satellite (ISRO) | India's primary weather satellite — cloud state, IR imagery |
| INSAT-3DR Satellite (ISRO) | India's second geostationary satellite — complementary coverage |
| Himawari-9 (Japan) | Best for eastern India — cloud development, early storm detection |
| Meteosat-9 IODC (EUMETSAT) | Best viewing angle for western India coast |
IMD Official Data
| IMD Official API | Nowcasts, district warnings (17 hazard types), 7-day city forecasts, 1,185 AWS/ARG stations (temperature, humidity, wind, pressure, observed rainfall) |
| IMD MausamGram | India-specific multi-model ensemble forecast |
ISRO / MOSDAC
| MOSDAC / ISRO | NWP rain forecast, satellite-derived products (cloud mask, rainfall estimation) |
Ground Stations & Airports
| WeatherUnion (Zomato) | Ground station rain measurement — actual rainfall at your location |
| CPCB Ground Stations | Air quality (PM2.5, PM10, NO₂, AQI) from real monitoring stations |
| Airport Weather Reports (METAR) | Observer-confirmed weather from 65+ Indian airports every 30 minutes — rain, thunderstorms and storm clouds verified by trained weather observers (via NOAA Aviation Weather Center & AMSS Delhi) |
Stations Page (all-India browse)
| Live rain (IMD AWS) | Near-real-time rain, temperature and wind from about 1,200 automatic stations, updated every 30 to 60 minutes |
| Daily rainfall (IMD & RMC) | Official 24-hour totals (8:30 am to 8:30 am) from IMD manual observatories and RMC bulletins, including hill and ghat gauges |
| Air quality (CPCB) | Live National AQI (India's own NAQI method) from about 500 CPCB ground stations, hourly |
| Dam levels | Reservoir storage vs capacity and vs last year. Maharashtra WRD and Goa WRD daily; Central Water Commission weekly for other states |
Satellite Rainfall
| Global Rainfall Watch (GSMaP) (JAXA, Japan) | Real-time satellite rainfall for all of India, updated every 30 minutes — covers areas beyond radar range (Northeast, rural regions) |
Global Forecast Models
| GFS (NOAA, USA) | Global forecast model, 16-day range |
| ECMWF IFS (Europe) | Most accurate global model, 15-day range |
| ECMWF AI (AIFS) | AI weather model, 15-day range |
| ICON (DWD, Germany) | High-resolution global model, 8-day range |
Global forecasts via Open-Meteo.com (CC BY 4.0). Satellite rainfall from Global Rainfall Watch (GSMaP) by JAXA. Airport observations via NOAA Aviation Weather Center. Lightning forecast layers from IMD WebGIS. All other data from freely available government and public APIs.
Radar (now): Reliable for rain detection and general intensity. We read published radar images, not raw reflectivity, so exact mm/hr values are approximate.
Forecasts (next 24h): Generally reliable when 2+ models agree. Indian models (MausamGram, MOSDAC) tend to be better for short-range.
Forecasts (2–5 days): Useful for planning. Confidence decreases with time.
Forecasts (5–16 days): General trends only. Not reliable for specific plans.
Thunderstorm prediction: Conditions-based, not guaranteed. High risk means conditions strongly favor storms.
Air quality: CPCB ground station readings are real measurements. More accurate than model estimates.
Radar coverage: IMD's 38 stations don't cover all of India. Some rural areas may be outside range.
Data freshness: Radar 10–40 min old. Satellite updates every 10 min. Models run every 1–12 hours.
Multi-model comparison: MausamNow fetches forecasts from 6 weather models (GFS, ECMWF, ECMWF AI, ICON, MausamGram, MOSDAC) and shows where they agree and disagree. No single model is always right — comparing them gives a better picture.
Rain windows: When the expanded daily card shows "4–7 PM: Likely, 4/6 models agree", it means 4 out of 6 models predict rain during that window. The more models agree, the more confident the forecast.
Tip badges: ☂️ = rain likely, ⚡ = storm risk (CAPE > 1500 J/kg), 💨 = strong gusts (50+ km/h), 🥵 = extreme heat (40°C+). These are computed from hourly model data for each day.
Expert mode: Shows raw output from each model side-by-side. Useful for weather enthusiasts and for understanding why models disagree on a particular day.
Get the app
Same forecasts as the website, with your GPS location and one-tap sharing.
App Store · coming soon
Not affiliated with IMD, ISRO, or any government body. Independent, non-commercial project. For informational use only — always check official IMD warnings for severe weather.
Data attribution: Radar imagery, weather warnings, nowcasts, city forecasts, NWP meteograms, and 1,185 AWS/ARG station observations from India Meteorological Department (IMD) via api.imd.gov.in. Forecast data from IMD MausamGram. NWP rain forecast and satellite-derived products from MOSDAC / ISRO. Satellite imagery from ISRO (INSAT-3DS, INSAT-3DR), JMA Himawari-9 via SSEC RealEarth, and EUMETSAT Meteosat-9 IODC.
Global forecasts (GFS, ECMWF, ECMWF AI), ensemble probabilities, and current conditions by Open-Meteo.com (CC BY 4.0). Air quality from Central Pollution Control Board via data.gov.in (OGDL). Ground station rainfall from WeatherUnion (Zomato).
Indian government data used under the Open Government Data License (OGDL) which permits free use, sharing, and adaptation with attribution.