ECMWF Weather Intelligence Dashboard
Climate & Weather Intelligence
Open domain overviewSection / ECMWF Weather Intelligence Dashboard
Madhya Pradesh rainfall, temperature, wind, soil moisture, ET, and anomaly intelligence
Explore a map-based ECMWF IFS 9 km historical-weather demo with ESRI basemaps, district points, time ranges, weather variables, and analytical charts.
Recommended Algorithms
Hourly/daily/monthly time-series aggregation
Anomaly and percentile detection
Heatwave/rainfall extreme thresholds
Trend and seasonal decomposition
District/town administrative filtering
Data APIs & Inputs
ECMWF/IFS-style weather feeds
Open-Meteo style weather APIs
IMD-style NetCDF repositories
CHIRPS/GPM rainfall
Administrative boundaries
Loading ECMWF IFS weather intelligence for Madhya Pradesh...
Total Rainfalln/a
Mean Temperaturen/a
Peak Windn/a
Soil Moisturen/a
Total ETn/a
Anomalyn/a
Select a weather variable to render map intensity.
| District Point | Region | Rainfall | Temperature | Wind | Soil Moisture | ET | Anomaly |
|---|---|---|---|---|---|---|---|
| Loading weather intelligence... | |||||||
ECMWF IFS 9 km
Historical-weather style variables are generated with ECMWF IFS-compatible daily fields.
Rainfall, temperature, wind, soil moisture, ET, and anomaly indicators.ESRI Map Analytics
District points are rendered on an ESRI basemap with variable-specific intensity styling and popups.
Ready for ArcGIS FeatureLayer, ImageryLayer, TimeSlider, and raster analysis integration.AOI Analytics Path
Next production step can aggregate gridded weather by district, watershed, city, or user-drawn AOI.
Zonal statistics, anomaly scoring, suitability, and climate-risk ranking.