Evidence for understanding changing temperatures, rainfall, hazards and long-term resilience.
ERA5 Historical
CMIP6 / HighResMIP Future to 2049
Spatial Local reference points
Data integrity: This is an original J&K-focused dashboard informed by the World Bank CCKP structure. Charts are generated from Open-Meteo / ERA5 reanalysis and HighResMIP climate model data for selected coordinates — not World Bank J&K area-aggregated statistics or reproduced CCKP charts. Read scope and limitations ↓
01 / SELECT YOUR RESEARCH VIEW
Climate explorer.
HISTORICAL / REANALYSIS
Observed-era climate variability.
ERA5 · Point-grid
PERIOD MEAN—
FIRST 10 YEARS—
LAST 10 YEARS—
LINEAR TREND / DECADE—
ANNUAL EVOLUTION
Historical time series
Load historical data to draw the annual chart.
SEASONAL CHARACTER
12-month climatology
No data loaded.
MONTHLY VARIABILITY
Temperature/rainfall anomalies
No data loaded.
FUTURE / HIGHRESMIP
Modelled change to 2049.
Model · One location
Daily downscaled climate model output. Compare 2031–2040 and 2041–2049 against a 1995–2014 model baseline. This source ends in 2049 and does not offer separate SSP pathways.
MODEL BASELINE—
2031–2040—
2041–2049—
LATE PERIOD CHANGE—
CLIMATE PROJECTION
Modelled annual time series · 1995–2049
Open the Future tab and click “Load future data”.
PERIOD COMPARISON
Baseline versus near- and mid-century
No model results loaded.
Need SSP1-2.6, SSP2-4.5 and SSP5-8.5 to 2100?
The World Bank CCKP publishes 0.25° CMIP6 gridded products and scenario-based analyses. A defensible J&K regional aggregate requires an explicit boundary and gridded-area weighting; India-wide summaries must not be used as J&K values.
Indicators are calculated transparently from daily ERA5 near selected locations. They describe climatological conditions — they are not flood maps, landslide risk models, glacier-loss forecasts or vulnerability assessments.
EXTREME RAINFALL
Days with ≥20 mm precipitation
—Load historical data to calculate a climate indicator.
No historical data yet.
ORIGINAL WORLD BANK DEEP DIVES
Go beyond the indicators.
World Bank analyses on alpine glacier projections, compounded heat, extreme precipitation and trends provide broader context. Results shown on India pages are not automatically specific to J&K.
Each point is a settlement reference. Select one to update the data charts; values describe the nearest model grid cell and should not be interpreted as a district-wide climate surface.
Interactive map loading. If unavailable, use the location selector above.
03 / METHODS & REFERENCE DATA
What the evidence can — and cannot — say.
Data provenance, geographic precision, model uncertainty and limitations are disclosed so this can be used responsibly in academic and policy discussions.
HISTORICAL · ERA5
Reanalysis is not a station record.
The historical explorer uses daily gridded ERA5 obtained through Open-Meteo. Annual temperature is the mean of daily 2 m temperatures; rainfall is the sum of daily precipitation. Baseline anomalies are computed from the selected period when 1991–2020 observations are present, otherwise against the available year-specific monthly climatology.
FUTURE · HIGHRESMIP
Models are conditional simulations.
Future results are for a single selected HighResMIP model, downscaled to a point by Open-Meteo. The API covers 1950–2049; it cannot supply World Bank SSP trajectories to 2100. Period deltas are model-to-model-period comparisons, not changes between observed and model data.
REGIONAL SCALE
Points are not district means.
The present dashboard focuses on locations in Jammu & Kashmir UT and deliberately excludes Ladakh. It does not provide polygon-weighted regional averages, catchment climate statistics or district maps. The World Bank's published ADM1 aggregations and administrative vintages require separate verification before use as J&K statistics.
SOURCE CREDIT
World Bank / Copernicus / Open-Meteo.
Inspired by the World Bank's Climate Change Knowledge Portal, but independently implemented. World Bank CCKP data and documentation are available under applicable open data terms; original CCKP charts, maps and branding are not embedded or represented as locally calculated outputs.