AgriMetSoft · DMAP‑AI demo

AI‑powered drought intelligence for real decisions

DMAP‑AI fuses observations, short‑term forecasts, and NASA POWER downscaled CMIP6 scenarios. If you provide an observation source, we apply bias correction to long‑term projections.

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Built for scientists, farmers, and water managers

SPI with P only. SPEI/PDSI with P + PET. Short‑term (7/30d) and long‑term (CMIP6).

Our story

DMAP started as a practical drought toolkit. DMAP‑AI elevates it: multi‑source fusion, machine learning, and explainability — delivered through a clean, map‑first experience.

  • Why now? Drought dynamics are nonlinear and regional. Static thresholds miss signals.
  • What’s new? AI models learn local patterns and quantify uncertainty across scales.
  • So what? Earlier, explainable warnings for irrigation, rangeland, and policy actions.

1) Choose mode

Historical analysis or Prediction (7d, 30d, or long‑term CMIP6).

2) Pick an area

Point or rectangle (SW↔NE bounds). Draw on the map; we capture coordinates.

3) Select sources

ERA5 / PRISM / GridMET / GPM for obs; ECMWF/GFS for short‑term; NASA POWER CMIP6 for long‑term. Optional bias correction.

Get Started →