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FreeAcademicUnited States, Global

APDRC GPCP Merged Daily Precipitation v1.1

APDRC distribution of the GPCP (Global Precipitation Climatology Project) merged 1-degree daily precipitation analysis, with OPeNDAP and LAS access for global daily rainfall.

apdrc.soest.hawaii.edu

At a glance

Region
United States (Global)
Coverage
1996-present, 1 degree daily
Access
Free
Category
Academic
Last updated
2025

What's inside

  • Precipitation
  • Satellite-gauge merged

Terms explained

What you can do with it

Typical work that data of this type supports.

  1. 01

    Design storms

    Build rainfall intensity-duration-frequency curves for drainage design.

    Because it has: Precipitation

  2. 02

    Model input

    Drive hydrological, crop and urban drainage models.

  3. 03

    Design flows

    Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.

    Because it has: Satellite-gauge merged

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Downscaling

    Turn coarse rainfall grids into field or ward scale estimates.

  2. 02

    Gauge + satellite fusion

    Correct satellite rainfall with gauges using machine learning.

  3. 03

    Flow forecasting

    Train LSTM-style models on past records to forecast river levels and flow days ahead.

Machine access and documentation

Open API

OPeNDAP/LAS on apdrc.soest.hawaii.edu

Licence: Open data

Listed in our registry of open water APIs, which WaterDataGPT can query live.

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