Skip to main content

Download, extract, average, plot, and analyze NASA GPM IMERG precipitation data from Python or a local web UI.

Project description

imergpy

imergpy is a Python package and local web interface for downloading NASA GPM IMERG precipitation data through NASA Earthdata/GES DISC. It can extract point rainfall time series and compute grid-cell average rainfall for selected countries or square areas.

Quick Start

Install and open:

pip install imergpy
imergpy

Your browser should open automatically. Enter your NASA Earthdata username/password in the local page and choose a point, country, or square area.

Features

  • Local web UI launched with the imergpy command
  • Python API for scripted workflows
  • Point, country, and square-area selection in the web map
  • Grid-cell average precipitation for country and square-area selections
  • Half-hourly, daily, and monthly IMERG products
  • Early, Late, and Final IMERG run types where available
  • Excel export with separate Start Time and End Time columns
  • Basic rainfall plotting and statistics utilities

Web UI

imergpy

If the command is not available on Windows:

python -m imergpy.cli

If port 5000 is busy:

$env:IMERGPY_PORT = "5001"
python -m imergpy.cli

Python API Example

import os
import imergpy

excel_path, records = imergpy.get_precipitation(
    lat=6.9271,
    lon=79.8612,
    start_datetime="2025-01",
    end_datetime="2025-01",
    username=os.environ["EARTHDATA_USERNAME"],
    password=os.environ["EARTHDATA_PASSWORD"],
    run_type="final",
    freq="monthly",
    interp_method="nearest",
)

print(excel_path)

Accepted date formats:

  • YYYY-MM
  • YYYY-MM-DD
  • YYYY-MM-DD HH:MM

NASA Earthdata Credentials

You need a free NASA Earthdata account. After creating the account, authorize GES DISC under Earthdata authorized applications.

Do not write credentials into scripts. Use environment variables:

$env:EARTHDATA_USERNAME = "your_username"
$env:EARTHDATA_PASSWORD = "your_password"

Legal And Data Use Notice

imergpy is an independent open-source tool. It is not developed, endorsed, or certified by NASA, GES DISC, or the GPM mission team.

Users are responsible for:

  • creating and using their own NASA Earthdata account,
  • accepting and following NASA/GES DISC data access terms,
  • citing NASA GPM IMERG data correctly in reports, papers, and products,
  • checking data quality, latency, and suitability before operational or scientific use,
  • keeping Earthdata usernames, passwords, and tokens private.

This software is provided under the MIT License without warranty.

Development

For local development:

git clone https://github.com/LakshithaSenavirathna/imergpy.git
cd imergpy
pip install -e ".[dev]"

Run tests:

pytest

Build package files:

python -m build

Publishing instructions are in PUBLISHING.md.

License

MIT License. Developed by Lakshitha S. Senavirathna.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imergpy-1.1.1.tar.gz (168.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

imergpy-1.1.1-py3-none-any.whl (163.8 kB view details)

Uploaded Python 3

File details

Details for the file imergpy-1.1.1.tar.gz.

File metadata

  • Download URL: imergpy-1.1.1.tar.gz
  • Upload date:
  • Size: 168.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for imergpy-1.1.1.tar.gz
Algorithm Hash digest
SHA256 2375fc420a8f6e26f5053babdff2999e7479e75a770a295e066e3d762387adfe
MD5 2eafcacffcdc01ba8463c593ee0e5292
BLAKE2b-256 1fc6b92386f75b1475b4329bce0ad15f1392af96d1ddb50a464a9c590d23d39e

See more details on using hashes here.

File details

Details for the file imergpy-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: imergpy-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 163.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for imergpy-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5b24cd76d76606a97ac682454c5e0609cce8f66a17b03ccee6b0e2c678a35feb
MD5 384c94657dccbb1dd2de8139f97e82b0
BLAKE2b-256 a2cfa78332314f266091cea591f2f51216bedcf556312e86f43cf53d813dd61a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page