Python framework for short-term ensemble prediction systems.
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Updated
Sep 30, 2025 - Python
Python framework for short-term ensemble prediction systems.
ESPHome version of Elektor weather station v2
Python code for T-matrix scattering calculations
The Intermediate Complexity Atmospheric Research model (ICAR)
A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
Code accompanying our IARAI Weather4cast Challenge
Heavy rainfall intensity as a function of duration and return period is defined according to DWA-A 531 (2012). This program reads rainfall measurement data and calculates the distribution of design rainfall as a function of both return period and duration, for durations up to 12 hours (and beyond) and return periods in the range 0.5 a ≤ Tₙ ≤ 100 a.
Hydrological Data Discovery Tools (R package for hydrology and open data)
python package to open GPM-DPR files into xarray to leverage xarray perks
A python package to simulate precipitation and diffusion behavior using Calphad
spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation
EASYMORE; EArth SYstem MOdeling REmapper
Merging of Satellite Datasets with Ground Observations using Random Forests
Python package for automated detection and tracking of mesoscale convective systems
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Analyzing NYC's Stormwater Flood Map - Extreme Flood Scenario
Simple Python script to download historical meteorological data records from 1981 to today for any place on Earth from Nasa Power: https://power.larc.nasa.gov/data-access-viewer/
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
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