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

Hydrological Data Discovery Tools (R package for hydrology and open data)

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.

python package to open GPM-DPR files into xarray to leverage xarray perks

A python package to simulate precipitation and diffusion behavior using Calphad

EASYMORE; EArth SYstem MOdeling REmapper

Merging of Satellite Datasets with Ground Observations using Random Forests

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation

Python package for automated detection and tracking of cumulus clouds from satellite data

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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