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 rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_n <= 100a'

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

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/

Research all papers and codes related to weather forecasting based on artificial intelligence methods, including but not limited to deep learning, generative adversarial, multimodal and other strong artificial intelligence

Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.

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