Python framework for short-term ensemble prediction systems.
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.
An HA integration providing weather forecast, observations, precipitation (e.g. rain) radar, rain nowcast graph and warnings in The Netherlands using KNMI 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.
spateGAN-ERA5: deep learning based spatio-temporal downscaling of ERA5 precipitation
A python package to simulate precipitation and diffusion behavior using Calphad
python package to open GPM-DPR files into xarray to leverage xarray perks
Python package for automated detection and tracking of mesoscale convective systems
An open-source python software for standardized processing, sharing, and analysis of disdrometer data
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
EASYMORE; EArth SYstem MOdeling REmapper
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/
This project is a QGIS plugin that brings precipitation data from German Meteorological Service (DWD) - radar data in RADOLAN/RADKLIM binary format as well as REGNIE - on a map
Precipitation Processing Tools (PPTs) it's an open source code developed by Vinícius Vieira Mesquita to download and process satellite precipitation data from NASA Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM)
Radproc - RADOLAN composite processing, analysis and data exchange with ArcGIS
Large Scale Precipitation Tracking (LPT). Kerns and Chen (2020, JGR Atmospheres).
A deep convolutional neural network for surface precipitation retrievals
Reconstructed GRU, used to process the graph sequence.
Examples of surface precipitation phase discrimination using open data meteorological observations.
Add a description, image, and links to the precipitation topic page so that developers can more easily learn about it.
To associate your repository with the precipitation topic, visit your repo's landing page and select "manage topics."