Precipitation Python Packages

pysteps

Python framework for short-term ensemble prediction systems.

disdrodb

An open-source python software for standardized processing, sharing, and analysis of disdrometer data

rainfallqc

Quality control methods for rainfall data, based on polars

easymore

EASYMORE; EArth SYstem MOdeling REmapper

idf-analysis

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.

pytmatrix

Python code for T-matrix scattering calculations

gpm-api

A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive

ehyd-tools

Various tools for exporting and analyzing hydro(geo)logic time-series from the ehyd.gv.at platform of the Austian government.

mettoolbox

Command line script and Python package for working with meteorological time-series data.

nowcast-bench

Evaluation framework for precipitation nowcasting: radar extrapolation, NWP, and blends

pycropwat

A Python Package for Computing Effective Precipitation Using Google Earth Engine Climate Data.

sampex

Easily download and load the SAMPEX data.

ainpp-pb-latam

AINPP Precipitation Benchmark for Latin America.

climateservaccess

Custom library to access data through ClimateSERV API

radproc

Radproc - RADOLAN composite processing, analysis and data exchange with ArcGIS

pyesd

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.

world-rainfall-data

Mean annual precipitation for 270 cities (CC-BY-4.0), from CHELSA v2.1 + GHCN-M. Data by georank.place.