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Precipitation Python Packages

Python packages with the GitHub topic precipitation. Sorted by relevance, with stars and monthly downloads.
pySTEPS
pysteps

Python framework for short-term ensemble prediction systems.

15K 568 187
ShervanGharari
easymore

EASYMORE; EArth SYstem MOdeling REmapper

6K 26 23
NERC-CEH
rainfallqc

Quality control methods for rainfall data, based on polars

2K 1 1
ltelab
disdrodb

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

2K 27 14
timcera
mettoolbox

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

2K 6 1
MarkusPic
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.

1K 51 16
MarkusPic
ehyd-tools

Reading and analyzing hydro(geo)logic time series from the Austrian government's "ehyd.gv.at" platform.

949 9 4
ghiggi
gpm-api

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

905 76 12
jleinonen
pytmatrix

Python code for T-matrix scattering calculations

628 127 50
stoffis-git
world-rainfall-data

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

510 0 0
montimaj
pycropwat

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

470 6 1
mshumko
sampex

Easily download and load the SAMPEX data.

443 1 0
SINApSE-INPE
ainpp-pb-latam

The Artificial Intelligence for Nowcasting Pilot Project - Precipitation Benchmark for Latin America (AINPP-PB-LATAM).

399 1 0
adamzhen
climateservaccess

A custom library for accessing the ClimateSERV API

255 2 0
jkreklow
radproc

Library for RADOLAN composite processing, analysis and data exchange with ArcGIS.

202 11 7
Dan-Boat
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.

161 60 11
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