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{
"CMF": {
"description": "Catchment Modelling Framework, a hydrologic modelling toolbox.",
"url": "https://github.com/philippkraft/cmf",
"category": "Catchment Hydrology",
"docs": "https://philippkraft.github.io/cmf/",
"CI": 0,
"last_update": "2024-01-19T16:42:28",
"pypi": "https://pypi.org/project/CMF/",
"doi_software": "",
"doi_paper": "https://doi.org/10.1016/j.envsoft.2010.12.009",
"conda": "",
"version": "2.0.0",
"legacy": ""
},
"VIC": {
"description": "The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model.",
"url": "https://github.com/UW-Hydro/VIC",
"category": "Catchment Hydrology",
"docs": "http://vic.readthedocs.io",
"CI": 0,
"last_update": "2016-06-18T22:49:24",
"pypi": "https://pypi.org/project/VIC/",
"doi_software": "https://zenodo.org/doi/10.5281/zenodo.593392",
"doi_paper": "http://dx.doi.org/10.1029/94jd00483",
"conda": "https://anaconda.org/conda-forge/VIC",
"version": "0.0.1",
"legacy": ""
},
"Xanthos": {
"description": "Xanthos is an open-source hydrologic model, written in Python, designed to quantify and analyze global water availability.",
"url": "https://github.com/JGCRI/xanthos",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "2021-08-10T20:55:25",
"pypi": "https://pypi.org/project/Xanthos/",
"doi_software": "https://zenodo.org/badge/latestdoi/88797535",
"doi_paper": "",
"conda": "",
"version": "2.4.1",
"legacy": ""
},
"wrfhydropy": {
"description": "wrfhydrpy is a Python API for the WRF-Hydro modelling system.",
"url": "https://github.com/NCAR/wrf_hydro_py",
"category": "Catchment Hydrology",
"docs": "https://wrfhydropy.readthedocs.io/",
"CI": 0,
"last_update": "2024-02-16T21:26:27",
"pypi": "https://pypi.org/project/wrfhydropy/",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "0.0.21",
"legacy": ""
},
"EXP-HYDRO": {
"description": "EXP-HYDRO is a catchment scale hydrological model that operates at a daily time-step. It takes as inputs the daily values of precipitation, air temperature, and potential evapotranspiration, and simulates daily streamflow at the catchment outlet.",
"url": "https://github.com/sopanpatil/exp-hydro",
"category": "Catchment Hydrology",
"docs": "https://sopanpatil.github.io/exp-hydro/",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "https://doi.org/10.1002/hyp.11199",
"conda": "",
"version": "",
"legacy": 1
},
"RRMPG": {
"description": "Rainfall-Runoff modelling playground.",
"url": "https://github.com/kratzert/RRMPG",
"category": "Catchment Hydrology",
"docs": "http://rrmpg.readthedocs.io/en/latest/index.html",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "",
"legacy": 1
},
"LHMP": {
"description": "Lumped Hydrological Models Playground.",
"url": "https://github.com/hydrogo/LHMP",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "",
"legacy": 1
},
"SMARTPy": {
"description": "Python implementation of the rainfall-runoff model SMART",
"url": "https://github.com/ThibHlln/smartpy",
"category": "Catchment Hydrology",
"docs": "https://thibhlln.github.io/smartpy",
"CI": 0,
"last_update": "2022-02-14T16:18:21",
"pypi": "https://pypi.org/project/SMARTPy/",
"doi_software": "https://zenodo.org/badge/latestdoi/118467753",
"doi_paper": "",
"conda": "",
"version": "0.2.2",
"legacy": ""
},
"PyStream": {
"description": "Python implementation of the STREAM hydrological rainfall-runoff model.",
"url": "https://github.com/martibosch/pystream",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "2015-06-18T14:58:50",
"pypi": "https://pypi.org/project/PyStream/",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "0.1",
"legacy": 1
},
"HydPy": {
"description": "A framework for the development and application of hydrological models based on Python.",
"url": "https://github.com/hydpy-dev/hydpy",
"category": "Catchment Hydrology",
"docs": "https://hydpy-dev.github.io/hydpy",
"CI": 1,
"last_update": "2024-09-23T21:02:25",
"pypi": "https://pypi.org/project/HydPy/",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "6.1.1",
"legacy": ""
},
"Catchmod": {
"description": "CATCHMOD is widely used rainfall runoff model in the United Kingdom. It was introduced by Wilby (1994).",
"url": "https://pypi.org/project/pycatchmod/",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "2019-01-08T20:58:42",
"pypi": "https://pypi.org/project/pycatchmod/",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "1.1.0",
"legacy": 1
},
"wflow": {
"description": "wflow consists of a set of Python programs that can be run on the command line and perform hydrological simulations. The models are based on the PCRaster Python framework",
"url": "https://github.com/openstreams/wflow",
"category": "Catchment Hydrology",
"docs": "https://wflow.readthedocs.io",
"CI": 0,
"last_update": "2020-11-26T09:32:03",
"pypi": "https://pypi.org/project/wflow/",
"doi_software": "",
"doi_paper": "",
"conda": "https://anaconda.org/conda-forge/wflow",
"version": "2020.1.2",
"legacy": 1
},
"PyTOPKAPI": {
"description": "PyTOPKAPI is a BSD licensed Python library implementing the TOPKAPI Hydrological model (Liu and Todini, 2002).",
"url": "https://github.com/sahg/PyTOPKAPI",
"category": "Catchment Hydrology",
"docs": "http://sahg.github.io/PyTOPKAPI/",
"CI": 0,
"last_update": "",
"pypi": "https://pypi.org/project/PyTOPKAPI/",
"doi_software": "https://zenodo.org/badge/latestdoi/689231",
"doi_paper": "http://dx.doi.org/10.5194/hess-14-613-2010",
"conda": "",
"version": "",
"legacy": ""
},
"mhmpy": {
"description": "A Python-API for the mesoscale Hydrological Model.",
"url": "https://github.com/MuellerSeb/mhmpy",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "2019-08-26T13:08:06",
"pypi": "https://pypi.org/project/mhmpy/",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "0.0.0",
"legacy": 1
},
"SuperflexPy": {
"description": "SuperflexPy: A new open source framework for building conceptual hydrological models",
"url": "https://github.com/dalmo1991/superflexPy",
"category": "Catchment Hydrology",
"docs": "https://superflexpy.readthedocs.io",
"CI": 0,
"last_update": "2023-11-25T09:33:47",
"pypi": "https://pypi.org/project/SuperflexPy/",
"doi_software": "https://zenodo.org/badge/latestdoi/208847505",
"doi_paper": "https://doi.org/10.5194/gmd-14-7047-2021",
"conda": "",
"version": "1.3.2",
"legacy": ""
},
"NeuralHydrology": {
"description": "Python library to train neural networks with a strong focus on hydrological applications.",
"url": "https://github.com/neuralhydrology/neuralhydrology",
"category": "Catchment Hydrology",
"docs": "https://neuralhydrology.readthedocs.io/",
"CI": 1,
"last_update": "2024-08-02T13:13:35",
"pypi": "https://pypi.org/project/NeuralHydrology/",
"doi_software": "",
"doi_paper": "https://doi.org/10.21105/joss.04050",
"conda": "",
"version": "1.11.0",
"legacy": 0
},
"DRYP": {
"description": "Dryland Water Partition model.",
"url": "https://github.com/AndresQuichimbo/DRYP",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "",
"legacy": 1
},
"LuKars": {
"description": "The LuKARS model is a lumped karst hydrological model to perform studies in karstic environments.",
"url": "https://github.com/dbittner87/LuKARS",
"category": "Catchment Hydrology",
"docs": "",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "",
"legacy": 1
},
"Gravi4GW": {
"description": "A tool for conversion between \u0394g and groundwater storage changes.",
"url": "https://github.com/lhalloran/Gravi4GW",
"category": "Groundwater",
"docs": "",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "https://doi.org/10.1016/j.envsoft.2022.105340",
"conda": "",
"version": "",
"legacy": 0
},
"SUMMA": {
"description": "A hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques.",
"url": "https://github.com/CH-Earth/summa",
"category": "Catchment Hydrology",
"docs": "http://summa.readthedocs.io/",
"CI": 0,
"last_update": "2019-01-16T22:12:13",
"pypi": "https://pypi.org/project/SUMMA/",
"doi_software": "https://doi.org/10.5281/zenodo.800772",
"doi_paper": "http://dx.doi.org/10.1002/2015WR017198",
"conda": "https://anaconda.org/conda-forge/SUMMA",
"version": "1.2.0",
"legacy": ""
},
"MetPy": {
"description": "MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.",
"url": "https://github.com/Unidata/MetPy",
"category": "Meteorological tools",
"docs": "https://unidata.github.io/MetPy/",
"CI": 1,
"last_update": "2024-08-26T23:14:35",
"pypi": "https://pypi.org/project/MetPy/",
"doi_software": "",
"doi_paper": "",
"conda": "https://anaconda.org/conda-forge/MetPy",
"version": "1.6.3",
"legacy": 0
},
"PyEto": {
"description": "PyETo is a Python library for calculating reference crop evapotranspiration (ETo), sometimes referred to as potential evapotranspiration (PET). The library provides numerous functions for estimating missing meteorological data.",
"url": "https://github.com/woodcrafty/PyETo",
"category": "Meteorological tools",
"docs": "https://pyeto.readthedocs.io",
"CI": 0,
"last_update": "",
"pypi": "",
"doi_software": "",
"doi_paper": "",
"conda": "",
"version": "",
"legacy": 1
},
"pyfao56": {
"description": "A Python implementation of the FAO-56 dual crop coefficient approach for crop water use estimation and irrigation scheduling.",
"url": "https://github.com/kthorp/pyfao56",
"category": "Meteorological tools",
"docs": "",
"CI": 0,
"last_update": "2024-03-21T18:11:40",
"pypi": "https://pypi.org/project/pyfao56/",
"doi_software": "",
"doi_paper": "https://doi.org/10.1016/j.softx.2023.101518",
"conda": "https://anaconda.org/conda-forge/pyfao56",
"version": "1.3.0",
"legacy": ""
},
"Improver": {
"description": "IMPROVER is a library of algorithms for meteorological post-processing and verification.",
"url": "https://github.com/metoppv/improver",
"category": "Meteorological tools",
"docs": "http://improver.readthedocs.io/en/latest/",
"CI": 1,
"last_update": "",
"pypi": "",
"doi_software": "https://zenodo.org/badge/latestdoi/85334761",
"doi_paper": "",
"conda": "https://anaconda.org/conda-forge/Improver",
"version": "1.9.0",
"legacy": ""
},
"MetSim": {
"description": "MetSim is a meteorological simulator and forcing disaggregator for hydrologic modeling and climate applications.",
"url": "https://github.com/UW-Hydro/MetSim",
"category": "Meteorological tools",
"docs": "http://metsim.readthedocs.io/",
"CI": 0,
"last_update": "2023-11-06T17:18:08",
"pypi": "https://pypi.org/project/MetSim/",
"doi_software": "",
"doi_paper": "",
"conda": "https://anaconda.org/conda-forge/MetSim",
"version": "2.4.4",
"legacy": ""
},
"MELODIST": {
"description": "MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps.",
"url": "https://github.com/kristianfoerster/melodist",
"category": "Meteorological tools",
"docs": "",
"CI": 1,
"last_update": "2024-06-07T10:10:16",
"pypi": "https://pypi.org/project/MELODIST/",
"doi_software": "",
"doi_paper": "https://doi.org/10.5194/gmd-9-2315-2016",
"conda": "",
"version": "0.1.6",
"legacy": ""
},
"PySteps": {
"description": "pySTEPS is a community-driven initiative for developing and maintaining an easy to use, modular, free and open source Python framework for short-term ensemble prediction systems.",
"url": "https://github.com/pySTEPS/pysteps",
"category": "Meteorological tools",
"docs": "https://pysteps.readthedocs.io/en/stable/",
"CI": 1,
"last_update": "2024-10-07T18:06:48",
"pypi": "https://pypi.org/project/PySteps/",
"doi_software": "https://zenodo.org/badge/latestdoi/140263418",
"doi_paper": "https://doi.org/10.5194/gmd-12-4185-2019",
"conda": "https://anaconda.org/conda-forge/PySteps",
"version": "1.12.0",
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