awsm

Water forecaster

An automated water supply forecasting tool for multiple basins

Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service. AWSM was designed to streamline the workflow used to forecast the water supply of multiple water basins.

GitHub

9 stars
6 watching
2 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list

awsmforecasthydrologymodelingsnowwaterwatershed

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
pyswmm/pyswmmProvides a Python interface to the US Environmental Protection Agency's Stormwater Management Model (SWMM) for hydraulic modeling and hydrology analysis.294
immm-sfa/mosartwmpyA Python model for simulating water routing and reservoir management20
eccc-astd-mrd/gemA numerical weather prediction system for forecasting atmospheric conditions19
ec-usgs/pywatershedA hydrologic model framework using Python and Fortran36
artesiawater/hydropandasA Python package for analyzing and writing hydrological timeseries data58
doi-bor/pyforecastTools for building predictive models of seasonal water flow and inflow forecasts28
iiasa/cwatmA hydrological model simulating the water cycle at global and local levels, assessing water supply, demand, and environmental needs.71
ncar/wrf_hydro_nwm_publicA community modeling system and framework for hydrologic modeling and model coupling.187
noaa-owp/ras2fimAutomates flood inundation mapping from HEC-RAS models to support real-time and predictive floodplain mapping.50
wknoben/marrmotSoftware for evaluating and comparing hydrological models using Matlab110
ncar/wrf-pythonProvides diagnostic and interpolation routines for WRF-ARW model output414
ecmwfcode4earth/ml_droughtDevelops machine learning models to predict and understand drought using climate science data93
knowflow/knowflow_awmA low-cost, customizable water quality monitoring system designed for environmental activism and education.87
amazon-science/earth-forecasting-transformerAn implementation of a deep learning model for predicting weather and climate patterns373
robeltakele/aquabeherA tool for estimating and predicting wet season calendars and soil water balances for agricultural applications.10