Name: NOAA/NWS Office of Water Prediction (OWP)
Type: Organization
Bio: OWP is dedicated to addressing our water challenges and fulfilling the vision of a Weather-and-Water Ready Nation.
Twitter: nwsnwc
Location: United States of America
Blog: https://water.noaa.gov
NOAA/NWS Office of Water Prediction (OWP)'s Projects
AORC project
CFE is a conceptual rainfall-runoff model with an implementation of the Basic Model Interface.
Distributed Model on Demand infrastructure for OWP's Model as a Service
Hosts the code used to identify and predict model formulation performance using the Next Generation Water Resources Modeling Framework.
training material and playground for getting familiar with github
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
Develop aggregated hydrologic and hydraulic networks
Hydrofab = Hydrofabric Fabricator
hydrofabric meta-package
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
This repo is responsible for describing planned updates to the HydroVIS services, listing previous updates, and providing links to documentation and avenues to submit bugs and feedback.
Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
Lumped Arid/Semi-arid Model (LASAM) simulates infiltration and surface runoff (two important components of the hydrologic cycle) based on Layered Green-Ampt with redistribution (LGAR) model
Support the Python version of the LGAR model.
Central clearing house for NextGen project information.
In order to efficiently move data between OWP and Raytheon, we have set up this public facing GitHub.
Formulation and parameter regionalization for the Next Generation Water Resources Modeling Framework
Next Generation Water Modeling Engine and Framework Prototype
Tools for calibrating and configuring NextGen
Hydrofab Extensions for NOAA NextGen
Modularized version of the NOAH-MP land surface model.