WRF-Hydro Community Services Video - Now Available!
In this webinar, you can expect to learn more about the following:
- brief overview of the community
- WRF-Hydro Modeling System (NCAR)
- High level description of the National Water Model configuration of WRF-Hydro (NCAR)
- Current and upcoming educational resources available to the community for learning & guidance for using the modeling system (NCAR)
- Hands-on training and workshop opportunities (NCAR & CUAHSI)
- Description of the Summer Institute at the National Water Center (CUAHSI)
- Demonstration of online, cloud-based National Water Model domain extraction and model execution tools (CUAHSI)
- Snapshot of the user community (NCAR & CUAHSI)
The WRF-Hydro® Modeling System was developed at the National Center for Atmospheric Research (NCAR) as an open-source community model. It is used for a range of projects, including flash flood prediction, regional hydroclimate impacts assessment, seasonal forecasting of water resources, and land-atmosphere coupling studies. It was designed to link multi-scale process models of the atmosphere and terrestrial hydrology to provide:
- An extensible multi-scale & multi-physics land-atmosphere modeling capability for conservative, coupled and uncoupled assimilation & prediction of major water cycle components such as precipitation, soil moisture, snowpack, groundwater, streamflow prediction across scales (from 0-order headwater catchments to continental river basins and from minutes to season.
- A research modeling testbed for evaluating and improving physical process and coupling representations.
A configuration of WRF-Hydro was was co-developed for operational implementation by the NOAA Office of Water Prediction, the NOAA National Water Center, NCAR/RAL, the USGS, CUAHSI and other members of the academic community. In 2016 WRF-Hydro was implemented as the underlying framework of the NOAA National Water Model (NWM) delivering streamflow forecasts on the 2.7 million river reaches of the USGS NHDPlusv2 hydrography dataset as well as gridded analyses of a host of other hydrologic variables across the conterminous United States (CONUS) in order to:
- Provide consistent, operational forecast streamflow guidance for currently under-served locations.
- Generate, regularly cycling, spatially continuous estimates of hydrologic states for the nation (snowpack, soil moisture, channel flow, major reservoir inflows, flood inundation)
- Implement an Earth system modeling architecture that permits rapid model evolution of new data, science and technology
View the recording of the webinar here!