Filters: Contacts: David Gochis (X)
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This metadata record serves as documentation for the bias adjusted version of the CONUS404 (CONtiguous United States for 40-years at 4-kilometer grid spacing) atmospheric forcing dataset; however this dataset has been revised to include 43 years of data at 1-kilometer grid spacing. This is a dataset of historical conditions (water years 1980-2022, October 1, 1979-September 30, 2022) and has sufficient temporal and spatial detail to resolve mesoscale atmospheric processes, making it appropriate for forcing hydrological models and conducting meteorological analyses. This data release includes the bias adjusted CONUS404 outputs (CONUS404 BA) and the adjustment grids that were used in the bias adjustment process. The...
Introduction CONUS404 is a unique, high-resolution hydro-climate dataset appropriate for forcing hydrological models and conducting meteorological analysis over the contiguous United States. CONUS404, so named because it covers the CONtiguous United States for 40 years at 4-km resolution, was produced by the Weather Research and Forecasting (WRF) Model simulations run by National Center for Atmospheric Research (NCAR) as part of a collaboration with the U.S. Geological Survey (USGS) Water Mission Area. In fact, CONUS404 includes 43 years of data (water years 1980-2022) and the spatial domain extends beyond the CONUS into Canada and Mexico, thereby capturing transboundary river basins and covering all contributing...
Categories: Data,
Data Release - Revised;
Tags: Climatology,
Data Release - Revised,
HPC ARC,
Hydrology,
USGS Science Data Catalog (SDC),
This project aims to improve seasonal water supply forecasts on the Upper Rio Grande River basin and, in doing so, help to minimize the substantial costs associated with erroneous forecasts and related sub-optimal allocations of water for surface irrigation, groundwater recharge and endangered specifies management. Erroneous seasonal water supply forecasts in the Upper Rio Grande River basin have a profound impact on water management, agricultural production and economic vitality.The specific goals of this project are to: Develop state-of the art precipitation and snowpack monitoring products through the use of experimental radar, surface observations and land data assimilation systems Improve the spatial and...
Categories: Data,
Project;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: CO-03,
Colorado,
Colorado,
Data Acquisition and Development,
Federal resource managers,
Introduction The CONUS404 pseudo-global warming (PGW) dataset is a future-perturbed hydro-climate dataset, created as a follow on to the CONUS404 dataset. The CONUS404 PGW dataset represents the weather from 1980 to 2021 under a warmer and wetter climate environment and provides an opportunity to explore the event-based climate change impacts when used with the CONUS404 historical data. This dataset has sufficient temporal and spatial detail to resolve probable mesoscale atmospheric states and processes in a future warmer climate, making it appropriate for forcing hydrological models and conducting meteorological analyses to study one possible scenario of climate changes and resultant hydrologic impacts over...
Categories: Data;
Tags: Climatology,
Hydrology,
USGS Science Data Catalog (SDC),
Water Resources,
climatologyMeteorologyAtmosphere,
This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the CONUS404 (CONUS404BA) atmospheric forcings dataset (Zhang and others, 2024). The WRF-Hydro model input files are included within this data release and consist of two configuration files, two simulation restart files, nine parameter files, and five types of output files. Each output type has a file for each timestep of the model application...
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