The Rapid Forcing Retrieval (RFR)

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Created: Oct 04, 2022 at 3:22 a.m.
Last updated: Oct 04, 2022 at 8:12 p.m.
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Sharing Status: Public
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Abstract

The Rapid Forcings Retrieval (RFR) tool gets the hourly Forcings in CSV and GeoTIFF formats for small and large-scale areas to drive hydrological models. The CSV is the main output for driving the dynamic hydrologic process, while the GeoTIFF is an average of the selected period. The RFR retrieves Forcings for specific United States Geological Survey (USGS) Hydrologic Units watersheds, CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) basins, and points (gauged and ungauged locations). RFR relies on the North American Land Data Assimilation System (NLDAS) hosted on Google Earth Engine. NLDAS Forcings (Precipitation, Evapotranspiration, Temperature, Specific Humidity, Surface Pressure, Convective Fraction, wind, Potential Energy, Long and Shortwave Radiation) are vital model inputs for discharge prediction. Users can quickly select a specific date range and area of interest to subset Forcings which are then served into a model for streamflow predictions. RFR allows users to export specific Forcings at a time, keeping the interface clean while preventing crowding of panel.

To use RFR Web App, visit:
Ekpetere, K. O., X. Li, J. Frame (2022). The Rapid Forcing Retrieval (RFR), HydroShare, http://www.hydroshare.org/resource/adc37a792a6144c9a1d45e05621e4230

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Unites States
North Latitude
49.3581°
East Longitude
-63.9587°
South Latitude
25.7664°
West Longitude
-125.3063°

Configuration

Home Page URL:

https://cartoviews.users.earthengine.app/view/rapid-forcings-retrieval

Sharing Status:

Published, Public, Discoverable

App Icon:


Related Resources

The content of this resource references Ekpetere, K. O., X. Li, J. Frame (2022). Metadata for the Rapid Forcing Retrieval (RFR) Web Tool, HydroShare, https://doi.org/10.4211/hs.60e32ac396044582b0ef9f976d3e4a29,

How to Cite

Ekpetere, K. O., X. Li, J. Frame (2022). The Rapid Forcing Retrieval (RFR), HydroShare, http://www.hydroshare.org/resource/adc37a792a6144c9a1d45e05621e4230

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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