Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Metadata for the Rapid Forcing Retrieval (RFR) Web Tool


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 2.7 KB
Created: Oct 04, 2022 at 5:52 p.m.
Last updated: Oct 04, 2022 at 8:13 p.m. (Metadata update)
Published date: Oct 04, 2022 at 8:02 p.m.
DOI: 10.4211/hs.60e32ac396044582b0ef9f976d3e4a29
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Published
Views: 754
Downloads: 6
+1 Votes: 1 other +1 this
Comments: No comments (yet)

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 panels. The RFR intends to support the current Forcings source for the NOAA Office of Water Prediction (OWP) and does not act as a replacement for the current source. RFR will be useful to Hydrologists, Environmental Resource Managers, and other scientists using Forcings. Currently, RFR can help support the ongoing Next Generation (NEXTGEN) Framework hydrological models testing and validations. A use case begins with (1) visualizing watershed scales, (2) digitizing specific watershed boundaries, (3) selecting a specific date range, (4) choosing forcing variables to output, and (5) exporting forcings as desired by the user. Users must note that all output datasets begin from 00:00 UTC at the start date and ends at 23:00 UTC at the entered end date.

To use RFR 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
North Latitude
49.1542°
East Longitude
-66.4196°
South Latitude
26.4329°
West Longitude
-125.4821°

Content

README.txt

APP: The Rapid Forcing Retrieval (RFR) Web Application Tool
Project Period: June 11 ñ October 3rd, 2022
Developers/Authors: Kenneth Ekpetere | Xingong Li | Jonathan Frame | 
APP Url: https://cartoviews.users.earthengine.app/view/rapid-forcings-retrieval 
Funder: This Project received no grant/funds at the time of development.
Support: The RFR was developed at the 2022 Summer Institute organized by the Consortium of Universities for the Advancement of Hydrological Science Incorporated (OCUAHSI) and NOAAís Office of Water Prediction (OWP).
Key Words: Forcings, Hydrologic, NLDAS, Flow_predictions, Watersheds, Gages, Rapid_Forcing_Retrieval.

Contact: Kenneth.ekpetere@gmail.com | Kennethekpetere@ku.edu 

App Description:
The Rapid Forcings Retrieval (RFR) tool gets the hourly Forcings in a CSV and GeoTIFF formats for small and large-scale areas to drive hydrological models. The CSV is the main output for driving 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. The RFR intends to support current Forcings source for the NOAA Office of Water Prediction (OWP) and does not act as a replacement for the current source. RFR will be useful to Hydrologists, Environmental Resource Managers, and other scientists using Forcings. Currently, RFR can help support the ongoing Next Generation (NEXTGEN) Framework hydrological models testing and validations. A use case begins with (1) visualizing watersheds scales, (2) digitizing specific watershed boundary, (3) selecting specific date range, (4) choosing forcing variables to output, and (5) exporting forcings as desired by user. Users must note that all output datasets begin from 00:00 UTC at start date and ends at 23:00 UTC at the entered end date. 

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

Related Resources

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

How to Cite

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

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

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

Comments

There are currently no comments

New Comment

required