TSEB modeling and the comparison between the model results and the eddy-covariance monitored data within the footprint area


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Created: Oct 25, 2021 at 6:03 p.m.
Last updated: Oct 27, 2021 at 1:51 a.m.
DOI: 10.4211/hs.eb6eeeccdbe546fc941f3c219cb05a34
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Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

The widely used two-source energy balance (TSEB) model coupled with AggieAir (https:// uwrl.usu.edu/aggieair/, a type of small Unmanned Aerial System) data can provide high-resolution modeled energy components, evapotranspiration partitioning, etc., at a subfield scale. When the research area is equipped with eddy-covariance (EC) towers, researchers often want to compare between the modeling results and the EC monitoring data within the footprint area once they run the TSEB model. However, we found the process to be time-consuming due to the large number of AggieAir flight images in the archive, as well as the uncertainty of some parameters (e.g., the G ratio). In order to increase the efficiency of modeling and verifying modeling results, this project adds some python scripts after the published TSEB model runs that consider the connection among the modeling results, the AggieAir platform, and the EC tower. This project is a part of our pending paper. Other researchers can also consider using this project if the available data are similar to ours.

Subject Keywords

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
California vineyards
North Latitude
38.5354°
East Longitude
-119.9697°
South Latitude
36.7692°
West Longitude
-123.2468°

Temporal

Start Date:
End Date:

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

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Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA NNX17AF51G
Utah Water Research Laboratory Student Fellowship

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Carri Richards Utah State University

How to Cite

Gao, R., A. F. Torres-Rua, A. Nassar, L. Hipps, H. Nieto, M. Aboutalebi, W. A. White, M. Anderson, W. P. Kustas, M. M. Alsina, J. Alfieri, N. Dokoozlian, F. Gao, L. McKee, J. H. Prueger, L. Sanchez, A. J. Mcelrone, N. B. Ortiz, I. Gowing, C. Coopmans (2021). TSEB modeling and the comparison between the model results and the eddy-covariance monitored data within the footprint area, HydroShare, https://doi.org/10.4211/hs.eb6eeeccdbe546fc941f3c219cb05a34

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

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

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