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TSEB modeling and the comparison between the model results and the eddy-covariance monitored data within the footprint area
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|Storage:||The size of this resource is 8.7 MB|
|Created:||Oct 25, 2021 at 6:03 p.m.|
|Last updated:|| Oct 27, 2021 at 1:51 a.m.
|Citation:||See how to cite this resource|
|Content types:||Geographic Raster Content|
|+1 Votes:||1 other +1 this|
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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.
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|This resource is referenced by||https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/hydrology-and-remote-sensing-laboratory/docs/grapex/grapex-home/|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Utah Water Research Laboratory||Student Fellowship|
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.
|Carri Richards||Utah State University|