Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset
Abstract
This data package contains simulation results of daily evapotranspiration for 17 locations of meteorological stations with different precipitation, air temperature and vegetation within the East River Watershed, Colorado (CLMResult.csv). Daily precipitation data is included for reference. These are the main results of the paper Tran, 2019. Meteorological stations names, latitude and longitude coordinates of meteorological stations, types of lands from the National Land Cover Database, and a comparison with the community land model (CLM) data are also included (Met_LC.csv). The purpose of this data is to analyze the spatio-temporal variations of evapotranspiration at the East River Watershed and understand the factors that control these variations. More information regarding the study, methods, and findings can be found in the Related Reference paper.
- Authors:
-
- Lawrence Berkeley National Laboratory; Lawrence Berkeley National Laboratory
- University of California Merced
- Lawrence Berkeley National Laboratory
- Publication Date:
- Other Number(s):
- paf_646
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; Watershed Function SFA
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROCESSES > EVAPOTRANSPIRATION; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT; EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION; Evapotranspiration; Land cover types; Precipitation; Runoff; air temperature; community land model; daymet; evapotranspiration; soil texture; spatio-temporal variations; topography; vegetation
- OSTI Identifier:
- 1727258
- DOI:
- https://doi.org/10.15485/1727258
Citation Formats
Tran, Anh Phuong, Rungee, Joseph, Faybishenko, Boris, Dafflon, Baptiste, and Hubbard, Susan. Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset. United States: N. p., 2020.
Web. doi:10.15485/1727258.
Tran, Anh Phuong, Rungee, Joseph, Faybishenko, Boris, Dafflon, Baptiste, & Hubbard, Susan. Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset. United States. doi:https://doi.org/10.15485/1727258
Tran, Anh Phuong, Rungee, Joseph, Faybishenko, Boris, Dafflon, Baptiste, and Hubbard, Susan. 2020.
"Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset". United States. doi:https://doi.org/10.15485/1727258. https://www.osti.gov/servlets/purl/1727258. Pub date:Wed Jan 01 04:00:00 UTC 2020
@article{osti_1727258,
title = {Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset},
author = {Tran, Anh Phuong and Rungee, Joseph and Faybishenko, Boris and Dafflon, Baptiste and Hubbard, Susan},
abstractNote = {This data package contains simulation results of daily evapotranspiration for 17 locations of meteorological stations with different precipitation, air temperature and vegetation within the East River Watershed, Colorado (CLMResult.csv). Daily precipitation data is included for reference. These are the main results of the paper Tran, 2019. Meteorological stations names, latitude and longitude coordinates of meteorological stations, types of lands from the National Land Cover Database, and a comparison with the community land model (CLM) data are also included (Met_LC.csv). The purpose of this data is to analyze the spatio-temporal variations of evapotranspiration at the East River Watershed and understand the factors that control these variations. More information regarding the study, methods, and findings can be found in the Related Reference paper.},
doi = {10.15485/1727258},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2020},
month = {Wed Jan 01 04:00:00 UTC 2020}
}
