OpenET Satellite-based ET Intercomparisons with Ground-based Measurements: Phase II Results

Volk, John; Huntington, Justin L.; Melton, F. S.; Allen, Richard G.; Anderson, Martha C.; Dunkerly, Christian; Fisher, Joshua; Friedrichs, M.; Hain, Christopher; Halverson, G. H.; Johnson, Lee F.; Kang, Yanghui; Kiliç, Ayşe; Knipper, Kyle; Minor, Blake; Morton, Charles; Ortega-Salazar, Samuel; Ott, Thomas; Pearson, Christopher; Revelle, Peter; Ruhoff, Anderson Luís; Senay, Gabriel B.; Wang, Tianxin; Yang, Yun

doi:10.1002/essoar.10509238.1

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“…As a result, this procedure results in 12 correction surfaces (i.e., one for each month) for each forcing variable. Similar correction procedures have been used in the past to adjust gridded climate reference ET estimates using in situ weather station data (Melton et al., 2021; Volk et al., 2021). In this process, RTMA acts as the station data set and gridMET acts as the gridded climate product.…”

Section: Dlem Application: Case Study In Texasmentioning

confidence: 99%

Developing a General Daily Lake Evaporation Model and Demonstrating Its Application in the State of Texas

Zhao,

Huntington,

Pearson

et al. 2024

Water Resources Research

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Open water evaporation, which often consumes a large fraction of annual storage (especially in arid and semi‐arid regions), is a controlling variable for modern water resource management. Developing a daily reservoir evaporation data set is necessary for reservoir operations to consider the influence of evaporation in a timely manner. However, over the past few decades, the quantification of reservoir evaporation has primarily relied on monthly Class A pan evaporation observations, which might lead to largely biased estimations because they do not incorporate the effects of heat storage and fetch. In this study, we developed a general Daily Lake Evaporation Model (DLEM) based on Penman's equation combined with daily atmospheric reanalysis data sets, to improve the validity and frequency of reservoir evaporation monitoring. Compared with daily evaporation estimates from eddy covariance systems, the DLEM showed good quality and reliability, with R2 values ranging from 0.50 to 0.73 and RMSE values ranging from 1.13 to 1.97 mm day−1 in four different sites. By applying DLEM to all 188 major reservoirs in Texas, we generated a long‐term data set of (1 January 1981–31 December 2021) daily evaporation rates. The results reveal a clear geographic distribution and strong seasonality of evaporation throughout Texas, where the mean evaporation rate is highest during July, with 6.85 mm day−1. Trend analysis indicates that the annual average evaporation rate has significantly increased since 1981 at a rate of 0.076 mm day−1 decade−1. This study provides sufficient data support for water resource operations and management, and regional water planning.

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Section: Dlem Application: Case Study In Texasmentioning

confidence: 99%