Comparison of evaporation estimates from the REEM and EEFlux models in a shallow water body. Case: Bustillos Lake, Chihuahua, Mexico

Hugo Rojas-Villalobos; Zohrab Samani; Christopher Brown; Luis Alatorre-Cejudo; Blair Stringam; Víctor Salas-Aguilar

doi:10.24850/j-tyca-13-06-05

Authors

Hugo Rojas-Villalobos Geoinformatics Department, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico https://orcid.org/0000-0002-2483-9228
Zohrab Samani Civil Engineering, New Mexico State University, Las Cruces, NM, USA https://orcid.org/0000-0002-3273-0599
Christopher Brown Department of Geography, New Mexico State University, Las Cruces, NM, USA https://orcid.org/0000-0002-3622-6226
Luis Alatorre-Cejudo Geoinformatics Department, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico https://orcid.org/0000-0003-0837-3381
Blair Stringam Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, USA https://orcid.org/0000-0003-3810-2152
Víctor Salas-Aguilar Geoinformatics Department, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico https://orcid.org/0000-0002-0258-7816

DOI:

https://doi.org/10.24850/j-tyca-13-06-05

Abstract

Waterbody evaporation (E) within endorheic basins in semiarid areas is critical in determining the water balance. Accurate E measurements can provide valuable information for the sustainable management of water resources in the face of climate change scenarios. However, evaporation can be estimated through methods as efficient as Penman using variables from agroclimatic stations, such as wind velocity, net radiation, relative humidity, and air temperature, which have spatiotemporal variability. Within the evaporation models based on remote sensing (RS) is the surface energy balance model (SEB), which has been applied to different methodologies and extends the measurements of evapotranspiration (ET) at a regional level. SEB-based methodologies use physical principles with minimal weather data requirements to estimate ET. Hence, this article compares two RS methodologies that estimate evaporation: The Regional Evapotranspiration Estimate Model (REEM) and the Earth Engine Evapotranspiration Flux (EEFlux). Comparing ET measurements obtained from REEM and EEFlux for seven Landsat OLI scenes in the agriculture cycle of April to September applied against the simplified Penman equation showed that the REEM performed better (d = 94 %) than the EEFlux (d = 68 %) for the indicated period. Although the comparison of REEM and EEFlux shows accurate E measurements (REEM), gridded weather data (EEFlux) needs to improve, increasing the scale using local information.