Abstract

Evapotranspiration (ET) is the second largest component of the water cycle in arid and semiarid environments, and, in fact, more than 60% of the precipitation on earth is returned to the atmosphere through it. MOD16 represents an operational source of ET estimates with adequate spatial resolution for several applications, such as water resources planning, at a regional scale. However, the use of these estimates in routine applications will require MOD16 evaluation and validation using accurate ground-based measurements. The main objective of this study was to evaluate the performance of the MOD16A2 product by comparing it with eddy covariance (EC) systems. Additional objectives were the analysis of the limitations, uncertainties, and possible improvements of the MOD16-estimated ET. The EC measurements were acquired for five sites and for a variety of land covers in northwestern Mexico. The indicators used for the comparison were: root mean square error (RMSE), bias (BIAS), concordance index (d), and determination coefficient (R2) of the correlation, comparing measured and modelled ET. The best performance was observed in Rayón (RMSE = 0.77 mm∙day−1, BIAS = −0.46 mm∙day−1, d = 0.88, and R2 = 0.86); El Mogor and La Paz showed errors and coefficients of determination comparable to each other (RMSE = 0.39 mm·day−1, BIAS = −0.04 mm∙day−1, R2 = 0.46 and RMSE = 0.42 mm·day−1, BIAS = −0.18 mm∙day−1, R2 = 0.45, respectively). In most cases, MOD16 underestimated the ET values.

Highlights

  • Evapotranspiration (ET) is the second largest component of the water cycle [1,2]

  • MOD16 had the best performance in the EC3 site (Table 2), for which the lowest error and the highest concordance index among the data were observed (RMSE = 0.58 mm·day−1, d = 0.90)

  • The best performance of MOD16 was evident in land with close shrub cover in comparison with land with open shrubs (EC4 and EC5) and wheat crops (EC1 and EC2) (Table 3)

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Summary

Introduction

Evapotranspiration (ET) is the second largest component of the water cycle [1,2]. It is commonly accepted that more than 60% of precipitation is returned to the atmosphere through it [3,4], especially in ecosystems with limitations of water (arid and semi-arid zones) [2,5,6]. The relative proportion of ET over precipitation defines the availability of water in a region and determines global vegetation patterns [2]; ET plays an important role in hydrology, agriculture, climatology, ecology, meteorology, carbon cycle, coastal sciences, data science, statistics, and economics [4,7]. Having accurate estimates of ET contributes to facilitating the decision-making for water resources management [7,11] because, in hydrological balances, even “small” errors in the estimated values can represent substantial volumes of water [10]

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