TY - JOUR
T1 - The influence of land surface temperature in evapotranspiration estimated by the s-sebi model
AU - da Rocha, N.S.
AU - Käfer, P.S.
AU - Skokovic, D.
AU - Veeck, G.
AU - Diaz, L.R.
AU - Kaiser, E.A.
AU - Carvalho, C.M.
AU - Cruz, R.C.
AU - Sobrino, J.A.
AU - Roberti, D.R.
AU - Rolim, S.B.A.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - © 2020 by the authors. Licensee MDPI, Basel, Switzerland. article distributed under the terms and conditions of the Cr.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its applications are varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of land surface temperature (Ts) can cause on ET estimates by S-SEBI model in the Pampa biome area. Also, the specificities of native grassland of Pampa biome related to energy balance were analyzed. The results indicate that the daily evapotranspiration is higher when the pixel Ts is lower, which also shows the influence of land use on the variability of ET. The results demonstrated that the S-SEBI is less dependent on Ts estimation than other models reported in the literature, such as the SEBS, which not exceed 0.5 mm/day in grasslands. The evapotranspiration variability between forest and grassland were lower than expected, demonstrating that the Pampa biome have in Rio Grande do Sul the same importance that forests regarding to the processes of the hydrological cycle, since it covers 63% of the State.
AB - © 2020 by the authors. Licensee MDPI, Basel, Switzerland. article distributed under the terms and conditions of the Cr.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its applications are varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of land surface temperature (Ts) can cause on ET estimates by S-SEBI model in the Pampa biome area. Also, the specificities of native grassland of Pampa biome related to energy balance were analyzed. The results indicate that the daily evapotranspiration is higher when the pixel Ts is lower, which also shows the influence of land use on the variability of ET. The results demonstrated that the S-SEBI is less dependent on Ts estimation than other models reported in the literature, such as the SEBS, which not exceed 0.5 mm/day in grasslands. The evapotranspiration variability between forest and grassland were lower than expected, demonstrating that the Pampa biome have in Rio Grande do Sul the same importance that forests regarding to the processes of the hydrological cycle, since it covers 63% of the State.
U2 - 10.3390/atmos11101059
DO - 10.3390/atmos11101059
M3 - Article
SN - 2073-4433
VL - 11
JO - Atmosphere
JF - Atmosphere
IS - 10
M1 - 1059
ER -