The influence of land surface temperature in evapotranspiration estimated by the s-sebi model

N.S. da Rocha; P.S. Käfer; D. Skokovic; G. Veeck; L.R. Diaz; E.A. Kaiser; C.M. Carvalho; R.C. Cruz; J.A. Sobrino; D.R. Roberti; S.B.A. Rolim

doi:10.3390/atmos11101059

The influence of land surface temperature in evapotranspiration estimated by the s-sebi model

N.S. da Rocha, P.S. Käfer, D. Skokovic, G. Veeck, L.R. Diaz, E.A. Kaiser, C.M. Carvalho, R.C. Cruz, J.A. Sobrino, D.R. Roberti, S.B.A. Rolim

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Abstract

© 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.

Original language	English
Article number	1059
Journal	Atmosphere
Volume	11
Issue number	10
DOIs	https://doi.org/10.3390/atmos11101059
Publication status	Published - 1 Oct 2020
Externally published	Yes

Funding

Funding: This research was funded in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES), finance code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Rio Grande do Sul (FAPERGS). We are also grateful to the anonymous reviewers for the valuable comments. This research was funded in part by the Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior-Brazil (CAPES), finance code 001, Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq) and Funda??o de Amparo ? Pesquisa do Rio Grande do Sul (FAPERGS). We are also grateful to the anonymous reviewers for the valuable comments. The Landsat 8 OLI/TIRS products are a courtesy of the US Geological Survey Earth Resources Observation and Science Center. The authors also are grateful for the International Long Term Ecological Research (ILTER) of Pampa biome and for Image Processing Laboratory (IPL) coordinated by Jos? Antonio Sobrino for providing the S-SEBI model programs.

Funders	Funder number
Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
Funda??
International Long Term Ecological Research
Pesquisa do Rio Grande do Sul
US Geological Survey Earth Resources Observation and Science Center
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

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title = "The influence of land surface temperature in evapotranspiration estimated by the s-sebi model",

abstract = "{\textcopyright} 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.",

author = "{da Rocha}, N.S. and P.S. K{\"a}fer and D. Skokovic and G. Veeck and L.R. Diaz and E.A. Kaiser and C.M. Carvalho and R.C. Cruz and J.A. Sobrino and D.R. Roberti and S.B.A. Rolim",

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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.

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DO - 10.3390/atmos11101059

M3 - Article

SN - 2073-4433

VL - 11

JO - Atmosphere

JF - Atmosphere

IS - 10

M1 - 1059

ER -

The influence of land surface temperature in evapotranspiration estimated by the s-sebi model

Abstract

Funding

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