Uncertainties in The S-Sebi Model to Estimate Surface Energy Fluxes Over Natural Grasslands in Brazil

Pâmela Suélen Käfer, Nájila Souza da Rocha, Drazen Skokovic, Gustavo Veeck , Lucas Ribeiro Diaz, Savannah Tâmara Lemos da Costa, Débora Regina Roberti, José A. Sobrino , Silvia Beatriz Alves Rolim

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Evapotranspiration (ET) is one of the main fluxes in the global water cycle. In this context, we assessed an operational methodology based on the S-SEBI model to accurately estimate energy fluxes over the natural grasslands of Pampa biome. The S-SEBI performance was investigated considering radiation data from both ERA5 reanalysis and tower flux. Comparisons from satellite-based estimates with in situ measurements were performed with and without energy balance closure (EBC). Results indicated that meteorological inputs have low sensitivity on daily ET estimates. In contrast, the instantaneous components are more affected. The impact in the daily ET is lower when in situ data without EBC are considered as ground truth, despite they are less correlated with the remote sensing estimates. These insights are useful to monitor water and energy fluxes on a regional scale and provide the opportunity to capture ET trends over the Brazilian Pampa.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Subtitle of host publication[Proceedings]
PublisherIEEE Xplore Digital Library
DOIs
Publication statusPublished - 12 Oct 2021

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