TY - GEN
T1 - Uncertainties in The S-Sebi Model to Estimate Surface Energy Fluxes Over Natural Grasslands in Brazil
AU - Käfer, Pâmela Suélen
AU - Rocha, Nájila Souza da
AU - Skokovic, Drazen
AU - Veeck , Gustavo
AU - Ribeiro Diaz, Lucas
AU - Costa, Savannah Tâmara Lemos da
AU - Roberti, Débora Regina
AU - Sobrino , José A.
AU - Rolim, Silvia Beatriz Alves
PY - 2021/10/12
Y1 - 2021/10/12
N2 - 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.
AB - 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.
U2 - 10.1109/igarss47720.2021.9554927
DO - 10.1109/igarss47720.2021.9554927
M3 - Conference contribution
BT - 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PB - IEEE Xplore Digital Library
ER -