ebcdf49c-706e-421f-aa70-bf866a0ab94e por Alexandre de Amorim Teixeira Agência Nacional de Águas e Saneamento Básico Especialista em Geoprocessamento 61-2109-5667 61-2109-5330 Setor de Indústria e Abastecimento Trecho 4 Lote 370 Brasília Coordenação de Conjuntura e Gestão da Informação 71200-041 Brasil metadados@ana.gov.br 2022-05-25T15:45:13 ISO 19115:2003/19139 1.0 4326 EPSG 7.4 Global Evapotranspiration Datasets Assessment Using Water Balance in South America 2022-05-25T00:00:00 Base de dados publicada em 2022 Evapotranspiration (ET) connects the land to the atmosphere, linking water, energy, and carbon cycles. ET is an essential climate variable with a fundamental importance, and accurate assessments of the spatiotemporal trends and variability in ET are needed from regional to continental scales. This study compared eight global actual ET datasets (ETgl) and the average actual ET ensemble (ETens) based on remote sensing, climate reanalysis, land-surface, and biophysical models to ET computed from basin-scale water balance (ETwb) in South America on monthly time scale. The 50 small-to-large basins covered major rivers and different biomes and climate types. We also examined the magnitude, seasonality, and interannual variability of ET, comparing ETgl and ETens with ETwb. Global ET datasets were evaluated between 2003 and 2014 from the following datasets: Breathing Earth System Simulator (BESS), ECMWF Reanalysis 5 (ERA5), Global Land Data Assimilation System (GLDAS), Global Land Evaporation Amsterdam Model (GLEAM), MOD16, Penman–Monteith–Leuning (PML), Operational Simplified Surface Energy Balance (SSEBop) and Terra Climate. By using ETwb as a basis for comparison, correlation coefficients ranged from 0.45 (SSEBop) to 0.60 (ETens), and RMSE ranged from 35.6 (ETens) to 40.5 mm·month−1 (MOD16). Overall, ETgl estimates ranged from 0 to 150 mm·month−1 in most basins in South America, while ETwb estimates showed maximum rates up to 250 mm·month−1. ETgl varied by hydroclimatic regions: (i) basins located in humid climates with low seasonality in precipitation, including the Amazon, Uruguay, and South Atlantic basins, yielded weak correlation coefficients between monthly ETgl and ETwb, and (ii) tropical and semiarid basins (areas where precipitation demonstrates a strong seasonality, as in the São Francisco, Northeast Atlantic, Paraná/Paraguay, and Tocantins basins) yielded moderate-to-strong correlation coefficients. An assessment of the interannual variability demonstrated a disagreement between ETgl and ETwb in the humid tropics (in the Amazon), with ETgl showing a wide range of interannual variability. However, in tropical, subtropical, and semiarid climates, including the Tocantins, São Francisco, Paraná, Paraguay, Uruguay, and Atlantic basins (Northeast, East, and South), we found a stronger agreement between ETgl and ETwb for interannual variability. Assessing ET datasets enables the understanding of land–atmosphere exchanges in South America, to improvement of ET estimation and monitoring for water management. Sistematizar dados referentes à delimitação de bacias hidrográficas do Brasil Coordenação de Conjuntura e Gestão da Informação Agência Nacional de Águas e Saneamento Básico 61-2109-5208 61-2109-5330 Setor Policial Sul Quadra 5 Área 3 Bloco O Brasília Superintendência de Planejamento de Recursos Hídricos 70610-200 Brasil metadados@ana.gov.br Instituto de Pesquisas Hidráulicas Universidade Federal do Rio Grande do Sul Porto Alegre 91501-970 Brasil anderson.ruhoff@ufrgs.br Mamirauá Institute for Sustainable Development Mamirauá Institute for Sustainable Development Tefé 69553-225 Brasil ayan.fleischmann@mamiraua.org.br Department of Geography San Diego State University San Diego CA 92182 Estados Unidos da América tbiggs@sdsu.edu https://metadados.snirh.gov.br/geonetwork/srv/api/records/ebcdf49c-706e-421f-aa70-bf866a0ab94e/attachments/remotesensing-14-02526-g001-550.jpg global evapotranspiration basin water balance Terra Climate SSEBop PML MOD16 GLEAM GLDAS ERA5 BESS 2022 Brasil O acesso ao dado é livre. 1000000 por -83.901 -33.4531 -56.5016 15.306 Dados espaciais baseados nos trabalhos abaixo: Ruhoff, A.; de Andrade, B.C.; Laipelt, L.; Fleischmann, A.S.; Siqueira, V.A.; Moreira, A.A.; Barbedo, R.; Cyganski, G.L.; Fernandez, G.M.R.; Brêda, J.P.L.F.; Paiva, R.C.D.d.; Meller, A.; Teixeira, A.d.A.; Araújo, A.A.; Fuckner, M.A.; Biggs, T. Global Evapotranspiration Datasets Assessment Using Water Balance in South America. Remote Sensing, 2022, 14, 2526. https://doi.org/10.3390/rs14112526 Moreira, A.A.; Ruhoff, A.; Roberti, D.R.; Souza, V.A.; Rocha, H.R.; Paiva, R.C.D.d. Assessment of terrestrial water balance using remote sensing data in South America. Journal of Hydrology, 2019, 575, 131-147. ttps://doi.org/10.1016/j.jhydrol.2019.05.021. https://metadados.snirh.gov.br/geonetwork/srv/api/records/ebcdf49c-706e-421f-aa70-bf866a0ab94e/attachments/riverBasins_withWB_sorted.zip WWW:DOWNLOAD-1.0-http--download River Basin - riverBasins_withWB_sorted.zip(SHP) River Basin https://metadados.snirh.gov.br/geonetwork/srv/api/records/ebcdf49c-706e-421f-aa70-bf866a0ab94e/attachments/discharge_stations_wgs84.zip WWW:DOWNLOAD-1.0-http--download Discharge Stations - discharge_stations_wgs84.zip(SHP) Discharge Stations https://metadados.snirh.gov.br/geonetwork/srv/api/records/ebcdf49c-706e-421f-aa70-bf866a0ab94e/attachments/StationsStreamflow_mm_month-1.csv WWW:DOWNLOAD-1.0-http--download Stations Streamflow - StationsStreamflow_mm_month-1.csv(CSV) Stations Streamflow https://metadados.snirh.gov.br/geonetwork/srv/api/records/ebcdf49c-706e-421f-aa70-bf866a0ab94e/attachments/remotesensing-14-02526.pdf WWW:DOWNLOAD-1.0-http--download Global Evapotranspiration Datasets Assessment Using Water Balance in South America (remotesensing-14-02526.pdf) Global Evapotranspiration Datasets Assessment Using Water Balance in South America