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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Effects of spatial and temporal weather data resolutions on streamflow modeling of a semi-arid basin, Northeast Brazil

Texto completo
Bressiani, Danielle de Almeida [1, 2] ; Srinivasan, Raghavan [1] ; Jones, Charles Allan [1] ; Mendiondo, Eduardo Mario [2, 3]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Texas A&M Univ, Dept Ecosyst Sci & Management, SSL, College Stn, TX 77843 - USA
[2] Univ Sao Paulo, Engn Sch Sao Carlos EESC, SHS, BR-13566590 Sao Carlos, SP - Brazil
[3] CEMADEN MCTI, Brazilian Ctr Monitoring & Early Warning Nat Disa, BR-12247016 Sao Jose Dos Campos, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Citações Web of Science: 32

One major difficulty in the application of distributed hydrological models is the availability of data with sufficient quantity and quality to perform an adequate evaluation of a watershed and to capture its dynamics The Soil \& Water Assessment Tool (SWAT) was used in this study to analyze the hydrologic responses to different sources, spatial scales, and temporal resolutions of weather inputs for the semi-arid Jaguaribe watershed (73 000 km(2)) in northeastern Brazil. Four different simulations were conducted, based on four groups of weather and precipitation inputs: Group 1- SWAT Weather Generator based on monthly data from four airport weather stations and daily data based on 124 local rain gauges; Group 2-daily local data from 14 weather stations and 124 precipitation gauges; Group 3- Daily values from a global coupled forecast model (NOAA's Climate Forecast System Reanalysis - CFSR); and Group 4- CFSR data with 124 local precipitation gauges. The four simulations were evaluated using multiple statistical efficiency metrics for four streamflow gauges, using: Nash-Sutcliffe coefficient (NSE), determination coefficient (R-2), the ratio of the root mean square to the standard deviation of the observed data (RSR), and the percent bias (PBIAS). The Group 4 simulation performed best overall (provided the best statistical values) with results ranked as ``good{''} or ``very good{''} on all four efficiency metrics suggesting that using CFSR data for weather parameters other than precipitation, coupled with precipitation data from local rain gauges, can provide reasonable hydrologic responses. The second best results were obtained with Group 1, which provided ``good{''} results in three of four efficiency metrics. Group 2 performed worse overall than Groups 1 and 4, probably due to uncertainty related to daily measures and a large percentage of missing data. Groups 2 and 3 were ``unsatisfactory{''} according to three or four of the efficiency metrics, indicating that the choice of weather data is very important. (AU)

Processo FAPESP: 11/10929-1 - Sistema web-mapping integrado de suporte à decisão de riscos hidrológicos em bacias hidrográficas urbanas
Beneficiário:Danielle de Almeida Bressiani
Linha de fomento: Bolsas no Brasil - Doutorado Direto
Processo FAPESP: 12/17854-0 - Sistema probabilístico de previsão de inundações atribuído de diferentes estimativas de precipitação, modelo hidrológico e hidráulico e análise de incertezas
Beneficiário:Danielle de Almeida Bressiani
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado Direto