%0 Journal Article
%4 sid.inpe.br/mtc-m21c/2020/06.02.13.30
%2 sid.inpe.br/mtc-m21c/2020/06.02.13.30.43
%@doi 10.3390/W12051268
%@issn 2073-4441
%T Hydrologic validation of MERGE precipitation products over anthropogenic watersheds
%D 2020
%8 May
%9 journal article
%A Cassalho, Felício,
%A Rennó, Camilo Daleles,
%A Reis, João Bosco Coura dos,
%A Silva, Benedito Cláudio da,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
%@affiliation Universidade Federal de Itajubá (UNIFEI)
%@electronicmailaddress felicioufpel@gmail.com
%@electronicmailaddress camilo.renno@inpe.br
%@electronicmailaddress joaodosreis89@gmail.com
%@electronicmailaddress silvabenedito@gmail.com
%B Water (Switzerland)
%V 12
%N 5
%P e1268
%K Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis, large scale hydrological modeling, satellite rainfall estimates, Paraíba do Sul River Basin.
%X Satellite rainfall estimates (SRFE) are a promising alternative for the lack of reliable, densely distributed, precipitation data common in developing countries and remote locations. SRFE may be significantly improved when corrected based on rain gauge data. In the present study the first complete validation of the Tropical Rainfall Measuring Mission (TRMM) 3B42-based MERGE product is performed by means of ground truthing and hydrological modeling-based applications. Four distinct, highly anthropogenic watersheds were selected in the Upper Paraíba do Sul River Basin (UPSRB)Brazil. The results show that when compared to TRMM Multi-Satellite Precipitation Analysis (TMPA) 3B42V7 at the watershed scale, MERGE has a higher correlation with observed data. Likewise, root mean square errors and bias are significantly lower for MERGE products. When hydrologically validated, MERGE-based streamflow simulations have shown the capacity of reproducing the overall hydrological regime with good to very good results for the downstream lowland sections. Limitations were observed in the hydrological modeling of the upstream, highly anthropogenic, dammed watersheds. However, such limitations may not be attributed to MERGE precipitation since they were also obtained for the individually calibrated rain gauge-based simulations. The results indicate that the used MERGE dataset as a hydrological model input is better suited for application in the UPSRB than the TMPA 3B42V7.
%@language en
%3 water-12-01268-v2.pdf