Tropical rainfall-surface temperature relations using Tropical Rainfall Measuring Mission precipitation data

Atualmente, dados de sensoriamento remoto, como os do Tropical Rainfall Measuring Mission (TRMM), vem sendo utilizados para monitorar a distribuição da chuva no tempo e no espaço. O objetivo deste trabalho foi avaliar a qualidade dos dados da precipitação pluvial estimada pelo produto 3B43-TRMM no estado de Sergipe, nas escalas mensal e anual, entre 1998 e 2013. Os valores pontuais estimados pelo TRMM foram comparados com os dados de precipitação obtidos em 13 postos pluviométricos da Agência Nacional de Águas (ANA). Os indicativos estatísticos considerados foram o coeficiente de determinação (R²), erro médio absoluto (EMA), raiz do erro quadrado médio (REQM) e índice de concordância de Willmott (d). Os valores de R² foram de 0,49 e 0,16 nas escalas mensal e anual, respectivamente. Para a escala de tempo mensal as melhores estimativas do produto TRMM foram encontradas na região Semiárida do estado de Sergipe, com valores de R², EMA, REQM e d iguais a 0,54, 27,18 mm e 38,71 mm e 0,83, respectivamente.Palavras-chave: 3B43-TRMM; climatologia; hidrologia; chuva. ANALYSIS OF ESTIMATED PRECIPITATION DATA BY REMOTE SENSING IN THE SERGIPE STATE ABSTRACT: Currently, remote sensing data, such as that of the Tropical Rainfall Measuring Mission (TRMM), has been used to monitor the distribution of rain over time and space. The objective of this work was to evaluate the quality of the rainfall data estimated by the product 3B43-TRMM in the state of Sergipe, on the monthly and annual scales, between 1998 and 2013. The point values estimated by the TRMM were compared with the precipitation data obtained in 13 pluviometric stations of the National Water Agency (ANA). The statistical indications considered were the coefficient of determination (R²), mean absolute error (EMA), root of the mean square error (REQM) and Willmott's agreement index (d). The R² values were 0.49 and 0.16 on the monthly and annual scales, respectively. For the monthly time scale, the best estimates of the TRMM product were found in the semi-arid region of the state of Sergipe, with values of R², EMA, REQM and d equal to 0.54, 27.18 mm and 38.71 mm and 0.83, respectively.Keywords: 3B43-TRMM, climatology; hydrology; rain.

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Evaluating the TRMM Multisatellite Precipitation Analysis for Extreme Precipitation and Streamflow in Ganjiang River Basin, China

Advances in Meteorology ◽

10.1155/2017/2902493 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 12

Author(s):

Shanshan Jiang ◽

Zengxin Zhang ◽

Yuhan Huang ◽

Xi Chen ◽

Sheng Chen

Keyword(s):

River Basin ◽

Extreme Precipitation ◽

Hydrological Model ◽

Tropical Rainfall Measuring Mission ◽

Precipitation Data ◽

Tropical Rainfall ◽

Precipitation Estimation ◽

Precipitation Analysis ◽

Trmm 3B42 ◽

Ganjiang River Basin

Based on the observed precipitation data and TRMM (Tropical Rainfall Measuring Mission) 3B42 RTV7 and 3B42 V7 precipitation products from 2003 to 2010, the extreme precipitation and streamflow in the Ganjiang River basin were analyzed. The VIC hydrological model was used to simulate the streamflow driven by RTV7/V7 precipitation products in the Ganjiang River basin. The results show that (1) both of the RTV7 and V7 precipitation products have good applicability in precipitation estimation in the Ganjiang River basin and the correlation between the observed precipitation and RTV7 (V7) was as higher as 0.85 (0.86); (2) the RTV7/V7 precipitation products can well be used to simulate the streamflow by using the VIC hydrological model and the correlation between the observed streamflow and simulated streamflow driven by RTV7 (V7) products was as high as 0.86 (0.89); (3) the extreme precipitation varied greatly in the Ganjiang River basin and both of the RTV7 and V7 can capture the pattern of extreme precipitation in the Ganjiang River basin; however, higher extreme precipitation can be found in the northern Ganjiang River basin; (4) the extreme streamflow simulated driven by RTV7/V7 products agreed well with the observed extreme streamflow in the Ganjiang River basin. This study indicated that the TRMM 3B42 RTV7 and V7 products can be well used in the estimation of extreme precipitation and extreme streamflow.

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