Ciclo diário da precipitação estimada através de um radar banda S e pelo algoritmo 3B42_V6 do projeto TRMM durante a estação chuvosa de 1999 no sudoeste da Amazônia

Abstract

Neste artigo apresenta-se uma avaliação da precipitação estimada através do radar S-POL (banda S) e pelo algoritmo 3B42_V6 do satélite TRMM, durante o experimento do período chuvoso de 1999 do projeto TRMM-LBA na Bacia Amazônica, enfocando-se a variabilidade diária. Para tal, utilizam-se técnicas estatísticas baseadas em tabela de contingência e índices, bem como a análise harmônica. Demonstra-se que precipitação determinada com o radar é coerente com as observações de rede de pluviômetros. O ciclo diário exibe um máximo principal no final da tarde, e um pico secundário à noite, que é associado à propagação de Linhas de Instabilidades no interior da Bacia Amazônica. O algoritmo 3B42_V6 reproduz características importantes do ciclo diário de precipitação: (i) o máximo intenso às 2100 UTC (1700 HL); (ii) precipitação noturna mais intensa durante o regime de Oeste. Uma importante aplicação deste estudo é o uso dos resultados para avaliação de modelos numéricos de simulação do tempo e do clima, principalmente no que concerne à representação da convecção sobre a região.

Assessment of the TRMM 3B42 Precipitation Product in Southern Brazil

“…The older V6 was also studied. V6 had a significantly poor ability to reproduce rainfall, clearly suggesting that previous work that evaluated TRMM products in Brazil (e.g., Collischonn et al ., ; Nóbrega et al ., ; Pinto et al ., ; and Silva et al ., ) underestimated the potential of TRMM.…”

“…(), and Silva et al . () used TRMM 3B42 (V6) for hydrological purposes in large Amazonian and Central Brazil basins. These studies obtained results similar to those mentioned above, observing that in several areas where the station density was very low, hydrologic forecasts using TRMM 3B42 data were superior to those using gauges for precipitation input.…”

“…In this article, we evaluated versions 6 (V6) and 7 (V7) of the 3B42 algorithm (V6 was analyzed for historical reasons as several studies in Brazil (e.g., Collischonn et al, 2007;N obrega et al, 2008;Pinto et al, 2009;and Silva et al, 2011) used this version.…”

Estimation of Rainfall by Neural Network Over a Neotropical Region (Estimativa De Chuvas Pela Rede Neural Sobre a Região Neotropical)

“…TRMM as a remote sensing technique with the specific purpose of measuring rainfall in the tropics (COLLISCHONN et al, 2007) has been used to investigate pluviometric regime _________________Revista Brasileira de Climatologia_________________ ISSN: 1980-055x (Impressa) 2237 Ano 11 -Vol. 17 -JUL/DEZ 2015 43 dynamics for many purposes such as: assessing the spatiotemporal dynamics of two subregions of the Pantanal (ADAMI et al, 2008); studying daily variability of rainfall in the Amazon basin (SILVA et al, 2011); identifying warm season in urban regions of some cities in USA (SHEPHERD et al, 2002); and investigate flooding causes in a city in south Brazil (COLLISCHONN, 2010). Rainfall estimated by TRMM was validated over the Ethiopian highlands (DINKU et al, 2011) and the Central-West Region of Brazil (DANELICHEN et al, 2013).…”

TRMM Satellite Performance in Estimated Rainfall Over the Midwest Region of Brazil

“…Remote sensing techniques are used to investigate pluviometric regime dynamics for many purposes such as: mapping flood dynamics of the Pantanal with multi-spectral images from radar ALOS/PALSAR and RADARSAT-2 (EVANS et al, 2010), assessing the spatiotemporal dynamics of two sub-regions of the Pantanal biome with rainfall data from TRMM (ADAMI et al, 2008), studying daily variability of rainfall in the Amazon basin with rainfall data estimated by S-POL radar (S-band) algorithm for the 3B42-V6 TRMM satellite (SILVA et al, 2011), evaluate the vegetation response in northeastern Brazil with precipitation data from TRMM and data generated by the Moderate Resolution Imaging Spectroradiometer (MODIS) to Caatinga, Cerrado and forest biomes (ARAI et al, 2009), identifying warm season in urban regions of Atlanta, Georgia, Montgomery, Alabama, Nashville, Tennessee, San Antonio, Waco, Dallas, and Texas from 1998 to 2000 with data from the TRMM and PR radars (SHEPHERD et al, 2002), investigate flooding causes in a city in south Brazil (COLLISCHONN, 2010). Dinku et al (2007) has validated rainfall products of TRMM satellite over the Ethiopian highlands.…”