AVALIAÇÃO DA CONFORMIDADE DOS DADOS DE PRECIPITAÇÃO DO GPM (GLOBAL PRECIPITATION MEASUREMENT) COM ESTAÇÕES PLUVIOMÉTRICAS NO ESTADO DE SÃO PAULO EM 2017

Abstract

T Precipitation is a very important variable for the hydrological cycle and although it is a phenomenon very present in nature, its characteristic of variability and randomness requires studies and deep analyzes in order to improve the knowledge about it. The beginning of the entire precipitation study process is based on the precise measurement of the variable in order to obtain representative series with reliable data that can represent the nature of the events in a more rigorous way. To measure precipitation, field instruments, radars and remote sensing are used. In order to overcome the errors and the lack of representativity of field data and radars, the use of remote sensing has been widespread in recent decades in science, and one of the most relevant products in this area is GPM (Global Precipitation Measurement). The GPM is a space mission launched from an agreement between NASA (National Aeronautics and Space Administration) and JAXA (Japan Aerospace eXploration Agency) that seeks, since 2014, to generate precipitation data for the world. The methodology was used to evaluate the conformity of the data provided by the IMERG (Integrated Multi-satellitE Retrievals for GPM) algorithm on a monthly scale when compared to the field data obtained through CEMADEN (Centro Nacional de Monitoramento e Alertas de Desastres Naturais) for the state of São Paulo in the year 2017. The main conclusions of the study indicate that the IMERG data showed good compliance in a large part of the study area analyzed and that the number of stations within a pixel does not influence quality improvement when comparing the two sources of information.