Salles L. auteur aut IRD Satgé Frédéric auteur aut IRD Roig H. auteur aut IRD Almeida T. auteur aut IRD Olivetti D. auteur aut IRD Ferreira W. auteur aut IRD text journalArticle eng text/pdf reformatted digital access This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 degrees spatial resolution and for a 0.25 degrees grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG's precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product. specialized IMERG GSMaP GPM TMPA TRMM Satellite precipitation Cerrado biome BRESIL 062 126 11 4 art. 668 [18 p.] 2019 2073-4441 https://www.documentation.ird.fr/hor/fdi:010076193 10.3390/w11040668 2073-4441 [F B010076193] https://www.documentation.ird.fr/hor/fdi:010076193 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers19-07/010076193.pdf IRD - Base Horizon / Pleins textes 2019-08-05 2025-02-24 fdi:010076193 fre