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Seasonal Effect on Spatial and Temporal Consistency of the New GPM-Based IMERG-v5 and GSMaP-v7 Satellite Precipitation Estimates in Brazil’s Central Plateau Region

1
Instituto de Geociências (IG/UnB), Universidade de Brasília, CEP: 70910-900 Brasília-DF, Brazil
2
Instituto Brasília Ambiental de Recursos Hídricos do Distrito Federal (IBRAM/DF), SEPN 511-Bloco C-Edifício Bittar-CEP: 70.750-543 Brasília-DF, Brazil
3
IRD, UMR 228 Espace-Dev, Maison de la télédétection, 500 rue JF Breton, 34093 Montpellier CEDEX 5, France
4
Agência Reguladora de Águas, Energia e Saneamento do Distrito Federal (ADASA/DF), Saa Estação Rodo-Ferroviária de Brasília - Ala Norte, CEP: 70.631-900 Brasília-DF, Brazil
*
Author to whom correspondence should be addressed.
Water 2019, 11(4), 668; https://doi.org/10.3390/w11040668
Received: 28 February 2019 / Revised: 18 March 2019 / Accepted: 20 March 2019 / Published: 31 March 2019
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Abstract

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° spatial resolution and for a 0.25° 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. View Full-Text
Keywords: IMERG; GSMaP; GPM; TMPA; TRMM; Satellite precipitation; Cerrado biome IMERG; GSMaP; GPM; TMPA; TRMM; Satellite precipitation; Cerrado biome
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Salles, L.; Satgé, F.; Roig, H.; Almeida, T.; Olivetti, D.; Ferreira, W. Seasonal Effect on Spatial and Temporal Consistency of the New GPM-Based IMERG-v5 and GSMaP-v7 Satellite Precipitation Estimates in Brazil’s Central Plateau Region. Water 2019, 11, 668.

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