Título :	Benefits of the successive GPM based satellite precipitation estimates IMERG–V03, –V04, –V05 and GSMaP–V06, –V07 over diverse geomorphic and meteorological regions of Pakistan
Autor :	Satgé, Frédéric Hussain, Yawar Bonnet, Marie-Paule Hussain, Babar M. Martínez Carvajal, Hernán Eduardo Akhter, Gulraiz Uagoda, Rogério Elias Soares
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-3662-6876 https://orcid.org/0000-0002-4155-6764 https://orcid.org/0000-0002-3950-4041
Assunto::	Precipitação (Meteorologia) - estimativas Paquistão
Fecha de publicación :	2018
Editorial :	MDPI
Citación :	SATGÉ, Frédéric et al. Benefits of the successive GPM based satellite precipitation estimates IMERG–V03, –V04, –V05 and GSMaP–V06, –V07 over diverse geomorphic and meteorological regions of Pakistan. Remote Sensing, v. 10, art. 1373, 2018. DOI: 10.3390/rs10091373. Disponível em: https://www.mdpi.com/2072-4292/10/9/1373. Acesso em: 20 nov. 2019.
Abstract:	Launched in 2014, the Global Precipitation Measurement (GPM) mission aimed at ensuring the continuity with the Tropical Rainfall Measuring Mission (TRMM) launched in 1997 that has provided unprecedented accuracy in Satellite Precipitation Estimates (SPEs) on the near-global scale. Since then, various SPE versions have been successively made available from the GPM mission. The present study assesses the potential benefits of the successive GPM based SPEs product versions that include the Integrated Multi–Satellite Retrievals for GPM (IMERG) version 3 to 5 (–v03, –v04, –v05) and the Global Satellite Mapping of Precipitation (GSMaP) version 6 to 7 (–v06, –v07). Additionally, the most effective TRMM based SPEs products are also considered to provide a first insight into the GPM effectiveness in ensuring TRMM continuity. The analysis is conducted over different geomorphic and meteorological regions of Pakistan while using 88 precipitations gauges as the reference. Results show a clear enhancement in precipitation estimates that were derived from the very last IMERG–v05 in comparison to its two previous versions IMERG–v03 and –v04. Interestingly, based on the considered statistical metrics, IMERG–v03 provides more consistent precipitation estimate than IMERG–v04, which should be considered as a transition IMERG version. As expected, GSMaP–v07 precipitation estimates are more accurate than the previous GSMaP–v06. However, the enhancement from the old to the new version is very low. More generally, the transition from TRMM to GPM is successful with an overall better performance of GPM based SPEs than TRMM ones. Finally, all of the considered SPEs have presented a strong spatial variability in terms of accuracy with none of them outperforming the others, for all of the gauges locations over the considered regions.
Licença::	© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI:	10.3390/rs10091373
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