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Remote Sens. 2017, 9(4), 369; doi:10.3390/rs9040369

Comparative Assessments of the Latest GPM Mission’s Spatially Enhanced Satellite Rainfall Products over the Main Bolivian Watersheds

1
Instituto de Geociência (IG), Universidade de Brasília, 70910-900 Brasília-DF, Brasil
2
Mixed Laboratory International, Observatory for Environmental Change (LMI-OCE), IRD/UnB, Campus Darcy Ribeiro, 70910-900 Brasília-DF, Brasil
3
Instituto de Hidráulica e Hidrología (IHH), Universidad Mayor de San Andrés, La Paz, Bolivia
4
Departamento de Engenharia Civil e Ambiental, Universidade de Brasilia, 70910-900 Brasília-DF, Brasil
5
Géosciences Environnement Toulouse (GET) (UMR 5563, IRD, CNRS), Université Paul Sabatier, 31062 Toulouse, France
6
Espace Développement (ESPACE-DEV) (UMR 228, IRD), 34093 Montpellier, France
*
Author to whom correspondence should be addressed.
Academic Editors: Magaly Koch and Prasad S. Thenkabail
Received: 7 February 2017 / Revised: 4 April 2017 / Accepted: 9 April 2017 / Published: 13 April 2017
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Abstract

The new IMERG and GSMaP-v6 satellite rainfall estimation (SRE) products from the Global Precipitation Monitoring (GPM) mission have been available since January 2015. With a finer grid box of 0.1°, these products should provide more detailed information than their latest widely-adapted (relatively coarser spatial scale, 0.25°) counterpart. Integrated Multi-satellitE Retrievals for GPM (IMERG) and Global Satellite Mapping of Precipitation version 6 (GSMaP-v6) assessment is done by comparing their rainfall estimations with 247 rainfall gauges from 2014 to 2016 in Bolivia. The comparisons were done on annual, monthly and daily temporal scales over the three main national watersheds (Amazon, La Plata and TDPS), for both wet and dry seasons to assess the seasonal variability and according to different slope classes to assess the topographic influence on SREs. To observe the potential enhancement in rainfall estimates brought by these two recently released products, the widely-used TRMM Multi-satellite Precipitation Analysis (TMPA) product is also considered in the analysis. The performances of all the products increase during the wet season. Slightly less accurate than TMPA, IMERG can almost achieve its main objective, which is to ensure TMPA rainfall measurements, while enhancing the discretization of rainy and non-rainy days. It also provides the most accurate estimates among all products over the Altiplano arid region. GSMaP-v6 is the least accurate product over the region and tends to underestimate rainfall over the Amazon and La Plata regions. Over the Amazon and La Plata region, SRE potentiality is related to topographic features with the highest bias observed over high slope regions. Over the TDPS watershed, the high rainfall spatial variability with marked wet and arid regions is the main factor influencing SREs. View Full-Text
Keywords: IMERG; GSMaP; TMPA; Bolivia; assessment; GPM IMERG; GSMaP; TMPA; Bolivia; assessment; GPM
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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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MDPI and ACS Style

Satgé, F.; Xavier, A.; Pillco Zolá, R.; Hussain, Y.; Timouk, F.; Garnier, J.; Bonnet, M.-P. Comparative Assessments of the Latest GPM Mission’s Spatially Enhanced Satellite Rainfall Products over the Main Bolivian Watersheds. Remote Sens. 2017, 9, 369.

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