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Remote Sensing
Volume 10
Issue 2
10.3390/rs10020313
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Article

Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State—Brazil

by
Sulimar Munira Caparoci Nogueira
1,*,
Maurício Alves Moreira
1 and
Margarete Marin Lordelo Volpato
2
1
Remote Sensing Division, National Institute for Space Research—INPE, São José dos Campos 12227-010, SP, Brazil
2
Agricultural Research Company of Minas Gerais, Minas Gerais—EPAMIG, Lavras 37200000, MG, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 313; https://doi.org/10.3390/rs10020313
Received: 8 January 2018 / Revised: 28 January 2018 / Accepted: 16 February 2018 / Published: 18 February 2018
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Abstract

Precipitation estimates derived from the Eta model and from TRMM (Tropical Rainfall Measuring Mission) and CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) remotely sensed data were compared to the precipitation data of the INMET (National Institute of Meteorology) meteorological stations in the south-southeast region of Minas Gerais state, Brazil, in the period between July 2009 and June 2015. Then, information about evapotranspiration (ETR), water deficit (DEF), and water surplus (EXC) was obtained from the precipitation data, using the sequential water balance (SWB) separately for each type of precipitation data (INMET, TRMM, Eta, and CHIRPS). Subsequently, the components of the SWB were comparatively analyzed. The results indicate that all three products overestimate rainfall. The strongest relationships between the INMET data and the estimated data were observed for the TRMM, in terms of precipitation estimates, as well as DEF, EXC, and ETR components. The Eta precipitation estimates are overestimated relative to those from INMET, resulting in underestimation of the water deficit (DEFETA) and overestimation of evapotranspiration (ETRETA). In general, the CHIRPS data presented a pattern similar to the station data, though statistical analyses were lower than those of the TRMM data. View Full-Text
Keywords: water deficit; 3B42; Evapotranspiration water deficit; 3B42; Evapotranspiration
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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
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MDPI and ACS Style

Caparoci Nogueira, S.M.; Moreira, M.A.; Lordelo Volpato, M.M. Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State—Brazil. Remote Sens. 2018, 10, 313. https://doi.org/10.3390/rs10020313

AMA Style

Caparoci Nogueira SM, Moreira MA, Lordelo Volpato MM. Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State—Brazil. Remote Sensing. 2018; 10(2):313. https://doi.org/10.3390/rs10020313

Chicago/Turabian Style

Caparoci Nogueira, Sulimar M., Maurício A. Moreira, and Margarete M. Lordelo Volpato 2018. "Evaluating Precipitation Estimates from Eta, TRMM and CHRIPS Data in the South-Southeast Region of Minas Gerais State—Brazil" Remote Sensing 10, no. 2: 313. https://doi.org/10.3390/rs10020313

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