Articles | Volume 21, issue 7
Hydrol. Earth Syst. Sci., 21, 3543–3555, 2017

Special issue: Observations and modeling of land surface water and energy...

Hydrol. Earth Syst. Sci., 21, 3543–3555, 2017
Research article
14 Jul 2017
Research article | 14 Jul 2017

Hydrological modeling of the Peruvian–Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset

Ricardo Zubieta et al.

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Cited articles

Boyle, D. P., Gupta, H. V., and Sorooshian, S.: Toward improved calibration of hydrologic models: combining the strengths of manual and automatic methods, Water Resour. Res., 36, 3663–3674, 2000.
Brunet-Moret, Y.: Homogénéisation des précipitations. Cahiers ORSTOM, Série Hydrologie, 16, 3–4, 1979.
Collischonn, W.: Hydrologic simulation of large basins (in Portuguese), PhD Thesis, Inst. de Pesqui. Hidraul., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil, 2001.
Collischonn, W., Allasia, D. G., Silva, B. C., and Tucci, C. E. M.: The MGB-IPH model for large-scale rainfall-runoff modeling, J. Hydrol. Sci., 52, 878–895,, 2007.
Collischonn, B., Collischonn, W., and Tucci, C .: Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates, J. Hydrol., 360, 207–216,, 2008.
Short summary
This paper indicates that precipitation data derived from GPM-IMERG correspond more closely to TMPA V7 than TMPA RT datasets, but both GPM-IMERG and TMPA V7 precipitation data tend to overestimate, in comparison to observed rainfall (by 11.1 % and 15.7 %, respectively). Statistical analysis indicates that GPM-IMERG is as useful as TMPA V7 or TMPA RT datasets for estimating observed streamflows in Andean–Amazonian regions (Ucayali Basin, southern regions of the Amazon Basin of Peru and Ecuador).