Impacts of Different Rainfall Estimates on Hydrological Simulation and Satellite Rainfall Retrieval Error Propagation

Meskele, T.; Moradkhani, Hamid

doi:10.1061/41036(342)619

Cited by 1 publication

(4 citation statements)

References 9 publications

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“…The watershed has an area of 1232 km 2 . The USGS 08167500 stream gauge located near Spring Branch, Texas was selected as an outlet for this watershed (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

“…These products are suitable for fully distributed hydrologic models when rain gauges are nonexistent or sparse, especially in developing countries [2]. However, satellites have their own errors in estimating rainfall information, as many of these satellites have been in use since 1970.…”

Section: Introductionmentioning

confidence: 99%

“…Accurate estimates of precipitation at different spatial and temporal scales are needed not only by weather forecasters and climate scientists, but also by hydrologists, agricultural engineers, and emergency personnel for a variety of application [1,2]. Rainfall is a key hydrologic variable for estimating the hydrologic response of a watershed as links the atmosphere with land surface processes.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous researches have used different rain gauge and remote sensing precipitation datasets in hydrologic modeling, such as NEXRAD Stage ІІІ, Multi Sensor Precipitation Estimator (MPE), Tropical Measuring Mission (TRMM), Precipitation Estimation from Remotely Sensed Information (PERSIANN), and CPC MORPHing Technique (CMORPH), in various regions of the world (e.g., [1,2,4,6,7,[24][25][26][27][28][29][30][31][32]). However, these studies do not agree on what the best precipitation data set is for hydrologic modeling.…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity of Distributed Hydrologic Simulations to Ground and Satellite Based Rainfall Products

Chintalapudi

Sharif

Xie

2014

Water

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Abstract:In this study, seven precipitation products (rain gauges, NEXRAD MPE, PERSIANN 0.25 degree, PERSIANN CCS-3hr, PERSIANN CCS-1hr, TRMM 3B42V7, and CMORPH) were used to force a physically-based distributed hydrologic model. The model was driven by these products to simulate the hydrologic response of a 1232 km 2 watershed in the Guadalupe River basin, Texas. Storm events in 2007 were used to analyze the precipitation products. Comparison with rain gauge observations reveals that there were significant biases in the satellite rainfall products and large variations in the estimated amounts. The radar basin average precipitation compared very well with the rain gauge product while the gauge-adjusted TRMM 3B42V7 precipitation compared best with observed rainfall among all satellite precipitation products. The NEXRAD MPE simulated streamflows matched the observed ones the best yielding the highest Nash-Sutcliffe Efficiency correlation coefficient values for both the July and August 2007 events. Simulations driven by TRMM 3B42V7 matched the observed streamflow better than other satellite products for both events. The PERSIANN coarse resolution product yielded better runoff results than the higher resolution product. The study reveals that satellite rainfall products are viable alternatives when rain gauge or ground radar observations are sparse or non-existent.

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“…The watershed has an area of 1232 km 2 . The USGS 08167500 stream gauge located near Spring Branch, Texas was selected as an outlet for this watershed (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%