Validating NEXRAD MPE and Stage III precipitation products for uniform rainfall on the Upper Guadalupe River Basin of the Texas Hill Country

Wang, Xianwei; Xie, Hongjie; Sharif, Hatim O.; Zeitler, Jon W.

doi:10.1016/j.jhydrol.2007.09.057

Cited by 60 publications

(48 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous studies have conducted inter-comparisons between MPE precipitation estimates and rain gauge observations (e.g., [4,[15][16][17][18][19][20][21]). These studies showed that the calibrated radar products such as NEXRAD Stage ІІІ and MPE yielded more accurate streamflows than the rain gauge network alone.…”

Section: Introductionmentioning

confidence: 99%

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

Chintalapudi

Sharif

Xie

2014

Water

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Chintalapudi

Sharif

Xie

2014

Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is calculated in percentage and is defined as: Satellite conditional probability of detection (CPOD_S) is the measure of probability that precipitation recorded by a gauge is detected by the satellite (Wang 2008). The following equation is used to compute this probability:…”

Section: Methodsmentioning

confidence: 99%

Satellite-Based Precipitation Estimation for Hydropower Development

Tamrakar

Alfredsen

2013

Hydro Nepal

View full text Add to dashboard Cite

Runoff is one of the major factors that govern the capacity of a hydropower project. Precipitation data are needed for estimation of runoff through runoff simulation using a hydrological model. Dense setup of rain gauge network in a mountainous topography is difficult and expensive. An alternative for this problem is the use of Satellite precipitation data with high spatial and temporal resolution. They have an additional advantage that they represent areal precipitation. But, these data should be duly evaluated before using them. In this study, Tropical Rainfall Measuring Mission (TRMM 3B42) precipitation data are evaluated using ground based precipitation stations over Nepal and fed in a rainfall-runoff model to estimate monthly discharge through four of the major basins of Nepal. A simple water balance model has been used, initially developed by Thornthwaite. Statistical parameters showed significant under-estimation of precipitation over major areas of Nepal. The results from the water balance model presented quiet a good estimation of discharge through basins with an average Nash Sutcliffe Efficiency (R²) value of 0.8. This implies that TRMM data can be used for runoff simulations over Nepal. The TRMM satellite data can be used during the planning stage of hydropower projects as well as on ungauged catchments.

show abstract

“…Efforts for validation of the NEXRAD Stage III precipitation have been carried out in many regions and different climate regimes (Smith et al 1996;Young et al 2000;Jayakrishnan et al 2004;Xie et al 2006). A recent study in the San Antonio/Guadalupe River basin using 50 high-quality rain gauges to validate the NEXRAD MPE (Stage III) precipitation of 2004, observed a correlation coefficient (r) of 0.80 for the entire year and 0.96 for the NEXRAD grid cell area where spatially uniform precipitation events occurred (Wang et al 2008). In this study, a physically-based parsimonious multivariate-regression algorithm (see Appendix) was used to interpolate the hourly 4-km NEXRAD precipitation between 2004 and 2007 to hourly 0.9 km to drive the Noah LSM.…”

Section: The Noah Land Surface Model and Nexrad Precipitationmentioning

confidence: 99%

“…3. The NEXRAD precipitation can well record the rainfall events that occurred in this region (Wang et al 2008). Together with the daily river flow observation from USGS and the NARR data, they construct high quality datasets used for the river flow calibration.…”

Section: The Noah Land Surface Model and Nexrad Precipitationmentioning

confidence: 99%

A method to study the impact of climate change on variability of river flow: an example from the Guadalupe River in Texas

Yang

2012

Climatic Change

View full text Add to dashboard Cite

This work introduced a method to study river flow variability in response to climate change by using remote sensing precipitation data, downscaled climate model outputs with bias corrections, and a land surface model. A meteorological forcing dataset representing future climate was constructed via the delta change method in which the modeled change was added to the present-day conditions. The delta change was conducted at a fine spatial and temporal scale to contain the signals of weather events, which exhibit substantial responses to climate change. An empirical transformation technique was further applied to the constructed forcing to ensure a realistic range. The meteorological forcing was then used to drive the land surface model to simulate the future river flow. The results show that preserving fine-scale processes in response to climate change is a necessity to assess climatic impacts on the variability of river flow events.

show abstract

Validating NEXRAD MPE and Stage III precipitation products for uniform rainfall on the Upper Guadalupe River Basin of the Texas Hill Country

Cited by 60 publications

References 19 publications

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

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

Satellite-Based Precipitation Estimation for Hydropower Development

A method to study the impact of climate change on variability of river flow: an example from the Guadalupe River in Texas

Contact Info

Product

Resources

About