Assessing NEXRAD P3 Data Effects on Stream-Flow Simulation Using SWAT Model in an Agricultural Watershed

Gali, Rohith K.; Douglas-Mankin, Kyle R.; Li, X.; Xu, Tao

doi:10.1061/(asce)he.1943-5584.0000618

Cited by 14 publications

(12 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, the results highlight the importance of the precipitation input inaccuracy for hydrologic model output. The NEXRAD data set led to an overestimated BFI by up to 23%, which was surprising considering that the level III NEXRAD data have been shown to produce more accurate hydrologic model performance compared to satellite-derived precipitation products, and a better choice for MAP inputs for hydrologic model performance than point gauges [56][57][58]. For example, Tobin and Bennett (2009) [58] used level III NEXRAD data for input into the SWAT model and the results showed that the three day average stream flow was associated with NSE values ranging from 0.60 to 0.88, while the TRMM 3B42 data set yielded more variable results with NSE values ranging from 0.38 to 0.94.…”

Section: Calibrated Model Performancementioning

confidence: 97%

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Zeiger

Hubbart

2017

Water

View full text Add to dashboard Cite

Accurate mean areal precipitation (MAP) estimates are essential input forcings for hydrologic models. However, the selection of the most accurate method to estimate MAP can be daunting because there are numerous methods to choose from (e.g., proximate gauge, direct weighted average, surface-fitting, and remotely sensed methods). Multiple methods (n = 19) were used to estimate MAP with precipitation data from 11 distributed monitoring sites, and 4 remotely sensed data sets. Each method was validated against the hydrologic model simulated stream flow using the Soil and Water Assessment Tool (SWAT). SWAT was validated using a split-site method and the observed stream flow data from five nested-scale gauging sites in a mixed-land-use watershed of the central USA. Cross-validation results showed the error associated with surface-fitting and remotely sensed methods ranging from −4.5% to −5.1%, and −9.8% to −14.7%, respectively. Split-site validation results showed the percent bias (PBIAS) values that ranged from −4.5% to −160%. Second order polynomial functions especially overestimated precipitation and subsequent stream flow simulations (PBIAS = −160) in the headwaters. The results indicated that using an inverse-distance weighted, linear polynomial interpolation or multiquadric function method to estimate MAP may improve SWAT model simulations. Collectively, the results highlight the importance of spatially distributed observed hydroclimate data for precipitation and subsequent steam flow estimations. The MAP methods demonstrated in the current work can be used to reduce hydrologic model uncertainty caused by watershed physiographic differences.

show abstract

Section: Calibrated Model Performancementioning

confidence: 97%

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Zeiger

Hubbart

2017

Water

View full text Add to dashboard Cite

show abstract

“…SWAT takes daily precipitation datasets as input for each subwatershed in the model. Sheshukov et al, 2011), land use dataset developed from CLU field boundary shapefile, and weather data (Gali et al, 2012). An area of the Goose Creek watershed was represented by 5 subwatersheds and 114 HRUs in the model (Figure 1).…”

Section: Swat Modelmentioning

confidence: 99%

“…A baseflow filter program (Arnold and Allen, 1999) was used to adjust baseflow parameters, whereas other parameters were calibrated according to the procedure presented in Gali et al (2012) as classified by Moriasi et al (2007). Daily comparison of observed and modeled stream flow showed that the model captured peaks during summer months with greater accuracy.…”

Section: Swat Modelmentioning

confidence: 99%

Evaluating ephemeral gullies with a process-based topographic index model

Daggupati

Sheshukov

Douglas-Mankin

2014

CATENA

View full text Add to dashboard Cite

“…This limitation can be especially acute in the Great Plains where most surface runoff results from a small number of intense storms (Jones et al, 1985;Fritsch et al, 1986). For these reasons, the U.S. National Weather Service's XMRG precipitation products were utilized (http://www.nws.noaa.gov/oh/hr1/misc/XMRG.pdf, Crum et al, 1998) The NEXRAD-SWAT tool Jayakrishnan et al, 2004;Sexton et al, 2010;Beeson et al, 2011;Gali et al, 2012). Consequently, the biascorrected rainfall was used in this analysis.…”

Section: 31: Data and Modelmentioning

confidence: 99%

Simulating the hydrologic response of a semiarid watershed to switchgrass cultivation

2013

View full text Add to dashboard Cite

The conversion of land from existing uses to biofuel cultivation is expected to increase given concerns about the sustainability of fossil fuel supplies. Nonetheless, research into the environmental impacts of biofuel crops, primarily the hydrological impacts of their cultivation, is in its infancy. To investigate such issues, the response of a 1,649 km2 semiarid basin to the incremental substitution of the widely discussed biofuel candidate switchgrass (Panicum virgatum L.) for native land uses was modeled using the Soil and Water Assessment Tool (SWAT). Median discharges decreased by 5.6–20.6% during the spring and by 6.4–31.2% during the summer, depending on the quantity of acreage converted. These were driven by an increased spring and summer evapotranspiration of 3.4–32.0% and 1.5–18.9%, respectively, depending on the quantity of switchgrass biomass produced. The substitution of switchgrass also resulted in larger quantities of water stress days than in baseline scenarios. The authors encourage the exploration of alternative biofuel crops in semiarid areas to mitigate such negative impacts.

show abstract

Assessing NEXRAD P3 Data Effects on Stream-Flow Simulation Using SWAT Model in an Agricultural Watershed

Cited by 14 publications

References 20 publications

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Evaluating ephemeral gullies with a process-based topographic index model

Simulating the hydrologic response of a semiarid watershed to switchgrass cultivation

Contact Info

Product

Resources

About