Gridded Surface Subsurface Hydrologic Analysis (GSSHA) User's Manual; Version 1.43 for Watershed Modeling System 6.1

Downer, Charles W.; Ogden, Fred L.

doi:10.21236/ada455335

Cited by 68 publications

(72 citation statements)

References 61 publications

(113 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Values of short-wave albedo, vegetation height, vegetation transmission coefficient, and canopy resistance were assigned based on land-use classification. Initial values for these and other parameters are available from a variety of published sources as provided in the GSSHA users manual (Downer and Ogden 2006).…”

Section: Model Applicationmentioning

confidence: 99%

Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Downer¹

2008

Self Cite

View full text Add to dashboard Cite

PURPOSE:The purpose of this System-Wide Water Resources (SWWRP) technical note is to describe the application of the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model at the Goodwin Creek Experimental Watershed (GCEW). The purpose of applying the model at this site was to confirm that the hydrologic portions of the code were working properly and were able to achieve accurate results. Application of GSSHA at this site also allows the current model to be compared and contrasted with the performance of previous versions of the model. BACKGROUND:GSSHA is a physics-based, distributed-parameter, hydrology and transport code. As part of SWWRP, the GSSHA model has undergone a series of major improvements and additions including changes to the stream hydraulics, soil moisture accounting, and sediment transport portions of the model. While these additions and improvements enhance the model's ability to perform additional analysis, it is essential that the new methods and enhanced model be tested to assure that the model is functioning as desired and that the model can reproduce historic results at an equal or superior level to previous versions of GSSHA.

show abstract

Section: Model Applicationmentioning

confidence: 99%

Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Downer¹

2008

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using the OAT method, each calibrated parameter was changed by a small amount at a time from a reference (i.e., base) value while keeping the remaining parameters constant, and then the corresponding change in the modeling output (i.e., mean monthly groundwater contribution to stream flow) was computed. The GSSHA model estimates monthly total volume of stream discharge (flow) and groundwater discharge [49], and then the mean monthly groundwater contribution to stream flow was calculated by dividing monthly total volume of groundwater discharge by monthly total volume of stream discharge. This procedure was repeated for three times, and every time the calibrated parameter was increased and decreased by a factor of 20% of the reference value.…”

Section: Sensitivity Analysis Of Gw-sw Interactionmentioning

confidence: 99%

Understanding the Effects of Parameter Uncertainty on Temporal Dynamics of Groundwater-Surface Water Interaction

Saha

Thring

2017

Hydrology

View full text Add to dashboard Cite

This study presents the understanding of temporal dynamics of groundwater-surface water (GW-SW) interaction due to parameter uncertainty by using a physically-based and distributed gridded surface subsurface hydrologic analysis (GSSHA) model combined with a Monte Carlo simulation. A study area along the main stem of the Kiskatinaw River of the Kiskatinaw River watershed, Northeast British Columbia, Canada, was used as a case study. Two different greenhouse gas (GHG) emission scenarios (i.e., A2: heterogeneous world with self-reliance and preservation of local identities, and B1: a more integrated and environmental-friendly world) of the Special Report on Emissions Scenarios (SRES) from the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) for 2013 were used as case scenarios. Before conducting uncertainty analysis, a sensitivity analysis was performed to find the most sensitive parameters to the model output (i.e., mean monthly groundwater contribution to stream flow). Then, a Monte Carlo simulation was used to conduct the uncertainty analysis. The uncertainty analysis results under both case scenarios revealed that the pattern of the cumulative relative frequency distribution of the mean monthly and annual groundwater contributions to stream flow varied monthly and annually, respectively, due to the uncertainties of the sensitive model parameters. In addition, the pattern of the cumulative relative frequency distribution of a particular month's groundwater contribution to the stream flow differed significantly between both scenarios. These results indicated the complexities and uncertainties in the GW-SW interaction system. Therefore, it is of necessity to use such uncertainty analysis results rather than the point estimates for better water resources management decision-making.

show abstract

“…On the other hand, groundwater discharge and surface runoff during 2020-2040 in both scenarios were estimated using the developed GSSHA model. The GSSHA model estimates monthly total volume of groundwater discharge and surface runoff, and based on those values the mean monthly groundwater discharge and surface runoff were calculated [49].…”

Section: Estimation Of Groundwater Discharge and Surface Runoffmentioning

confidence: 99%

Climate Change Induced Precipitation Effects on Water Resources in the Peace Region of British Columbia, Canada

Saha

2015

Climate

View full text Add to dashboard Cite

Climate change would significantly affect the temporal pattern and amount of annual precipitation at the regional level, which in turn would affect the regional water resources and future water availability. The Peace Region is a critical region for northern British Columbia's social, environmental, and economic development, due to its potential in various land use activities. This study investigated the impacts of future climate change induced precipitation on water resources under the A2 and B1 greenhouse gas emission scenarios for 2020-2040 in a study area along the main river of the Kiskatinaw River watershed in the Peace Region as a case study using the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) modeling system. The simulation results showed that climate change induced precipitation changes significantly affect monthly, seasonal and annual stream flows. With respect to the mean annual stream flow of the reference period (2000-2011), the mean annual stream flow from 2020 to 2040 under the A2 and B1 scenarios is expected to increase by 15.5% and 12.1%, respectively, due to the increased precipitation (on average 5.5% in the A2 and 3.5% in the B1 scenarios) and temperature (on average 0.76 °C in the A2 and 0.57 °C in the B1 scenarios) predicted, with respect to that under the reference period. From the seasonal point of view, the mean seasonal stream flow during winter, spring, summer and fall from 2020 to 2040 under the A2 scenario is expected to increase by 10%, 16%, 11%, and 11%, respectively. On the other hand, under the B1 scenario these numbers are 6%, 15%, 6%, and 8%, respectively. Increased precipitation also resulted in increased groundwater discharge and surface runoff. The obtained results from this study will provide valuable information for the study area in the long-term period for seasonal and annual water extractions from the river and allocation to the stakeholders for future water supply, and help develop a regional water resources management plan for climate change induced precipitation changes. OPEN ACCESS Climate 2015, 3 265

show abstract

Gridded Surface Subsurface Hydrologic Analysis (GSSHA) User's Manual; Version 1.43 for Watershed Modeling System 6.1

Cited by 68 publications

References 61 publications

Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Demonstration of GSSHA Hydrology at Goodwin Creek Experimental Watershed

Understanding the Effects of Parameter Uncertainty on Temporal Dynamics of Groundwater-Surface Water Interaction

Climate Change Induced Precipitation Effects on Water Resources in the Peace Region of British Columbia, Canada

Contact Info

Product

Resources

About