WMS is a graphical user interface (GUI) used in the development of inputs and visualization of outputs for watershed, hydraulic, and storm drain models. WMS supports most commonly applied hydrologic models, including the USACE GSSHA model. WMS is developed and distributed by Aquaveo, LLC.
Current Release -v11.1
Keywords
GUI, Hydrology, Hydraulics, Visualization, Watershed
Charles.w.downer@usace.army.mil
WMS is a product of Aquaveo LLC. The DoD and DoT have free access to the executable. Aquaveo distributes the model commercially. ERDC has access to the Aquaveo source code under a cooperative research agreement. Otherwise, the source code is not available.
The WMS executable can be obtained here: https://www.aquaveo.com/downloads
WMS must be used in the Windows 64 bit operating environment.
Tech Reports
- Final report submitted to the Navy Facilities Engineering Command (Navfac) Hawaii for submission to the Hawaii DoH. North Fork of Kaukonahua Stream Total Maximum Daily Load (TMDL) Compliance Report Wahiawa Annex, Joint Base Pearl Harbor-Hickam. January, 2017.
- Downer, C.W., J. A. Graulau-Santiago, B. E. Skahill, D. M. Weston, N. R. Pradhan and A. R. Byrd, 2016. Gridded Surface Subsurface Hydrologic Analysis Modeling for Analysis of Flood Design Features at the Picayune Strand Restoration Project. ERDC TR-16-7. U. S. Army Engineer Research and Development Center, Vicksburg, MS.
- Pradhan, N. R., C. W. Downer, S. Marchenko, A. Liljedahl, T. A. Douglas, and A. Byrd. 2013. Development of a coupled framework for simulating interactive effects of frozen soil hydrological dynamics in permafrost regions, ERDC TR-13-15. U. S. Army Engineer Research and Development Center, Vicksburg, MS.
- Downer, C. W., M. Wahl, N.R. Pradhan; B. Skahill, S. Turnbull; R. Pickett, 2020. Nested Physics-Based Watershed Modeling at Seven Mile Creek Minnesota River Integrated Watershed Study. ERDC/CHL TR-20-3
- Ralph, F. M., Woodside, G., Anderson, M., Cleary-Rose, K., Haynes, A., Jasperse, J., Sweeten,J., Talbot, C.,Tyler, J.,Vermeeren, R. (2021). Prado Dam Forecast Informed Reservoir Operations Preliminary Viability Assessment. UC San Diego. Retrieved from https://escholarship.org/uc/item/13091539
- Pradhan, N.R., C. W. Downer, S. N. Sinclair, and C. Lahatte, 2018. Simulation of Coastal Storm Surge and Rainfall Flooding Scenarios at Camp Lejeune with GSSHA ERDC/CHL CHETN-I-96. http://dx.doi.org/10.21079/11681/33185
- USACE, 2020. SUPPLEMENTAL ENVIRONMENTAL ASSESSMENT AND PROPOSED FINDING OF NO SIGNIFICANT IMPACT PICAYUNE STRAND RESTORATION PROJECT SOUTHWEST PROTECTION FEATURE, ADDITIONAL CONVEYANCE FEATURES, AND PARTIAL PLUGGING OF THE FAKA UNION CANAL.
- USACE ERDC, 2015. Sampling and Simulation of Water, Sediments, and Nutrients in the Waikele Stream Watershed for the Development of TMDLs and Management Measures at
- USACE ERDC, 2017. North Fork of Kaukonahua Stream
- Jasperse, J., Ralph, F. M., Anderson, M., Brekke, L., Malasavage, N., Dettinger, M. D., Forbis, J., Fuller, J., Talbot, C., Webb, R., & Haynes, A. (2020). Lake Mendocino Forecast Informed Reservoir Operations Final Viability Assessment. UC San Diego. https://escholarship.org/uc/item/3b63q04n.
- Ralph, F. M., Woodside, G., Anderson, M., Cleary-Rose, K., Haynes, A., Jasperse, J., Sweeten,J., Talbot, C.,Tyler, J.,Vermeeren, R. (2021). Prado Dam Forecast Informed Reservoir Operations Preliminary Viability Assessment. UC San Diego. Retrieved from https://escholarship.org/uc/item/13091539
- Schofield Army Barracks and Wheeler Army Airfield. Total Maximum Daily Load (TMDL) Compliance Report Wahiawa Annex, Joint Base Pearl Harbor-Hickam
Papers
- Sith, R. and K. Nadoaka 2017. Comparison of SWAT and GSSHA for high time resolution prediction of stream flow and sediment concentration in a small agricultural watershed. Hydrology 4(2).
- Alireza Mohebzadeh Fattahi· Khosrow Hosseini · Saeed Farzin · Sayed‑Farhad Mousavi, 2023. An innovative approach of GSSHA model in flood analysis of large watersheds based on accuracy of DEM, size of grids, and stream density. Applied Water Science (2023) 13:33 https://doi.org/10.1007/s13201-022-01838-6
- Daniel J. Reinartz, 2016. Parameterization of Green & Ampt Infiltration Parameters for Use in the GSSHA Distributed Rainfall Runoff Model, 2016 10th International Drainage Symposium Conference, 6-9 September 2016, Minneapolis, Minnesota .(doi:10.13031/IDS.20162493623)
- Brendel, Conrad; Dymond, Randel;Aguilar, Marcus. 2021. Modeling Storm Sewer Networks and Urban Flooding in Roanoke, Virginia, with SWMM and GSSHA Journal of Hydrologic Engineering V(26) 10.1061/(ASCE)HE.1943-5584.0002021. Pradhan, N. R., C. W. Downer, Sergei Marchenko, 2019. Catchment hydrological modeling with soil thermal dynamics during seasonal freeze-thaw cycles. Water, 11(1), 116; https://doi.org/10.3390/w11010116
- Follum, M. L., J. d. Neimann, J. Parno, C. W. Downer, 2017. A Simple Temperature-Based Method to Estimate Heterogeneous Frozen Ground within a Distributed Watershed Model. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-345
- Downer, C. W., N. R. Pradhan, F. L. Ogden, and A. R. Byrd, 2014. Testing the effects of detachment limits and transport capacity formulation on sediment runoff predictions using the US Army Corps of Engineers GSSHA model. JHE, 04014082 1-11, doi: 10.1061/(ASCE)HE.1943-5584.0001104.
- Johnson, B. E., Z. Zhang, and C. W. Downer, 2013. Watershed scale physically based water flow, sediment and nutrient dynamic modeling system, in Landscape Ecology for Sustainable Environment and Culture. Editor(s): Bojie Fu and K. Bruce Jones, Springer Publishing, ISBN 978-94-007-6529-0, Chapter 8, pp 145-171.
- Nawa Raj Pradhan, Charles W. Downer and Sergei Marchinko (March 9th 2019). Process Modeling of Soil Thermal and Hydrological Dynamics [Online First], IntechOpen, DOI: 10.5772/intechopen.84414. Available from: https://www.intechopen.com/online-first/process-modeling-of-soil-thermal-and-hydrological-dynamics
- Pradhan, N. R., C. W. Downer, and B. E. Johnson, 2014. A Physics Based Hydrologic Modeling Approach to Simulate Non-point Source Pollution for the Purposes of Calculating TMDLs and Designing Abatement Measures, Chapter 9 in Practical Aspects of Computational Chemistry-III, DOI 10.1007/978-1-4899-7445-7_1, J. Leszczynski and M. K. Shukla, eds. Springer Science+Business Media, New York.
- Johnson, B. E., Z. Zhang, and C. W. Downer, 2013. Watershed scale physically based water flow, sediment and nutrient dynamic modeling system, in Landscape Ecology for Sustainable Environment and Culture. Editor(s): Bojie Fu and K. Bruce Jones, Springer Publishing, ISBN 978-94-007-6529-0, Chapter 8, pp 145-171.
- Pradhan, N. R., C. W. Downer, Sergei Marchenko, 2019. Catchment hydrological modeling with soil thermal dynamics during seasonal freeze-thaw cycles. Water, 11(1), 116; https://doi.org/10.3390/w11010116
- Sharif, H. O., M. Al-Zahrani, and A. El Hassan, 2017. Physically, fully-distributed hydrologic simulations driven by GPM satellite rainfall over an urbanizing arid catchment in Saudi Arabia, Water 2017, 9, 163.
- Yang, L., J. A. Smith, M. L. Baeck, and Y. Zhang (2016), Flash flooding in small urban watersheds: Storm eventhydrologic response, Water Resour. Res., 52, 4571–4589, doi:10.1002/ 2015WR018326.
- F. L. Ogden, 2016. Evidence of equilibrium peak runoff rates in steep tropical terrain on the island of Dominica during Tropical Storm Erika, August 27, 2015 Journal of Hydrology 542 (2016) 35–46.
- Zhang, Yu and William Shuster, 2013. The Comparative Accuracy of Two Hydrologic Models in Simulating Warm-Season Runoff for Two Small, Hillslope Catchments. Journal of the American Water Resources Association (JAWRA) 1-14. DOI: 10.1111/jawr.12135
- Zhang, Yu and W. Shuster, 2013. The impacts of distribution of impervious area on runoff response of hillslope catchments – A simulation Study, J. Hydrology doi:10.1061/(ASCE)HE.1943-5584.0000905
- Sharif, H. O., S. Chintalapudi2, A. A. Hassan; H. Xie4; and J. Zeitler, 2013. Physically Based Hydrological Modeling of the 2002 Floods in San Antonio, Texas, J. Hydrology Engineering (18) 2.
- C. Furl, D. Ghebreyesus and H.O. Sharif, 2018. Assessment of the Performance of Satellite-Based Precipitation Products for Flood Events across Diverse Spatial Scales Using GSSHA Modeling System, Geosciences 2018, 8, 191.
- Murtada, S., D. Reinartz, and S. Kloiber, 2022. Simulating the Water Storage Benefits of Cover Crops Using the Gridded Surface Subsurface Hydrological Analysis (GSSHA) Model. American Institute of Hydrology. https://www.aihydrology.org/simulating-the-water-storage-benefits-of-cover-crops-using-the-gridded-surface-subsurface-hydrological-analysis-gssha-model/
- Jang, S. K., and K. D. Oh, 2020. Application of the GSSHA model for the long-term simulation of discharge and water quality at the Peace dam. Journal of the Korea Water Resources Association 53, 5, 357-367 https://doi.org/10.3741/JKWRA.2020.53.5.357
- Giacomoni, M., Olivera, F., & do Lago, C. (2019). Assessing the Impacts of Super Storm Flooding in the Transportation Infrastructure – Case Study: San Antonio, Texas. Retrieved from https://digitalcommons.lsu.edu/transet_pubs/42
- Downer, C. W., N. R. Pradhan, F. L. Ogden, and A. R. Byrd, 2014. Testing the effects of detachment limits and transport capacity formulation on sediment runoff predictions using the US Army Corps of Engineers GSSHA model. JHE, 04014082 1-11, doi: 10.1061/(ASCE)HE.1943-5584.0001104.
Model test cases are available on the WMS training website https://www.aquaveo.com/software/wms-learning-tutorials
Results are available on the WMS training website https://www.aquaveo.com/software/wms-learning-tutorials
There is a blog for discussion of the WMS software here: https://www.aquaveo.com/blog-tags/wms
WMS does not support necessarily support every hydrologic model. Check the list of models supported by WMS here: https://www.aquaveo.com/software/wms-watershed-modeling-system-introduction. WMS may not support every input type for all models supported by the GUI. Additional tools, such as spreadsheets or text editors may be required to develop some of these inputs. While WMS supports many GIS functions, WMS is not a GIS and does not replace tools such as ArcMap or ArcInfo.