WEPPcloud References
Peer-Reviewed Journal Articles
Brooks E.S., Dobre M., Elliot W.J., Wu J.Q., Boll J. 2016. Watershed-scale evaluation of the Water Erosion Prediction Project (WEPP) model in the Lake Tahoe basin. Journal of Hydrology, 533, 389-402.
Cannon S.H., Gartner J.E., Rupert M.G., Michael J.A., Rea A.H., Parrett C. 2010. Predicting the probability and volume of postwildfire debris flows in the intermountain western United States. GSA Bulletin, 122(1/2), 127-144.
Cochrane T.A., Flanagan D.C. 2005. Effect of DEM resolutions in the runoff and soil loss predictions of the WEPP watershed model. Transactions of the ASAE, 48(1), 109-120.
Deval, C., Brooks, E. S., Dobre, M., Lew, R., Robichaud, P. R., Fowler, A., Boll, J., Easton, Z. M., & Collick, A. S. (2022). Pi-VAT: A web-based visualization tool for decision support using spatially complex water quality model outputs. Journal of Hydrology, 607, 127529. DOI. PDF
Dobre, M., Srivastava, A., Lew, R., Deval, C., Brooks, E. S., Elliot, W. J., & Robichaud, P. R. (2022). WEPPcloud hydrologic and erosion simulation datasets from 28 watersheds in US Pacific Northwest and calibrating model parameters for undisturbed and disturbed forest management conditions. Data in Brief, 42, 108251. DOI. PDF
Dobre, M., Srivastava, A., Lew, R., Deval, C., Brooks, E. S., Elliot, W. J., & Robichaud, P. R. (2022). WEPPcloud: An online watershed-scale hydrologic modeling tool. Part II. Model performance assessment and applications to forest management and wildfires. Journal of Hydrology, 610, 127776. DOI. PDF
Lew, R., Dobre, M., Srivastava, A., Brooks, E. S., Elliot, W. J., Robichaud, P. R., & Flanagan, D. C. (2022). WEPPcloud: An online watershed-scale hydrologic modeling tool. Part I. Model description. Journal of Hydrology, 608, 127603. DOI. PDF
Miller M.E., MacDonald L.H., Robichaud P.R., Elliot W.J. 2011. Predicting post-fire hillslope erosion in forest lands of the western United States. International Journal of Wildland Fire, 20, 982-999.
Mukherjee, S., Panda, S., Amatya, D. M., Dobre, M., Campbell, J. L., Lew, R., Caldwell, P. V., Elder, K., Grace, J. M., & Johnson, S. L. (2024). Hydro-geomorphological assessment of culvert vulnerability to flood-induced soil erosion using an ensemble modeling approach. Environmental Modelling & Software, 183, 106243. DOI. PDF
Nearing M.A., Foster G.R., Lane L.J., Finkner S.C. 1989. A process-based soil erosion model for USDA-Water Erosion Prediction Project technology. Transactions of the ASAE, 32(5), 1587-1590.
Neris, J., Santin, C., Lew, R., Robichaud, P. R., Elliot, W. J., Lewis, S. A., Sheridan, G., Rohlfs, A.-M., Ollivier, Q., Oliveira, L., & Doerr, S. H. (2021). Designing tools to predict and mitigate impacts on water quality following the Australian 2019/2020 wildfires: Insights from Sydney's largest water supply catchment. Integrated Environmental Assessment and Management, 17(6), 1151-1161. DOI. PDF
Robichaud P.R., Elliot W.J., Lewis S.A., Miller M.E. 2016. Validation of a probabilistic post-fire erosion model. International Journal of Wildland Fire, 25(3), 337-350. http://dx.doi.org/10.1071/WF14171
Additional References
Flanagan D.C., Nearing M.A. 1995. USDA-Water Erosion Prediction Project. Hillslope profile and watershed model documentation. NSERL Report No. 10. USDA-ARS National Soil Erosion Research Laboratory, West Lafayette, Indiana.
Quinn D.S. 2018. Simulation of post-fire watershed hydrology and erosion responses with the physically based WEPP model. MS Thesis, University of Idaho.