David Tarboton

Publications | Abstracts

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Book Chapters

• Ahmad, R., Choi, Y.D, Goodall, J.L, Tarboton, D.G, Nassar, A., Malik, T., (2023). Improving reproducibility of geoscience models with Sciunit: in Recent Advancement in Geoinformatics and Data Science, Edited by X. Ma, M. Mookerjee, L. Hsu and D. Hills. Geological Society of America Special Paper 558
• Goodall, J.L, Merwade, V., Zaslavsky, I., Tarboton, D.G, Horsburgh, J.S, Ames, D.P, Couch, A., Singh, V., (2017). Chapter 7. Hydrologic Information Systems: Handbook of Applied Hydrology. McGraw-Hill
• Idaszak, R., Tarboton, D.G, Yi, H., Christopherson, L., Stealey, M.J, Miles, B., Dash, P., Couch, A., Spealman, C., Horsburgh, J.S, Ames, D.P, (2016). Chapter 10: HydroShare - A Case Study of the Application of Modern Software Engineering to a Large Distributed Federally-Funded Scientific Software Development Project: Software Engineering for Science. Chapman & Hall/CRC Press
• Tesfa, T.K, Tarboton, D.G, Chandler, D.G, McNamara, J.P, (2010). A Generalized Additive Soil Depth Model for a Mountainous Semi-Arid Watershed Based Upon Topographic and Land Cover Attributes: Digital Soil Mapping: Bridging Research, Environmental Application, and Operation. Springer
• Horsburgh, J.S, Tarboton, D.G, Maidment, D.R, (2005). A Community Data Model for Hydrologic Observations, Chapter 6: Hydrologic Information System Status Report, Version 1. *
• Tarboton, D.G, Bloschl, G., Cooley, K., Kirnbauer, R., Luce, C., (2000). Spatial Snow Cover Processes at Kuhtai and Reynolds Creek: Spatial Patterns in Catchment Hydrology: Observations and Modelling. Cambridge University Press

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Journal Articles

Academic Journal

• Salehabadi, H., Tarboton, D.G, Wheeler, K., Prairie, J., Smith, R., Baker, S., (2025). Developing Storylines of Plausible Future Streamflow and Generating a New Warming-Driven Declining Streamflow Ensemble: Colorado River Case Study. Water Resources Research, 61:1, doi: 10.1029/2024WR038618
• Choi, Y.D, Maghami, I., Goodall, J.L, Band, L., Nassar, A., Lin, L., Saby, L., Li, Z., Wang, S., Calloway, C., Yi, H., Seul, M., Ames, D.P, Tarboton, D.G, (2025). Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models. Environmental Modelling and Software, 183, doi: 10.1016/j.envsoft.2024.106239
• Salehabadi, H., Tarboton, D.G, Wheeler, K.G, Smith, R., Baker, S., (2024). Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence‐Based Analysis: Colorado River Case Study. Water Resources Research, 60:7, e2024WR037225. doi: https://doi.org/10.1029/2024WR037225
• Tarboton, D.G, Ames, D.P, Horsburgh, J.S, Goodall, J.L, Couch, A., Hooper, R., Bales, J., Wang, S., Castronova, A., Seul, M., Idaszak, R., Li, Z., Dash, P., Black, S., Ramirez, M., Yi, H., Calloway, C., Cogswell, C., (2024). HydroShare Retrospective: A Review of Science and Technology Advances of a Comprehensive Data and Model Publication Environment for the Water Science Domain. Environmental Modelling & Software, 172, doi: 10.1016/j.envsoft.2023.105902
• Maghami, I., Morsy, M.M, Sadler, J.M, Horsburgh, J.S, Dash, P.K, Choi, Y., Chen, K., Seul, M., Black, S., Tarboton, D.G, Goodall, J.L, (2024). An Extensible Schema for Capturing Environmental Model Metadata: Implementation in the HydroShare Online Data Repository. Environmental Modelling & Software, 172, doi: 10.1016/j.envsoft.2023.105895
• Gan, T., Tarboton, D.G, Gichamo, T.Z, (2023). Evaluation of Temperature-Index and Energy-Balance Snow Models for Hydrological Applications in Operational Water Supply Forecasts. Water, 15:10, 1886. doi: 10.3390/w15101886
• Maghami, I., Van Beusekom, A., Hay, L., Li, Z., Bennett, A., Choi, Y., Nijssen, B., Wang, S., Tarboton, D.G, Goodall, J.L, (2023). Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environmental Modelling & Software, 164, 105689. doi: 10.1016/j.envsoft.2023.105689
• Merck, M.F, Tarboton, D.G, (2023). The Salinity of the Great Salt Lake and Its Deep Brine Layer. Water, 15:8, 1488. doi: 10.3390/w15081488
• Safaei-Moghadam, A., Tarboton, D.G, Minsker, B., (2023). Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis. Natural Hazards and Earth System Sciences, 23:1, 1-19. doi: 10.5194/nhess-23-1-2023
• Knoben, W.J, Clark, M.P, Bales, J., Bennett, A., Gharari, S., Marsh, C.B, Nijssen, B., Pietroniro, A., Spiteri, R.J, Tang, G., Tarboton, D.G, Wood, A.W, (2022). Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models. Water Resources Research, 58:11, e2021WR031753. doi: 10.1029/2021WR031753
• Salehabadi, H., Tarboton, D.G, Udall, B., Wheeler, K.G, Schmidt, J.C, (2022). An Assessment of Potential Severe Droughts in the Colorado River Basin. JAWRA Journal of the American Water Resources Association, 58:6, 1053-1075. doi: http://doi.org/10.1111/1752-1688.13061
• Goeking, S.A, Tarboton, D.G, (2022). Spatially Distributed Overstory and Understory Leaf Area Index Estimated from Forest Inventory Data. Water, 14:15, 2414. doi: 10.3390/w14152414
• Gallagher, M., Habib, E., Williams, D., Lane, B., Byrd, J., Tarboton, D.G, (2022). Sharing Experiences in Designing Professional Learning to Support Hydrology and Water Resources Instructors to Create High-Quality Curricular Materials. Frontiers in Education: STEM Education, doi: 10.3389/feduc.2022.890379
• Goeking, S.A, Tarboton, D.G, (2022). Variable Streamflow Response to Forest Disturbance in the Western US: A Large‐Sample Hydrology Approach. Water Resources Research, 58:6, e2021WR031575. doi: 10.1029/2021wr031575
• Garousi‐Nejad, I., Tarboton, D.G, (2022). A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States. Hydrological Processes, 36:1, e14469. doi: 10.1002/hyp.14469
• Lane, B., Garousi-Nejad, I., Gallagher, M., Tarboton, D.G, Habib, E., (2021). An open web-based module developed to advance data-driven hydrologic process learning. Hydrological Processes, 35:7, e14273. doi: https://doi.org/10.1002/hyp.14273
• Merck, M.F, Gallagher, M.A, Habib, E., Tarboton, D.G, (2021). Engineering Students’ Perceptions of Mathematical Modeling in a Learning Module Centered on a Hydrologic Design Case Study. International Journal of Research in Undergraduate Mathematics Education, 7, 351-377. doi: 10.1007/s40753-020-00131-8
• Choi, Y., Goodall, J.L, Sadler, J.M, Castronova, A.M, Bennett, A., Li, Z., Nijssen, B., Wang, S., Clark, M.P, Ames, D.P, Horsburgh, J.S, Yi, H., Bandaragoda, C., Seul, M., Hooper, R., Tarboton, D.G, (2021). Toward Open and Reproducible Environmental Modeling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces. Environmental Modelling & Software, 135, doi: 10.1016/j.envsoft.2020.104888
• Calyam, P., Wilkins-Diehr, N., Miller, M., Brookes, E.H, Arora, R., Chourasia, A., Jennewein, D.M, Nandigam, V., Drew LaMar, M., Cleveland, S.B, Newman, G., Wang, S., Zaslavsky, I., Cianfrocco, M.A, Ellett, K., Tarboton, D.G, Jeffery, K.G, Zhao, Z., Gonzalez-Aranda, J., Perri, M.J, Tucker, G., Candela, L., Kiss, T., Gesing, S., (2020). Measuring success for a future vision: Defining impact in science gateways/virtual research environments. Concurrency Computation, e6099. doi: 10.1002/cpe.6099
• Haag, S., Tarboton, D.G, Smith, M., Shokoufandeh, A., (2020). Fast summarizing algorithm for polygonal statistics over a regular grid. Computers and Geosciences, 142, 104524. doi: 10.1016/j.cageo.2020.104524
• Gan, T., Tarboton, D.G, Dash, P., Gichamo, T., Horsburgh, J.S, (2020). Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models. Environmental Modelling & Software, 130, 104731. doi: 10.1016/j.envsoft.2020.104731
• Parajuli, K., Jones, S.B, Tarboton, D.G, Hipps, L.E, Zhao, L., Sadeghi, M., Rockhold, M.L, Torres-Rua, A., Flerchinger, G.N, (2020). Stone Content Influence on Land Surface Model Simulation of Soil Moisture and Evapotranspiration at Reynolds Creek Watershed. Journal of Hydrometeorology, 21:8, 1889-1904. doi: 10.1175/JHM-D-19-0075.1
• Gan, T., Tarboton, D.G, Horsburgh, J.S, Dash, P., Idaszak, R., Yi, H., (2020). Collaborative sharing of multidimensional space-time data in a next generation hydrologic information system. Environmental Modelling & Software, 129, 104706. doi: 10.1016/j.envsoft.2020.104706
• Essawy, B.T, Goodall, J.L, Voce, D., Morsy, M.M, Sadler, J.M, Choi, Y.D, Tarboton, D.G, Malik, T., (2020). A taxonomy for reproducible and replicable research in environmental modelling. Environmental Modelling & Software, 104753. doi: 10.1016/j.envsoft.2020.104753
• Rosenberg, D.E, Filion, Y., Teasley, R.L, Sandoval-Solis, S., Hecht, J.S, van Zyl, J.E, McMahon, G.F, Horsburgh, J.S, Kasprzyk, J.R, Tarboton, D.G, (2020). The Next Frontier: Making Research More Reproducible. Journal of Water Resources Planning and Management, 146:6, 01820002. doi: 10.1061/(ASCE)WR.1943-5452.0001215
• Goeking, S.A, Tarboton, D.G, (2020). Forests and Water Yield: A Synthesis of Disturbance Effects on Streamflow and Snowpack in Western Coniferous Forests. Journal of Forestry, 118:2, 172-192. doi: 10.1093/jofore/fvz069
• Gichamo, T.Z, Sazib, N.S, Tarboton, D.G, Dash, P., (2020). HydroDS: Data services in support of physically based, distributed hydrological models. Environmental Modelling and Software, 125, 104623. doi: 10.1016/j.envsoft.2020.104623
• Gichamo, T.Z, Tarboton, D.G, (2020). UEB parallel: Distributed snow accumulation and melt modeling using parallel computing. Environmental Modelling & Software, 125, 104614. doi: 10.1016/j.envsoft.2019.104614
• Bandaragoda, C.J, Castronova, A., Istanbulluoglu, E., Strauch, R., Nudurupati, S.S, Phuong, J., Adams, J.M, Gasparini, N.M, Barnhart, K., Hutton, E.W, Hobley, D.E, Lyons, N.J, Tucker, G.E, Tarboton, D.G, Idaszak, R., Wang, S., (2019). Enabling collaborative numerical Modeling in Earth sciences using Knowledge Infrastructure. Environmental Modelling & Software, doi: 10.1016/j.envsoft.2019.03.020
• Garousi-Nejad, I., Tarboton, D.G, Mahyar, A., Torres-Rua, A., (2019). Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method. Water Resources Research , 55:10, 7983-8009. doi: 10.1029/2019WR024837
• Gichamo, T.Z, Tarboton, D.G, (2019). Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations. Water Resources Research, 55:12, 10813-10838. doi: 10.1029/2019WR025472
• Tarboton, D.G, Richards, C., McKee, M., Torres-Rua, A., Neilson, B.T, Tullis, B.P, Rosenberg, D.E, Stevens, D.K, Horsburgh, J.S, McLean, J.E, Johnson, M.C, Dupont, R.R, (2019). The Utah Water Research Laboratory: Empowering Water and Environmental Research in Utah and Around the World. Water Resources Impact, American Water Resources Association, 21:5, 13-15. *
• Bloschl, G., Bierkens, M.F, Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J.W, McDonnell, J.J, Savenije, H.H, Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Szeles, B., Viglione, A., Aksoy, H., Allen, S.T, Amin, A., Andreassian, V., Arheimer, B., Aryal, S.K, Baker, V., Bardsley, E., Barendrecht, M.H, Bartosova, A., Batelaan, O., Berghuijs, W.R, Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Bottcher, M.E, Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chen, Y., Chifflard, P., Claps, P., Clark, M.P, Collins, A.L, Croke, B., Dathe, A., David, P.C, de Barros, F.P, de Rooij, G., Di Baldassarre, G., Driscoll, J.M, Duethmann, D., Dwivedi, R., Eris, E., Farmer, W.H, Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., Gonzalez-Dugo, M.P, Grimaldi, S., Gupta, A.B, Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlavacikova, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T.H, Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Tarboton, D.G, and 104 other authors, , (2019). Twenty-three unsolved problems in hydrology (UPH)–a community perspective. Hydrological Sciences Journal, 64:10, 1141-1158. doi: 10.1080/02626667.2019.1620507
• Xue, Z., Couch, A., Tarboton, D.G, (2019). Map based discovery of hydrologic data in the HydroShare collaboration environment. Environmental Modelling and Software, 111, 24-33. doi: 10.1016/j.envsoft.2018.09.014
• Zheng, X., Maidment, D.R, Tarboton, D.G, Liu, Y.Y, Passalacqua, P., (2018). GeoFlood: Large‐Scale Flood Inundation Mapping Based on High‐Resolution Terrain Analysis. Water Resources Research, 10013-10033. doi: 10.1029/2018WR023457
• Liu, Y.Y, Maidment, D.R, Tarboton, D.G, Zheng, X., Wang, S., (2018). A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping. JAWRA Journal of the American Water Resources Association, 54:4, 770-784. doi: 10.1111/1752-1688.12660
• Zheng, X., Tarboton, D.G, Maidment, D.R, Liu, Y.Y, Passalacqua, P., (2018). River Channel Geometry and Rating Curve Estimation Using Height above the Nearest Drainage. JAWRA Journal of the American Water Resources Association, 54:4, 785-806. doi: 10.1111/1752-1688.12661
• Parajuli, K., Jones, S.B, Tarboton, D.G, Flerchinger, G.N, Hipps, L.E, Allen, L., Seyfried, M.S, (2018). Estimating actual evapotranspiration from stony-soils in montane ecosystems. Agricultural and Forest Meteorology, 263, 399-408. doi: 10.1016/j.agrformet.2018.09.009
• Yi, H., Idaszak, R., Stealey, M., Calloway, C., Couch, A.L, Tarboton, D.G, (2018). Advancing distributed data management for the HydroShare hydrologic information system. Environmental Modelling and Software, 102, 233-240. doi: 10.1016/j.envsoft.2017.12.008
• Crawley, S., Ames, D., Li, Z., Tarboton, D.G, (2017). HydroShare GIS: Visualizing Spatial Data in the Cloud. Open Water, 4:1
• Morsy, M.M, Goodall, J.L, Castronova, A., Dash, P., Merwade, V., Sadler, J.M, Horsburgh, J.S, Tarboton, D.G, (2017). Design of a Metadata Framework for Environmental Models with an Example Hydrologic Application in HydroShare. Environmental Modelling & Software, 93, 13-28. doi: 10.1016/j.envsoft.2017.02.028
• Dhungel, S., Tarboton, D.G, Jin, J., Hawkins, C.P, (2016). Potential effects of climate change on ecologically relevant streamflow regimes. River Research and Applications , 32:2, 1827-1840. doi: 10.1002/rra.3029
• Sen Gupta, A., Tarboton, D.G, (2016). A tool for downscaling weather data from large-grid reanalysis products to finer spatial scales for distributed hydrological applications. Environmental Modelling & Software, 84, 50-69. doi: 10.1016/j.envsoft.2016.06.014
• Horsburgh, J.S, Morsy, M.M, Castronova, A., Goodall, J.L, Gan, T., Yi, H., Stealey, M.J, Tarboton, D.G, (2016). HydroShare: Sharing Diverse Hydrologic Data Types and Models as Social Objects within a Hydrologic Information System. Journal of the American Water Resources Association (JAWRA), 52:4, doi: 10.1111/1752-1688.12363
• Fatichi, S., Vivoni, E.R, Ogden, F.L, Ivanov, V.Y, Mirus, B., Gochis, D., Downer, C.W, Camporese, M., Davison, J.H, Ebel, B., Jones, N., Kim, J., Mascaro, G., Niswonger, R., Restrepo, P., Rigon, R., Shen, C., Sulis, M., Tarboton, D.G, (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology, 537, 45-60. doi: 10.1016/j.jhydrol.2016.03.026
• Aufdenkampe, A.K, Mayorga, E., Lehnert, K.A, Hsu, L., Song, L., Jones, A.S, Damiano, S.G, Tarboton, D.G, Valentine, D., Zaslavsky, I., Whitenack, T., (2016). Observations Data Model 2: A community information model for spatially discrete Earth observations. Environmental Modelling & Software, 79, 55-74. doi: 10.1016/j.envsoft.2016.01.010
• White, J.S, Null, S., Tarboton, D.G, (2015). How Do Changes to the Railroad Causeway in Utah’s Great Salt Lake Affect Water and Salt Flow?. PLoS One, 10:12, e0144111. doi: 10.1371/journal.pone.0144111
• Yildirim, A.A, Watson, D.W, Tarboton, D.G, Wallace, R.M, (2015). A virtual tile approach to raster-based calculations of large digital elevation models in a shared-memory system. Computers & Geosciences, 82, 78-88. doi: 10.1016/j.cageo.2015.05.014
• Passalacqua, P., Belmont, P., Staley, D.M, Simley, J.D, Arrowsmith, J.R, Bode, C.A, Crosby, C., DeLong, S.B, Glenn, N.F, S.A, Lague, D., Sangireddy, H., Schaffrath, K., Tarboton, D.G, Wasklewicz, T., Wheaton, J.M, (2015). Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review. Earth-Science Reviews, 148, doi: 10.1016/j.earscirev.2015.05.012
• Sen Gupta, A., Tarboton, D.G, Hummel, P., Brown, M.E, Habib, S., (2015). Integration of an energy balance snowmelt model into an open source modeling framework. Environmental Modelling & Software, 68, 205-218. doi: 10.1016/j.envsoft.2015.02.017
• Clark, M.P, Njissen, B., Lundquist, J.D, Kavetski, D., Rupp, D.E, Woods, R.A, Freer, J.E, Gutmann, E.D, Wood, A.W, Gochis, D.J, Rasmussen, R.M, Tarboton, D.G, Mahat, V., Flerchinger, G.N, Marks, D.G, (2015). A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies. Water Resources Research, 54:4, 2515-2542. doi: 10.1002/2015WR017200
• Fan, Y., Richard, S., Bristol, R.S, Peters, S.E, Ingebritsen, S.E, Moosdorf, N., Packman, A., Gleeson, T., Zaslavsky, I., Peckham, S., Murdoch, L., Fienen, M., Cardiff, M., Tarboton, D.G, Jones, N., Hooper, R., Arrigo, J., Gochis, D., Olson, J., Wolock, D., (2015). DigitalCrust – a 4D data system of material properties for transforming research on crustal fluid flow. Geofluids, 15:1-2, 372-379. doi: 10.1111/gfl.12114
• You, J., Tarboton, D.G, Luce, C.H, (2014). Modeling the snow surface temperature with a one-layer energy balance snowmelt model. Hydrology and Earth System Sciences, 18:12, 5061-5076. doi: 10.5194/hess-18-5061-2014
• Mahat, V., Tarboton, D.G, (2014). Representation of canopy snow interception, unloading and melt in a parsimonious snowmelt model. Hydrological Processes, 28:26, 6320-6336. doi: 10.1002/hyp.10116
• Brown, M.E, Racoviteanu, A.E, Tarboton, D.G, Sen Gupta, A., Nigro, J., Policelli, F., Habib, S., Tokay, M., Shrestha, M.S, Bajracharya, S., Hummel, P., Gray, M., Duda, P., Zaitchik, B., Mahat, V., Artan, G., Tokar, S., (2014). An integrated modeling system for estimating glacier and snow melt driven streamflow from remote sensing and earth system data products in the Himalayas. Journal of Hydrology, 519:Part B, 1859-1869. doi: 10.1016/j.jhydrol.2014.09.050
• Mohammed, I.N, Tarboton, D.G, (2014). Simulated watershed responses to land cover changes using the Regional Hydro-Ecological Simulation System (RHESSYS). Hydrological Processes, 28:15, 4511-4528. doi: 10.1002/hyp.9963
• Horsburgh, J.S, Tarboton, D.G, Hooper, R.P, Zaslavsky, I., (2014). Managing a Community Vocabulary for Hydrologic Observations. Environmental Modelling & Software, 52, 62-73. doi: 10.1016/j.envsoft.2013.10.012
• Mahat, V., Tarboton, D.G, Molotch, N.P, (2013). Testing above and below canopy representations of turbulent fluxes in an energy balance snowmelt model. Water Resources Research, 49:2, 1107-1122. doi: 10.1002/wrcr.20073
• Mohammed, I.N, Tarboton, D.G, (2012). An examination of the sensitivity of the Great Salt Lake to changes in inputs. Water Resources Research, 48:11, W11511. doi: 10.1029/2012WR011908
• Mahat, V., Tarboton, D.G, (2012). Canopy radiation transmission for an energy balance snowmelt model. Water Resources Research, 48, W01534. doi: 10.1029/2011WR010438
• Tesfa, T.K, Tarboton, D.G, Watson, D.W, Schreuders, K.A, Baker, M.E, Wallace, R.M, (2011). Extraction of hydrological proximity measures from DEMs using parallel processing. Environmental Modelling & Software, 26:12, 1696-1709. doi: 10.1016/j.envsoft.2011.07.018
• Chinnayakanahalli, K.J, Hawkins, C.P, Tarboton, D.G, Hill, R.A, (2011). Natural flow regime, temperature and the composition and richness of invertebrate assemblages in streams of the western United States. Freshwater Biology, 56:7, 1248-1265. doi: 10.1111/j.1365-2427.2010.02560.x
• Nicotina, L., Tarboton, D.G, Tesfa, T.K, Rinaldo, A., (2011). Hydrologic controls on equilibrium soil depths. Water Resources Research, 47:4, W04517. doi: 10.1029/2010WR009538
• Horsburgh, J.S, Tarboton, D.G, Maidment, D.R, Zaslavsky, I., (2011). Components of an integrated environmental observatory information system. Computers & Geosciences, 37:2, 207-218. doi: 10.1016/j.cageo.2010.07.003
• Mohammed, I.N, Tarboton, D.G, (2011). On the Interaction between Bathymetry and Climate in the System Dynamics and Preferred Levels of the Great Salt Lake. Water Resources Research, 47, doi: 10.1029/2010WR009561
• Horsburgh, J.S, Spackman Jones, A., Stevens, D.K, Tarboton, D.G, Mesner, N., (2010). A Sensor Network for High Frequency Estimation of Water Quality Constituent Fluxes Using Surrogates. Environmental Modelling & Software, 25, 1031-1044. doi: 10.1016/j.envsoft.2009.10.012
• Horsburgh, J.S, Spackman, A., Stevens, D.K, Tarboton, D.G, Mesner, N., (2010). A Sensor Network for High Frequency Estimation of Water Quality Constituent Fluxes Using Surrogates. Environmental Modelling and Software, doi: 10.1016/j.envsoft.2009.10.012
• Tarboton, D.G, Piasecki, M., Maidment, D.R, Zaslavsky, I., Valentine, D., Whitenack, T., (2009). An integrated system for publishing environmental observations data: Environmental Modelling & Software. Environmental Modelling & Software, 24:8, 879-888. doi: 10.1016/j.envsoft.2009.01.002
• Horsburgh, J.S, Tarboton, D.G, Piasecki, M., Maidment, D.R, Zaslavsky, I., Valentine, D., Whitenack, T., (2009). An integrated system for publishing environmental observations data: Environmental Modelling & Software. Environmental Modelling & Software, 24:8, 879-888. doi: 10.1016/j.envsoft.2009.01.002
• Tarboton, D.G, Maidment, D.R, Zaslavsky, I., (2008). A Relational Model for Environmental and Water Resources Data. Water Resources Research, 44, W05406. doi: 10.1029/2007WR006392
• Horsburgh, J.S, Tarboton, D.G, Maidment, D.R, Zaslavsky, I., (2008). A Relational Model for Environmental and Water Resources Data. Water Resources Research, 44, W05406. doi: 10.1029/2007WR006392
• Luce, C., Tarboton, D.G, Istanbulluoglu, E., Pack, R.T, (2005). Reply to Comment by Jonathan J. Rhodes on ‘‘Modeling of the Interactions between Forest Vegetation, Disturbances, and Sediment Yields’’. Journal of Geophysical Research - Earth Surface, 110:F01013
• Istanbulluoglu, E.D, Tarboton, D.G, Pack, R.T, Luce, C.H, (2004). Modeling of the Interactions between Forest Vegetation, Disturbances and Sediment Yields. Journal of Geophysical Research - Earth Surface, 109:F1, doi: 10.1029
• Istanbulluoglu, E., Tarboton, D.G, Pack, R.T, Luce, C., (2003). A Sediment Transport Model for Incising Gullies on Steep Topography. Water Resources Research, 39:4, 1103. doi: 10.1029
• Istanbulluoglu, E., Tarboton, D.G, Pack, R.T, Luce, C., (2002). A Probabilistic Approach for Channel Initiation. Water Resources Research, 38:12, 1325. doi: 10.1029/2001WR000782
• Van Miegroet, H., Creed, I.F, Nicholas, N.S, Tarboton, D.G, Webster, K.L, Shubzda, J., Robinson, B., Smoot, J., Johnson, D.W, Lindberg, S.E, Lovett, G., Nodvin, S., Moore, S., (2001). Is there synchronicity in N input and out fluxes at the Noland Divide Watershed, a small N-saturated forested catchment in the Great Smoky Mountains National Park. TheScientificWorld, 1(S2)(E-Journal, 480-492.
• Artan, G.A, Neale, C.M, Tarboton, D.G, (2000). Characteristic length scale of input data in distributed models: implications for modeling grid size. Journal of Hydrology, 227:1-4, 128-139.
• Rajagopalan, B., Lall, U., Tarboton, D.G, (1997). Evaluation of Kernel Density estimation methods for Daily Precipitation Resampling. Stochastic Hydrology and Hydraulics, 11:6, 523-547. doi: 10.1007/BF02428432

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | MultiMedia

Software

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

AES Reports

Research Reports

• Salehabadi, H., Tarboton, D.G, Kuhn, E., Udall, B., Wheeler, , Rosenberg, D.E, Goeking, S., Schmidt, J.C, (2020). The Future Hydrology of the Colorado River Basin. Center for Colorado RIver Studies, Quinney College of Natural Resources, Utah State University, White Paper No. 4 *
• Tarboton, D.G, (2010). Taudem 5.0 Guide To Using The Taudem Command Line Functions. U.S. Army Corps of Engineers *
• Tarboton, D.G, Mohammed, I.N, (2010). Taudem 5.0 Quick Start Guide To Using The Taudem Arcgis Toolbox. U.S. Army Corp of Engineers *

Other Reports

• White, J.S, Null, S., Tarboton, D.G, (2014). Modeled changes to Great Salt Lake salinity from railroad causeway alteration. Final report to the Utah Division of Forestry, Fire, and State Lands *
• Tarboton, D.G, Maidment, D.R, Zaslavsky, I., Ames, D.P, Goodall, J., Horsburgh, J.S, (2010). CUAHSI Hydrologic Information System 2010 Status Report. Consortium of Universities for the Advancement of Hydrologic Science, Inc
• Tarboton, D.G, Horsburgh, J.S, Maidment, D.R, (2008). CUAHSI Community Observations Data Model (ODM) Version 1.1 Design Specifications.
• Horsburgh, J.S, Tarboton, D.G, Maidment, D.R, (2005). A Community Data Model for Hydrologic Observations, Chapter 6: Hydrologic Information System Status Report, Version 1. Consortium of Universities for the Advancement of Hydrologic Science, Inc. *

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

Magazine/Trade Publications

• Cooke, B., Luce, C., Black, T., Tarboton, D.G, (2016). Road scholars for the western states: Protecting natural areas by improving road management research. Science You Can Use Bulletin USFS Rocky Mountain Research Station *
• Ames, D.P, Tarboton, D.G, (2015). Enabling the free flow of water data. Water Resources Impact *
• White, J.S, Null, S., Tarboton, D.G, (2014). More than meets the eye – managing salinity in Great Salt Lake, Utah. Lakeline Magazine *
• Arrigo, J., Tarboton, D.G, Couch, A., (2013). Building and Sustaining Community Cyber-Infrastructure for the Hydrologic Sciences. Eos, Transactions American Geophysical Union

Other

• Arctur, D., Bermudez, L., Ames, D., Booth, N., Choi, Y., Goodall, J., Hooper, R., Horsburgh, J.S, Jirka, S., Maidment, D., Percivall, G., Salas, F., Schreuders, K., Seppi, J., Tarboton, D.G, Valentine, D., Veluppillai, T., Vretanos, P.A, Whiteaker, T., Zaslavsky, I., (2011). OGC Engineering Report: CUAHSI Profile of OGC Web Services Standards for Water Observations Data, OGC 11-013r5, Version 0.31. Open Geospatial Consortium

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.