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Dan P. Ames

Daniel P. Ames

Professor, Water Resources Engineering and Geospatial Technologies
Full-Time Faculty

430I EB
Provo, UT 84606

Biography

Ph.D., Utah State University, 2002 Professional Summary

Professional Summary

Classroom Instruction


Publications


Peer-Reviewed Journal Articles

62.      Choi, Y.D., Goodall, J.L., Sadler, J.M., Castronova, A.M., Bennett, A., Li, Z., Nijssen, B., Wang, S., Clark, M.P., Ames, D.P. and Horsburgh, J.S., 2020. Toward Open and Reproducible Environmental Modeling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces. Environmental Modelling & Software, vol. 135, art. 104888. https://doi.org/10.1016/j.envsoft.2020.104888.

61.     Evans, S., Jones, N., Williams, G., Ames, D.P., Nelson, E.J., 2020. Groundwater Level Mapping Tool: An Open Source Web Application for Assessing Groundwater Sustainability. Environmental Modelling & Software, vol. 131, art. 104782. https://doi.org/10.1016/j.envsoft.2020.104782.

60.     Evans, S., Williams, G., Jones, N., Ames, D.P., Nelson, E.J., 2020. Exploiting Earth Observation Data to Impute Groundwater Level Measurements with an Extreme Learning Machine. Remote Sensing, vol 12, issue 12. https://doi.org/10.3390/rs12122044.

59.      Chen, M., Voinov, A., Ames, D.P., Kettner, A.J., Goodall, J.L., Jakeman, A.J., Barton, M., Harpham, Q., Cuddy, S.M., DeLuca, C., Yue, S., Wang, J., Zhang, F., Wen, Y., Lu, G., 2020. Position Paper: Open Web-Distributed Integrated Geographic Modelling and Simulation to Enable Broader Participation and Applications. Earth Science Reviews, vol. 207, article 103223. https://doi.org/10.1016/j.earscirev.2020.103223.

58.      Khattar, R., Ames, D.P., 2020. A Web Services Based Water Data Sharing Approach using Open Geospatial Consortium Standards. Open Water Journal, vol. 6, issue 1, article 2. https://scholarsarchive.byu.edu/openwater/vol6/iss1/2/.

57.     Barton, C.M., Alberti, M., Ames, D.P., Atkinson, J.A., Bales, J., Burke, E., Chen, M., Diallo, S.Y., Earn, D.J., Fath, B. and Feng, Z., 2020. Call for transparency of COVID-19 models. Science, 368(6490), pp.482-483. https://science.sciencemag.org/content/368/6490/482.2.

56.      Nelson, E.J., Pulla, S.T., Matin, M.A., Shakya, K., Jones, N., Ames, D.P., Ellenburg, W.L., Markert, K.N., David, C.H., Zaitchik, B.F., Gatlin, P., Hales, R., 2019. Enabling Stakeholder Decision-Making with Earth Observation and Modelling Data using Tethys Platform. Frontiers in Environmental Science, 09 October 2019. https://doi.org/10.3389/fenvs.2019.00148.

55.      Nelson, E.J., Souffront, M.A., Shakya, K., Edwards, C., Roberts, W., Krewson, C., Ames, D.P., and Jones, N.L., 2019. Hydrologic Modeling as a Service (HMaaS): A New Approach to Address Hydroinformatic Challenges in Developing Countries. Frontiers in Environmental Science. DOI: 10.3389/fenvs.2019.00158. https://www.frontiersin.org/articles/10.3389/fenvs.2019.00158/full.

54.      Qiao, X., Nelson, E.J., Ames, D.P., Li, Z., David, C., Williams, G., Roberts, W., Sanchez Lozano, J.L., Edwards, C., Souffront, M., Matin, M.A., 2019. A Systems Approach to Routing Global Gridded Runoff through Local High-Resolution Stream Networks for Flood Early Warning Systems. Environmental Modelling & Software, vol 120, article 104501. DOI: 10.1016/j.envsoft.2019.104501. https://www.sciencedirect.com/science/article/pii/S1364815219304232.

53.      Jackson, E.K., Roberts, W., Nelson, B., Williams, G., Nelson, E.J., and Ames, D.P., 2019. Introductory Overview: Error Metrics for Hydrologic Modelling – A Review of Common Practices and an Open Source Library to Facilitate Use and Adoption. Environmental Modelling & Software, vol 119, pp 32-48. DOI: 10.1016/j.envsoft.2019.05.001. https://www.sciencedirect.com/science/article/pii/S136481521930427X.  

52.     Hamilton, S.H., Fu, B., Guillaume, J.H., Badham, J., Elsawah, S., Gober, P., Hunt, R.J., Iwanaga, T., Jakeman, A.J., Ames, D.P. and Curtis, A., 2019. A Framework for Characterising and Evaluating the Effectiveness of Environmental Modelling. Environmental Modelling & Software, vol 118, pp 83-98. DOI: 10.1016/j.envsoft.2019.04.008. https://www.sciencedirect.com/science/article/pii/S1364815218307692.

51.      Badham, J., Elswah, S., Guillaume, J.H.A., Hamilton, S.H., Hunt, R.J., Jakeman, A.J., Pierce, S.A., Snow, V.O., Babbar-Sebens, M., Fu, B., Gober, P., Hill, M., Iwanaga, T., Loucks, D.P., Merritt, W.S., Peckham, S.D., Richmond, A., Zare, F., Ames, D.P., Bammer, G. 2019. Effective Modeling for Integrated Water Resource Management: A Guide to Contextual Practices by Phases and Steps and Future Opportunities. Environmental Modelling & Software, vol 116, pp 40-56. DOI: 10.1016/j.envsoft.2019.02.013. https://www.sciencedirect.com/science/article/pii/S1364815218304456.

50.     Qiao, X., Li, Z., Ames. D.P., Nelson, J., Swain, N.R., 2019. Simplifying the deployment of OGC web processing services (WPS) for environmental modelling – Introducing Tethys WPS Server, Environmental Modelling & Software, vol. 115, pp 38-50. DOI: 10.1016/j.envsoft.2019.01.021. https://www.sciencedirect.com/science/article/pii/S1364815218301993.

49.     Zhang, F., Chen, M., Ames, D.P., Shen, C., Yue, S., Wen, Y., Lu, G., 2019. Design and Development of a Service-oriented Wrapper System for Sharing and Reusing Distributed Geoanalysis Models on the Web. Environmental Modelling & Software, vol. 111, pp 498-509. DOI: 10.1016/j.envsoft.2018.11.002. https://www.sciencedirect.com/science/article/pii/S1364815218310478.

48.      Roberts, W., Williams, G., Jackson, E., Nelson, E.J., and Ames, D.P., 2018. Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series. Hydrology, 5(4), 66. DOI: 10.3390/hydrology5040066. https://www.mdpi.com/2306-5338/5/4/66.

47.     Nelson, J., Ames, D.P. and Blodgett, D., 2018. Open Hydrology Courseware Using the United States Geological Survey’s National Water Census Data Portal. Open Water Journal, 5(1), pp.1-14. https://scholarsarchive.byu.edu/openwater/vol5/iss1/1/.

46.      Souffront Alcantara, M.A., Crawley, S., Stealey, M.J., Nelson, E.J., Ames, D.P. and Jones, N.L., 2017. Open Water Data Solutions for Accessing the National Water Model. Open Water Journal, 4(1), pp 21-32. https://scholarsarchive.byu.edu/openwater/vol4/iss1/3/

45.      Souffront Alcantara, M.A., Kesler, C., Stealey, M.J., Nelson, E.J., Ames, D.P., Jones, N.L., 2017, Cyberinfrastructure and Web Apps for Managing and Disseminating the National Water Model. J. of the American Water Resources Association (JAWRA), 54, pp 859-871. https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12608.

44.      Kadlec, J., Ames, D.P., 2017, Using Crowdsourced and Weather Station Data to Fill Cloud Gaps in MODIS Snow Cover Datasets. Environmental Modelling & Software, vol. 95, pp. 258-270. https://www.sciencedirect.com/science/article/pii/S1364815217306746.

43.      Crawley, S., Ames, D.P., Li, Z. and Tarboton, D., 2017. HydroShare GIS: Visualizing Spatial Data in the Cloud. Open Water Journal, 4(1), pp.2-20. https://scholarsarchive.byu.edu/openwater/vol4/iss1/2/.

42.      Hinton, D., Hotchkiss, R., Ames, D.P., 2017. Comprehensive and Quality-Controlled Bedload Transport Database. Journal of Hydraulic Engineering, 143(2), https://ascelibrary.org/doi/full/10.1061/(ASCE)HY.1943-7900.0001221.

41.     Swain, N.R., Christensen, S.D., Snow, A.D., Dolder, H., Espinoza-Davalos, G., Goharian, E., Jones, N.L., Nelson, E.J., Ames, D.P., Burian, S.J., 2016, A New Open Source Platform for Lowering the Barrier for Environmental Web App Development. Environmental Modelling & Software, vol. 85, pp. 11-26. https://www.sciencedirect.com/science/article/pii/S1364815216304625.

40.     Woodbury, D.H., Ames, D.P., Duncan, S., Gault, G., 2016. A New Open‐Access HUC‐8 Based Downscaled CMIP‐5 Climate Model Forecast Dataset for the Conterminous United States. J. of the American Water Resources Association (JAWRA), 52(4), pp 906-915. https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12437.

39.     Kadlec, J., Miller, A.W., Ames, D.P., 2016. Extracting Snow Cover Time Series Data from Open Access Web Mapping Tile Services. J. of the American Water Resources Association (JAWRA), 52(4), pp. 916-932. https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12387.

38.     Snow, A.D., Christensen, S.D., Swain, N.R., Nelson, E.J., Ames, D.P., Jones, N.L., Ding, D., Noman, N., David, C.H., Pappenberger, F., 2016. A High-Resolution National-Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model. J. of the American Water Resources Association (JAWRA), 52(4), pp. 950-964. https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12434.

37.     Joe, J., Hendrickson, K., Wong, M., Kane, S., Solan, D., Carlisle, J., Koehler, D., Ames, D.P., Beazer, R., 2016. Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States. Energy Research & Social Science, vol 17, pp 127-134. https://www.sciencedirect.com/science/article/pii/S221462961630072X.

36.     Ge, M., Wu, P., Zhu, D., Ames, D.P., 2016. Comparison Between Sprinkler Irrigation and Natural Rainfall Based on Droplet Diameter. Spanish Journal of Agricultural Research, 14(1), pp. 1-10. DOI: 10.5424/sjar/2016141-8076. https://revistas.inia.es/index.php/sjar/article/view/8076.

35.     Sadler, J., Ames, D.P., Livingston, S.J., 2016. Extending HydroShare to enable hydrologic time series data as social media. J. Hydroinformatics, 18(2), pp. 198-209. DOI: 10.2166/hydro.2015.331. https://iwaponline.com/jh/article/18/2/198/22/Extending-HydroShare-to-enable-hydrologic-time.

34.     Sadler, J., Ames, D.P., Khattar, R., 2016. A Recipe for Standards-Based Data Sharing using Open Source Software and Low-Cost Electronics. J. Hydroinformatics, 18(2), pp. 185-197. DOI: 10.2166/hydro.2015.092. https://iwaponline.com/jh/article/18/2/185/21/A-recipe-for-standards-based-data-sharing-using.

33.      Webber, B., Weber, K.T., Clark, P.E., Moffet, C.A., Ames, D.P., Taylor, J.B., Johnson, D.E., Kiel, J.G. 2015. Movements of Domestic Sheep in the Presence of Livestock Guardian Dogs. Sheep & Goat Research Journal, 30, pp. 18-23. https://d1cqrq366w3ike.cloudfront.net/http/DOCUMENT/SheepUSA/SGRJ_V30_18-23_Webber_7-15.pdf.

32.     Kadlec, J., StClair, B., Ames, D.P., Gill, R., 2015. WaterML R Package for Managing Ecological Experiment Data on a CUAHSI HydroServer. Ecological Informatics, 28, pp. 19-28 DOI:10.1016/j.ecoinf.2015.05.002. https://www.sciencedirect.com/science/article/pii/S1574954115000801.

31.     Brewer, J., Ames, D.P., D. Solan, D., Lee, R., Carlisle, J., 2015. Using GIS analytics and social preference data to evaluate utility-scale solar power site suitability. Renewable Energy 81(0):825-836 DOI:10.1016/j.renene.2015.04.017. https://www.sciencedirect.com/science/article/pii/S0960148115002979.

30.     Kern, E., Hotchkiss, R.H., Ames, D.P., 2015. Introducing a Low-Head Dam Fatality Database and Internet Information Portal. J. of the American Water Resources Association (JAWRA) 1-7. DOI: 10.1111/jawr.12289. https://onlinelibrary.wiley.com/doi/full/10.1111/jawr.12289.

29.     Baloch, M., Ames, D. P., Tanik, A., 2015. Hydrological impacts of climate and land use change on Namnam stream in Koycegiz watershed, Turkey. International J. of Environmental Science and Technology. 12:1481-1494. DOI:10.1007/s13762-014-0527-x. https://link.springer.com/article/10.1007/s13762-014-0527-x.

28.     Swain, N. R., Latu, K., Christensen, S. D., Jones, N. L., Nelson, E. J., Ames, D. P., Williams, G. P. 2015. A review of open source software solutions for developing water resources web applications. Environmental Modelling & Software, 67, 108-117. https://www.sciencedirect.com/science/article/pii/S1364815215000353.

27.     Osorio-Murillo, C., Over, M., Savoy, H., Ames, D.P., Rubin, Y., 2015. Software framework for inverse modeling and uncertainty characterization. Environmental Modelling & Software, Vol. 66, pp. 98-109. https://www.sciencedirect.com/science/article/pii/S1364815215000201.

26.     Fan, F., Fleischmann, A.S., Ames, D.P., Rigo, D., 2015. Large-Scale Analytical Water Quality Model Coupled With GIS for Simulation of Point Sourced Time Variable Discharges. Environmental Modelling & Software, Vol. 65, pp. 58-71. https://www.sciencedirect.com/science/article/pii/S1364815214003387.

25.     Wang, J., Zhu, D., Zhang, L., Ames, D.P., 2015. Economic Analysis Approach for Identifying Optimal Microirrigation Uniformity, ASCE J. of Irrigation Engineering, DOI: 10.1061/(ASCE)IR.1943-4774.0000863. https://ascelibrary.org/doi/full/10.1061/%28ASCE%29IR.1943-4774.0000863.

24.     Hayden, S., Ames, D., Turner, D., Keene, T., Andrus, D., 2014. Mobile, Low-Cost, and Large-Scale Immersive Data Visualization Environment for Civil Engineering Applications. ASCE J. Comput. Civ. Eng., 10.1061/(ASCE)CP.1943-5487.0000428, 05014011.

23.     Yang, P., Ames, D.P., Fonseca, A., Anderson, D., Shrestha, R., Glenn, N.F., 2014. What is the Effect of LiDAR-Derived DEM Resolution on Large-Scale Watershed Model Results? Environmental Modelling & Software, 58, 48-57. https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0000428.

22.     Anderson, D., Ames, D.P., Yang, P., 2014. Quantitative Methods for Comparing Different Polyline Stream Network Models. Journal of Geographic Information System, 6(2), 11 pages. https://www.scirp.org/html/2-8401330_44565.htm?pagespeed=noscript.

21.     Fonseca, A., Ames, D.P., Yang, P., Botelho, C., Boaventura, R., Vilar, V., 2014. Watershed model parameter estimation and uncertainty in data-limited environments. Environmental Modelling & Software, 51, 84-93. https://www.sciencedirect.com/science/article/pii/S1364815213002223.

20.     Conner, L. G., Ames, D.P., Gill, R.A., 2013. HydroServer Lite as an open source solution for archiving and sharing environmental data for independent university labs. Ecological Informatics, 18, 171-177. https://www.sciencedirect.com/science/article/pii/S1574954113000770.

19.     Ames, D.P., Horsburgh, J.S., Cao, Y., Kadlec, J., Whiteaker, T., Valentine, D., 2012. HydroDesktop: Web Services-Based Software for Hydrologic Data Discovery, Download, Visualization, and Analysis. Environmental Modelling & Software. Vol 37, pp 146-156. https://www.sciencedirect.com/science/article/pii/S1364815212001053.

18.     Michaelis, C., Ames, D.P., Considerations for Implementing OGC WMS and WFS Specifications in a Desktop GIS. 2012. Journal of Geographic Information System, Vol 4 No.2., 161-167. DOI: 10.4236/jgis.2012.42021. https://www.scirp.org/journal/paperinformation.aspx?paperid=18782.

17.     Panda, S.S., Steele, D.D., Ames, D.P., 2012. Precision Water Management in Corn Using Automated Crop Yield Modeling and Remotely Sensed Data. International Journal of Remote Sensing Application, 1(1), pp 11-21. https://www.airitilibrary.com/Publication/alDetailedMesh?docid=P20150604009-201112-201508100010-201508100010-11-21.

16.     Raza, M., Weber, K., Mannel, S., Ames, D.P., Pattillo, R., 2011. Geospatial analysis of tree root damage to sidewalks in southeastern Idaho. URISA Journal 23(1), pp 29-32. https://www.researchgate.net/publication/260182558_Geospatial_Analysis_of_Tree_Root_Damage_to_Sidewalks_in_Southeastern_Idaho.

15.     Alexandrov, G.A., Ames, D.P., Bellocchi, G., Bruen, M., Crout, N., Erechtchoukova, M., Hildebrandt, A., Hoffman, F., Jackisch, C., Khaiter, P., Mannina, G., Matsunaga, T., Purucker, S.T., Rivington, M., Samaniego, L., 2011. Technical assessment and evaluation of environmental models and software: Letter to the Editor, Environmental Modelling & Software, 26(3), pp 328-336. https://www.sciencedirect.com/science/article/pii/S1364815210002318.

14.     Anderson, D. L., Ames, D.P., 2011. A method for extracting stream channel flow paths directly from LiDAR point cloud data. Journal of Spatial Hydrology, 11(1), pp 1-17.  https://scholarsarchive.byu.edu/josh/vol11/iss1/1/.

13.     Marchionni, B., Ames, D.P., 2011. A modular spatial modeling environment for GIS. OSGeo Journal Vol. 8, pp 54-64. https://www.researchgate.net/publication/346044198_A_Modular_Spatial_Modeling_Environment_for_GIS.

12.     Dunsford, H., Ames, D.P., 2011, “MapWindow 6.0: an extensible architecture for cartographic symbology.” OSGeo Journal Vol 8, pp 31-36. https://www.researchgate.net/publication/346044107_MapWindow_60_An_Extensible_Architecture_for_Cartographic_Symbology.

11.     Kantabutra, V., Owens, J.B., Ames, D.P., Burns, C.N., Stephenson, B., 2010, Using the newly-created ILE DBMS to better represent temporal and historical GIS data. Trans. in GIS. 14(s1), pp 39-58. https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1467-9671.2010.01222.x.

10.     Panda, S.S., Ames, D.P., Panigrahi, S., 2010. Application of vegetation indices for agricultural crop yield prediction using neural network techniques. Remote Sensing, 2(3), pp 673-696. https://www.mdpi.com/2072-4292/2/3/673.

9.        Panda, S.S., Panigrahi, S., Ames, D.P., 2010. Crop yield forecasting from remotely sensed aerial images with self-organizing maps. Transactions of the American Society Agricultural and Biological Engineers, 53(2). pp. 323-338. https://elibrary.asabe.org/abstract.asp?aid=29563&t=1.

8.        Ames, D.P., Rafn, E., Van Kirk, R., Crosby, B., 2009. Estimation of stream channel geometry in Idaho using GIS-derived watershed characteristics. Environmental Modeling & Software, 24(3), pp 444-448. https://www.sciencedirect.com/science/article/pii/S1364815208001588.

7.        Michaelis, C., Ames, D.P., 2009. Evaluation and implementation of OGC Web Processing Service for use in client-side GIS. Geoinformatica, 13(1), pp 109-120. https://link.springer.com/article/10.1007/s10707-008-0048-1.

6.        Ames, D.P., Lall, U., 2008. Developing total maximum daily loads under uncertainty: decision analysis and the margin of safety. J. of Contemporary Water Research and Education. Vol. 140, pp 37-52. https://onlinelibrary.wiley.com/doi/full/10.1111/j.1936-704X.2008.00027.x.

5.        Rafn, E., Contor, B., Ames, D.P., 2008. Evaluation of a method for estimating irrigated crop-evapotranspiration coefficients from remotely sensed data in Idaho. ASCE Journal of Irrigation and Drainage Engineering, 134(6), pp 722-729. https://ascelibrary.org/doi/full/10.1061/%28ASCE%290733-9437%282008%29134%3A6%28722%29.

4.        Michaelis, C., Ames, D.P., 2007. Evaluation of the OGC web processing service for use in a client-side GIS. OSGeo Journal 1:50-55. https://www.researchgate.net/publication/346043616_Evaluation_of_the_OGC_Web_Processing_Service_for_Use_in_a_Client-Side_GIS.

3.       Ames, D.P., Michaelis, C., and Dunsford, H., 2007. Introducing the MapWindow GIS Project. OSGeo Journal, Vol. 2, pp 13-16. https://www.researchgate.net/publication/346043045_Introducing_the_MapWindow_GIS_Project.

2.        Ames, D. P., 2006. Estimating 7Q10 Confidence Limits from Data: A Bootstrap Approach, ASCE J. Water Resources Planning and Management 132 (3): 204-208. https://ascelibrary.org/doi/full/10.1061/%28ASCE%290733-9496%282006%29132%3A3%28204%29.

1.       Ames, D. P., Neilson, B.T., Stevens, D.K., and Lall, U., 2005. Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study. Journal of Hydroinformatics 7(4): 267-282. https://iwaponline.com/jh/article/7/4/267/2997/Using-Bayesian-networks-to-model-watershed.

Books, Book Chapters, and Magazine Articles


  • Bolster, S., Ames, D.P., Nelson, E.J., (2013). Enabling Worldwide Water Data Sharing, NHWC Transmission, National Hydrologic Warning Council, Denver, Colorado.
  • Tarboton, D. G., Maidment, D., Zaslavsky, I., Ames, D. P., Goodall, J., & Horsburgh, J. S. (2012). CUAHSI Hydrologic Information System 2010 Status Report, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Washington, DC.
  • Jolma, A., Ames, D.P., Horning, N., Mitasova, H., Neteler, M., Racicot, A., and Sutton, T., (2012) Open-Source Tools for Environmental Modeling. Springer Handbook of Geographic Information, Part C, 597-619, DOI: 10.1007/978-3-540-72680-7_31.
  • Kadlec, J., & Ames, D. (2011). Design and development of web services for accessing free hydrological data from the Czech Republic. Environmental Software Systems. Frameworks of eEnvironment, 581-588. DOI: 10.1007/978-3-642-22285-6_63.
  • Baloch, M.A., Ames, D.P., Tanik A., 2011. Application of BASINS/HSPF in the Koycegiz–Dalyan watershed in Turkey: A developing country case study in watershed modeling. In River Basin Management VI, Transactions on Ecology and the Environment, Volume 146, Wessex Institute of Technology, UK, C.A. Brebbia, ed. pp 187-199.
  • Dunsford, Harold A., Ames, D.P. (2009). Restructuring of the MapWindow GIS project. PositionIT, April/May, pp 54-57.
  • Mohammad, W., Ames, D.P., Aburizaiza, A. 2009. MapWindow GIS 4.5 Users Guide. 80 pages, in Arabic.

Original Software


  • PVMapper/PVDesktop – Software for site selection, comparison, and design of large-scale photovoltaic solar energy production installations (see www.pvmapper.org)
  • LineSiter – Software for finding least cost optimal paths through GIS and Social Survey data for the placement of high voltage power lines (see linesiter.codeplex.com).
  • MAD – Community software for enabling inverse modeling using the Method of Anchored Distributions (see mad.codeplex.com).
  • HydroDesktop – This is an NSF funded element of the CUAHSI Hydrologic Information System for hydrologic data search, download, visualization and analysis (see www.hydrodesktop.org).
  • Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) 4.0 – Extending and enhancing this watershed modeling system under EPA funding (see BASINSLive.org).
  • MapWindow GIS Application and Programming Tools – 250,000 downloads, 9000 opt-in mailing list subscribers, users in >40 countries (see www.MapWindow.org).
  • Low Flow Calculator – Used to estimate 7Q10 low flow/drought return periods.