Laura Condon

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Courses

Scholarly Contributions

Journals/Publications

• Ma, Y., Leonarduzzi, E., Defnet, A., Melchior, P., Condon, L. E., & Maxwell, R. M. (2024). Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model. Groundwater, 62(1), 34-43.
• Swilley, J. S., Tijerina-Kreuzer, D. .., Tran, H. V., Zhang, J., Yang, C., Condon, L. E., & Maxwell, R. M. (2024). Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions. Groundwater, 62(1), 75-92.
• Tijerina-Kreuzer, D. .., Swilley, J. S., Tran, H. V., Zhang, J., West, B., Yang, C., Condon, L. E., & Maxwell, R. M. (2024). Continental Scale Hydrostratigraphy: Basin-Scale Testing of Alternative Data-Driven Approaches. Groundwater, 62(1), 93-110.
• Brookfield, A. E., Ajami, H., Carroll, R., Tague, C., Sullivan, P. L., & Condon, L. E. (2023). Recent advances in integrated hydrologic models: Integration of new domains. Journal of Hydrology, 620.
• Farley, A., & Condon, L. E. (2023). Exploring the Signal Filtering Properties of Idealized Watersheds Using Spectral Analysis. Advances in Water Resources, 178.
• Fuente, L. A., Gupta, H. V., & Condon, L. E. (2023). Toward a Multi-Representational Approach to Prediction and Understanding, in Support of Discovery in Hydrology. Water Resources Research, 59(1).
• Spinti, R. A., Condon, L. E., & Zhang, J. (2023). The evolution of dam induced river fragmentation in the United States. Nature Communications, 14(1).
• Tran, H., Yang, C., Condon, L. E., & Maxwell, R. M. (2023). The Budyko shape parameter as a descriptive index for streamflow loss. Frontiers in Water, 5.
• Triplett, A., & Condon, L. E. (2023). Climate-warming-driven changes in the cryosphere and their impact on groundwater-surface-water interactions in the Heihe River basin. Hydrology and Earth System Sciences, 27(14), 2763-2785.
• Yang, C., Ponder, C., Wang, B., Tran, H., Zhang, J., Swilley, J., Condon, L., & Maxwell, R. (2023). Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental-Scale. Journal of Advances in Modeling Earth Systems, 15(5).
• Yang, C., Tijerina-Kreuzer, D. T., Tran, H. V., Condon, L. E., & Maxwell, R. M. (2023). A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform. Journal of Hydrology, 626.
• Baru, C., Pozmantier, M., Altintas, I., Baek, S., Cohen, J., Condon, L., Fanti, G., Fernandez, R. C., Jackson, E., Lall, U., Landman, B., Li, H. H., Marin, C., Lopez, B. M., Metaxas, D., Olsen, B., Page, G., Shang, J., Turkan, Y., & Zhang, P. (2022). Enabling AI innovation via data and model sharing: An overview of the NSF Convergence Accelerator Track D. AI Magazine, 43(1), 93-104.
• Gallagher, L. K., Farley, A. J., Chennault, C., Cerasoli, S., Jourdain, S., O'Leary, P., Condon, L. E., & Maxwell, R. M. (2022). The ParFlow Sandtank: An interactive educational tool making invisible groundwater visible. Frontiers in Water, 4.
• Leonarduzzi, E., Tran, H., Bansal, V., Hull, R. B., Fuente, L., Bearup, L. A., Melchior, P., Condon, L. E., & Maxwell, R. M. (2022). Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate. Frontiers in Water, 4.
• Steyaert, J. C., Condon, L. E., W.D., T. S., & Voisin, N. (2022). ResOpsUS, a dataset of historical reservoir operations in the contiguous United States. Scientific Data, 9(1).
• Tran, H., Zhang, J., O???Neill, M., Ryken, A., Condon, L. E., & Maxwell, R. M. (2022). A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019. Scientific Data, 9(1).
• Condon, L. E., Kollet, S., Bierkens, M., Fogg, G. E., Maxwell, R. M., Hill, M. C., Fransen, H. H., Verhoef, A., Van, L., Sulis, M., & Abesser, C. (2021). Global Groundwater Modeling and Monitoring: Opportunities and Challenges. Water Resources Research, 57(12), e2020WR029500.
• Gallagher, L. K., Williams, J. M., Lazzeri, D., Chennault, C., Jourdain, S., O???leary, P., Condon, L. E., & Maxwell, R. M. (2021). Sandtank-ml: An educational tool at the interface of hydrology and machine learning. Water (Switzerland), 13(23).
• Gleeson, T., Wagener, T., D??ll, P., Zipper, S. C., West, C., Wada, Y., Taylor, R., Scanlon, B., Rosolem, R., Rahman, S., Oshinlaja, N., Maxwell, R., Lo, M., Kim, H., Hill, M., Hartmann, A., Fogg, G., Famiglietti, J. S., Ducharne, A., , De Graaf, I., et al. (2021). GMD perspective: The quest to improve the evaluation of groundwater representation in continental-to global-scale models. Geoscientific Model Development, 14(12), 7545-7571.
• Markovich, K. H., Condon, L. E., Carroll, K. C., Purtschert, R., & McIntosh, J. C. (2021). A Mountain-Front Recharge Component Characterization Approach Combining Groundwater Age Distributions, Noble Gas Thermometry, and Fluid and Energy Transport Modeling. Water Resources Research, 57(1), e2020WR027743.
• Maxwell, R. M., Condon, L. E., & Melchior, P. (2021). A physics-informed, machine learning emulator of a 2d surface water model: What temporal networks and simulation-based inference can help us learn about hydrologic processes. Water (Switzerland), 13(24).
• O'neill, M., Tijerina, D. T., Condon, L. E., & Maxwell, R. M. (2021). Assessment of the ParFlow-CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States. Geoscientific Model Development, 14(12), 7223-7254.
• Tijerina, D., Condon, L., FitzGerald, K., Dugger, A., O’Neill, M. M., Sampson, K., Gochis, D., & Maxwell, R. (2021). Continental Hydrologic Intercomparison Project, Phase 1: A Large-Scale Hydrologic Model Comparison Over the Continental United States. Water Resources Research, 57(7), e2020WR028931.
• Tran, H., Leonarduzzi, E., Fuente, L., Hull, R. B., Bansal, V., Chennault, C., Gentine, P., Melchior, P., Condon, L. E., & Maxwell, R. M. (2021). Development of a deep learning emulator for a distributed groundwater???surface water model: Parflow-ml. Water (Switzerland), 13(23).
• Turner, S. W., Steyaert, J. C., Condon, L., & Voisin, N. (2021). Water storage and release policies for all large reservoirs of conterminous United States. Journal of Hydrology, 603, 126843.
• Zhang, J., Condon, L. E., Tran, H., & Maxwell, R. M. (2021). A national topographic dataset for hydrological modeling over the contiguous United States. Earth System Science Data, 13(7), 3263-3279.
• Condon, L. E., Atchley, A. L., & Maxwell, R. M. (2020). Evapotranspiration depletes groundwater under warming over the contiguous United States. Nature Communications, 11(1), 873.
• Condon, L. E., Markovich, K. H., Kelleher, C. A., McDonnell, J. J., Ferguson, G., & McIntosh, J. C. (2020). Where Is the Bottom of a Watershed?. Water Resources Research, 56(3), e2019WR026010.
• Fayaz, N., Condon, L. E., & Chandler, D. G. (2020). Evaluating the Sensitivity of Projected Reservoir Reliability to the??Choice of Climate Projection: A Case Study of Bull Run Watershed, Portland, Oregon. Water Resources Management, 34(6), 1991-2009.
• Kuffour, B., Engdahl, N. B., Woodward, C. S., Condon, L. E., Kollet, S., & Maxwell, R. M. (2020). Simulating coupled surface–subsurface flows with ParFlow v3.5.0: capabilities, applications, and ongoing development of an open-source, massively parallel, integrated hydrologic model. Geosci. Model Dev., 13(3), 1373-1397.
• Purawat, S., Olschanowsky, C., Condon, L. E., Maxwell, R., & Altintas, I. (2020). Scalable workflow-driven hydrologic analysis in hydroframe. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12137 LNCS, 276-289.
• Rapp, G. A., Condon, L. E., & Markovich, K. H. (2020). Sensitivity of Simulated Mountain Block Hydrology to Subsurface Conceptualization. Water Resources Research, 56(10), e2020WR027714.
• Tran, H., Zhang, J., Cohard, J., Condon, L. E., & Maxwell, R. M. (2020). Simulating Groundwater-Streamflow Connections in the Upper Colorado River Basin. Groundwater, 58(3), 392-405.
• Van, D. P., Rajagopalan, B., Lawrence, D. J., Condon, L. E., Smillie, G., Gangopadhyay, S., & Pruitt, T. (2020). 21st Century flood risk projections at select sites for the U.S. National Park Service. Climate Risk Management, 28, 100211.
• de Graaf, I., Condon, L., & Maxwell, R. (2020). Hyper-Resolution Continental-Scale 3-D Aquifer Parameterization for Groundwater Modeling. Water Resources Research, 56(5), e2019WR026004.
• Condon, L. E., & Maxwell, R. M. (2019). Modified priority flood and global slope enforcement algorithm for topographic processing in physically based hydrologic modeling applications. Computers & Geosciences, 126, 73-83.
• Condon, L. E., & Maxwell, R. M. (2019). Simulating the sensitivity of evapotranspiration and streamflow to large-scale groundwater depletion. Science Advances, 5(6), eaav4574.
• Hein, A., Condon, L., & Maxwell, R. (2019). Evaluating the relative importance of precipitation, temperature and land-cover change in the hydrologic response to extreme meteorological drought conditions over the North American High Plains. Hydrology and Earth System Sciences, 23(4), 1931-1950.
• Markovich, K. H., Manning, A. H., Condon, L. E., & McIntosh, J. (2019). Mountain-Block Recharge: A Review of Current Understanding. Water Resources Research, 55(11), 8278-8304.
• Maxwell, R. M., Condon, L. E., Danesh-Yazdi, M. .., & Bearup, L. A. (2019). Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach. Ecohydrology, 12(1).
• Danesh-Yazdi, M. .., Klaus, J., Condon, L. E., & Maxwell, R. M. (2018). Bridging the gap between numerical solutions of travel time distributions and analytical storage selection functions. Hydrological Processes, 32(8), 1063-1076.
• Ehmann, K., Kelleher, C., & Condon, L. E. (2018). Monitoring turbidity from above: Deploying small unoccupied aerial vehicles to image in-stream turbidity. Hydrological Processes, 0(ja).
• Hein, A., Condon, L., & Maxwell, R. (2018). Unravelling the impacts of precipitation, temperature and land-cover change for extreme drought over the North American High Plains. Hydrol. Earth Syst. Sci. Discuss., 2018, 1-30.
• Kelleher, C. C., Sholz, C. A., Condon, L. E., & Reardon, M. (2018). Drones in geoscience research: The sky is the only limit. Eos, 99. doi:https://doi.org/10.1029/2018EO092269
• Maxwell, R. M., Condon, L. E., Danesh-Yazdi, M., & Bearup, L. A. (2018). Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach. Ecohydrology, 0(0), e2042.
• Condon, L. E., & Maxwell, R. M. (2017). Systematic shifts in Budyko relationships caused by groundwater storage changes. Hydrology and Earth System Sciences, 21(2), 1117-1135.
• Maxwell, R. M., & Condon, L. E. (2016). Connections between groundwater flow and transpiration partitioning. Science, 353(6297), 377-380.
• Maxwell, R. M., Condon, L. E., Kollet, S. J., Maher, K., Haggerty, R., & Forrester, M. M. (2016). The imprint of climate and geology on the residence times of groundwater. Geophysical Research Letters, 43(2), 701-708.
• Bierkens, M., Bell, V. A., Burek, P., Chaney, N., Condon, L. E., David, C. H., Roo, A., D??ll, P., Drost, N., Famiglietti, J. S., Fl??rke, M., Gochis, D. J., Houser, P., Hut, R., Keune, J., Kollet, S., Maxwell, R. M., Reager, J. T., Samaniego, L., , Sudicky, E., et al. (2015). Hyper-resolution global hydrological modelling: What is next?: "Everywhere and locally relevant" M. F. P. Bierkens et al. Invited Commentary. Hydrological Processes, 29(2), 310-320.
• Condon, L. E., & Maxwell, R. M. (2015). Evaluating the relationship between topography and groundwater using outputs from a continental-scale integrated hydrology model. Water Resources Research, 51(8), 6602-6621.
• Condon, L. E., Gangopadhyay, S., & Pruitt, T. (2015). Climate change and non-stationary flood risk for the upper Truckee River basin. Hydrology and Earth System Sciences, 19(1), 159-175.
• Condon, L. E., Hering, A. S., & Maxwell, R. M. (2015). Quantitative assessment of groundwater controls across major US river basins using a multi-model regression algorithm. Advances in Water Resources, 82, 106-123.
• Maxwell, R. M., Condon, L. E., & Kollet, S. J. (2015). A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3. Geoscientific Model Development, 8(3), 923-937.
• Condon, L. E., & Maxwell, R. M. (2014). Feedbacks between managed irrigation and water availability: Diagnosing temporal and spatial patterns using an integrated hydrologic model. Water Resources Research, 50(3), 2600-2616.
• Condon, L. E., & Maxwell, R. M. (2014). Groundwater-fed irrigation impacts spatially distributed temporal scaling behavior of the natural system: A spatio-temporal framework for understanding water management impacts. Environmental Research Letters, 9(3).
• Condon, L. E., & Maxwell, R. M. (2013). Implementation of a linear optimization water allocation algorithm into a fully integrated physical hydrology model. Advances in Water Resources, 60, 135-147.
• Condon, L. E., Maxwell, R. M., & Gangopadhyay, S. (2013). The impact of subsurface conceptualization on land energy fluxes. Advances in Water Resources, 60, 188-203.
• Gong, G., Wang, L., Condon, L., Shearman, A., & Lall, U. (2010). A Simple framework for incorporating seasonal streamflow forecasts into existing water resource management practices1. Journal of the American Water Resources Association, 46(3), 574-585.

Presentations

• Condon, L. E. (2022, January). Groundwater-surface water modeling at the continental: scale Scientific advances, research opportunities and the need for community infrastructure. Columbia University, Civil and Environmental EngineeringColumbia University.
• Condon, L. E. (2021, April). Hydrologic Modeling at the Continental Scale: Exploring the Role of Data Science in Discovery and Innovation. Women in Data Science Conference Tucson.
• Condon, L. E. (2021, April). Water Beneath our Feet. University of Arizona, College of Science Public Lecture Series. Virtual: University of Arizona.
• Condon, L. E. (2021, September). Advacing continental scale data for water systems modeling. Human Water Systems Webinar Series.
• Condon, L. E., Maxwell, R. M., Basnal, V., Bearup, L. A., Chennault, C., Gallagher, L. K., Gangopadhyay, S., Hull, R., Kreitzberg, C., Leonarduzzi, E., Melchior, P., Merchant, N., Skidmore, E., Swetnam, T., Spraragen, S., Tran, H., & Williams, J. M. (2021, December). Lessons learned designing the HydroGEN machine learning platform for hydrologic exploration: a story of collaboration between hydrologic scientists, software developers, machine learning researchers and water managers. American Geophysical Union Fall Meeting.
• Purtschert, R., Carroll, K., Ferguson, G., Lotter, L. E., Noyes, C., Markovich, K., & Mcintosh, J. C. (2021, July). Application of 85Kr, 3H, 39Ar, and 14C, noble gas thermometry, and modeling to constrain mountain front recharge to basin-fill aquifers. Goldschmidt Virtual Conference.
• Lotter, L. E. (2020, February). Groundwater-surface water interactions across the US: Evaluating the past and future role of the subsurface in hydrologic systems. Water, Energy, and Policy in a Changing Climate Conference. Albuquerque, NM: National Groundwater Association.
• Lotter, L. E. (2020, February). Using integrated models to evaluate human impacts on groundwater surface water interactions. Invited Seminar Arizona State University School of Sustainable Engineering and the Built Environment. Phoenix Arizona: Arizona State University.
• Lotter, L. E. (2020, October). Advancing cyberinfrastructure and machine learning frameworks for Integrated hydrologic modeling at the continental scale. University of ArizonaTRIPODS seminar. Virtual: University of Arizona.
• Lotter, L. E. (2020, October). Exploring the role of groundwater storage in watershed variability across spatial scale. Geological Society of America Annual Meeting. Virtual: Geological Society of America.
• Lotter, L. E., Kathherine, M., Rapp, G., Carroll, K. C., Purtsch, R., & Jennifer, M. (2020, December). Combining environmental tracers and numerical modeling to estimate mountain-front recharge components in the Tucson Basin. American Geophysical Union Fall Meeting. Virtual: American Geophysical Union.
• Lotter, L. E., Steyaert, J., & Spinti, R. (2020, May). Evaluating Historical Impacts of Surface Reservoir Storage on Catchment Memory Across the US . European Geophysical Union General Assembly. Virtual: European Geophysical Union.
• Condon, L. E. (2019, November). Using Integrated Models to Assess the Role of Groundwater – Surface Water Interactions in Watershed Behavior across the U.S.. Arizona Hydrological Society Meeting. Tucson, AZ: Arizona Hydrological Society.
• Katherine, M. H., Lotter, L. E., Kubicki, C. W., Carroll, K. C., & Mcintosh, J. C. (2019, December). Disentangling age distributions of long-screened production wells for quantifying mountain-block recharge. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Katherine, M. H., Lotter, L. E., Kubicki, C. W., Carroll, K. C., & Mcintosh, J. C. (2019, September). A multi-tracer approach for characterizing mountain-block recharge: Case study of the Tucson basin in southeastern Arizona. Geological Society of America Annual Meeting. Phoenix, AZ: Geological Society of America.
• Lotter, L. E. (2019, April). Using integrated models to assess the role of groundwater surface water interactions in watershed behavior across the US.. Invited Seminar Washigton State University. Washington State University: Washington State University Department of Civil and Environmental Engineering.
• Lotter, L. E. (2019, December). Integrated hydrologic modeling at the continental scale; scientific advances and research needs. Water Resources Research Center Seminar Series. Tucson, AZ: Water Resources Research Center.
• Lotter, L. E. (2019, December). Warming versus groundwater pumping: comparing the hydrologic implications of persistent top down and bottom up trends across the US. American Geophysical Union Fall meeting. San Francisco, CA: American Geophysical Union.
• Lotter, L. E. (2019, Jun). Using integrated models to evaluate the role of groundwater in watershed partitioning across the continental US. MODFLOW and More Conference. Golden, CO: Integrated Groundwater Modeling Center.
• Lotter, L. E. (2019, March). Assessing Groundwater Surface Water Interactions in Managed and Natural Systems.. Department Seminar. Boise State: Boise State University Department of Geosciences.
• Lotter, L. E. (2019, October). Using models to evaluate human impacts on groundwater surface water interactions. Chapman Conference on the Quest for Sustainability of Heavily Stressed Aquifers at Regional to Global Scales. Valencia, Spain: National Science Foundation.
• Lotter, L. E., & Maxwell, R. M. (2019, April). Exploring the impacts of topographic representation on large scale hydrologic simulations: a modified algorithm for physically based modeling applications. European Geophysical Union Annual Meeting. Vienna, Auatria: European Geophysical Union.
• Rapp, G. A., Lotter, L. E., & Markovich, K. H. (2019, September). Sensitivity of mountain-block hydrology to heterogeneous soil depth and recharge. Geological Society of America Annual Meeting. Phoenix, AZ: Geological Society of America.
• Zhang, J., Lotter, L. E., Tran, H., & Maxwell, R. (2019, December). The effect of topographic processes on runoff simulation over the continental US. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Condon, L. E. (2018, May). Challenges and Opportunities Building Continental Scale Hydrologic Models. Department of Energy (DOE), Environmental System Science (ESS) Principal Investigator (PI) Meeting.
• Condon, L. E., & Maxwell, R. M. (2018, April). Advances in hyper-resolution integrated modeling of the Continental US and applications for transport modeling . European Geophysical Union General Assembly (EGU). Vienna, Austria.
• Condon, L. E., Atchley, A. A., & Maxwell, R. M. (2018, June). Evaluating the response of groundwater–surface water interactions to moisture and temperature stress using an integrated hydrologic model. Computational Methods in Water Resources. Saint Malo, France.
• Lotter, L. E., Atchley, A. L., & Maxwell, R. M. (2020, January). Evaluating Groundwater Surface Water Interactions across the continental US with an Integrated Hydrologic Model. American Meteorological Society Annual Meeting, Annual Meeting. Phoenix, AZ: American Meteorological Society Annual Meeting,.
• Maxwell, R. M., Condon, L. E., Smith, S. G., Forester, M. M., Tijerina, D., Foster, L., FitzGerald, K., Collins, C., & Gochis, D. (2018, December). Using integrated, continental scale hydrologic simulation to unravel interconnections and feedbacks. American Geophysical Union Fall Meeting. Washington, DC.
• Thatch, L. M., Maxwell, R. M., Gilbert, J. M., & Condon, L. E. (2018, December). Evaluating Groundwater Use and Sustainability in the California Central Valley: Using Remote Sensing Data to Dynamically Constrain Groundwater Extraction Rates in an Integrated Hydrologic Model. American Geophysical Union Fall Meeting. Washington, DC.
• Lotter, L. E. (2020, January). Evaluating the Sensitivity of Surface Water Systems to Large-Scale Groundwater Depletion across the US. California Irrigation Institute Annual Conference. Sacramento, CA: California Irrigation Institute.

Poster Presentations

• Burke, M., Olschanowsky, C., Lotter, L. E., & Maxwell, R. (2019, December). Improving the software architecture for a continental scale integrated modeling framework for better software productivity: Boundary Conditions, Programming Abstractions, and Developments in the ParFlow modeling platform. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Forrester, M. M., Condon, L. E., & Maxwell, R. (2019, December). Hydrologic Representation Complexity in Land Surface Models Influences GRACE Signal Restoration in Forward Modeling Approaches. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Rapp, G. A., Lotter, L. E., & Markovich, K. H. (2019, December). Sensitivity of simulated mountain-block hydrology to heterogeneous soil depth and recharge. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Tran, H., Zhang, J., Forrester, M. M., Condon, L. E., & Maxwell, R. (2019, December). Assessing the impact of lateral groundwater flow on flood risk in the Upper Colorado River Basin. American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Condon, L. E. (2018, May). Evaluating the role of groundwater in integrated hydrologic simulations: Potential Applications for Information Theory. Second Workshop on Information Theory and the Earth Sciences. Santander, Spain.
• Condon, L. E., Atchley, A., & Maxwell, R. (2018, December). Simulating groundwater surface water interactions across the continental US with an integrated hydrologic model. American Geophysical Union Fall Meeting. Washington, DC.
• Condon, L. E., Maxwell, R. M., Smith, S., Woodward, C. S., Osei-Kuffor, D., & Moulton, D. (2018, April). Lessons learned developing hyper-resolution hydrologic simulations of the Continental USLessons learned developing hyper-resolution hydrologic simulations of the Continental US. European Geophysical Union General Assembly (EGU). Vienna, Austria.
• Condon, L. E., Moulton, D., Gochis, D., Smith, S., Woodward, C., Atchley, A., Hector, B., Tijerina, D., Forester, M. M., Dugger, A., Yu, W., FitGerald, K., & Maxwell, R. (2018, May). Advances in Hyper-Resolution Integrated Modeling of the Continental US and Connections to the National Water Model. Department of Energy (DOE), Environmental System Science (ESS) Principal Investigator (PI) Meeting. Potomac, MD.
• Forrester, M. M., Maxwell, R., Condon, L. E., & Hector, B. (2018, December). Controls on interannual storage changes in a continental scale integrated hydrologic model and comparisons to GRACE. American Geophysical Union Fall Meeting. Washington, DC.
• Van Dusen, P., Rajogopalan, B., Lawrence, D., Condon, L. E., Smilie, G., Gangopadhyay, S., & Pruitt, T. (2018, December). Nonstationary extreme value models for assessing flood risk at seasonal and multidecadal time scales in U.S. National Parks. American Geophysical Union Fall Meeting.