Publications of the Center
Journal articles, reports, and products
Journal Articles
The Center for Hydrologic Innovations builds on the efforts of our faculty, researchers, and graduate students since 2020 in the support of our programs, solution spaces, and tools. The following organization of our peer-reviewed journal articles is based on science and engineering topics with contributions from all of our labs.
Urban Climate and Land-Atmosphere Interactions
Kindler, M., Vivoni, E.R., Perez-Ruiz, E.R., and Wang, Z. 2022. Water Conservation Potential of Modified Turf Grass Irrigation in Urban Parks of Phoenix, Arizona. Ecohydrology. 15(3): eco.2339.
Vivoni, E.R., Kindler, M., Wang, Z., and Perez-Ruiz, E.R. 2020. Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions. Geophysical Research Letters. 47: e2020GL090123.
Perez-Ruiz, E.R., Vivoni, E.R., and Templeton, N.P. 2020. Urban Land Cover Type Determines the Sensitivity of Carbon Dioxide Fluxes to Precipitation in Phoenix, Arizona. PLOS One. 15(2): e0228537.
Precipitation and Streamflow Characteristics
Alonso Vicario, S., Hornberger, G.M., Mazzoleni, M., and Garcia, M. 2025. Drivers and trends of streamflow droughts in natural and human-impacted basins across the contiguous United States. Journal of Hydrology. 655: 132908.
Alshehri, M., Mascaro, G., and Kunkel, K.E. 2024. On the Generating Mechanisms of Daily Precipitation in the Conterminous United States: Climatology, Trends, and Associated Marginal and Extreme Distributions. Journal of Hydrometeorology. 25(12): 1895-1914.
de la Fraga, P., Del Toro-Guerrero, F.J., Vivoni, E.R., Cavazos, T., and Kretzschmar, T. 2024. Evaluation of Gridded Precipitation Datasets in Mountainous Terrains of Northwestern Mexico. Journal of Hydrology: Regional Studies. 56: 102019.
Mascaro, G. 2024. On the Power of Popular Two-sample Tests Applied to Precipitation and Discharge Series. Stochastic Environmental Research and Risk Assessment. 38: 2747-2765.
Ansh Srivastava, N., and Mascaro, G. 2023. Improving the Utility of Weather Radar for the Spatial Frequency Analysis of Extreme Precipitation. Journal of Hydrology. 624: 129902.
Mascaro, G., Papalexiou, S., and Wright, D. 2023. Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation. Advances in Water Resources. 177: 104451.
Rahill-Marier, B., Devineni, N., and Lall, U. 2022. Modeling Spatial Fields of Extreme Precipitation – A Hierarchical Bayesian Approach. Hydrology and Earth System Sciences. 26(21): 5685-5695.
Huang, J., Fatichi, S., Mascaro, G., Manoli, G., and Peleg, N. 2022. Intensification of Sub-daily Rainfall Extremes in a Low-rise Urban Area. Urban Climate. 42: 101124.
Farris, S., Deidda, R., Viola, F., and Mascaro, G. 2021. On the Role of Serial Correlation and Field Significance in Detecting Changes in Extreme Precipitation Frequency. Water Resources Research. 57: e2021WR030172.
Mascaro, G. 2020. Comparison of Local, Regional, and Scaling Models for Rainfall Intensity-Duration-Frequency Analysis. Journal of Applied Meteorology and Climatology. 59(9): 1519-1536.
Hydrological Processes in Watersheds and Natural Ecosystems
Abdelmoaty, H.M., Papalexiou, S.M., Nerantzaki, S., Mascaro, G., Gaur, A., Lu, H., Clark, M.P., and Markonis, Y. 2024. Snow Depth Time Series Generation: Effective Simulation at Multiple Time Scales. Journal of Hydrology X. 23: 100177.
Alonso Vicario, S., Hornberger, G.M., Mazzoleni, M., and Garcia, M. 2024. The Importance of Climate and Anthropogenic Influence in Precipitation Partitioning in the contiguous United States. Journal of Hydrology. 633: 130984.
Keller, Z.T., Vivoni, E.R., Kimsal, C.R., Robles-Morua, A., and Perez-Ruiz, E.R. 2023. Hillslope to Channel Hydrologic Connectivity in a Dryland Ecosystem. Ecosphere. 14(11): e4707.
Vivoni, E.R., Perez-Ruiz, E.R., Scott, R.L., Naito, A.T., Archer, S.R., Biederman, J.A., and Templeton, N.P. 2022. A Micrometeorological Flux Perspective on Brush Management in a Shrub-encroached Sonoran Desert Grassland. Agricultural and Forest Meteorology. 313: 108763.
Perez-Ruiz, E.R., Vivoni, E.R., and Sala, O.E. 2022. Seasonal Carryover of Water and Effects on Carbon Dynamics in a Dryland Ecosystem. Ecosphere. 13(7): e4189.
Vivoni, E.R., Perez-Ruiz, E.R., Keller, Z.T., Escoto, E.A., Templeton, R.C., Templeton, N.P., Anderson, C.A., Schreiner-McGraw, A.P., Mendez-Barroso, L.A., Robles-Morua, A., Scott, R.L., Archer, S.R., and Peters, D.P.C. 2021. Long-term Research Catchments to Investigate Shrub Encroachment in the Sonoran and Chihuahuan Deserts: Santa Rita and Jornada Experimental Ranges. Hydrological Processes. 35: e14031.
Groundwater Changes and Sustainability
Mishra, V., Danger, S., Tiwari, V.M., Lall, U., and Wada, Y. 2024. Summer Monsoon Drying Accelerates India’s Groundwater Depletion Under Climate Change. Earth’s Future. 12(8): e2024EF004516.
Zeng, R., Yao, C., Cai, X., and Haacker, E. 2023. Temporal and Spatial Pattern Change in Evapotranspiration Over the High Plains: The Impact of and Guide on Extensive Groundwater-Fed Irrigation. Water Resources Research. 59(12): e2023WR035004
Liu, P-W., Famiglietti, J.S., Purdy, A.J., Adams, K.H., McEvoy, A.L., Reager, J.T., Bindlish, R., Wiese, D.N., David, C.H., and Rodell., M. 2022. Groundwater Depletion in California’s Central Valley Accelerates During Megadrought. Nature Communications. 13: 7825.
Adams, K.H., Reager, J.T., Rosen, P., Wiese, D.N., Farr, T.G., Rao, S., Haines, B.J., Argus, D.F., Liu, Z., Smith, R., Famiglietti, J.S., and Rodell, M. 2022. Remote Sensing of Groundwater: Current Capabilities and Future Directions. Water Resources Research. 58(10): e2022WR032219.
Surface Water Detection and Characterization
Wang, Z., and Vivoni, E.R. 2022. Detecting Streamflow in Dryland Rivers using CubeSats. Geophysical Research Letters. 49(15): e2022GL098729.
Wang, Z., and Vivoni, E.R. 2022. Mapping Flash Flood Hazards in Arid Regions using CubeSats. Remote Sensing. 14(17): 4218.
Agricultural and Watershed Management
Wei, S., and Xu, T. 2025. An LSTM Approach to Deciphering Irrigation Operations from Remote Sensing and Groundwater Levels Records. Agricultural Water Management. 308: 109273.
Wei, S., Xu, T., Niu, G-Y., and Zeng, R. 2022. Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains. Remote Sensing. 14(3): 3004.
Sridharan, V.K., Kumar, S., and Kumar, S.M. 2022. Can Remote Sensing Fill the United States’ Monitoring Gap for Watershed Management? Water. 14(3): 1985.
Sadri, S., Famiglietti, J.S., Pan, M., Beck, H., Berg, A., and Wood, E.F. 2022. FarmCan: Developing a Physical, Statistical, and Machine Learning Model to Forecast Crop Water Deficit at Farm Scales. Hydrology and Earth System Sciences. 6(20): 5373-5390.
Infrastructure and Hydrologic Extremes
Longyang, Q., and Zeng, R. 2024. Assessing the Effectiveness of Reservoir Operation and Identifying Reallocation Opportunities under Climate Change. Environmental Research Letters. 19(7): 074010.
Larrauri, P.C., Lall, U., and Hariri-Ardebili, M. 2023. Needs for Portfolio Risk Assessment of Aging Dams in the United States. Journal of Water Resources Planning and Management. 149(3): 04022083.
Shrestha, A., Mascaro, G., and Garcia, M. 2022. Effects of Stormwater Infrastructure Data Completeness and Model Resolution on Urban Flood Modeling. Journal of Hydrology. 607: 127498.
Garcia, M., Yu, D., Park, S., Iravanloo, B. M., Bahambari, P. Y., and Sivapalan, M. 2022. Weathering Water Extremes and Cognitive Biases in a Changing Climate. Water Security. 15: 100110.
Underwood, B.S., Mascaro, G., Chester, M.V., Fraser, A., Lopez-Cantu, T., and Samaras, C. 2020. Past and Present Design Practices and Uncertainty in Climate Projections are Challenges for Designing Infrastructure to Future Conditions. Journal of Infrastructure Systems. 26(3): 04020026.
Urban Monitoring, Flooding and Green Infrastructure
Shrestha, A., Garcia, M., and Doerry, E. 2024. Leveraging Catchment-scale Automated Novel Data Collection Infrastructure to Advance Urban Hydrologic-Hydraulic Modeling. Environmental Modeling and Software. 178: 106046.
Shrestha, A., and Garcia, M. 2023. Influence of Precipitation Uncertainty and Land Use Change on the Optimal Catchment Scale Green Infrastructure Configuration. Journal of Sustainable Water and the Built Environment. 9(2): 04023001.
Lara-Valencia, F., Garcia, M., Norman, L.M., Morales, A.A., and Castellanos-Rubio, E.E. 2022. Integrating Urban Planning and Water Management through Green Infrastructure in the United States-Mexico Border. Frontiers in Water. 4: 782922.
Helmrich, A.M., Ruddell, B.L., Chester, M., Bessem, K., Chohan, N., Doerry, E., Eppinger, J., Garcia, M., Goodall, J.L., Lowry, C., and Zahura, F. 2021. Opportunities for Crowdsourcing in Urban Flood Monitoring. Environmental Modelling and Software. 143: 105124.
Infrastructure Operations, Planning and Policy
Lawless, K.L., Garcia, M., and White, D.D. 2024. Institutional Analysis of Water Governance in the Colorado River Basin, 1922–2022. Frontiers in Water. 6: 1451854.
Azizi, K., Hornberger, G.M., Baggio, J., Koebele, E.A., Anderies, J.M., and Garcia, M. 2024. Identifying Conditions that Support the Provision of High-Quality and Affordable Urban Drinking Water in the US. Journal of Water Resources Planning and Management. 150(8): 04024024.
Wiechman, A., Alonso Vicario, S., Anderies, J.M., Garcia, M., Azizi, K., and Hornberger, G. 2024. Institutional Dynamics Impact the Response of Urban Socio-Hydrological Systems to Supply Challenges. Water Resources Research. 60(2): e2023WR035565.
Longyang, Q. and Zeng, R. 2023. A Hierarchical Temporal Scale Framework for Data-Driven Reservoir Release Modeling. Water Resources Research. 59(6): e2022WR033922.
Garcia, M., and Islam S. 2021. Water Stress & Water Salience: Implications for Water Supply Planning. Hydrological Sciences Journal. 66(6): 919-934.
Chester, M., Underwood, S., Allenby, B., Garcia, M., Samaras, C., Markolf, S., Sanders, K., Preston, B., and Miller, T. 2021. Infrastructure Resilience to Navigate Increasingly Uncertain and Complex Conditions in the Anthropocene. Nature Urban Sustainability. 1: 4.
Garcia, M., Ridolfi, E., and di Baldassarre, G. 2020. The Interplay between Reservoir Storage and Operating Rules under Evolving Conditions. Journal of Hydrology. 590: 125270.
Colorado River Basin Modeling with Stakeholders
Wang, Z., Vivoni, E.R., Whitney, K.M., Xiao, M., and Mascaro, G. 2024. On the Sensitivity of Future Hydrology in the Colorado River to the Precipitation Partitioning Method. Water Resources Research. 60(6): e2023WR035801.
Whitney, K.M., Vivoni, E.R., and White, D.D. 2023. Enhancing the Accessibility and Interactions of Regional Hydrologic Projections for Water Managers. Environmental Modelling and Software. 167: 105763.
Whitney, K.M., Vivoni, E.R., Wang, Z., White, D.D., Quay, R., Mahmoud, M.I., and Templeton, N.P. 2023. A Stakeholder Engaged Approach to Anticipating Forest Disturbance Impacts in the Colorado River Basin under Climate Change. Journal of Water Resources Planning and Management. 149(7): 04023020.
Whitney, K.M., Vivoni, E.R., Bohn, T.J., Mascaro, G., Wang, Z., Xiao, M., Mahmoud, M.I., Cullom, C., and White, D.D. 2023. Spatial Attribution of Declining Colorado River Streamflow under Future Warming. Journal of Hydrology. 617(C): 129125.
Xiao, M., Mascaro, G., Wang, Z., Whitney, K.M., and Vivoni, E.R. 2022. On the Value of Satellite Remote Sensing to Reduce Uncertainties in Regional Simulations of the Colorado River. Hydrology and Earth System Sciences. 26(21): 5627-5646.
Erlingis, J.M., Rodell, M., Peters-Lidard, C.D., Li, B., Kumar, S.V., Famiglietti, J.S., Granger, S.L., Liu, P-W. and Mocko, D.M. 2021. A High-resolution Land Data Assimilation System Optimized for the Western United States. Journal of the American Water Resources Association. 57(5): 692-710.
Hydrologic Modeling and Assessments in Arizona
Su, X., Dai, Q., Yao, C., Gupta, N., Korgaonkar, Y., Milczarek, M., Tong, D. and Xu, T. 2025. Stormwater Capture as a Pathway to Enhance Groundwater Recharge: A Potential Assessment in Arid to Semi-Arid Urban Landscapes. City and Environment Interactions. 100190.
Raming, L.W., Vivoni, E.R., Cederstrom, C.J., Hossain, M.A., and Becerra, J.A. 2025. pytRIBS: An Open, Modular, and Reproducible Python-based Framework for Distributed Hydrologic Modeling. Environmental Modelling and Software. 188: 106432.
Raming, L.W., Vivoni, E.R., Mascaro, G., Cederstrom, C.J., Ko, A., Schreiner-McGraw, A.P., and Lizarraga-Celaya, C. 2024. tRIBS v5.2: A Multi-Resolution, Parallel Platform for Tributary Hydrology in Forest Applications. Journal of Open Source Software. 9(101): 6747.
Cederstrom, C.J, Vivoni, E.R., Mascaro, G., and Svoma, B. 2024. Forest Thinning Effects on Watershed Responses under Warming. Water Resources Research. 60(6): e2023WR035627.
Guan, X., and Mascaro, G. 2023. Impacts of Climate Change on the Food-Water Nexus in central Arizona. Agricultural and Forest Meteorology. 333: 109413.
Mascaro, G., Hussein, A., Dugger, A., and Gochis, D.J. 2023. Process-based Calibration of WRF-Hydro in a Mountainous Basin in Southwestern U.S. Journal of the American Water Resources Association. 59(1): 49-70.
Wang, Z., and Vivoni, E.R. 2022. Individualized and Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Use in Central Arizona. Journal of the American Water Resources Association. 58(3): 370-387.
Hjelmstad, A., Shrestha, A., Garcia, M., and Mascaro, G. 2021. Propagation of Radar Rainfall Uncertainties into Urban Pluvial Flood Modeling during the North American Monsoon. Hydrological Sciences Journal. 66(15): 2232-2248.
Wang, Z., Vivoni, E.R., Bohn, T.J., and Wang, Z-H. 2021. A Multiyear Assessment of Irrigation Cooling Capacity in Agricultural and Urban Settings of Central Arizona. Journal of the American Water Resources Association. 57(5): 771-788.
Hydrologic Modeling and Assessments in Other Locations
Garcia, M., Iravanloo, B.M., and Sivapalan, M. 2024. A Diagnostic Approach to Modeling Watersheds with Human Interference. Journal of Hydrology. 641: 131823.
Machine and Deep Learning Modeling
Ren, W., Zhu, Z., Wang, Y., Su, J., Zeng, R., Zeng, D., and Li, X. 2024. Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia. Remote Sensing. 16(6): 956.
Hariri-Ardebili, M.A., Mahdavi, G., Nuss, L.K., and Lall, U. 2023. The Role of Artificial Intelligence and Digital Technologies in Dam Engineering: Narrative Review and Outlook. Engineering Applications of Artificial Intelligence. 126: 106813.
Tyson, C., Longyang, Q., Neilson, B.T., Zeng, R., and Xu, T. 2023. Effects of Meteorological Forcing Uncertainty on High-resolution Snow Modeling and Streamflow Prediction in a Mountainous Karst Watershed. Journal of Hydrology. 619: 129304.
Xu, T., Longyang, Q., Tyson, C., Zeng, R. and Neilson, B.T., 2022. Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed. Water Resources Research. 58(3): e2021WR030993.
Razavi, S., Hannah, D.M., Elshorbagy, A., Kumar, S., Marshall, L., Solomatine, D.P., Dezfuli, A., Sadegh, M., and Famiglietti, J.S. 2022. Coevolution of Machine Learning and Process-based Modelling to Revolutionize Earth and Environmental Sciences: A Perspective. Hydrological Processes. 36(6): e14596.
Xu, T. and Liang, F., 2021. Machine Learning for Hydrologic Sciences: An Introductory Overview. Wiley Interdisciplinary Reviews: Water. 8(5): e1533.
Surrogate Modeling of Hydrologic Systems
Longyang, Q., and Zeng, R. 2024. Hydrological Impact of Remotely Sensed Interannual Vegetation Variability in the Upper Colorado River Basin. Water Resources Research. 60(9): e2023WR035662.
Li, P., Xu, T., Wei, S., and Wang, Z-H. 2022. Multi-objective Optimization of Urban Environmental System Design using Machine Learning. Computers, Environment and Urban Systems. 94: 101796.
Ivanov, V.Y., Dwelle, M.C., Xu, D., Sargsyan, K., Wright, D., Katopodes, N., Kim, J., Tran, V.N., Warnock, A., Fatichi, S., Burlando, P., Caporali, E., Restrepo, P., Sanders, B., Chaney, M., Nunes, A.M.B., Nardi, F., Vivoni, E.R., Istanbulluoglu, E., Bisht, G., and Bras, R.L. 2021. Breaking Down the Computational Barriers to Real-Time Urban Flood Forecasting. Geophysical Research Letters. 48(20): e2021GL093585.