DRI / DIRECTORY / GUO YU
Guo Yu Profile Photo
Dr. Guo Yu
Assistant Research Professor, Hydrometeorology

Keywords

Hydroclimate Extremes; Process-based Hydrologic Modeling; Rainfall and Flood Frequency Analyses; Climate Change Impact Studies

 

Publications
2024
Zoccatelli, D., Wright, D., White, J., Fienen, M., & Yu, G. (2024). Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers. Advances in Water Resources, 186, 104658. https://doi.org/10.1016/j.advwatres.2024.104658

Jiang, S., Tarasova, L., Yu, G., & Zscheischler, J. (2024). Compounding effects in flood drivers challenge estimates of extreme river floods. Science Advances, 10(13). AAAS. https://doi.org/10.1126/sciadv.adl4005

Jiang, S., Sweet, L., Blougouras, G., Brenning, A., Li, W., Reichstein, M., Denzler, J., Shangguan, W., Yu, G., Huang, F., & Zscheischler, J. (2024). How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth’s Future, 12(7), e2024EF004540. John Wiley & Sons, Ltd. https://doi.org/10.1029/2024EF004540

Yu, G., Jennings, K., Hatchett, B. J., Nolin, A., Hur, N., Collins, M. J., Heggli, A. E., Tonino, S. L., & Arienzo, M. M. (2024). Crowdsourced Data Reveal Shortcomings in Precipitation Phase Products for Rain and Snow Partitioning, 51(24), e2024GL112853. Geophysical Research Letters. https://doi.org/10.1029/2024GL112853

2023
Yu, G., Miller, J. J., Hatchett, B. J., Berli, M., Wright, D. B., McDougall, C., & Zhu, Z. (2023). The Nonstationary Flood Hydrology of an Urbanizing Arid Watershed. Journal of Hydrometeorology, 24(1), 87-104. https://doi.org/10.1175/JHM-D-22-0117.1

Yu, G., Hatchett, B. J., Miller, J. J., Berli, M., Wright, D. B., & Mejia, J. F. (2023). Seasonal Storm Characteristics Govern Urban Flash Floods: Insights from the Arid Las Vegas Wash Watershed. Journal of Hydrometeorology, 24(11), 2105–2123. https://doi.org/10.1175/JHM-D-23-0002.1

Li, C., Yu, G., Wang, J., & Horton, D. (2023). Toward Improved Regional Hydrological Model Performance Using State-Of-The-Science Data-Informed Soil Parameters. Water Resources Research, 59(9), e2023WR034431. John Wiley & Sons, Ltd. https://doi.org/10.1029/2023WR034431

Yu, G., Feng, Y., Wang, J., & Wright, D. (2023). Performance of Fire Danger Indices and Their Utility in Predicting Future Wildfire Danger Over the Conterminous United States. Earth’s Future, 11(11), e2023EF003823. https://doi.org/10.1029/2023EF003823

Yu, G., Liu, T., McGuire, L., Wright, D. B., Hatchett, B., Miller, J. J., Berli, M., Giovando, J., Michael, B., & Floyd, I. E. (2023). Process-Based Quantification of the Role of Wildfire in Shaping Flood Frequency. Water Resources Research, 59(12). https://doi.org/10.1029/2023WR035013

2022
Yu, G., Miller, J. J., & Sueki, S. (2022). Wildfire Impacts on Annual Flood Peaks Across the Western United States, 24 pp, DRI Publication 41291

Yu, G., Wright, D., & Davenport, F. (2022). Diverse Physical Processes Drive Upper‐Tail Flood Quantiles in the US Mountain West. Geophysical Research Letters, e2022GL098855. https://doi.org/10.1029/2022GL098855

2021
Yu, G., Wright, D., & Holman, K. (2021). Connecting Hydrometeorological Processes to Low‐Probability Floods in the Mountainous Colorado Front Range. Water Resources Research, 57(4). https://doi.org/10.1029/2021WR029768

2020
Wright, D., Yu, G., & England, J. (2020). Six Decades of Rainfall and Flood Frequency Analysis Using Stochastic Storm Transposition: Review, Progress, and Prospects. Journal of Hydrology, 124816. Elsevier. https://doi.org/10.1016/j.jhydrol.2020.124816

Yu, G., Wright, D., & Li, Z. (2020). The upper tail of precipitation in convection‐permitting regional climate models and their utility in nonstationary rainfall and flood frequency analysis. Earth’s Future, 8(10), e2020EF001613. https://doi.org/10.1029/2020EF001613

2019
Zhu, Z., Chen, Z., Chen, X., & Yu, G. (2019). An assessment of the hydrologic effectiveness of low impact development (LID) practices for managing runoff with different objectives. Journal of environmental management, 231, 504-514. Elsevier. https://doi.org/10.1016/j.jenvman.2018.10.046

Yu, G., Wright, D., Zhu, Z., Smith, C., & Holman, K. (2019). Process-based flood frequency analysis in an agricultural watershed exhibiting nonstationary flood seasonality. Hydrology and Earth System Sciences, 23(5), 2225-2243. Copernicus GmbH. https://doi.org/10.5194/hess-23-2225-2019

2018
Zhu, Z., Wright, D., & Yu, G. (2018). The Impact of Rainfall Space?Time Structure in Flood Frequency Analysis. Water Resources Research, 54(11), 8983-8998. Wiley Online Library. https://doi.org/10.1029/2018WR023550

Yan, J., Jin, J., Chen, F., Yu, G., Yin, H., & Wang, W. (2018). Urban flash flood forecast using support vector machine and numerical simulation. Journal of Hydroinformatics, 20(1), 221-231. IWA Publishing. https://doi.org/10.2166/hydro.2017.175

2015
Ren, X., Yu, D., Ruan, Y., & Yu, G. (2015). Modeling of municipal drainage and urban channel flooding in coastal city in the south of china. Journal of Risk Analysis and Crisis Response, 5(2). https://doi.org/10.2991/jrarc.2015.5.2.1

Conference Proceedings
2025
Yu, G., Miller, J. J., Mejia, J. F., Rasouli, K., McCarthy, M. I., O’Shea, K., & Joros, A. N. (2025). Updating the Probable Maximum Precipitation for Nevada. 2025 NWRA Annual Conference: Sparks, NV, January 27, 2025-January 30, 2025

Collins, M. J., Jennings, K., Heggli, A. E., Nieminen, S., Yu, G., Hur, N., Arienzo, M. M., & Nolin, A. (2025). Improving Precipitation Phase Estimates in Mountain Environments with Participatory (citizen) Science. AMS

Yu, G., Miller, J. J., & Berli, M. (2025). Technical Workshop: Quantify the Role of Wildfire in Driving Flood Frequency. ASCE/EWRI World Environmental & Water Resources Congress: Anchorage, Alaska, May 18, 2025-May 21, 2025

2024
Jiang, S., Tarasova, L., Yu, G., & Zscheischler, J. (2024). Compounding drivers amplify the severity of river floods. EGU General Assembly 2024: Vienna, Austria, April 14, 2024-April 19, 2024. https://doi.org/10.5194/egusphere-egu24-5441

Yu, G., Jennings, K., Hatchett, B., Nolin, A., Hur, N., Arienzo, M. M., Collins, M. J., & Tonino, S. L. (2024). Crowdsourced Data Aid in Understanding Rain-Snow Transitions in Mountain Regions of the United States. Water Science Conference: St. Paul, MN, June 24, 2024-June 27, 2024

Doane, T. H., Majumdar, S., & Yu, G. (2024). Testing the Utility of SAR for Mapping Surface Flow Events in Post-Fire Settings. AGU Fall Meeting: Washington, DC, December 9, 2024-December 13, 2024

Yu, G. (2024). Quantification of the Role of Wildfire in Shaping Flood Frequency for a Southern California Mountainous Watershed. AGU 2024: Washington, D.C.

Yu, G., Miller, J. J., & Berli, M. (2024). How Has the Flood Recipe for the Las Vegas Wash Watershed Changed?. 2024 NWRA Annual Conference: Las Vegas, NV, January 29, 2024-January 31, 2024

Yu, G. (2024). Bridging the Gap between Data Producers and Users: Exploring the Science, Techniques, and Assumptions of NOAA Atlas 14 Rainfall Frequencies. 2024 NWRA Annual Conference: Las Vegas, NV, January 29, 2024-January 31, 2024

Webb, M. J., Albano, C. M., Bozkurt, D., Garreaud, R., Yu, G., & Wilson, A. (2024). Drivers of Enhanced Flooding Risk During Atmospheric Rivers in the Western U.S. and Central Chile. American Geophysical Union: Washington DC, December 9, 2024-December 13, 2024

2023
Yu, G., Miller, J. J., Berli, M., & Hatchett, B. J. (2023). The Nonstationary Flood Hydrology for the Las Vegas Wash Watershed. EWRI Congress: Henderson, NV, May 22, 2023-May 26, 2023

Yu, G., Miller, J. J., Sueki, S., Berli, M., & Hatchett, B. J. (2023). Wildfire Impacts on Annual Flood Peaks Across the Western United States. SEDHYD: St. Louis, MI, May 8, 2023-May 12, 2023

Yu, G., Wright, D., & Holman, K. (2023). Flood Frequency Analysis using Stochastic Storm Transposition and WRF-Hydro: An Application of Risk-Informed Dam Safety Analysis. US Society on Dams Annual Conference: Charleston, SC, April 18, 2023-April 20, 2023

Yu, G., Miller, J. J., & Berli, M. (2023). Process-based Quantication of the Role of Wildfire in Shaping Flood Frequency. AGU 2023: San Francisco, CA, December 11, 2023-December 15, 2023

Arienzo, M. M., Collins, M. J., Jennings, K., Tonino, S. L., Garrett, J., Golub, E., Hatchett, B. J., Hur, N., Powell, K., & Yu, G. (2023). Assessment of citizen scientist engagement, retention, and the role of super-users for precipitation phase monitoring. AGU Fall Meeting: San Francisco, CA

Hur, N., Jennings, K., Golub, E., Collins, M. J., Arienzo, M. M., Hatchett, B. J., Johnson, J., Garrett, J., Yu, G., & Nolin, A. (2023). Rain or Snow?: Processing Crowdsourced Observations of Precipitation Phase to Uncover the Complexity of the Rain-Snow Line. AGU Fall Meeting: San Francisco, CA

2022
Yu, G., Wright, D. B., & Davenport, F. (2022). Diverse Physical Processes Drive Upper-Tail Flood Quantiles. AGU 2022: Chicago, IL

Yu, G., Berli, M., Hatchett, B. J., & Miller, J. J. (2022). How Has the Flood Recipe for the Las Vegas Wash Watershed Changed?. AGU 2022: Chicago IL