Papers Published in Refereed Journals
Le, P. V. V., Persad, G., Perez, G., Nduka, I. C., Mobley, W. & Coon, E. T. (2025). pyTCR: A tropical-cyclone rainfall model for Python. J. Open Source Softw. 10, 8074. https://doi.org/10.21105/joss.08074.
Perez, G., Coon, E., Rathore, S., Le, Phong (2024). Advancing Process-based Flood Frequency Analysis for Assessing Flood Hazard and Population Flood Exposure. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2024.131620.
Perez, G., Gomez-Velez, J. D., & Grant, S. B. (2023). The sanitary sewer unit hydrograph model: A comprehensive tool for wastewater flow modeling and inflow-infiltration simulations. Water Research, 120997. https://doi.org/https://doi.org/10.1016/j.watres.2023.120997.
Perez, G., Gomez-Velez, J. D., Chen, X., & Scheibe, T. (2023). The directional unit hydrograph model: Connecting streamflow response to storm dynamics. Journal of Hydrology, 627, 130422. https://doi.org/10.1016/j.jhydrol.2023.130422.
Krajewski, W. F., Otto, L., Vishwakarma, S., Perez, G. (2023). Revisiting Turcotte’s approach: flood frequency analysis. Stochastic Environmental Research and Risk Assessment, 37(5). https://doi.org/10.1007/s00477-022-02344-6.
Grant, S.B; Rippy, M; Birkland, T; Schenk, T; Rowles, K; Aminpour, P; Kaushal, S; Vikesland, P; Berglund, E; Gomez-Velez, J; Hotchkiss, E; Perez, G; Zhang, H; Armstrong, K; Bhide, S; Krauss, L; Maas, C; Mendoza, K; Shipman, C; Zhang, Y; Zhong, Y. (2022) “Can Common Pool Resource theory catalyze stakeholder-driven solutions to the freshwater salinization syndrome?” Environmental Science & Technology, https://doi.org/10.1021/acs.est.2c01555.
Perez, G., Gomez‐Velez. JD., Chen, X., Scheibe, T., Chen, Y., Bao, J. (2021) Identification of Characteristic Spatial Scales to Improve the Performance of Analytical Spectral Solutions to the Groundwater Flow Equation. Water Resources Research, 57(12), https://doi.org/10.1029/2021WR031044.
Perez, G., Gomez‐Velez, JD., Mantilla, R., Wright, D., Li, Z. (2021) The Effect of Storm Direction on Flood Frequency Analysis. Geophysical Research Letters, 48(9):1–10. https://doi.org/10.1029/2020GL091918.
Quintero, F., Krajewski, W. F., Muste, M., Rojas, M., Perez, G., Johnson, S. J., Anderson, A., Hunemuller, T., Cappuccio., B., & Zogg, J. (2021). Development of synthetic rating curves: A case study in Iowa. Journal of Hydrologic Engineering, 1–12. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002022 .
Perez, G., Mantilla, R., Krajewski, W. F., & Quintero, F. (2019). Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall‐Runoff Events with Implications on Regionalization of Peak Flow Quantiles. Water Resources Research, 2019WR026028. https://doi.org/10.1029/2019WR026028.
Perez, G., Mantilla, R., Krajewski, W. F., & Wright, D. B. (2019). Using Physically Based Synthetic Peak Flows to Assess Local and Regional Flood Frequency Analysis Methods. Water Resources Research, 2019WR024827. https://doi.org/10.1029/2019WR024827.
Perez, G., Mantilla, R., & Krajewski, W. F. (2018). Estimation of Historical-Annual and Historical-Monthly Scale-Invariant Flow Duration Curves with Implementation for Iowa. Journal of Hydrologic Engineering, 23(12), 05018021. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001707.
Perez, G., Mantilla, R., & Krajewski, W. F. (2018). The Influence of Spatial Variability of Width Functions on Regional Peak Flow Regressions. Water Resources Research, 54(10), 7651–7669 https://doi.org/10.1029/2018WR023509.
Book Chapters
Perez, G., Mantilla, R., & Krajewski, W. F. (2018). Spatial patterns of peak flow quantiles based on power-law scaling in the Mississippi River basin. In A. A. Tsonis (Ed.), Thirty Years of Nonlinear Dynamics in Geosciences. Springer. https://doi.org/10.1007/978-3-319-58895-7_23.