1. Pham, H.V., Tsai, F.T.-C., A robust experimental design for conceptual model discrimination based on information theory, Advances in Water Resources, Vol 178, 2023.
2. Pulla, S.T., Yasarer, H., Yarbrough, L.D., GRACE Downscaler: A Framework to Develop and Evaluate Downscaling Models for GRACE, Remote Sensing, Vol 15, 2023.
3. Vines, M., Terry, L.G., Removal of Haloacetic Acids via Adsorption and Biodegradation in a Bench-Scale Filtration System, Water, Vol 15, 2023.
4. Arekhi, M., Terry, L., Clement, T.P., Characterizing the efficiency of low-cost LED lights for conducting laboratory studies to investigate polycyclic aromatic hydrocarbon photodegradation processes, Environmental Research, 2023.
5. Gonzalez, M.O., Preetha, P., Kumar, M., Clement, T.P., Comparison of Data-Driven Groundwater Recharge Estimates with a Process-Based Model for a River Basin in Southeastern USA, Journal of Hydrologic Engineering, Vol 28, 2023.
6. Wagle, P., Raghav, P., Kumar, M., Gunter, S.A., Influence of water use efficiency parameterizations on flux variance similarity-based partitioning of evapotranspiration, Agricultural and Forest Meteorology, Vol 328, 2023.
7. Raghav, P., Wagle, P., Kumar, M., Banerjee, T., Neel, J.P.S., Vegetation Index-Based Partitioning of Evapotranspiration Is Deficient in Grazed Systems, Water Resources Research, 2022
8. Clement, T.P., John, G.F., A perspective on the state of Deepwater Horizon oil spill related tarball contamination and its impacts on Alabama beaches, Current Opinion in Chemical Engineering, Vol 36, 2022.
9. Cheng, F.Y., Park, J., Kumar, M., Basu, N.B., Disconnectivity matters: the outsized role of small ephemeral wetlands in landscape-scale nutrient retention, Environmental Research Letters, Vol 18, 2023.
10. Clement, T.P., How can we reform the STEM tenure system for the 21st Century?, Proceedings of the National Academy of Sciences (PNAS), 2022.
11. Vahdat-Aboueshagh, H., Tsai, F.T.-C., Habib, E., Clement, T.P., Multi-objective optimization of aquifer storage and recovery operations under uncertainty via machine learning surrogates, Journal of Hydrology, 2022.
12. Boumis, G., Kumar, M., Nimmo, J.R., Clement, T.P., Influence of Shallow Groundwater Evapotranspiration on Recharge Estimation Using the Water Table Fluctuation Method, Water Resources Research, 2022.
13. Park. J., M. Kumar, C. R. Lane, N. B. Basu, Seasonality of inundation in geographically isolated wetlands across the united states, Environmental Research Letters, Vol 17, 2022.
14. Alakayleh, Z., X. Fang, P. Clement, A simple method for correcting the effects of initial soil moisture on Modified Philip-Dunne Infiltrometer drawdown curves, Groundwater for Sustainable Development, Volume 18,2022 
15. N. Moragoda, M. Kumar, and S. Cohen, Representing the role of soil moisture on erosion resistance in sediment models: Challenges and opportunities, Earth-Science Reviews, 2022.
16. Tashie, A., T. Pavelsky, M. Kumar, A Calibration-Free Groundwater Module for Improving Predictions of Low Flow, Water Resources Research, Vol 58, 2022.
17. Raghav, P., and M. Kumar, Retrieving gap-free daily root zone soil moisture using surface flux equilibrium theory, Environmental Research Letters, vol 16, 104007, 2021.
18. Yin, J., F. Tsai, and S. Kao, Accounting for uncertainty in complex alluvial aquifer modeling by bayesian multi-model approach, Journal of Hydrology, Vol 601, 2021.
19. Memari, S.S., and T.P.Clement, PySWR-A Python Code for Fitting Soil Water Retention Functions, Computers and Geosciences, vol 156, 104897, 2021.
20. Chang, S.W., S.S. Memari, and T.P.Clement, PyTheis-A Python Tool for Analyzing Pump Test Data, Water Journal, vol 13(16), 2180, 2021.
21. Arekhi, M., L. G. Terry, G. F. John, T.P.Clement, Environmental fate of petroleum biomarkers in Deepwater Horizon oil spill residues over the past ten years, Science of the Total Environment, vol 791, 148056, 2021.
22. Hamid, V-A, and F. T-C., Tsai, D. Bhatta, K.P. Paudel, Irrigation-Intensive Groundwater Modeling of Complex Aquifer Systems Through Integration of Big Geological Data, Frontiers in Water, vol 3, 2021.
23. Hamid, V-A., and F. T-C. Tsai, Constructing large-scale complex aquifer systems with big well log data: Louisiana model, Computers & Geosciences, vol 148, 2021.

Book Chapters:

1. Preetha, P.P., Maclin, K., Evaluation of Hydrogeological Models and Big Data for Quantifying Groundwater Use in Regional River Systems. In: Shukla, P., Singh, P., Singh, R.M. (eds) Environmental Processes and Management. Water Science and Technology Library, Vol 120, Springer Publishers.