Publications

Crompton, O., Nichols, M., Lapides, D., & Xu, H. (2024). Resolving the hydrologic signature of water spreader berms in the US Southwest. Journal of Soil and Water Conservation, 79(3), 155-165.

Xu, H., Nichols, M. H., Lapides, D., & Crompton, O. Automated identification of earthen berms in Western US rangelands from LiDAR‐based digital elevation models. Earth Surface Processes and Landforms.

Meles, M., Bradford, S., Casillas-Trasvina, A., Chen, L., Osterman, G., Hatch, T., Ajami, H., Crompton, O., et al. (2024). Uncovering the gaps in managed aquifer recharge for sustainable groundwater management: A focus on hillslopes and mountains. Journal of Hydrology, 131615.

Smidt, S., Haacker, E., Bai, X., Cherkauer, K., Choat, B., Crompton, O., et al. (2023). Forming the future of agrohydrology. Earth's Future, 11(12), e2022EF003410.

Crompton, O., Katul, G., Lapides, D., & Thompson, S. (2023). Hydrologic Connectivity and Patch-To-Hillslope Scale Relations in Dryland Ecosystems. Geophysical Research Letters, 50(10), e2022GL101801.

Crompton, O., Katul, G., Lapides, D., & Thompson, S. (2023). Bridging structural and functional hydrological connectivity in dryland ecosystems. Catena, 231, 107322.

Massoud, E., Hoffman, F., Shi, Z., Tang, J., Alhajjar, E., Barnes, M., Braghiere, R., Cardon, Z., Collier, N., Crompton, O. and Dennedy-Frank, P., 2023). Perspectives on Artificial Intelligence for Predictions in Ecohydrology. Artificial Intelligence for the Earth Systems, 2(4), e230005.

Sytsma, A., Crompton, O., Panos, C., Thompson, S., & Kondolf, G. (2022). Quantifying the uncertainty created by non-transferable model calibrations across climate and land cover scenarios: A case study with SWMM. Water Resources Research, 58(2), e2021WR031603.

Crompton, O., Boisramé, G., Rakhmatulina, E., Stephens, S., & Thompson, S. (2022). Fire return intervals explain different vegetation cover responses to wildfire restoration in two Sierra Nevada basins. Forest Ecology and Management, 521, 120429.

Crompton, O., Corrêa, D., Duncan, J., & Thompson, S. (2021). Deforestation-induced surface warming is influenced by the fragmentation and spatial extent of forest loss in Maritime Southeast Asia. Environmental Research Letters, 16(11), 114018.

Lapides, D., Sytsma, A., Crompton, O., & Thompson, S. (2021). Rational method time of concentration can underestimate peak discharge for hillslopes. Journal of Hydraulic Engineering, 147(10), 06021014.

Danino, D., Svoray, T., Thompson, S., Cohen, A., Crompton, O., et al. (2021). Quantifying shallow overland flow patterns under laboratory simulations using thermal and LiDAR imagery. Water Resources Research, 57(3), e2020WR028857.

Crompton, O., & Thompson, S. (2021). Sensitivity of dryland vegetation patterns to storm characteristics. Ecohydrology, 14(2), e2269.

Crompton, O., Katul, G., & Thompson, S. (2020). Resistance formulations in shallow overland flow along a hillslope covered with patchy vegetation. Water Resources Research, 56(5), e2020WR027194.

Cohn, A., Bhattarai, N., Campolo, J., Crompton, O., Dralle, D., Duncan, J., & Thompson, S. (2019). Forest loss in Brazil increases maximum temperatures within 50 km. Environmental Research Letters, 14(8), 084047.

Crompton, O., Sytsma, A., & Thompson, S. (2019). Emulation of the Saint Venant equations enables rapid and accurate predictions of infiltration and overland flow velocity on spatially heterogeneous surfaces. Water Resources Research, 55(8), 7108-7129.

Crompton, O. (2018). Who's afraid of the Saint Venant equations? (Everyone, so I replaced it with machine learning) (Doctoral dissertation, University of California, Berkeley).