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Octavia Crompton
Octavia Crompton
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
Forest loss in Brazil increases maximum temperatures within 50 km
AS Cohn, N Bhattarai, J Campolo, O Crompton, D Dralle, J Duncan, ...
Environmental Research Letters 14 (8), 084047, 2019
682019
Emulation of the Saint Venant equations enables rapid and accurate predictions of infiltration and overland flow velocity on spatially heterogeneous surfaces
O Crompton, A Sytsma, S Thompson
Water Resources Research 55 (8), 7108-7129, 2019
232019
Deforestation-induced surface warming is influenced by the fragmentation and spatial extent of forest loss in Maritime Southeast Asia
O Crompton, D Corrêa, J Duncan, S Thompson
Environmental Research Letters 16 (11), 114018, 2021
222021
Resistance formulations in shallow overland flow along a hillslope covered with patchy vegetation
O Crompton, GG Katul, S Thompson
Water Resources Research 56 (5), e2020WR027194, 2020
152020
Quantifying the uncertainty created by non‐transferable model calibrations across climate and land cover scenarios: A case study with SWMM
A Sytsma, O Crompton, C Panos, S Thompson, G Mathias Kondolf
Water Resources Research 58 (2), e2021WR031603, 2022
142022
Quantifying shallow overland flow patterns under laboratory simulations using thermal and LiDAR imagery
D Danino, T Svoray, S Thompson, A Cohen, O Crompton, E Volk, ...
Water Resources Research 57 (3), e2020WR028857, 2021
72021
Sensitivity of dryland vegetation patterns to storm characteristics
OV Crompton, SE Thompson
Ecohydrology 14 (2), e2269, 2021
72021
Perspectives on Artificial Intelligence for Predictions in Ecohydrology
EC Massoud, F Hoffman, Z Shi, J Tang, E Alhajjar, M Barnes, ...
Artificial Intelligence for the Earth Systems 2 (4), e230005, 2023
32023
Bridging structural and functional hydrological connectivity in dryland ecosystems
O Crompton, G Katul, DA Lapides, SE Thompson
Catena 231, 107322, 2023
32023
Rational method time of concentration can underestimate peak discharge for hillslopes
D Ariel Lapides, A Sytsma, O Crompton, S Thompson
Journal of Hydraulic Engineering 147 (10), 06021014, 2021
32021
Fire return intervals explain different vegetation cover responses to wildfire restoration in two Sierra Nevada basins
OV Crompton, GFS Boisrame, E Rakhmatulina, SL Stephens, ...
Forest Ecology and Management 521, 120429, 2022
22022
Who's afraid of the Saint Venant Equations?(Everyone, so I replaced it with Machine Learning)
O Crompton
University of California, Berkeley, 2018
22018
Hydrologic Connectivity and Patch‐To‐Hillslope Scale Relations in Dryland Ecosystems
O Crompton, G Katul, D Lapides, S Thompson
Geophysical Research Letters 50 (10), e2022GL101801, 2023
12023
Resolving the hydrologic signature of water spreader berms in the US Southwest
O Crompton, M Nichols, D Lapides, H Xu
Journal of Soil and Water Conservation 79 (3), 155-165, 2024
2024
The occurrence of preferential flow based on high-frequency, multi-depth soil moisture observations across diverse ecoclimate regions.
B Li, M Sprenger, T Xu, JR Nimmo, H Ajami, R Araki, O Crompton, ...
AGU23, 2023
2023
Combining Cloud Computing and Object-Based Machine Learning to Identify Earthen Berms from Lidar Digital Elevation Models
H Xu, M Nichols, DA Lapides, O Crompton
AGU23, 2023
2023
From Rough to Refined: Navigating a Century of Flow Characterization and Charting a Course Forward
O Crompton, J Alfieri, WP Kustas, MB Meles, LTT Rojas
AGU23, 2023
2023
Forming the future of agrohydrology
SJ Smidt, EMK Haacker, X Bai, K Cherkauer, B Choat, O Crompton, ...
Earth's Future 11 (12), e2022EF003410, 2023
2023
Utilizing High-Frequency Soil Moisture Measurements for Detection and Prediction of Preferential Flow
BM Wyatt, B Li, H Ajami, R Araki, O Crompton, D Gimenez, J Groh, ...
ASA, CSSA, SSSA International Annual Meeting, 2023
2023
Roughness giving you the runaround? Investigating the interplay of infiltration and resistance on vegetated hillslopes
O Crompton
OSF, 2023
2023
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