TERRESTRIAL HYDROLOGY LAB
at University of Cincinnati
2024
Muhebwa A., C.J. Gleason, D. Feng, and J. Taneja, 2024, Physics guided machine learning via distributed data modeling to improve discharge prediction in ungauged basins, Water Resources Research, DOI: 10.1029/2024WR037122
Elisa S. Friedmann, Colin J Gleason, D. Feng, Theodore Langhorst, 2024, Estimating Riverine Total Suspended Sediment from Hyperresolution Satellite Fusion, IEEE JSTARS, DOI: 10.1109/JSTARS.2024.3443756
Ramtel, P., Feng, D., & Gardner, J. (2024). Toward large-scale riverine phosphorus estimation using remote sensing and machine learning. Journal of Geophysical Research: Biogeosciences, 129, e2024JG008121. https://doi.org/10.1029/2024JG008121​
Flores J. A., C. J. Gleason, C. Brinkerhoff, M. Harlan, M. M. Lummus, L. A. Stearns, and D. Feng, 2024, Mapping proglacial headwater streams in High Mountain Asia, Remote Sensing of Environment, DOI: 10.1016/j.rse.2024.114124
2023
L.C. Smith, J. V. Fayne, B. Wang, E. D. Kyzivat, C. J. Gleason, M. E. Harlan, T. Langhorst, D. Feng, T. M. Pavelsky, D. L. Peters, Peace-Athabasca Delta water surface elevations and slopes mapped from AirSWOT Ka-band InSAR, Remote Sensing Letters, DOI: 10.1080/2150704X.2023.2280464
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Wang B., L. C. Smith, E. D. Kyzivat, J. V. Fayne, C. Gleason, M. E. Harlan, T. Langhorst, D. Feng, et al., 2023, Slow avulsion of the Athabasca River underway on the Peace-Athabasca Delta, Canada, Water Resources Research, e2022WR034114, DOI: 10.1029/2022WR034114
Lin P., D. Feng, C. J. Gleason, M. Pan, C. Brinkerhoff, X. Yang, H. E. Beck, R.P.M. Frasson, 2023, Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges, Remote Sensing of Environment , 287, 113489
2022
Feng, D., Gleason C.J., Yang X., Allen G.H., and Pavelsky T.M., 2022, How have global river widths changed over time? Water Resources Research, DOI: 10.1029/2021WR031712 (Top Downloaded Article in WRR)
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Chen C., R. Gan, D. Feng, F. Yang, and Q. Zuo, 2022, Quantifying the contribution of SWAT modeling and CMIP6 inputting to streamflow prediction uncertainty under climate change, Journal of Cleaner Production, 36(1): 132675
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Ethan D. Kyzivat, Laurence C. Smith, et al., including D. Feng, 2022, The Importance of Lake Emergent Aquatic Vegetation for Estimating Arctic-Boreal Methane Emissions, JGR: Biogeosciences, 127(6): e2021JG006635
2021
Feng, D.; Gleason, C. J.; Lin, P.; Yang, X.; Pan, M.; Ishitsuka, Y. (2021. ) Recent changes to Arctic river discharge. Nature Communications, 12 (1 ), 6917
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Gleason, C. J.; Yang, K.; Feng, D.; Smith, L. C.; Liu, K.; Pitcher, L. H.; Chu, V. W.; Cooper, M. G.; Overstreet, B. T.; Rennermalm, A. K.; Ryan, J. C. (2021. ) Hourly surface meltwater routing for a Greenlandic supraglacial catchment across hillslopes and through a dense topological channel network. The Cryosphere, 15 (5 ), 2315-2331
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Harlan, M. E.; Gleason, C. J.; Altenau, E. H.; Butman, D.; Carter, T.; Chu, V. W.; Cooley, S. W.; Dolan, W. D.; Durand, M. T.; Eidam, E.; Fayne, J. V.; Feng, D.; Ishitsuka, Y.; Kuhn, C.; Kyzivat, E. D.; Langhorst, T.; Minear, J. T.; Pavelsky, T. M.; Peters, D. L.; Pietroniro, A.; Pitcher, L. H.; Smith, L. C. (2021. ) Discharge Estimation From Dense Arrays of Pressure Transducers. Water Resources Research, 57 (3 ), e2020WR028714
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Ishitsuka, Y.; Gleason, C. J.; Hagemann, M. W.; Beighley, E.; Allen, G. H.; Feng, D.; Lin, P.; Pan, M.; Andreadis, K.; Pavelsky, T. M. (2021. ) Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed. Water Resources Research, 57 (3 ), e2020WR027794 (Editor's Highlight Paper in WRR)
2020
Brinkerhoff, C. B.; Gleason, C. J.; Feng, D.; Lin, P. (2020. ) Constraining Remote River Discharge Estimation Using Reach-Scale Geomorphology. Water Resources Research, 56 (11 ), e2020WR027949
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Feng, D.; Raoufi, R.; Beighley, E.; Melack, J. M.; Goulding, M.; Barthem, R. B.; Venticinque, E.; Cañas, C.; Forsberg, B.; Sorribas, M. V. (2020. ) Future climate impacts on the hydrology of headwater streams in the Amazon River Basin: Implications for migratory goliath catfishes. Hydrological Processes, 34 (26 ), 5402-5416
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Nickles, C.; Beighley, E.; Feng, D. (2020. ) The Applicability of SWOT's Non-Uniform Space-Time Sampling in Hydrologic Model Calibration. Remote Sensing, 12 (19 ), 3241
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Feng, D.; Beighley, E. (2020. ) Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments. Hydrol. Earth Syst. Sci., 24 (5 ), 2253-2267
2019
Myers, Monique R.; Barnard, Patrick L.; Beighley, Edward; Cayan, Daniel R.; Dugan, Jenifer E.; Feng, Dongmei; Hubbard, David M.; Iacobellis, Sam F.; Melack, John M.; Page, Henry M. (2019. ) A multidisciplinary coastal vulnerability assessment for local government focused on ecosystems, Santa Barbara area, California. Ocean & Coastal Management, 182 (9 ),104921
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Feng, Dongmei; Gleason, Colin J.; Yang, Xiao; Pavelsky, Tamlin M. (2019. ) Comparing Discharge Estimates Made via the BAM Algorithm in High-Order Arctic Rivers Derived Solely From Optical CubeSat, Landsat, and Sentinel-2 Data. Water Resources Research, 55 (9 ), 7753-7771
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Feng, Dongmei; Beighley, Edward; Raoufi, Roozbeh; Melack, John; Zhao, Yuanhao; Iacobellis, Sam; Cayan, Daniel (2019. ) Propagation of future climate conditions into hydrologic response from coastal southern California watersheds. Climatic change, 153 (1 ), 199-218
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