Sungmin O
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Research Scientist in Hydrology-Biosphere-Climate Interactions Research Group |
Research Interests | Publications | Current Research | Community service
Research Interests
- Land-atmosphere interactions: Land‐atmosphere interactions and their impacts on hydro-climatic extremes.
- Hydrologic modeling: Machine learning-based hydrologic modeling, hydrologic modeling at ungauged locations.
- Satellite observational data: Uncertainty quantification (ground validation, hydrologic evaluation).
Key Publications
O, Sungmin et al., J. Hydrometeor. (2020)
Robustness of Process-Based versus Data-Driven Modeling in Changing Climatic Conditions
doi: 10.1175/JHM-D-20-0072.1
O, Sungmin et al., Sci. Rep. (2020)
Observational evidence of wildfire-promoting soil moisture anomalies
doi: 10.1038/s41598-020-67530-4
O, Sungmin and U. Foelsche, Hydrol. Earth Syst. Sci. (2019)
Assessment of spatial uncertainty of heavy rainfall at catchment scale using a dense gauge network
doi: 10.5194/hess-23-2863-2019
O, Sungmin and P.E. Kirstetter, Q. J. R. Meteorol. Soc. (2018)
Evaluation of diurnal variation of GPM IMERG derived summer precipitation over the contiguous US using MRMS data
doi: 10.1002/qj.3218
FULL LIST (updated March 2021)
Current Research
O, Sungmin and R. Orth
Global soil moisture from in-situ measurements using machine learning - SoMo.ml
O, Sungmin et al.
Hottest drought temperature anomalies in sub-humid regions
Ruiz, M., S. O, R. Orth, and G. Balsamo
Exploring the potential of vegetation information for improving weather forecast performance
Orth, R., M. Mahecha, S. O, M. Reichstein, and J. Zscheischler
Contrasting impacts of meteorological extremes across domains
Community service
- Reviewer activity for J. Hydrol, J. Hydrometeorol, Hydrol. Earth Syst. Sci., and Remote Sensing.
- Lecture on Climate Change
- Member of AGU Precipitation Technical Committee, https://www.facebook.com/AGUPrecip