M. Ruiz-Vásquez, Sungmin O et al.: Land surface observations boost temperature forecast skill: experiments using Long Short-Term Memory surrogate for physics-based models to assess potential predictability, in revision, 2025.
R. Orth, J. Denissen, J. Kroll, Sungmin O et al.: Changing water availability and demand shift global greening to regional browning, in preparation, 10.21203/rs.3.rs-5537189/v1, 2025.
F.J. Bohn et al. [co-authored]: Reviews and syntheses: Current perspectives on biosphere research – 2024, EGUsphere [preprint], accepted, 10.5194/egusphere-2024-2551, 2024.
Sungmin O et al.: Estimating hourly ground-level aerosols using GEMS aerosol optical depth: A machine learning approach, Atmos. Meas. Tech. 10.5194/amt-18-1471-2025, 2025.
S. Materia, L. P. García, C. Straaten, Sungmin O et al. Artificial Intelligence for Prediction of Climate Extremes: State of the art, challenges and future perspectives, Wiley Interdiscip. Rev. Clim. 10.1002/wcc.914, 2024.
J. Gautam, Sungmin O et al.: Evaluation of GPM IMERG satellite precipitation for rainfall-runoff modeling in Great Britain, Hydrol. Sci. J., 10.1080/02626667.2024.2394172, 2024.
Sungmin O and SK. Park: Global ecosystem responses to flash droughts are modulated by background climate and vegetation conditions, Communications Earth & Environment, 10.1038/s43247-024-01247-4, 2024.
X. Li, Sungmin O et al.: Impact of Atmospheric Aerosols on the Accuracy of IMERG Precipitation Estimates over Northern China, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 10.1109/JSTARS.2024.3356256, 2024.
M. Ruiz-Vásquez, Sungmin O et al.: Impact of updating vegetation information on land surface model performance, JGR Atmospheres, 128, 10.1029/2023JD039076, 2023.
W. Li, M. Reichstein, Sungmin O et al.: Contrasting drought propagation into the terrestrial water cycle between dry and wet regions, Earth’s Future, 11, 10.1029/2022EF003441, 2023.
Sungmin O and SK. Park: Flash drought drives rapid vegetation stress in arid regions in Europe, Environ. Res. Lett., 18, 10.1088/1748-9326/acae3a, 2023.
Sungmin O et al.: High-resolution European daily soil moisture derived with machine learning (2003-2020), Sci Data, 9, 10.1038/s41597-022-01785-6, 2022.
M. Ruiz-Vásquez, Sungmin O et al.: Exploring the relationship between temperature forecast errors and Earth system variables, Earth Syst. Dynam., 13, 10.5194/esd-13-1451-2022, 2022.
Sungmin O et al.: The role of climate and vegetation in regulating drought-heat extremes, J Climate, 35, 5677–5685, 10.1175/JCLI-D-21-0675.1, 2022.
R. Orth, Sungmin O, et al.: Contrasting biophysical and social impacts of hydro-meteorological extremes, Environ. Res. Lett., 17, 014044 10.1088/1748-9326/ac4139, 2022.
A. Bastos, …, Sungmin O, J. Pongratz, and S. Sitch: Vulnerability of European ecosystems to two compound dry and hot summers in 2018 and 2019, Earth Syst. Dynam., 12, 1015–1035, 10.5194/esd-12-1015-2021, 2021.
Sungmin O and R. Orth: Global soil moisture data derived through machine learning trained with in-situ measurements, Sci. Data, 8, 170, 10.1038/s41597-021-00964-1, 2021.
C. Hohmann, G. Kirchengast, Sungmin O, et al.: Small catchment runoff sensitivity to station density and spatial interpolation, Water, 13(10), 10.3390/w13101381, 2021.
X. Li, Sungmin O, et al.: Evaluation of the GPM IMERG V06 products for light rain over Mainland China, Atmos. Res. 253, 105510, 10.1016/j.atmosres.2021.105510, 2021.
Sungmin O, E. Dutra, and R. Orth: Robustness of process-based versus data-driven modeling under changing climatic conditions, J. Hydrometeorol., 21(9), 1929–1944, 10.1175/JHM-D-20-0072.1, 2020.
Sungmin O, X. Hou, and R. Orth: Observational evidence of wildfire-promoting soil moisture anomalies, Sci. Rep., 10:11008, 10.1038/s41598-020-67530-4, 2020.
J. Lopez Prol and Sungmin O: Impact of COVID-19 on electricity consumption, iScience, 23(10), 10.1016/j.isci.2020.101639, 2020.
A. Fallah, Sungmin O, and R. Orth: Climate-dependent propagation of precipitation uncertainty into the water cycle, Hydrol. Earth Syst. Sci., 24, 3725-3735, 10.5194/hess-24-3725-2020, 2020.
A. Fallah, G.R. Rakhshandehroo, P. Berg, Sungmin O, and R. Orth: Evaluation of precipitation datasets against local observations in Southwestern Iran, Int J Climatol., 1-15, 10.1002/joc.6445, 2019.
Sungmin O and U. Foelsche: Assessment of spatial uncertainty of heavy rainfall at catchment scale using a dense gauge network, Hydrol. Earth Syst. Sci., 23, 2863-2875, 10.5194/hess-23-2863-2019, 2019.
M. Lasser, Sungmin O and U. Foelsche: Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data, Atmos. Meas. Tech., 12, 5055–5070, 10.5194/amt-12-5055-2019, 2019.
Sungmin O and P. E. Kirstetter: Evaluation of diurnal variation of GPM IMERG derived summer precipitation over the contiguous US using MRMS data, Q. J. R. Meteorol. Soc., 144, 270-281, 10.1002/qj.3218, 2018.
K. Schroeer, G. Kirchengast, Sungmin O: On the fundamental spatial resolution dependence of short-term extreme convective rainfall intensity, Geophys. Res. Lett., 45(16), 8253-8263, 10.1029/2018GL077994, 2018.
Sungmin O, U. Foelsche, G. Kirchengast, J. Fuchsberger: Validation and correction of rainfall data from the WegenerNet high density network in southeast Austria, J Hydrol., 556, 1110-1122, 10.1016/j.jhydrol.2016.11.049, 2018.
C. Cassardo, SK. Park, M. Galli, Sungmin O: Climate change over the high-mountain versus plain areas: Effects on the land surface hydrologic budget in the Alpine area and northern Italy, Hydrol. Earth Syst. Sci, 22, 10.5194/hess-22-3331-2018, 2018.
C. Cassardo, SK. Park, Sungmin O, M. Galli: Projected Changes in Soil Temperature and Surface Energy Budget Components over the Alps and Northern Italy, Water, 10, 954, 10.3390/w10070954, 2018.
Sungmin O, G. Kirchengast, U. Foelsche, J. Fuchsberger, J. Tan, and W. A. Petersen: Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria, Hydrol. Earth Syst. Sci., 21, 6559–6572, 10.5194/hess-21-6559-2017, 2017.
SK. Park, Sungmin O C. Cassardo: Soil temperature response in Korea to a changing climate using a land surface model, Asia-Pac. J. Atmos. Sci., 53, 457-470, 10.1007/s13143-017-0048-x, 2017.