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Sungmin O

Has grant

Assistant Professor

Ewha Womans University

South Korea

Research Interests

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Recent Grants

Grant: Close

Developing hybrid soil moisture data by combining machine learning and physics-based approaches

Open Date: 2023-06-01

Close Date: 2025-12-01

Grant: Close

Big data-based multivariate analysis of flash drought in Europe

Open Date: 2022-01-01

Close Date:

Articles (18)

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Collaborators (15)

Markus Reichstein

Max Planck Institute for Biogeochemistry

GERMANY

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Ulrich Foelsche

Associate Professor

Graz University of Technology

AUSTRIA

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Niak Sian Koh

University of Oxford

UNITED KINGDOM

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Alexandros Gasparatos

Professor

University of Tokyo

JAPAN

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Benjamin Stocker

Associate Professor

University of Bern

SWITZERLAND

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Alexander Brenning

Full professor

Friedrich Schiller University Jena

GERMANY

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Gregor Hagedorn

Museum für Naturkunde

GERMANY

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Ana Bastos

Professor for Land-Atmosphere Interactions

Leipzig University

GERMANY

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Georgia Destouni

Professor

Stockholm University

SWEDEN

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Rene Orth

Full Professor

University of Freiburg

GERMANY

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Moritz Drupp

Professor for Sustainability Economics

ETH Zürich

SWITZERLAND

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Giles B Sioen

Project Lecturer

University of Tokyo

JAPAN

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Nicolas Viovy

expert senior

Université Paris-Saclay

FRANCE

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Sujan Koirala

Senior Scientist

Max Planck Institute for Biogeochemistry

GERMANY

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Anne Hoek van Dijke

Wageningen University & Research

NETHERLANDS

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Sungmin O

Research Interests

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Recent Grants

Articles (18)

Land surface information from satellites boost near-surface temperature forecast skill

Assessing the impact of aerosol optical depth on solar radiation forecasts using WRF-Solar over South Korea

Machine learning-based sensitivity of solar radiation forecasts to cloud-related parameters in WRF-Solar

Reviews and syntheses: Current perspectives on biosphere research 2024-2025-eight findings from ecology, sociology, and economics

Regional Emergence of Water‐Related Browning in a Greening World

Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach

Impact of Atmospheric Aerosols on the Accuracy of IMERG Precipitation Estimates Over Northern China

Contrasting Drought Propagation Into the Terrestrial Water Cycle Between Dry and Wet Regions

Flash drought drives rapid vegetation stress in arid regions in Europe

Impact of Updating Vegetation Information on Land Surface Model Performance

Exploring the relationship between temperature forecast errors and Earth system variables

Contrasting biophysical and societal impacts of hydro-meteorological extremes

Global soil moisture data derived through machine learning trained with in-situ measurements

Vulnerability of European ecosystems to two compound dry and hot summers in 2018 and 2019

Small Catchment Runoff Sensitivity to Station Density and Spatial Interpolation: Hydrological Modeling of Heavy Rainfall Using a Dense Rain Gauge Network

Evaluation of the GPM IMERG V06 products for light rain over Mainland China

Impact of COVID-19 Measures on Short-Term Electricity Consumption in the Most Affected EU Countries and USA States

Impact of COVID-19 Measures on Short-Term Electricity Consumption in the Most Affected EU Countries and USA States

Collaborators (15)

Markus Reichstein

Ulrich Foelsche

Niak Sian Koh

Alexandros Gasparatos

Benjamin Stocker

Alexander Brenning

Gregor Hagedorn

Ana Bastos

Georgia Destouni

Rene Orth

Moritz Drupp

Giles B Sioen

Nicolas Viovy

Sujan Koirala

Anne Hoek van Dijke

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