WreBigDL
Water Resources
Environment Big Data Lab
Welcome to WreBigDL@Kyung Hee University!
Supporting Sustainable Water Resource Management with Earth Observation Analytics
Our lab focuses on studying the effects of climate change on water resources around the globe. Using Earth observation analytics, we work to improve the reliability of environmental data. Our aim is to provide policymakers with clear, useful insights to help manage water resources sustainably.
Research Highlight
SNR-opt: a new data merging method outperforming the existing Triple Collocation-based weighted averaging
Kim S., Sharma A., Liu Y., Young I. S. (2022). Rethinking Satellite Data Merging: From Averaging to SNR Optimization, IEEE Trans. Geosci. Remote Sens., 60, 1–15.
Water Balance Approach for filling gaps in satellite-based soil moisture data
Zhang, R., Kim, S., Kim, H., Fang, B., Sharma, A., & Lakshmi, V. (2023). Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting, Water Resour. Res., 59(12), e2023WR034457.
Research field
The research fields are validation, improvement, and application of earth observation big data.
Selected Journal Publications
Zhang, R., Kim, S., Kim, H., Fang, B., Sharma, A., & Lakshmi, V. (2023). Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting, Water Resources Research, 59(12), e2023WR034457.
Tie, J., Kim, S., & Sharma, A. (2023). How does increasing temperature affect the sub-annual distribution of monthly rainfall? Environmental Research: Climate, 2(1), 015004.
Visser, J. B., Kim, S., Wasko, C., Nathan R. & Sharma, A. (2022). The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates, Water Resources Research, 58(11), e2022WR032247.
He, W., Kim, S., Wasko, C., & Sharma, A. (2022). A global assessment of change in flood volume with surface air temperature, Advances in Water Resources, 165, 104241.
Kim S., Sharma A., Wasko C., & Nathan R. (2022). Linking total precipitable water to precipitation extremes globally, Earth’s Future, 10(2), e2021EF002473.
Kim S., Anabalon A., & Sharma A. (2021) An Assessment of Concurrency in Evapotranspiration Trends Across Multiple Global Datasets, J. Hydrometeorol., 22(1), 231–244.
Kim S., Sharma A. (2019). The role of floodplain topography in deriving basin discharge using passive microwave remote sensing, Water Resour. Res., 55(2), 1707–1716.