Doing Hydrology when no in-situ data exists: Surrogate River discharge Model (SRM)
Yoon, H.N., Marshall, L., Sharma, A., Kim, S.
Environmental Modelling & Software, 2025
2
Strategic Imputation of Groundwater Data Using Machine Learning: Insights from Diverse Aquifers in the Chao-Phraya River Basin
Sharma, Y. K., Kim, S., Tayerani Charmchi, A. S., Kang, D., Batelaan, O.
Groundwater for Sustainable Development, 2025
3
Advancing High-Mountain Precipitation Reconstruction through Merging of Multiple Data Sources: Triple Collocation versus Signal-to-Noise Ratio Optimization
Shah, S., Liu, Y., Kim, S., Sharma, A.
IEEE Transactions on Geoscience and Remote Sensing, 2024
4
Enhanced Water Level Monitoring for Small and Complex Inland Water Bodies Using Multi-Satellite Remote Sensing
Han, K., Kim, S., Mehrotra, R., Sharma, A.
Environmental Modelling & Software, 2024
5
The role of regional water vapor dynamics in creating precipitation extremes
Kim, S., Wasko, C., Sharma, A., Nathan, R.
Journal of Hydrology X, 2024
6
Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting
Zhang, R., Kim, S., Kim, H., Fang, B., Sharma, A., Lakshmi, V.
Water Resour. Res., 2023
7
Rethinking Satellite Data Merging: From Averaging to SNR Optimization
Kim S., Sharma A., Liu Y., Young I. S.
IEEE Trans. Geosci. Remote Sens., 2022
8
Quantifying the Added Values of a Merged Precipitation Product in Streamflow Prediction over the Central Himalayas
Guragain, S., Shah, S., Albano, R., Kim, S., Hammad, M., Asif, M.
Remote Sensing, 2025
9
Seamless finer-resolution soil moisture from the synergistic merging of the FengYun-3 satellite series
Hagan, D. F., Kim, S., Wang, G., Ma, X., Hu, Y., Liu, Y. Y., ..., Bhatti, S. A.
Scientific Data, 2025
10
Enhancing Aquifer Reliability and Resilience Assessment in Data-Scarce Regions Using Satellite Data: Application to the Chao Phraya River Basin
Sharma, Y. K.[PG], Mohanasundaram, S., Kim, S., Shrestha, S., Babel, M. S., Loc, H. H.