Publications

Check our peer-reviewed journal papers and conference papers.

Previous publication list (2015-2019)

Various Journals

January 1, 2018

Check my Google Scholar Link below.

* = mentored by Dr. Kim

Changes in the Speed of the Global Terrestrial Water Cycle Due To Human Interventions

Kim et al.
-
Under Preperation

Enhancing Detection of Flood-Inundated Areas using Novel Hybrid PoLSAR- Metaheuristic-Deep Learning Models

Fatima et al.
Remote Sensing of Environment
Under Review

Synergistic impact of simultaneously assimilating radar- and radiometer-based soil moisture retrievals on the performance of numerical weather prediction systems

Kwon et al.
Hydrology and Earth System Sciences
major revision

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from Dielectric Measurements - Part 1: Optimal Estimation Strategy

Park et al.
Agricultural and Forest Meteorology
under review

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in situ Dielectric - Part 2: Application of Optimal Estimation and Machine Learning Approaches

Park et al.
Agricultural and Forest Meteorology
under review

Evaluating Deep Learning Architectures for Streamflow Flash Drought Prediction Across the Contiguous United States

Bakar et al.
Journal of Hydrology
minor revision

Unsupervised Neural and Statistical Clustering for Scalable Rainfall Estimation in Data-Sparse Regions

Saeedi et al.
Water Resources Research
Minor Revision

Dynamics of groundwater-land surface response times as a dryland flash drought diagnosis

Nguyen et al.
-
submitted

Domain-Robust Flood Mappingwith PolSAR-InformedDeepLearninginData-Denied Regions: EvidencefromAridandMonsoonal Environments

Lee et al.
IEEE Transactions on Geoscience & Remote Sensing
Under Review

L-band-like Soil Moisture and Vegetation Optical Depth Can be Retrieved from C-band Soil Moisture

Lee et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
to be submitted

Process-Guided Graph Attention Network for Streamflow Predictions in Data-Sparse Regions

Budmala et al.
Water Resources Research
to be submitted

Advancing Flash Drought Prediction from the Land-Atmosphere Perspective: Potential of Remote Sensing Data and Artificial Intelligence Approaches

Kim et al.
TBD
to be submitted

Runoff nonlinearities contribute to increased fall drought susceptibility

Crow et al.
Geophysical Research Letters
to be submitted

Impact of Land Use Land Cover Changes on Carbon and Water Cycle Interactions: Using Data Driven Modeling and Satellite Products

M. Umair, S. Khan, H. Kim, M. Azmat, S. Atif
American Geophysical Union, Fall Meeting
December 1, 2021

Impact of Climate Change on Road Networks: Travel Demand, Machine Learning, and Flooding Simulation Models

S. Ryu, H. Kim, E. Cho, R. Zhang
US-KOREA Conference on Science, Technology, and Entrepreneurship
January 1, 2021

Assimilation of SMAP-enhanced and SMAP/Sentinel-1A/B soil moisture data into land surface models

H. Kim, V. Lakshmi, S. Kumar, Y. Kwon
European Geosciences Union, General Assembly Conference
December 1, 2020

Producing Satellite-based Diurnal Time-scale Soil Moisture Retrievals using Existing Microwave Satellites and GNSS-R Data

H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2020

Error Characteristic Assessments of Soil Moisture Estimates from Satellites and Land Surface Models: Focusing on Forested and Irrigated Regions

H. Kim, J. Wigneron, S.V. Kumar, J. Dong, W. Wagner, M.H. Cosh, D.D. Bosch, C.H. Collins, P.J. Starks, M.S. Seyfried, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2020

An Integrated Framework to Predict Peak Flood and Map Inundation Areas in the Chesapeake Bay Using Machine Learning Methods with High-Resolution Lidar DEM and Satellite Data

R. Zhang, H. Kim, L. Band, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2020

Detecting Inland Waterbodies Using GNSS-R Data: Intercomparison of Previous Methods and a New Machine Learning Approach

G. Pavur, H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2020

Leveraging Soil Moisture for Early Flood Detection

V. Sunkara, C. Doyle, H. Kim, B. Tellman, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2020

Assimilation of GPS soil moisture data from CYGNSS into land surface models

H. Kim, Y. Kwon, S.V. Kumar, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2019

The Impact of Irrigation on the Water Cycle in the Continental United States (CONUS)

H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2018

Contact me

If you have a keen interest in the intersection of climate change and its impact on hydrological research fields, I encourage you to consider pursuing a Master's, PhD, or postdoctoral position. By delving deeper into this critical area of study, you can play an essential role in addressing the world's most pressing environmental challenges and help safeguard our water resources, ecosystems, and communities. Your dedication and expertise can significantly contribute to the development of sustainable solutions and innovative approaches to hydrological research. Embark on this exciting journey and become part of the passionate community of scientists working towards a more resilient and environmentally responsible future.