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
Hyunglok Kim, Wade T. Crow, and Venkataraman Lakshmi
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Under Preperation
Developing Independent CYGNSS Soil Moisture Retrieval Algorithm with Mitigated Vegetation Effects: Incorporating a Two-Step and Relative SNR Approaches
Ziyue Zhu, Hyunglok Kim*, Venkataraman Lakshmi
Jounal of Remote Sensing
minor revision
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
Under Review
Flood inundation mapping with CYGNSS over CONUS: a two-step machine- learning-based framework
Wang et al.
Journal of Hydrology
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
under review
Unsupervised Neural and Statistical Clustering for Scalable Rainfall Estimation in Data-Sparse Regions
Mohammad et al.
Water Resources Research
Under Review
Systematic Modeling Errors Strongly Undermine The Value Of Land Data Assimilation Systems And Microwave Remote Sensing For Water Flux Estimation
W. T. Crow, H. Kim , S. Kumar
IEEE International Geoscience and Remote Sensing Symposium
July 21, 2023
Utilizing Bayesian Machine Learning for Analyzing Error Patterns in Global-Scale Soil Moisture Data
H. Kim , W. T. Crow, W. Wagner, X. Li, V. Lakshmi
Hydrology Machine Learning (HydroML) Symposium, Phase 2 at Berkeley Lab
May 1, 2023
Hydrological flash drought forecasting using meteorological flash drought indices and machine learning approaches – A case study in the Mississippi River Basin
S. Bakar, D. Quintero, M. Le, H. Kim, S. S. Adams, P. Beling, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2022
Reconstruction of the SMAP-based 12-hourly soil moisture product over the CONUS through water balance budgeting
R. Zhang, S. Kim, H. Kim, B. Fang, A. Sharma, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2022
Changes in Extreme Precipitation Patterns in the Meuse River Basin as a Driver of the July 2021 Flooding
B. Goffin, P. Kansara, H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2022
Retrieving Runoff in Ungauged Basins using Satellite Observations of Rainfall and Soil Moisture
H. Kim, W. Crow
American Geophysical Union, Fall Meeting
December 1, 2022
Uncertainty Analysis Framework in the Water Balance Equation Using Bayesian Statistical Modeling Approach
H. Kim, W. Crow
American Geophysical Union, Fall Meeting
December 1, 2022
Global downscaling and assimilation of soil moisture
V. Lakshmi, B. Fang, H Kim
IAHS2022
March 1, 2022
Deep Learning and Bayesian Inference via Samplings and Variational Approximations to Characterize Spatially Continuous Global-scale Satellite-based Soil Moisture Error Patterns
H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2021
Water Cycle in Different Time Scales: Analyzing the Impact of Human-driven Changes in Land Cover using Bayesian Inferences and Data Assimilation Methods
H. Kim, V. Lakshmi
American Geophysical Union, Fall Meeting
December 1, 2021
