Hyunglok Kim

Hyunglok Kim

University of Virginia

H-index: 15

North America-United States

About Hyunglok Kim

Hyunglok Kim, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Satellite Remote Sensing, Water Cycle, Land Surface Modeling, Data Assimilation, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting

Interpreting Effective Hydrologic Depth Estimates Derived from Soil Moisture Remote Sensing: A Bayesian Non-Linear Modelling Approach

Quantifying the fraction of precipitation transformed into terrestrial water storage in global river basins

A Framework on Utilizing of Publicly Availability Stream Gauges Datasets and Deep Learning in Estimating Monthly Basin-scale Runoff in Ungauged Regions

Spatial Comparison of Inland Water Observations from CYGNSS, MODIS, Landsat, and Commercial Satellite Imagery

Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals from Different Frequencies and Acquisition Times of AMSR2

Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification

Temporal Gap-filling of 12-hourly SMAP Soil Moisture over the CONUS using Water Balance Budgeting

Hyunglok Kim Information

University

Position

___

Citations(all)

1008

Citations(since 2020)

870

Cited By

423

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

16

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Hyunglok Kim Skills & Research Interests

Satellite Remote Sensing

Water Cycle

Land Surface Modeling

Data Assimilation

Machine Learning

Top articles of Hyunglok Kim

Title

Journal

Author(s)

Publication Date

Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting

Journal of Hydrometeorology

Wade T. Crow

Hyunglok Kim

Sujay Kumar

2024/1/1

Interpreting Effective Hydrologic Depth Estimates Derived from Soil Moisture Remote Sensing: A Bayesian Non-Linear Modelling Approach

Science of The Total Environment

Hyunglok Kim

Wade Crow

2024/1/1

Quantifying the fraction of precipitation transformed into terrestrial water storage in global river basins

Lizhe Wang

Yulong Zhong

Baoming Tian

Hyunglok Kim

Xing Yuan

...

2024/4/15

A Framework on Utilizing of Publicly Availability Stream Gauges Datasets and Deep Learning in Estimating Monthly Basin-scale Runoff in Ungauged Regions

Advances in Water Resources

Manh-Hung Le

Hyunglok Kim

Hong Xuan Do

Peter A Beling

Venkataraman Lakshmi

2024/4/9

Spatial Comparison of Inland Water Observations from CYGNSS, MODIS, Landsat, and Commercial Satellite Imagery

IEEE Geoscience and Remote Sensing Letters

Gigi Pavur

Hyunglok Kim

Bin Fang

Venkataraman Lakshmi

2024/2/1

Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals from Different Frequencies and Acquisition Times of AMSR2

IEEE Transactions on Geoscience and Remote Sensing

Muhammad Zohaib

Hyunglok Kim

Venkataraman Lakshmi

2023/4/5

Performance assessment of SM2RAIN-NWF using ASCAT soil moisture via supervised land cover-soil-climate classification

Remote Sensing of Environment

Mohammad Saeedi

Sina Nabaei

Hyunglok Kim

Ameneh Tavakol

Venkataraman Lakshmi

2023/2/1

Temporal Gap-filling of 12-hourly SMAP Soil Moisture over the CONUS using Water Balance Budgeting

Water Resources Research

Zhang Runze

Seokhyeon Kim

Hyunglok Kim

Ashish Sharma

Venkat Lakshmi

2023/12/31

True Global Error Maps for SMAP, SMOS, and ASCAT Soil Moisture Data Based on Machine Learning and Triple Collocation Analysis

Remote Sensing of Environment

Hyunglok Kim

Wade Crow

Xiaojun Li

Wolfgang Wagner

Sebastian Hahn

...

2023/12/1

A Bayesian Machine Learning Method to Explain the Error Characteristics of Global-Scale Soil Moisture Products

Remote Sensing of Environment

Hyunglok Kim

Wade T Crow

Wolfgang Wagner

Xiaojun Li

Venkataraman Lakshmi

2023/10/1

Global Scale Mapping of Subsurface Scattering Signals Impacting ASCAT Soil Moisture Retrievals

Authorea Preprints

Wolfgang Wagner

Roland Lindorfer

Sebastian Hahn

Hyingglok Kim

Mariette Vreugdenhil

...

2023/10/31

Reconstruction of the SMAP-based 12-hourly soil moisture product over the CONUS through water balance budgeting

R Zhang

S Kim

B Fang

A Sharma

V Lakshmi

2022/12

Hydrological flash drought forecasting using meteorological flash drought indices and machine learning approaches – A case study in the Mississippi River Basin

AGU Fall Meeting Abstracts

Sophia Bakar

Daniela Quintero

Manh-Hung Le

Hyunglok Kim

Stephen Adams

...

2022/12

A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation

Science of The Total Environment

Mohammad Saeedi

Hyunglok Kim

Sina Nabaei

Luca Brocca

Venkataraman Lakshmi

...

2022/9/10

Uncertainty Analysis Framework in the Water Balance Equation Using Bayesian Statistical Modeling Approach

H. Kim

W. Crow

2022/12

Streamflow estimation in ungauged regions using machine learning: quantifying uncertainties in geographic extrapolation

Hydrology and Earth System Sciences Discussions

Manh-Hung Le

Hyunglok Kim

Stephen Adam

Hong Xuan Do

Peter Beling

...

2022/9/9

Retrieving Runoff in Ungauged Basins using Satellite Observations of Rainfall and Soil Moisture

H. Kim

W. Crow

2022/12

Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed

Agricultural Water Management

Sangchul Lee

Junyu Qi

Gregory W McCarty

Martha Anderson

Yun Yang

...

2022/4/30

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

2022/12

Global downscaling and assimilation of soil moisture

Venkataraman Lakshmi

Bin Fang

Hyunglok Kim

2022/3/23

See List of Professors in Hyunglok Kim University(University of Virginia)

Co-Authors

H-index: 96
Wolfgang Wagner

Wolfgang Wagner

Technische Universität Wien

H-index: 50
Venkataraman Lakshmi

Venkataraman Lakshmi

University of Virginia

H-index: 40
Minha Choi

Minha Choi

Sungkyunkwan University

H-index: 37
Alexandra Konings

Alexandra Konings

Stanford University

H-index: 23
Dongkyun Kim

Dongkyun Kim

Hongik University

H-index: 20
Sangchul Lee

Sangchul Lee

University of Seoul

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