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Hyunglok Kim
Hyunglok Kim
Assistant Professor, School of Earth Sciences and Environmental Engineering, GIST
Verified email at usda.gov - Homepage
Title
Cited by
Cited by
Year
Use of cyclone global navigation satellite system (CyGNSS) observations for estimation of soil moisture
H Kim, V Lakshmi
Geophysical Research Letters 45 (16), 8272-8282, 2018
2092018
Global-scale Assessment and Combination of SMAP with ASCAT (Active) and AMSR2 (Passive) Soil Moisture Products
H Kim, R Parinussa, A Konings, W Wagner, M Cosh, V Lakshmi, M Zohaib, ...
Remote Sensing of Environment 204, 260-275, 2018
2032018
Global scale error assessments of soil moisture estimates from microwave- based active and passive satellites and land surface models over forest and mixed irrigated/dryland …
H Kim, JP Wigneron, S Kumar, J Dong, W Wagner, MH Cosh, DD Bosch, ...
Remote Sensing of Environment, 2020
992020
Impact of soil moisture on dust outbreaks in East Asia: Using satellite and assimilation data
H Kim, M Choi
Geophysical Research Letters 42 (8), 2789-2796, 2015
972015
Dust emission modeling using a new high‐resolution dust source function in WRF‐Chem with implications for air quality
SP Parajuli, GL Stenchikov, A Ukhov, H Kim
Journal of Geophysical Research: Atmospheres 124 (17-18), 10109-10133, 2019
782019
Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia?
E Cho, CH Su, D Ryu, H Kim, M Choi
Remote Sensing of Environment 188, 95-105, 2017
602017
Evaluation of the soil water content using cosmic-ray neutron probe in a heterogeneous monsoon climate-dominated region
HH Nguyen, H Kim, M Choi
Advances in Water Resources 108, 125-138, 2017
552017
Evaluating the Patterns of Spatiotemporal Trends of Root Zone Soil Moisture in Major Climate Regions in East Asia
M Zohaib, H Kim, M Choi
Journal of Geophysical Research: Atmospheres, 2017
532017
Detecting global irrigated areas by using satellite and reanalysis products
M Zohaib, H Kim, M Choi
Science of the Total Environment 677, 679-691, 2019
482019
Assessment of drought conditions over Vietnam using standardized precipitation evapotranspiration index, MERRA-2 re-analysis, and dynamic land cover
MH Le, H Kim, H Moon, R Zhang, V Lakshmi, LB Nguyen
Journal of Hydrology: Regional Studies 32, 100767, 2020
452020
Field evaluation of portable soil water content sensors in a sandy loam
H Kim, MH Cosh, R Bindlish, V Lakshmi
Vadose Zone Journal, 2020
342020
Development and assessment of the sand dust prediction model by utilizing microwave‐based satellite soil moisture and reanalysis datasets in East Asian desert areas
H Kim, M Zohaib, E Cho, YH Kerr, M Choi
Advances in Meteorology 2017 (1), 1917372, 2017
322017
Global dynamics of stored precipitation water in the topsoil layer from satellite and reanalysis data
H Kim, V Lakshmi
Water Resources Research 55 (4), 3328-3346, 2019
312019
First attempt of global-scale assimilation of subdaily scale soil moisture estimates from CYGNSS and SMAP into a land surface model
H Kim, V Lakshmi, Y Kwon, S Kumar
Environmental Research Letters, 2021
252021
Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions.
Y Jung, H Kim, J Baik, M Choi
Terrestrial, Atmospheric & Oceanic Sciences 25 (2), 2014
222014
Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products
D Kim, H Moon, H Kim, J Im, M Choi
Advances in Meteorology 2018, 1-16, 2018
192018
True Global Error Maps for SMAP, SMOS, and ASCAT Soil Moisture Data Based on Machine Learning and Triple Collocation Analysis
H Kim, W Crow, X Li, W Wagner, S Hahn, V Lakshmi
Remote Sensing of Environment, 2023
152023
A Bayesian Machine Learning Method to Explain the Error Characteristics of Global-Scale Soil Moisture Products
H Kim, W Crow, W Wagner, X Li, V Lakshmi
Remote Sensing of Environment, 2023
142023
Spatial composition of AMSR2 soil moisture products by conditional merging technique with ground soil moisture data
D Kim, J Lee, H Kim, M Choi
Stochastic Environmental Research and Risk Assessment 30, 2109-2126, 2016
142016
Assessment and Combination of SMAP and Sentinel-1A/B-Derived Soil Moisture Estimates With Land Surface Model Outputs in the Mid-Atlantic Coastal Plain, USA
H Kim, S Lee, MH Cosh, V Lakshmi, Y Kwon, GW McCarty
IEEE Transactions on Geoscience and Remote Sensing, 1-21, 2020
132020
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