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Yonghwan Kwon
Yonghwan Kwon
Hydrological sciences laboratory, NASA Goddard Space Flight Center
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Evaluation of the snow simulations from the Community Land Model, version 4 (CLM4)
AM Toure, M Rodell, ZL Yang, H Beaudoing, E Kim, Y Zhang, Y Kwon
Journal of Hydrometeorology 17 (1), 153-170, 2016
662016
Evaluating the uncertainty of terrestrial water budget components over high mountain Asia
Y Yoon, SV Kumar, BA Forman, BF Zaitchik, Y Kwon, Y Qian, S Rupper, ...
Frontiers in earth science 7, 120, 2019
542019
Estimating snow water storage in North America using CLM4, DART, and snow radiance data assimilation
Y Kwon, ZL Yang, L Zhao, TJ Hoar, AM Toure, M Rodell
Journal of Hydrometeorology 17 (11), 2853-2874, 2016
412016
Exploring the utility of machine learning-based passive microwave brightness temperature data assimilation over terrestrial snow in high mountain Asia
Y Kwon, BA Forman, JA Ahmad, SV Kumar, Y Yoon
Remote Sensing 11 (19), 2265, 2019
312019
Improving the radiance assimilation performance in estimating snow water storage across snow and land-cover types in North America
Y Kwon, ZL Yang, TJ Hoar, AM Toure
Journal of Hydrometeorology 18 (3), 651-668, 2017
312017
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, SV Kumar
Environmental Research Letters 16 (7), 074041, 2021
202021
Analyzing machine learning predictions of passive microwave brightness temperature spectral difference over snow-covered terrain in high mountain Asia
JA Ahmad, BA Forman, Y Kwon
Frontiers in Earth Science 7, 212, 2019
202019
Error characterization of coupled land surface-radiative transfer models for snow microwave radiance assimilation
Y Kwon, AM Toure, ZL Yang, M Rodell, G Picard
IEEE Transactions on Geoscience and Remote Sensing 53 (9), 5247-5268, 2015
192015
Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system
Y Kwon, SV Kumar, M Navari, DM Mocko, EM Kemp, JW Wegiel, ...
Environmental Research Letters 17 (8), 084006, 2022
102022
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 59 (2), 991-1011, 2020
102020
Quantifying the observational requirements of a space-borne LiDAR snow mission
Y Kwon, Y Yoon, BA Forman, SV Kumar, L Wang
Journal of Hydrology 601, 126709, 2021
72021
Data assimilation enhancements to air force weather’s land information system
J Wegiel, SV Kumar, C Peters-Lidard, EM Kemp, JV Geiger, S Wang, ...
Conference on Hydrology, 2020
52020
Development and evaluation of the Soil and Water Temperature Model (SWTM) for rural catchments
Y Kwon, BK Koo
Journal of hydrology 553, 457-470, 2017
42017
Simulation of spatio-temporal distributions of winter soil temperature taking account of snow-melting and soil freezing-thawing processes.
YH Kwon, BK Koo
Journal of Korea Water Resources Association 47 (10), 945-958, 2014
42014
Synthetic Study of Spaceborne LiDAR Snow Depth Retrieval Assimilation within the NASA Land Information System
Y Kwon, Y Yoon, BA Forman, S Kumar, L Wang
AGU Fall Meeting Abstracts 2018, H31I-2021, 2018
22018
Assimilation of airborne gamma observations provides utility for snow estimation in forested environments
E Cho, Y Kwon, SV Kumar, CM Vuyovich
Hydrology and Earth System Sciences Discussions 2022, 1-26, 2022
12022
Evaluation and intercomparison of the effects of snow and soil moisture data assimilation in three LSMs from the Air Force's operational Global Hydro-Intelligence System
DM Mocko, JW Wegiel, SV Kumar, EM Kemp, Y Yoon, M Navari, Y Kwon, ...
104th AMS Annual Meeting, 2024
2024
Impact of Soil Moisture During Planting Season on Agricultural Production–A Case Study in Illinois
PW Liu, R Bindlish, PE O'Neill, SV Kumar, Y Kwon, TM Lahmers, ...
Frontiers in Hydrology 2022, 139-05, 2022
2022
NASA Earth Science Technology Office (ESTO) Advanced Information Systems Technology (AIST) New Observing Strategies (NOS)
J Le Moigne-stewart, E Gutmann, G Liston, CM Vuyovich, BA Forman, ...
ESTO AIST Website (https://esto. nasa. gov/aist/), 2022
2022
High Spatio-Temporal Root Zone Soil Moisture for Agriculture using Data Assimilation in the Land Information System Framework Case Study in Mississippi River Basin
PW Liu, R Bindlish, S Kumar, P O'Neill, Y Kwon, T Lahmers, S Wang, ...
AGU Fall Meeting Abstracts 2021, H25F-1102, 2021
2021
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