Jonghyun "Harry" Lee

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Peter K. KitanidisProfessor, Stanford UniversityEmail yang diverifikasi di stanford.edu
matthew farthingUS Engineer Research and Development CenterEmail yang diverifikasi di erdc.dren.mil
Eric DarveStanfordEmail yang diverifikasi di stanford.edu
Hongkyu Yoonsandia national laboratoriesEmail yang diverifikasi di sandia.gov
Tyler HesserUSACE, U.S. Army Engineer Research and Development CenterEmail yang diverifikasi di erdc.dren.mil
Massimo RolleProfessor of Aquatic Geochemistry, Technical University of DarmstadtEmail yang diverifikasi di tu-darmstadt.de
hojat ghorbanidehnoStudent in Mechanical Engineering department, Stanford UniversityEmail yang diverifikasi di stanford.edu
Amalia KokkinakiUniversity of San FranciscoEmail yang diverifikasi di usfca.edu
Mojtaba ForghaniMITEmail yang diverifikasi di mit.edu
Xueyuan KangResearch Associate at the Colorado School of MinesEmail yang diverifikasi di mines.edu
Teeratorn KadeethumSandia National LaboratoriesEmail yang diverifikasi di sandia.gov
Xiaoqing Shi（施小清）Professor of Hydrogeology, Nanjing UniversityEmail yang diverifikasi di nju.edu.cn
Tissa IllangasekareDistinguished Chair & Professor Civil and Environmental Engineering, Colorado School of MinesEmail yang diverifikasi di mines.edu
Aly El-KadiUniversity of HawaiiEmail yang diverifikasi di hawaii.edu
Kathleen SmitsSouthern Methodist UniversityEmail yang diverifikasi di smu.edu
Maria BattistelPostdoc Technical University of DenmarkEmail yang diverifikasi di env.dtu.dk
Julia RegneryFederal Institute of Hydrology (BfG)Email yang diverifikasi di bafg.de
Yizhou QianStanford UniversityEmail yang diverifikasi di stanford.edu
Henrietta DulaiUniversity of Hawaii at ManoaEmail yang diverifikasi di hawaii.edu
Katherine BrodieResearch Oceanographer, US Army Engineer Research and Development Center, Coastal & Hydraulics LaboratoryEmail yang diverifikasi di usace.army.mil

Ikuti

Jonghyun "Harry" Lee

Nama lainnyaJonghyun Lee

University of Hawaii at Manoa

Email yang diverifikasi di hawaii.edu - Beranda

Hydrogeology Inverse problems Stochastic optimization Near-shore hydrodynamics Deep Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Large‐scale hydraulic tomography and joint inversion of head and tracer data using the principal component geostatistical approach (PCGA) J Lee, PK Kitanidis Water Resources Research 50 (7), 5410-5427, 2014	127	2014
Principal component geostatistical approach for large‐dimensional inverse problems PK Kitanidis, J Lee Water resources research 50 (7), 5428-5443, 2014	102	2014
A framework for data-driven solution and parameter estimation of pdes using conditional generative adversarial networks T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ... Nature Computational Science 1 (12), 819-829, 2021	96	2021
Predictor selection for downscaling GCM data with LASSO D Hammami, TS Lee, TBMJ Ouarda, J Lee Journal of Geophysical Research: Atmospheres 117 (D17), 2012	92	2012
A learning-based data-driven forecast approach for predicting future reservoir performance H Jeong, AY Sun, J Lee, B Min Advances in Water Resources 118, 95-109, 2018	72	2018
Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion AK Saibaba, J Lee, PK Kitanidis Numerical Linear Algebra with Applications 23 (2), 314-339, 2016	70	2016
Imaging geochemical heterogeneities using inverse reactive transport modeling: An example relevant for characterizing arsenic mobilization and distribution S Fakhreddine, J Lee, PK Kitanidis, S Fendorf, M Rolle Advances in Water Resources 88, 186-197, 2016	59	2016
Bayesian inversion with total variation prior for discrete geologic structure identification J Lee, PK Kitanidis Water Resources Research 49 (11), 7658-7669, 2013	58	2013
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology H Ghorbanidehno, A Kokkinaki, J Lee, E Darve Journal of Hydrology 591, 125266, 2020	56	2020
Microfluidic Investigation of Salinity-Induced Oil Recovery in Porous Media during Chemical Flooding S Park, J Lee, H Yoon, S Shin Energy & Fuels 35 (6), 4885-4892, 2021	54	2021
Scalable subsurface inverse modeling of huge data sets with an application to tracer concentration breakthrough data from magnetic resonance imaging J Lee, H Yoon, PK Kitanidis, CJ Werth, AJ Valocchi Water Resources Research 52 (7), 5213-5231, 2016	45	2016
Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother X Kang, A Kokkinaki, PK Kitanidis, X Shi, J Lee, S Mo, J Wu Water Resources Research 57 (2), e2020WR028538, 2021	41	2021
Improved characterization of heterogeneous permeability in saline aquifers from transient pressure data during freshwater injection PK Kang, J Lee, X Fu, S Lee, PK Kitanidis, R Juanes Water Resources Research 53 (5), 4444-4458, 2017	37	2017
Improved characterization of DNAPL source zones via sequential hydrogeophysical inversion of hydraulic‐head, self‐potential and partitioning‐tracer data X Kang, A Kokkinaki, PK Kitanidis, X Shi, A Revil, J Lee, A Soueid Ahmed, ... Water Resources Research 56 (8), e2020WR027627, 2020	35	2020
Reactive fronts in chemically heterogeneous porous media: Experimental and modeling investigation of pyrite oxidation M Battistel, M Muniruzzaman, F Onses, J Lee, M Rolle Applied Geochemistry 100, 77-89, 2019	35	2019
Optimizing automated kriging to improve spatial interpolation of monthly rainfall over complex terrain MP Lucas, RJ Longman, TW Giambelluca, AG Frazier, J Mclean, ... Journal of Hydrometeorology 23 (4), 561-572, 2022	34	2022
Longitudinal dispersion coefficients for numerical modeling of groundwater solute transport in heterogeneous formations J Lee, M Rolle, PK Kitanidis Journal of contaminant hydrology 212, 41-54, 2018	30	2018
Value of information as a context-specific measure of uncertainty in groundwater remediation X Liu, J Lee, PK Kitanidis, J Parker, U Kim Water Resources Management 26, 1513-1535, 2012	30	2012
Riverine bathymetry imaging with indirect observations J Lee, H Ghorbanidehno, MW Farthing, TJ Hesser, EF Darve, PK Kitanidis Water Resources Research 54 (5), 3704-3727, 2018	29	2018
Deep learning technique for fast inference of large-scale riverine bathymetry H Ghorbanidehno, J Lee, M Farthing, T Hesser, EF Darve, PK Kitanidis Advances in Water Resources 147, 103715, 2021	28	2021

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