Jongho Kim
Jongho Kim
Vahvistettu sähköpostiosoite verkkotunnuksessa
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
S Fatichi, ER Vivoni, FL Ogden, VY Ivanov, B Mirus, D Gochis, ...
Journal of Hydrology 537, 45-60, 2016
Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
RM Maxwell, M Putti, S Meyerhoff, JO Delfs, IM Ferguson, V Ivanov, J Kim, ...
Water resources research 50 (2), 1531-1549, 2014
Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow
J Kim, A Warnock, VY Ivanov, ND Katopodes
Advances in water resources 37, 104-126, 2012
Uncertainty partition challenges the predictability of vital details of climate change
S Fatichi, VY Ivanov, A Paschalis, N Peleg, P Molnar, S Rimkus, J Kim, ...
Earth's Future 4 (5), 240-251, 2016
Modeling erosion and sedimentation coupled with hydrological and overland flow processes at the watershed scale
J Kim, VY Ivanov, ND Katopodes
Water Resources Research 49 (9), 5134-5154, 2013
Hydraulic resistance to overland flow on surfaces with partially submerged vegetation
J Kim, VY Ivanov, ND Katopodes
Water Resources Research 48 (10), 2012
Climate change and uncertainty assessment over a hydroclimatic transect of Michigan
J Kim, VY Ivanov, S Fatichi
Stochastic Environmental Research and Risk Assessment 30, 923-944, 2016
Abiotic and biotic controls of soil moisture spatiotemporal variability and the occurrence of hysteresis
S Fatichi, GG Katul, VY Ivanov, C Pappas, A Paschalis, A Consolo, J Kim, ...
Water Resources Research 51 (5), 3505-3524, 2015
On the nonuniqueness of sediment yield at the catchment scale: The effects of soil antecedent conditions and surface shield
J Kim, VY Ivanov
Water Resources Research 50 (2), 1025-1045, 2014
The role of rainfall spatial variability in estimating areal reduction factors
J Kim, J Lee, D Kim, B Kang
Journal of Hydrology 568, 416-426, 2019
Environmental stochasticity controls soil erosion variability
J Kim, VY Ivanov, S Fatichi
Scientific Reports 6 (1), 22065, 2016
A holistic, multi-scale dynamic downscaling framework for climate impact assessments and challenges of addressing finer-scale watershed dynamics
J Kim, VY Ivanov
Journal of Hydrology 522, 645-660, 2015
Soil erosion assessment—Mind the gap
J Kim, VY Ivanov, S Fatichi
Geophysical Research Letters 43 (24), 12,446-12,456, 2016
Breaking down the computational barriers to real‐time urban flood forecasting
VY Ivanov, D Xu, MC Dwelle, K Sargsyan, DB Wright, N Katopodes, J Kim, ...
Geophysical Research Letters 48 (20), e2021GL093585, 2021
Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification
VYI M. Chase Dwelle, Jongho Kim, Khachik Sargsyan
Advances in Water Resources 125 (3), 13-31, 2019
On the non-uniqueness of the hydro-geomorphic responses in a zero-order catchment with respect to soil moisture
J Kim, MC Dwelle, SK Kampf, S Fatichi, VY Ivanov
Advances in Water Resources 92, 73-89, 2016
A novel modeling framework for computationally efficient and accurate real‐time ensemble flood forecasting with uncertainty quantification
VN Tran, MC Dwelle, K Sargsyan, VY Ivanov, J Kim
Water Resources Research 56 (3), e2019WR025727, 2020
On the use of observations in assessment of multi-model climate ensemble
D Xu, VY Ivanov, J Kim, S Fatichi
Stochastic Environmental Research and Risk Assessment 33 (11-12), 1923-1937, 2019
Improving the accuracy of dam inflow predictions using a long short-term memory network coupled with wavelet transform and predictor selection
TD Tran, VN Tran, J Kim
Mathematics 9 (5), 551, 2021
Quantification of predictive uncertainty with a metamodel: Toward more efficient hydrologic simulations
VN Tran, J Kim
Stochastic Environmental Research and Risk Assessment 33, 1453-1476, 2019
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Artikkelit 1–20