Follow
Sungduk Yu
Sungduk Yu
University of California, Irvine
Verified email at yale.edu
Title
Cited by
Cited by
Year
Zonally contrasting shifts of the tropical rain belt in response to climate change
A Mamalakis, JT Randerson, JY Yu, MS Pritchard, G Magnusdottir, ...
Nature Climate Change 11 (2), 143-151, 2021
1132021
Delayed settling of marine snow at sharp density transitions driven by fluid entrainment and diffusion-limited retention
JC Prairie, K Ziervogel, C Arnosti, R Camassa, C Falcon, S Khatri, ...
Marine Ecology Progress Series 487, 185-200, 2013
572013
A strong role for the AMOC in partitioning global energy transport and shifting ITCZ position in response to latitudinally discrete solar forcing in CESM1. 2
S Yu, MS Pritchard
Journal of Climate 32 (8), 2207-2226, 2019
442019
Extratropical–Tropical Interaction Model Intercomparison Project (Etin-Mip): Protocol and Initial Results
SM Kang, M Hawcroft, B Xiang, YT Hwang, G Cazes, F Codron, T Crueger, ...
Bulletin of the American Meteorological Society 100 (12), 2589-2606, 2019
412019
Sensitivity of coupled tropical Pacific model biases to convective parameterization in CESM1
MD Woelfle, S Yu, CS Bretherton, MS Pritchard
Journal of Advances in Modeling Earth Systems 10 (1), 126-144, 2018
412018
Retention and entrainment effects: Experiments and theory for porous spheres settling in sharply stratified fluids
R Camassa, S Khatri, RM McLaughlin, JC Prairie, BL White, S Yu
Physics of Fluids 25 (8), 081701, 2013
362013
Climate-invariant machine learning
T Beucler, M Pritchard, J Yuval, A Gupta, L Peng, S Rasp, F Ahmed, ...
arXiv preprint arXiv:2112.08440, 2021
252021
The Role of Westerly Wind Bursts During Different Seasons Versus Ocean Heat Recharge in the Development of Extreme El Nińo in Climate Models
S Yu, AV Fedorov
Geophysical Research Letters 47 (16), e2020GL088381, 2020
172020
Sensitivity of summer ensembles of fledgling superparameterized US mesoscale convective systems to cloud resolving model microphysics and grid configuration
EJ Elliott, S Yu, GJ Kooperman, H Morrison, M Wang, MS Pritchard
Journal of Advances in Modeling Earth Systems 8 (2), 634-649, 2016
132016
The effect of large‐scale model time step and multiscale coupling frequency on cloud climatology, vertical structure, and rainfall extremes in a superparameterized GCM
S Yu, MS Pritchard
Journal of Advances in Modeling Earth Systems 7 (4), 1977-1996, 2015
122015
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
S Yu, WM Hannah, L Peng, MA Bhouri, R Gupta, J Lin, B Lütjens, JC Will, ...
arXiv preprint arXiv:2306.08754, 2023
52023
Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
S Yu, M Pritchard, PL Ma, B Singh, S Silva
arXiv preprint arXiv:2302.03845, 2023
42023
The Essential Role of Westerly Wind Bursts in ENSO Dynamics and Extreme Events Quantified in Model “Wind Stress Shaving” Experiments
S Yu, AV Fedorov
Journal of Climate, 2022
42022
Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models
J Lin, S Yu, T Beucler, P Gentine, D Walling, M Pritchard
arXiv preprint arXiv:2309.16177, 2023
32023
Zonally opposing shifts of the intertropical convergence zone in response to climate change
A Mamalakis, JT Randerson, JY Yu, MS Pritchard, G Magnusdottir, ...
arXiv preprint arXiv:2007.00239, 2020
32020
Biophysical coupling of marine hotspots
Y Watanuki, RP Wilson, JC Prairie, K Ziervogel, C Arnosti, R Camassa, ...
Marine Ecology Progress Series 487, 176-304, 2013
22013
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
J Nathaniel, Y Qu, T Nguyen, S Yu, J Busecke, A Grover, P Gentine
arXiv preprint arXiv:2402.00712, 2024
12024
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ...
37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023
12023
SETTLING OF POROUS SPHERES, AS A PROXY FOR MARINE SNOW, THROUGH DENSITY STRATIFICATION 2
S Yu
University of North Carolina at Chapel Hill, 2013
12013
Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations
G Behrens, T Beucler, F Iglesias-Suarez, S Yu, P Gentine, M Pritchard, ...
arXiv preprint arXiv:2402.03079, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20