Прати
Liran Peng
Liran Peng
Верификована је имејл адреса на uci.edu
Наслов
Навело
Навело
Година
Single aircraft integration of remote sensing and in situ sampling for the study of cloud microphysics and dynamics
Z Wang, J French, G Vali, P Wechsler, S Haimov, A Rodi, M Deng, D Leon, ...
Bulletin of the American Meteorological Society 93 (5), 653-668, 2012
157*2012
Climate-invariant machine learning
T Beucler, P Gentine, J Yuval, A Gupta, L Peng, J Lin, S Yu, S Rasp, ...
Science Advances 10 (6), eadj7250, 2024
652024
Role of intense Arctic storm in accelerating summer sea ice melt: An in situ observational study
L Peng, X Zhang, JH Kim, KH Cho, BM Kim, Z Wang, H Tang
Geophysical Research Letters 48 (8), e2021GL092714, 2021
302021
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, ...
Advances in Neural Information Processing Systems 36, 22070-22084, 2023
282023
Comparing storm resolving models and climates via unsupervised machine learning
G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ...
Scientific Reports 13 (1), 22365, 2023
172023
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, ...
NeurIPS, 2023
132023
Ice crystal concentrations in wave clouds: dependencies on temperature, D > 0.5 μm aerosol particle concentration, and duration of cloud processing
L Peng, JR Snider, Z Wang
Atmospheric Chemistry and Physics 15 (11), 6113-6125, 2015
72015
Climate-invariant machine learning. arXiv
T Beucler, M Pritchard, J Yuval, A Gupta, L Peng, S Rasp, F Ahmed, ...
arXiv preprint arXiv:2112.08440, 2021
62021
others 933 (2021). Climate-invariant machine learning
T Beucler, M Pritchard, J Yuval, A Gupta, L Peng, S Rasp
arXiv preprint arXiv:2112.08440 934, 0
5
Multi-fidelity climate model parameterization for better generalization and extrapolation
MA Bhouri, L Peng, MS Pritchard, P Gentine
arXiv preprint arXiv:2309.10231, 2023
42023
Climsim-online: A large multi-scale dataset and framework for hybrid ml-physics climate emulation
S Yu, Z Hu, A Subramaniam, W Hannah, L Peng, J Lin, MA Bhouri, ...
arXiv preprint arXiv:2306.08754, 2023
42023
Sampling Hybrid Climate Simulation at Scale to Reliably Improve Machine Learning Parameterization
J Lin, S Yu, L Peng, T Beucler, E Wong-Toi, Z Hu, P Gentine, M Geleta, ...
arXiv preprint arXiv:2309.16177, 2023
22023
Analysis on structure of Typhoon Longwang based on GPS dropwinsonde data
S Shu, L Peng
Journal of tropical meteorology 17 (3), 193, 2011
22011
Improving stratocumulus cloud amounts in a 200‐m resolution multi‐scale modeling framework through tuning of its interior physics
L Peng, PN Blossey, WM Hannah, CS Bretherton, CR Terai, AM Jenney, ...
Journal of Advances in Modeling Earth Systems 16 (3), e2023MS003632, 2024
12024
Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through 2 tuning of its interior physics
L Peng, M Pritchard, PN Blossey, WM Hannah, CS Bretherton, CR Terai, ...
Authorea Preprints, 2023
12023
Load‐balancing intense physics calculations to embed regionalized high‐resolution cloud resolving models in the E3SM and CESM climate models
L Peng, M Pritchard, WM Hannah, PN Blossey, PH Worley, CS Bretherton
Journal of Advances in Modeling Earth Systems 14 (5), e2021MS002841, 2022
12022
Resolving Low Cloud Feedbacks Globally with HR-MMF: Agreement with LES but Stronger Shortwave Effects
L Peng, PN Blossey, WM Hannah, CS Bretherton, CR Terai, AM Jenney, ...
2025
Comparing storm resolving models and climates via unsupervised machine learning (vol 13, 22365, 2023)
G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ...
SCIENTIFIC REPORTS 14 (1), 2024
2024
Author Correction: Comparing storm resolving models and climates via unsupervised machine learning
G Mooers, M Pritchard, T Beucler, P Srivastava, H Mangipudi, L Peng, ...
Scientific Reports 14, 7391, 2024
2024
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
S Akshay, S Yu, W Hannah, L Peng, J Lin, MA Bhouri, G Ritwik, B Lütjens, ...
2024
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