Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Liran Peng"'
1
Akademický článek
Comparing storm resolving models and climates via unsupervised machine learning
Autor: Griffin Mooers, Mike Pritchard, Tom Beucler, Prakhar Srivastava, Harshini Mangipudi, Liran Peng, Pierre Gentine, Stephan Mandt
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Global storm-resolving models (GSRMs) have gained widespread interest because of the unprecedented detail with which they resolve the global climate. However, it remains difficult to quantify objective differences in how GSRMs resolve comple
Externí odkaz: https://doaj.org/article/b6155a3c215945a09fab68df948762b6
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2
Akademický článek
Improving Stratocumulus Cloud Amounts in a 200‐m Resolution Multi‐Scale Modeling Framework Through Tuning of Its Interior Physics
Autor: Liran Peng, Peter N. Blossey, Walter M. Hannah, Christopher S. Bretherton, Christopher R. Terai, Andrea M. Jenney, Michael Pritchard
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 16, Iss 3, Pp n/a-n/a (2024)
Abstract High‐Resolution Multi‐scale Modeling Frameworks (HR)—global climate models that embed separate, convection‐resolving models with high enough resolution to resolve boundary layer eddies—have exciting potential for investigating low
Externí odkaz: https://doaj.org/article/0e69792e2b6f40fa8477b977799f659e
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4
Akademický článek
Load‐Balancing Intense Physics Calculations to Embed Regionalized High‐Resolution Cloud Resolving Models in the E3SM and CESM Climate Models
Autor: Liran Peng, Michael Pritchard, Walter M. Hannah, Peter N. Blossey, Patrick H. Worley, Christopher S. Bretherton
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 14, Iss 5, Pp n/a-n/a (2022)
Abstract We design a new strategy to load‐balance high‐intensity sub‐grid atmospheric physics calculations restricted to a small fraction of a global climate simulation's domain. We show why the current parallel load balancing infrastructure of
Externí odkaz: https://doaj.org/article/8cd84d3c285d4b36b28c56c7560378b8
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7
Ice crystal concentrations in wave clouds: dependencies on temperature, D > 0.5 μm aerosol particle concentration, and duration of cloud processing
Autor: Liran Peng, Zhien Wang, J. R. Snider
Publikováno v: Atmospheric Chemistry and Physics. 15:6113-6125
Model equations used to either diagnose or prognose the concentration of heterogeneously nucleated ice crystals depend on combinations of cloud temperature, aerosol properties, and elapsed time of supersaturated-vapor or supercooled-liquid conditions
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a06aaf11e728ecc0702c68f5cad06eb
https://doi.org/10.5194/acp-15-6113-2015
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8
Single Aircraft Integration of Remote Sensing and In Situ Sampling for the Study of Cloud Microphysics and Dynamics
Autor: Alfred R. Rodi, Liran Peng, Jeffrey R. French, Min Deng, Zhien Wang, Samuel Haimov, Gabor Vali, Perry Wechsler, D. Leon, Andrew L. Pazmany, J. R. Snider
Publikováno v: Bulletin of the American Meteorological Society. 93:653-668
Clouds are a critical component of the Earth's coupled water and energy cycles. Poor understanding of cloud–radiation–dynamics feedbacks results in large uncertainties in forecasting human-induced climate changes. Better understanding of cloud mi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac0db3c6488753108bdc562f330c5cf6
https://doi.org/10.1175/bams-d-11-00044.1
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