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Multiscale Models with Moisture and Systematic Strategies for Superparameterization [PDF]
Journals of the Atmospheric Sciences, 2007 AbstractThe accurate parameterization of moist convection presents a major challenge for the accurate prediction of weather and climate through numerical models. Superparameterization is a promising recent alternative strategy for including the effects of moist convection through explicit turbulent fluxes calculated from a cloud-resolving model.
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MJO Intensification with Warming in the Superparameterized CESM
Journal of Climate, 2015Abstract The Madden–Julian oscillation (MJO) is the dominant mode of tropical intraseasonal variability, characterized by an eastward-propagating envelope of convective anomalies with a 30–70-day time scale. Here, the authors report changes in MJO activity across coupled simulations with a superparameterized version of the NCAR Community
Nathan P. Arnold +4 more
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Superparameterization of Oceanic Boundary Layer Transport
2006Abstract : LONG-TERM GOALS. To achieve deeper understanding of physical processes in turbulent planetary boundary layers and apply it to the development of more physically accurate modeling of coherent vortices to assess the oceanic boundary layer parameterizations used in high-resolution ocean models, specifically with respect to their impact on ...
Isaac Ginis, Georgi Sutyrin
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An Improved Framework for Superparameterization
Journal of the Atmospheric Sciences, 2004This paper discusses a large-scale modeling system with explicit representation of small-scale and mesoscale processes provided by a cloud-resolving model embedded in each column of a large-scale model, the superparameterization. In the original formulation, referred to as the cloud-resolving convection parameterization (CRCP), thermodynamic variables ...
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New Efficient Sparse Space–Time Algorithms for Superparameterization on Mesoscales
Monthly Weather Review, 2009Abstract Superparameterization (SP) is a large-scale modeling system with explicit representation of small-scale and mesoscale processes provided by a cloud-resolving model (CRM) embedded in each column of a large-scale model. New efficient sparse space–time algorithms based on the original idea of SP are presented.
Andrew J. Majda +2 more
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Superparameterization of low-temperature vibrational data for lanthanide hexahalide anions
Spectrochimica Acta Part A: Molecular Spectroscopy, 1994Abstract A complete dataset is presented for the modes of vibration of LnCl 3− 6 in Cs 2 NaLnCl 6 , from low temperature Raman and vibronic spectroscopy. Conventional force constant calculations with this dataset are unsatisfactory since, although the datafits are quite good, the physical significance of the derived force constant parameters is not
Peter Tanner, M.-Y. Shen
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Parameter estimation in the stochastic superparameterization of two-layer quasigeostrophic flows
Research in the Mathematical Sciences, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Implied Ocean Heat Transports in the Standard and Superparameterized Community Atmospheric Models
Journal of Climate, 2010Abstract Implied ocean heat transport (To) based on net surface energy budgets is computed for two versions of the Community Atmospheric Model (CAM, version 3.0) general circulation model (GCM). The first version is the standard CAM with parameterized convection.
David A. Randall +2 more
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Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 2010
Abstract The scientific understanding of atmospheric processes has been rooted in the mechanical and physical view of nature ever since dynamic meteorology gained ground in the late 19th century. Conceiving the atmosphere as a giant ‘air mass circulation engine’ entails applying hydro- and thermodynamical theory to the subject in order to describe ...
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Abstract The scientific understanding of atmospheric processes has been rooted in the mechanical and physical view of nature ever since dynamic meteorology gained ground in the late 19th century. Conceiving the atmosphere as a giant ‘air mass circulation engine’ entails applying hydro- and thermodynamical theory to the subject in order to describe ...
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Monthly Weather Review, 2015
Abstract This paper discusses the sparse space–time superparameterization (SSTSP) algorithm and evaluates its ability to represent interactions between moist convection and the large-scale circulation in the context of a Walker cell flow over a planetary scale two-dimensional domain. The SSTSP represents convective motions in each column
Joanna Slawinska +3 more
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Abstract This paper discusses the sparse space–time superparameterization (SSTSP) algorithm and evaluates its ability to represent interactions between moist convection and the large-scale circulation in the context of a Walker cell flow over a planetary scale two-dimensional domain. The SSTSP represents convective motions in each column
Joanna Slawinska +3 more
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