Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kara Sulia"'
Autor:
Christopher D. Wirz, Carly Sutter, Julie L. Demuth, Kirsten J. Mayer, William E. Chapman, Mariana Goodall Cains, Jacob Radford, Vanessa Przybylo, Aaron Evans, Thomas Martin, Lauriana C. Gaudet, Kara Sulia, Ann Bostrom, David John Gagne II, Nick Bassill, Andrea Schumacher, Christopher Thorncroft
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge is compounded in supervised models that depend on manually labeled training data, as they i
Externí odkaz:
https://doaj.org/article/e829cabd53eb47d19b26de2fe0d6faa8
Publikováno v:
Journal of the Atmospheric Sciences. 71:4158-4180
A bulk microphysics scheme predicting ice particle habit evolution has been implemented in the Weather Research and Forecasting Model. Large-eddy simulations are analyzed to study the effects of ice habit and number concentration on the bulk ice and
Autor:
Jerry Y. Harrington, Amy Solomon, Corinna Hoose, M. Paukert, Alexander Avramov, Kara Sulia, Ben Shipway, Matthew D. Shupe, Alexei Korolev, Hugh Morrison, Greg M. McFarquhar, Andrew S. Ackerman, Ann M. Fridlind, Mikhail Ovchinnikov, Julien Savre, Steven J. Ghan, Anning Cheng, Jiwen Fan
Publikováno v:
Journal of Advances in Modeling Earth Systems. 6:223-248
Large-eddy simulations of mixed-phase Arctic clouds by 11 different models are analyzed with the goal of improving understanding and model representation of processes controlling the evolution of these clouds. In a case based on observations from the
Publikováno v:
Journal of the Atmospheric Sciences. 70:3302-3320
Arctic mixed-phase clouds are ubiquitous, and the persistence of supercooled liquid is not well understood. Prior studies of mixed-phase clouds predict a single axis length assuming spherical particles or mass–dimensional relationships derived from
Publikováno v:
Journal of the Atmospheric Sciences. 70:365-376
It is common for cloud microphysical models to use a single axis length to characterize ice crystals. These methods use either the diameter of an equivalent sphere or mass–size equations in conjunction with the capacitance model to close the equati
A Method for Adaptive Habit Prediction in Bulk Microphysical Models. Part I: Theoretical Development
Publikováno v:
Journal of the Atmospheric Sciences. 70:349-364
Bulk microphysical schemes use the capacitance model for ice vapor growth in combination with mass–size relationships to determine the evolution of ice water content (IWC) and ice particle maximum dimension in time. These approaches are limited sin
Autor:
Jerry Y. Harrington, Gijs de Boer, Matthew D. Shupe, Kara Sulia, Hugh Morrison, Graham Feingold
Publikováno v:
Nature Geoscience. 5:11-17
Mixed-phase clouds, comprising both ice and supercooled liquid water, have a large impact on radiative fluxes in the Arctic. Interactions between numerous local feedbacks sustain these complex cloud systems, leading to the development of a resilient
Publikováno v:
Journal of the Atmospheric Sciences. 66:3732-3743
The relationship among aspect ratio, initial size, and the evolution of the size spectrum is explored for ice crystals growing by vapor deposition. Ice crystal evolution is modeled based on the growth of spheroids, and the ice size spectrum is predic
Autor:
Kara Sulia, Jerry Y. Harrington
Publikováno v:
Journal of Geophysical Research: Atmospheres. 116
[1] The influences of evolving ice habit on the maintenance and glaciation of stratiform mixed-phase clouds are examined theoretically. Unlike most current modeling methods where a single axis length is predicted, the primary habits, or two axis leng
Publikováno v:
Journal of Geophysical Research. 116
[1] The fundamental physical processes that maintain supercooled liquid in observed Arctic mixed-phase clouds are poorly constrained. To isolate the factors that control ice/liquid partitioning during the ascent of an air parcel, we apply an adiabati