Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sheri Mickelson"'
Autor:
David Randall, James Hurrell, Andrew Gettelman, William Skamarock, Donald Dazlich, Thomas Hauser, Sheri Mickelson, Brian Medeiros, Lantao Sun
EarthWorks is a high-resolution, coupled, global storm-resolving Earth System Model which is aimed at both weather and climate applications. All components share the same geodesic grid. The target grid spacing is 3.75 km for all components, and the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f98114b3a846d6b20a0fc7fe27ab470
https://doi.org/10.5194/egusphere-egu23-16797
https://doi.org/10.5194/egusphere-egu23-16797
Autor:
Eric Nienhouse, Alice Bertini, Gary Strand, John M. Dennis, Kevin Paul, Mariana Vertenstein, Sheri Mickelson
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 5567-5581 (2020)
The complexity of each Coupled Model Intercomparison Project grows with every new generation. The Phase 5 effort saw a dramatic increase in the number of experiments that were performed and the number of variables that were requested compared to its
Autor:
Gary Strand, Sheri Mickelson, John M. Dennis, Mariana Vertenstein, Kevin Paul, Alice Bertini, Eric Nienhouse
The complexity of each Coupled Model Intercomparison Project grows with every new generation. The Phase 5 effort saw a large increase in the number of experiments that were performed and the number of variables that were requested compared to its pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8adf1cee4e1b5b6635ea8188c940d56e
https://doi.org/10.5194/gmd-2020-133
https://doi.org/10.5194/gmd-2020-133
Autor:
David A. Bailey, Peter H. Lauritzen, Clara Deser, L. van Kampenhout, Christopher Fischer, Louisa K. Emmons, Philip J. Rasch, William J. Sacks, J. K. Moore, Jean-Francois Lamarque, Marika M. Holland, B. Fox-Kemper, William H. Lipscomb, Gokhan Danabasoglu, Douglas E. Kinnison, Keith W. Oleson, Rolando R. Garcia, Warren G. Strand, Simone Tilmes, David M. Lawrence, Bette L. Otto-Bliesner, Julio T. Bacmeister, Lorenzo M. Polvani, Jennifer E. Kay, John M. Dennis, Mariana Vertenstein, Vincent E. Larson, Matthew C. Long, Richard Neale, Eric Nienhouse, Adam S. Phillips, Jim Edwards, Sheri Mickelson, Michael J. Mills, Andrew Gettelman, William G. Large, Alice Bertini, Keith Lindsay, Alice K. DuVivier, Paul J. Kushner, John T. Fasullo, Jan T. M. Lenaerts, Cecile Hannay
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 2, Pp n/a-n/a (2020)
Journal of Advances in Modeling Earth Systems, 12(2). Wiley Online Library
Journal of Advances in Modeling Earth Systems, 12(2). Wiley Online Library
An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial c
Autor:
Siddhartha S. Ghosh, Jean-Francois Lamarque, John T. Fasullo, Sheri Mickelson, Simone Tilmes, Isla R. Simpson, Jadwiga H. Richter, Joseph Tribbia, A. S. Glanville, Ben Kravitz, Jim Edwards, Adam S. Phillips, Michael J. Mills, Douglas G. MacMartin
Publikováno v:
Bulletin of the American Meteorological Society. 99:2361-2371
This paper describes the Stratospheric Aerosol Geoengineering Large Ensemble (GLENS) project, which promotes the use of a unique model dataset, performed with the Community Earth System Model, with the Whole Atmosphere Community Climate Model as its
Autor:
Joseph Tribbia, David L. Williamson, Brian E. Eaton, Doug Nychka, Michael Levy, Cecile Hannay, Jim Edwards, Dorit Hammerling, Haiying Xu, Sheri Mickelson, John M. Dennis, J. Shollenberger, Mariana Vertenstein, Allison H. Baker, Richard Neale
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 9, Pp 2829-2840 (2015)
Climate simulation codes, such as the Community Earth System Model (CESM), are especially complex and continually evolving. Their ongoing state of development requires frequent software verification in the form of quality assurance to both preserve t
Autor:
John M. Dennis, Christopher Kerr, Allison H. Baker, Brian Dobbins, Kevin Paul, Richard Mills, Sheri Mickelson, Youngsung Kim, Raghu Kumar
Publikováno v:
Exascale Scientific Applications ISBN: 9781315277400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c5ed5b907eeaa1893163a6a4348136f
https://doi.org/10.1201/b21930-10
https://doi.org/10.1201/b21930-10
Publikováno v:
The International Journal of High Performance Computing Applications. 29:154-165
The Los Alamos sea ice model, CICE, is a sophisticated finite difference grid point model. It has been a part of the National Science Foundation and Department of Energy community climate models (Community Climate System Model (CCSM) and Community Ea
Publikováno v:
IEEE BigData
We have developed a new parallel Python tool for the standardization of Earth System Model (ESM) data for publication as part of Model Intercomparison Projects (MIPs). It was specifically designed to aid Community Earth System Model (CESM) scientists
Autor:
Imme Ebert-Uphoff, Francesco De Simone, Jennifer E. Kay, Peter Lindstrom, Sheri Mickelson, Phillippe Naveau, John M. Dennis, Christian N. Gencarelli, Haiying Xu, Allison H. Baker, Francesco Carbone, Martin B. Stolpe, Ben Sanderson, Savini M. Samarasinghe, Dorit Hammerling
Publikováno v:
Geoscientific model development
9 (2016): 4381–4403. doi:10.5194/gmd-9-4381-2016
info:cnr-pdr/source/autori:Baker, Allison H.; Hammerling, Dorit M.; Mickelson, Sheri A.; Xu, Haiying; Stolpe, Martin B.; Naveau, Phillipe; Sanderson, Ben; Ebert-Uphoff, Imme; Samarasinghe, Savini; De Simone, Francesco; Carbone, Francesco; Gencarelli, Christian N.; Dennis, John M.; Kay, Jennifer E.; Lindstrom, Peter/titolo:Evaluating lossy data compression on climate simulation data within a large ensemble/doi:10.5194%2Fgmd-9-4381-2016/rivista:Geoscientific model development (Print)/anno:2016/pagina_da:4381/pagina_a:4403/intervallo_pagine:4381–4403/volume:9
Geoscientific Model Development, 9 (12)
Geoscientific Model Development
Geoscientific Model Development, 2016, 9 (12), pp.4381-4403. ⟨10.5194/gmd-9-4381-2016⟩
Geoscientific Model Development, European Geosciences Union, 2016, 9 (12), pp.4381-4403. ⟨10.5194/gmd-9-4381-2016⟩
Geoscientific Model Development, Vol 9, Iss 12, Pp 4381-4403 (2016)
9 (2016): 4381–4403. doi:10.5194/gmd-9-4381-2016
info:cnr-pdr/source/autori:Baker, Allison H.; Hammerling, Dorit M.; Mickelson, Sheri A.; Xu, Haiying; Stolpe, Martin B.; Naveau, Phillipe; Sanderson, Ben; Ebert-Uphoff, Imme; Samarasinghe, Savini; De Simone, Francesco; Carbone, Francesco; Gencarelli, Christian N.; Dennis, John M.; Kay, Jennifer E.; Lindstrom, Peter/titolo:Evaluating lossy data compression on climate simulation data within a large ensemble/doi:10.5194%2Fgmd-9-4381-2016/rivista:Geoscientific model development (Print)/anno:2016/pagina_da:4381/pagina_a:4403/intervallo_pagine:4381–4403/volume:9
Geoscientific Model Development, 9 (12)
Geoscientific Model Development
Geoscientific Model Development, 2016, 9 (12), pp.4381-4403. ⟨10.5194/gmd-9-4381-2016⟩
Geoscientific Model Development, European Geosciences Union, 2016, 9 (12), pp.4381-4403. ⟨10.5194/gmd-9-4381-2016⟩
Geoscientific Model Development, Vol 9, Iss 12, Pp 4381-4403 (2016)
High-resolution earth system model simulations generate enormous data volumes, and retaining the data from these simulations often strains institutional storage resources. Further, these exceedingly large storage requirements negatively impact scienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76de1a4bbfe0a3b671f499980d575f9