Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Michael Tobis"'
Publikováno v:
Computing in Science & Engineering. 17:8-10
The articles in this issue provide some examples of how a more considered focus on the software development process can feed the development of science. Two different approaches to reproducible software practices, an approach on maintaining documenta
Publikováno v:
ICCS
We explore the use of block entropy as a dynamics classifier for meteorological timeseries data. The block entropy estimates define the entropy growth curve H(L) with respect to block length L. For a finitary process, the entropy growth curve tends t
Publikováno v:
International Journal for Multiscale Computational Engineering. 6:39-51
Multiphysics and multiscale simulation systems share a common software requirement-infrastructure to implement data exchanges between their constituent parts-often called the coupling problem. On distributed-memory parallel platforms, the coupling pr
Autor:
Robert Jacob, Arne M.E. Winguth, Michael Tobis, Gidon Eshel, David Archer, Raymond T. Pierrehumbert, Wallace S. Broecker
Publikováno v:
Global Biogeochemical Cycles. 14:1219-1230
In models of the global carbon cycle, the pCO2of the atmosphere is more sensitive to the chemistry of the high-latitude surface ocean than the tropical ocean. Because sea-surface nutrient concentrations are generally high in the high latitudes,pCO2se
Autor:
Michael Tobis, Steve Price, Katrin Heitmann, David Higdon, Charles S. Jackson, Salman Habib, James R. Gattiker, Earl Lawrence, Matthew T. Pratola
The ensemble Kalman filter (EnKF) (Evensen, 2009) has proven effective in quantifying uncertainty in a number of challenging dynamic, state estimation, or data assimilation, problems such as weather forecasting and ocean modeling. In these problems a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba316fff7e4fbb6d51faecd4be992dc6
Publikováno v:
Computational Science – ICCS 2007 ISBN: 9783540725831
International Conference on Computational Science (1)
International Conference on Computational Science (1)
Multiphysics and multiscale simulation systems are emerging as a new grand challenge in computational science, largely because of increased computing power provided by the distributed-memory parallel programming model on commodity clusters. These sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ac38373b7f9a53458bb29d929b4ec2
https://doi.org/10.1007/978-3-540-72584-8_122
https://doi.org/10.1007/978-3-540-72584-8_122
Autor:
Michael Tobis
Publisher Summary The chapter discusses objectives of a python numerical solver (PyNSol). PyNSol is a framework architecture for the incremental development of a high-productivity environment for developing high-performance codes. Its target domain i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cbbb7952d6b916d5ff480a98a584340
https://doi.org/10.1016/b978-044452206-1/50020-3
https://doi.org/10.1016/b978-044452206-1/50020-3
Publikováno v:
Computational Science — ICCS 2001 ISBN: 9783540422327
International Conference on Computational Science (1)
International Conference on Computational Science (1)
The Fast Ocean Atmosphere Model (FOAM) is a climate system model intended for application to climate science questions that require long simulations. FOAM is a distributed-memory parallel climate model consisting of parallel general circulation model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3052a886fc4e78e30e40d4656fce14da
https://doi.org/10.1007/3-540-45545-0_26
https://doi.org/10.1007/3-540-45545-0_26
Publikováno v:
SC
We report here on a project that expands the applicability of dynamic climate modeling to very long time scales. The Fast Ocean Atmosphere Model (FOAM) is a coupled ocean- atmosphere model that incorporates physics of interest in understanding decade
Autor:
Everest Ong, Michael Steder, Jay Larson, Robert Jacob, Raymond T. Pierrehumbert, Michael Tobis
Publikováno v:
ANZIAM Journal. 48:1112
Coupled climate models are multiphysics models comprising multiple separately developed codes that are combined into a single physical system. This composition of codes is amenable to a scripting solution, and Python is a language that offers many de