Implementing applications with the earth system modeling framework

Chris Hill; Cecelia DeLuca; V. Balaji; Max Suarez; Arlindo Da Silva; William Sawyer; Carlos Cruz; Atanas Trayanov; Leonid Zaslavsky; Robert Hallberg; Byron Boville; Anthony Craig; Nancy Collins; Erik Kluzek; John Michalakes; David Neckels; Earl Schwab; Shepard Smithline; Jon Wolfe; Mark Iredell; Weiyu Yang; Robert Jacob; Jay Larson

doi:10.1007/11558958_67

Implementing applications with the earth system modeling framework

Chris Hill
, Cecelia DeLuca
, V. Balaji
, Max Suarez
, Arlindo Da Silva
, William Sawyer
, Carlos Cruz
, Atanas Trayanov
, Leonid Zaslavsky
, Robert Hallberg
, Byron Boville
, Anthony Craig
, Nancy Collins
, Erik Kluzek
, John Michalakes
, David Neckels
, Earl Schwab
, Shepard Smithline
, Jon Wolfe
, Mark Iredell

Weiyu Yang, Robert Jacob, Jay Larson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.

Original language	English
Title of host publication	Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers
Pages	563-572
Number of pages	10
DOIs	https://doi.org/10.1007/11558958_67
State	Published - 2006
Event	7th International Conference on Applied Parallel Computing, PARA 2004 - Lyngby, Denmark Duration: Jun 20 2004 → Jun 23 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3732 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Applied Parallel Computing, PARA 2004
Country/Territory	Denmark
City	Lyngby
Period	06/20/04 → 06/23/04

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10.1007/11558958_67

Cite this

Hill, C., DeLuca, C., Balaji, V., Suarez, M., Da Silva, A., Sawyer, W., Cruz, C., Trayanov, A., Zaslavsky, L., Hallberg, R., Boville, B., Craig, A., Collins, N., Kluzek, E., Michalakes, J., Neckels, D., Schwab, E., Smithline, S., Wolfe, J., ... Larson, J. (2006). Implementing applications with the earth system modeling framework. In Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers (pp. 563-572). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3732 LNCS). https://doi.org/10.1007/11558958_67

Hill, Chris ; DeLuca, Cecelia ; Balaji, V. et al. / Implementing applications with the earth system modeling framework. Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers. 2006. pp. 563-572 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8f8c65b68c8f4605a0df2c4e91141ac7,

title = "Implementing applications with the earth system modeling framework",

abstract = "The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.",

author = "Chris Hill and Cecelia DeLuca and V. Balaji and Max Suarez and \{Da Silva\}, Arlindo and William Sawyer and Carlos Cruz and Atanas Trayanov and Leonid Zaslavsky and Robert Hallberg and Byron Boville and Anthony Craig and Nancy Collins and Erik Kluzek and John Michalakes and David Neckels and Earl Schwab and Shepard Smithline and Jon Wolfe and Mark Iredell and Weiyu Yang and Robert Jacob and Jay Larson",

year = "2006",

doi = "10.1007/11558958\_67",

language = "English",

isbn = "3540290672",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "563--572",

booktitle = "Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers",

note = "7th International Conference on Applied Parallel Computing, PARA 2004 ; Conference date: 20-06-2004 Through 23-06-2004",

}

Hill, C, DeLuca, C, Balaji, V, Suarez, M, Da Silva, A, Sawyer, W, Cruz, C, Trayanov, A, Zaslavsky, L, Hallberg, R, Boville, B, Craig, A, Collins, N, Kluzek, E, Michalakes, J, Neckels, D, Schwab, E, Smithline, S, Wolfe, J, Iredell, M, Yang, W, Jacob, R & Larson, J 2006, Implementing applications with the earth system modeling framework. in Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3732 LNCS, pp. 563-572, 7th International Conference on Applied Parallel Computing, PARA 2004, Lyngby, Denmark, 06/20/04. https://doi.org/10.1007/11558958_67

Implementing applications with the earth system modeling framework. / Hill, Chris; DeLuca, Cecelia; Balaji, V. et al.
Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers. 2006. p. 563-572 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3732 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Implementing applications with the earth system modeling framework

AU - Hill, Chris

AU - DeLuca, Cecelia

AU - Balaji, V.

AU - Suarez, Max

AU - Da Silva, Arlindo

AU - Sawyer, William

AU - Cruz, Carlos

AU - Trayanov, Atanas

AU - Zaslavsky, Leonid

AU - Hallberg, Robert

AU - Boville, Byron

AU - Craig, Anthony

AU - Collins, Nancy

AU - Kluzek, Erik

AU - Michalakes, John

AU - Neckels, David

AU - Schwab, Earl

AU - Smithline, Shepard

AU - Wolfe, Jon

AU - Iredell, Mark

AU - Yang, Weiyu

AU - Jacob, Robert

AU - Larson, Jay

PY - 2006

Y1 - 2006

N2 - The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.

AB - The Earth System Modeling Framework (ESMF) project is developing a standard software platform for Earth system models. The standard defines a component architecture superstructure and a support infrastructure. The superstructure allows earth scientists to develop complex software models with numerous components in a coordinated fashion. The infrastructure allows models to run efficiently on high performance computers. It offers capabilities that are commonly needed in Earth Science applications, for example, support for a broad range of discrete grids, regridding functions, and a distributed grid class which represents the data decomposition. We illustrate these features through a simplified finite-volume atmospheric model, and report the parallel performance of the underlying ESMF components.

UR - https://www.scopus.com/pages/publications/33745296496

U2 - 10.1007/11558958_67

DO - 10.1007/11558958_67

M3 - Conference contribution

AN - SCOPUS:33745296496

SN - 3540290672

SN - 9783540290674

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 563

EP - 572

BT - Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers

T2 - 7th International Conference on Applied Parallel Computing, PARA 2004

Y2 - 20 June 2004 through 23 June 2004

ER -

Hill C, DeLuca C, Balaji V, Suarez M, Da Silva A, Sawyer W et al. Implementing applications with the earth system modeling framework. In Applied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers. 2006. p. 563-572. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11558958_67

Implementing applications with the earth system modeling framework

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