Data Management and Analysis for the Earth System Grid. Williams, D N, Ananthakrishnan, R, Bernholdt, D E, Bharathi, S, Brown, D, Chen, M, Chervenak, A L, Cinquini, L, Drach, R, Foster, I T, Fox, P, Hankin, S, Henson, V E, Jones, P, Middleton, D E, Schwidder, J, Schweitzer, R, Schuler, R, Shoshani, A, Siebenlist, F, Sim, A, Strand, W G, Wilhelmi, N, & Su, M Journal of Physics: Conference Series, 125(1):012072, 2008. abstract bibtex The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. In order to address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.
@article{Williams2008a,
abstract = {The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. In order to address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.},
author = {Williams, D N and Ananthakrishnan, R and Bernholdt, D E and Bharathi, S and Brown, D and Chen, M and Chervenak, A L and Cinquini, L and Drach, R and Foster, I T and Fox, P and Hankin, S and Henson, V E and Jones, P and Middleton, D E and Schwidder, J and Schweitzer, R and Schuler, R and Shoshani, A and Siebenlist, F and Sim, A and Strand, W G and Wilhelmi, N and Su, M},
date-added = {2018-09-12 16:06:55 -0700},
date-modified = {2020-01-21 15:51:59 -0800},
journal = {Journal of Physics: Conference Series},
number = {1},
pages = {012072},
title = {Data Management and Analysis for the {{Earth System Grid}}},
volume = {125},
year = {2008}}
Downloads: 0
{"_id":"WchTcLWdajesEwgwA","bibbaseid":"williams-ananthakrishnan-bernholdt-bharathi-brown-chen-chervenak-cinquini-etal-datamanagementandanalysisfortheearthsystemgrid-2008","author_short":["Williams, D N","Ananthakrishnan, R","Bernholdt, D E","Bharathi, S","Brown, D","Chen, M","Chervenak, A L","Cinquini, L","Drach, R","Foster, I T","Fox, P","Hankin, S","Henson, V E","Jones, P","Middleton, D E","Schwidder, J","Schweitzer, R","Schuler, R","Shoshani, A","Siebenlist, F","Sim, A","Strand, W G","Wilhelmi, N","Su, M"],"bibdata":{"bibtype":"article","type":"article","abstract":"The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. In order to address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.","author":[{"propositions":[],"lastnames":["Williams"],"firstnames":["D","N"],"suffixes":[]},{"propositions":[],"lastnames":["Ananthakrishnan"],"firstnames":["R"],"suffixes":[]},{"propositions":[],"lastnames":["Bernholdt"],"firstnames":["D","E"],"suffixes":[]},{"propositions":[],"lastnames":["Bharathi"],"firstnames":["S"],"suffixes":[]},{"propositions":[],"lastnames":["Brown"],"firstnames":["D"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["M"],"suffixes":[]},{"propositions":[],"lastnames":["Chervenak"],"firstnames":["A","L"],"suffixes":[]},{"propositions":[],"lastnames":["Cinquini"],"firstnames":["L"],"suffixes":[]},{"propositions":[],"lastnames":["Drach"],"firstnames":["R"],"suffixes":[]},{"propositions":[],"lastnames":["Foster"],"firstnames":["I","T"],"suffixes":[]},{"propositions":[],"lastnames":["Fox"],"firstnames":["P"],"suffixes":[]},{"propositions":[],"lastnames":["Hankin"],"firstnames":["S"],"suffixes":[]},{"propositions":[],"lastnames":["Henson"],"firstnames":["V","E"],"suffixes":[]},{"propositions":[],"lastnames":["Jones"],"firstnames":["P"],"suffixes":[]},{"propositions":[],"lastnames":["Middleton"],"firstnames":["D","E"],"suffixes":[]},{"propositions":[],"lastnames":["Schwidder"],"firstnames":["J"],"suffixes":[]},{"propositions":[],"lastnames":["Schweitzer"],"firstnames":["R"],"suffixes":[]},{"propositions":[],"lastnames":["Schuler"],"firstnames":["R"],"suffixes":[]},{"propositions":[],"lastnames":["Shoshani"],"firstnames":["A"],"suffixes":[]},{"propositions":[],"lastnames":["Siebenlist"],"firstnames":["F"],"suffixes":[]},{"propositions":[],"lastnames":["Sim"],"firstnames":["A"],"suffixes":[]},{"propositions":[],"lastnames":["Strand"],"firstnames":["W","G"],"suffixes":[]},{"propositions":[],"lastnames":["Wilhelmi"],"firstnames":["N"],"suffixes":[]},{"propositions":[],"lastnames":["Su"],"firstnames":["M"],"suffixes":[]}],"date-added":"2018-09-12 16:06:55 -0700","date-modified":"2020-01-21 15:51:59 -0800","journal":"Journal of Physics: Conference Series","number":"1","pages":"012072","title":"Data Management and Analysis for the Earth System Grid","volume":"125","year":"2008","bibtex":"@article{Williams2008a,\n\tabstract = {The international climate community is expected to generate hundreds of petabytes of simulation data within the next five to seven years. This data must be accessed and analyzed by thousands of analysts worldwide in order to provide accurate and timely estimates of the likely impact of climate change on physical, biological, and human systems. Climate change is thus not only a scientific challenge of the first order but also a major technological challenge. In order to address this technological challenge, the Earth System Grid Center for Enabling Technologies (ESG-CET) has been established within the U.S. Department of Energy's Scientific Discovery through Advanced Computing (SciDAC)-2 program, with support from the offices of Advanced Scientific Computing Research and Biological and Environmental Research. ESG-CET's mission is to provide climate researchers worldwide with access to the data, information, models, analysis tools, and computational capabilities required to make sense of enormous climate simulation datasets. Its specific goals are to (1) make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) meet specific distributed database, data access, and data movement needs of national and international climate projects; (3) provide a universal and secure web-based data access portal for broad multi-model data collections; and (4) provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Building on the successes of the previous Earth System Grid (ESG) project, which has enabled thousands of researchers to access tens of terabytes of data from a small number of ESG sites, ESG-CET is working to integrate a far larger number of distributed data providers, high-bandwidth wide-area networks, and remote computers in a highly collaborative problem-solving environment.},\n\tauthor = {Williams, D N and Ananthakrishnan, R and Bernholdt, D E and Bharathi, S and Brown, D and Chen, M and Chervenak, A L and Cinquini, L and Drach, R and Foster, I T and Fox, P and Hankin, S and Henson, V E and Jones, P and Middleton, D E and Schwidder, J and Schweitzer, R and Schuler, R and Shoshani, A and Siebenlist, F and Sim, A and Strand, W G and Wilhelmi, N and Su, M},\n\tdate-added = {2018-09-12 16:06:55 -0700},\n\tdate-modified = {2020-01-21 15:51:59 -0800},\n\tjournal = {Journal of Physics: Conference Series},\n\tnumber = {1},\n\tpages = {012072},\n\ttitle = {Data Management and Analysis for the {{Earth System Grid}}},\n\tvolume = {125},\n\tyear = {2008}}\n\n","author_short":["Williams, D N","Ananthakrishnan, R","Bernholdt, D E","Bharathi, S","Brown, D","Chen, M","Chervenak, A L","Cinquini, L","Drach, R","Foster, I T","Fox, P","Hankin, S","Henson, V E","Jones, P","Middleton, D E","Schwidder, J","Schweitzer, R","Schuler, R","Shoshani, A","Siebenlist, F","Sim, A","Strand, W G","Wilhelmi, N","Su, M"],"bibbaseid":"williams-ananthakrishnan-bernholdt-bharathi-brown-chen-chervenak-cinquini-etal-datamanagementandanalysisfortheearthsystemgrid-2008","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/YxxSWE3BBc6kJ6Wog/schuler-2023.bib","dataSources":["x5vhyK5kTeSDShQwG","Kn5GhfPu5QWi3iwAJ","pEcDMRzQHHpguguDx","t9PsrY7b2G5FHxCkP"],"keywords":[],"search_terms":["data","management","analysis","earth","system","grid","williams","ananthakrishnan","bernholdt","bharathi","brown","chen","chervenak","cinquini","drach","foster","fox","hankin","henson","jones","middleton","schwidder","schweitzer","schuler","shoshani","siebenlist","sim","strand","wilhelmi","su"],"title":"Data Management and Analysis for the Earth System Grid","year":2008}