{"id":"https://openalex.org/W2212816755","doi":"https://doi.org/10.1109/bigdata.2015.7363979","title":"Light-weight parallel Python tools for earth system modeling workflows","display_name":"Light-weight parallel Python tools for earth system modeling workflows","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2212816755","doi":"https://doi.org/10.1109/bigdata.2015.7363979","mag":"2212816755"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kevin Paul","orcid":null},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Paul","raw_affiliation_strings":["National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305","institution_ids":["https://openalex.org/I107766831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048152909","display_name":"Sheri Mickelson","orcid":"https://orcid.org/0000-0001-6101-1975"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheri Mickelson","raw_affiliation_strings":["National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305","institution_ids":["https://openalex.org/I107766831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053602586","display_name":"John M. Dennis","orcid":"https://orcid.org/0000-0002-2119-8242"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John M. Dennis","raw_affiliation_strings":["National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305","institution_ids":["https://openalex.org/I107766831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035799778","display_name":"Haiying Xu","orcid":"https://orcid.org/0000-0001-8312-7346"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haiying Xu","raw_affiliation_strings":["National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305","institution_ids":["https://openalex.org/I107766831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002403913","display_name":"David Brown","orcid":"https://orcid.org/0000-0003-0758-6641"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Brown","raw_affiliation_strings":["National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, Colorado 80305","institution_ids":["https://openalex.org/I107766831"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107766831"],"apc_list":null,"apc_paid":null,"fwci":1.2346,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81685076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"1985","last_page":"1994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.926335334777832},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7329636216163635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724612832069397},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6868481636047363},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5389270782470703},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49164992570877075},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45693910121917725},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.414596289396286},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40125012397766113},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3844297528266907},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.35815924406051636},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.23566213250160217},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22615280747413635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1961733102798462},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1893768310546875}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.926335334777832},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7329636216163635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724612832069397},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6868481636047363},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5389270782470703},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49164992570877075},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45693910121917725},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.414596289396286},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40125012397766113},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3844297528266907},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.35815924406051636},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.23566213250160217},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22615280747413635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1961733102798462},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1893768310546875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1985228687","https://openalex.org/W1992579369","https://openalex.org/W1995343013","https://openalex.org/W2001032894","https://openalex.org/W2059919683","https://openalex.org/W2069499624","https://openalex.org/W2146292423","https://openalex.org/W2148497060","https://openalex.org/W2156077349","https://openalex.org/W2166947249","https://openalex.org/W2903757504","https://openalex.org/W4205383247","https://openalex.org/W4213327538","https://openalex.org/W6757147131"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W1987128138","https://openalex.org/W1486009489"],"abstract_inverted_index":{"In":[0],"the":[1,20,66,79,92,96,100,132],"last":[2],"30":[3],"years,":[4],"earth":[5],"system":[6],"modeling":[7],"has":[8,71],"become":[9],"increasingly":[10],"data-intensive.":[11],"The":[12],"Community":[13],"Earth":[14],"System":[15],"Model":[16],"(CESM)":[17],"response":[18],"to":[19,34,44,95,112,118,123],"next":[21],"Intergovernmental":[22],"Panel":[23],"on":[24],"Climate":[25],"Change":[26],"(IPCC)":[27],"assessment":[28],"report":[29],"(AR6)":[30],"may":[31],"require":[32],"close":[33],"1":[35],"Billion":[36],"CPU":[37],"hours":[38],"of":[39,47,75,78,127,137],"computation":[40],"and":[41,57,99,121,135,141,147],"generate":[42],"up":[43],"12":[45],"PB":[46],"raw":[48],"data":[49],"for":[50,144],"post-processing.":[51],"Existing":[52],"post-processing":[53,67],"tools":[54],"are":[55],"serial-only":[56],"impossibly":[58],"slow":[59],"with":[60,82,91],"this":[61],"much":[62],"data.":[63,129],"To":[64],"improve":[65],"performance,":[68],"our":[69,142],"team":[70],"adopted":[72],"a":[73],"strategy":[74],"targeted":[76],"replacement":[77],"\"bottleneck":[80],"software\"":[81],"light-weight":[83,107],"parallel":[84,108],"Python":[85,109],"alternatives.":[86],"This":[87],"allows":[88],"maximum":[89],"impact":[90],"least":[93],"disruption":[94],"CESM":[97],"community":[98],"shortest":[101],"delivery":[102],"time.":[103],"We":[104,130],"developed":[105],"two":[106,139],"tools:":[110],"one":[111,122],"convert":[113],"model":[114],"output":[115],"from":[116],"time-slice":[117],"time-series":[119,128],"format,":[120],"perform":[124],"fast":[125],"time-averaging":[126],"present":[131],"motivation,":[133],"approach,":[134],"results":[136],"these":[138],"tools,":[140],"plans":[143],"future":[145],"research":[146],"development.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
