{"id":"https://openalex.org/W2165941516","doi":"https://doi.org/10.1177/1094342015576773","title":"A Partitioned Global Address Space implementation of the European Centre for Medium Range Weather Forecasts Integrated Forecasting System","display_name":"A Partitioned Global Address Space implementation of the European Centre for Medium Range Weather Forecasts Integrated Forecasting System","publication_year":2015,"publication_date":"2015-03-22","ids":{"openalex":"https://openalex.org/W2165941516","doi":"https://doi.org/10.1177/1094342015576773","mag":"2165941516"},"language":"en","primary_location":{"id":"doi:10.1177/1094342015576773","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342015576773","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"},"type":"article","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":"https://openalex.org/A5024063385","display_name":"George Mozdzynski","orcid":null},"institutions":[{"id":"https://openalex.org/I154986956","display_name":"European Centre for Medium-Range Weather Forecasts","ror":"https://ror.org/014w0fd65","country_code":"GB","type":"other","lineage":["https://openalex.org/I154986956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George Mozdzynski","raw_affiliation_strings":["European Centre for Medium Range Weather Forecasts (ECMWF), UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Centre for Medium Range Weather Forecasts (ECMWF), UK","institution_ids":["https://openalex.org/I154986956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035483454","display_name":"Mats Hamrud","orcid":null},"institutions":[{"id":"https://openalex.org/I154986956","display_name":"European Centre for Medium-Range Weather Forecasts","ror":"https://ror.org/014w0fd65","country_code":"GB","type":"other","lineage":["https://openalex.org/I154986956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mats Hamrud","raw_affiliation_strings":["European Centre for Medium Range Weather Forecasts (ECMWF), UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Centre for Medium Range Weather Forecasts (ECMWF), UK","institution_ids":["https://openalex.org/I154986956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001390532","display_name":"Nils Wedi","orcid":"https://orcid.org/0000-0001-5324-2749"},"institutions":[{"id":"https://openalex.org/I154986956","display_name":"European Centre for Medium-Range Weather Forecasts","ror":"https://ror.org/014w0fd65","country_code":"GB","type":"other","lineage":["https://openalex.org/I154986956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nils Wedi","raw_affiliation_strings":["European Centre for Medium Range Weather Forecasts (ECMWF), UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Centre for Medium Range Weather Forecasts (ECMWF), UK","institution_ids":["https://openalex.org/I154986956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7102,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89282842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"3","first_page":"261","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9764999747276306,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9611999988555908,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7669205665588379},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7004467248916626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6772955656051636},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6005750298500061},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4611774682998657},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.44964656233787537},{"id":"https://openalex.org/keywords/global-forecast-system","display_name":"Global Forecast System","score":0.43616652488708496},{"id":"https://openalex.org/keywords/exascale-computing","display_name":"Exascale computing","score":0.43410515785217285},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4306083917617798},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42966049909591675},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.40194958448410034},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32870370149612427},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21501043438911438},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18751436471939087},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1413242220878601},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.10391005873680115}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7669205665588379},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7004467248916626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772955656051636},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.6005750298500061},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4611774682998657},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.44964656233787537},{"id":"https://openalex.org/C163109420","wikidata":"https://www.wikidata.org/wiki/Q287011","display_name":"Global Forecast System","level":3,"score":0.43616652488708496},{"id":"https://openalex.org/C2778837361","wikidata":"https://www.wikidata.org/wiki/Q2450880","display_name":"Exascale computing","level":3,"score":0.43410515785217285},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4306083917617798},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42966049909591675},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.40194958448410034},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32870370149612427},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21501043438911438},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18751436471939087},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1413242220878601},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.10391005873680115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1094342015576773","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342015576773","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W185797722","https://openalex.org/W1983296355","https://openalex.org/W1996852061","https://openalex.org/W2001618530","https://openalex.org/W2112793938","https://openalex.org/W2115770043","https://openalex.org/W2122747952","https://openalex.org/W2142677441","https://openalex.org/W2315428829","https://openalex.org/W2319783597","https://openalex.org/W2569750427","https://openalex.org/W4233363368"],"related_works":["https://openalex.org/W2548035599","https://openalex.org/W4383218913","https://openalex.org/W2321020009","https://openalex.org/W150462200","https://openalex.org/W3110237217","https://openalex.org/W2921756899","https://openalex.org/W2901316757","https://openalex.org/W3155716677","https://openalex.org/W2383990192","https://openalex.org/W18551873"],"abstract_inverted_index":{"Today":[0],"the":[1,28,34,67,79,92,96,115,144,154,168,183,192,198,219,226,242,247],"European":[2],"Centre":[3],"for":[4],"Medium":[5],"Range":[6],"Weather":[7],"Forecasts":[8],"(ECMWF)":[9],"runs":[10],"a":[11,41,87,99,111,124,128,163,253],"16":[12],"km":[13,43,101],"global":[14,44,102],"T1279":[15],"operational":[16],"weather":[17],"forecast":[18,45],"model":[19,46,103,221],"using":[20],"1536":[21],"cores":[22,82,108,126],"of":[23,81,109,146,170,176,185,200,205,241,256],"an":[24,50,235],"IBM":[25],"Power7.":[26],"Following":[27],"historical":[29],"evolution":[30],"in":[31,149,162,191],"resolution":[32],"upgrades,":[33],"ECMWF":[35,93,141],"could":[36],"expect":[37],"to":[38,72,122,137,181,196,224,230],"be":[39,55,138],"running":[40,98],"2.5":[42],"by":[47,60],"2030":[48,231],"on":[49,75,105,234],"exascale":[51],"system":[52],"that":[53,157,210],"should":[54],"available":[56],"and":[57,131,187,189,213,232],"hopefully":[58],"affordable":[59],"then.":[61],"To":[62],"achieve":[63],"this":[64,90,206],"would":[65],"require":[66],"Integrated":[68],"Forecasting":[69],"System":[70],"(IFS)":[71],"run":[73],"efficiently":[74,104],"about":[76],"1000":[77],"times":[78],"number":[80],"it":[83,151],"uses":[84],"today.":[85],"In":[86],"step":[88],"towards":[89],"goal,":[91],"have":[94,135,159],"demonstrated":[95],"IFS":[97,220,248],"10":[100],"over":[106,123],"40,000":[107],"HECToR":[110],"Cray":[112],"XE6":[113],"at":[114],"Edinburgh":[116],"Parallel":[117],"Computing":[118],"Centre.":[119],"However,":[120],"getting":[121],"million":[125],"remains":[127],"formidable":[129],"challenge,":[130],"many":[132],"scalability":[133,244],"improvements":[134],"yet":[136],"implemented.":[139],"The":[140,174,203,238],"is":[142,152,179,208],"exploring":[143],"use":[145,225],"Fortran2008":[147],"coarrays;":[148],"particular,":[150],"possibly":[153],"first":[155],"time":[156],"coarrays":[158],"been":[160],"used":[161],"world-leading":[164],"production":[165],"application":[166],"within":[167,246],"context":[169],"OpenMP":[171],"parallel":[172],"regions.":[173],"purpose":[175],"these":[177,212],"optimisations":[178],"primarily":[180],"allow":[182],"overlap":[184],"computation":[186],"communication,":[188],"further,":[190],"semi-Lagrangian":[193],"advection":[194],"scheme,":[195],"reduce":[197],"volume":[199],"data":[201],"communicated.":[202],"importance":[204],"research":[207],"such":[209],"if":[211],"other":[214],"planned":[215],"developments":[216,245],"are":[217,249],"successful,":[218],"may":[222],"continue":[223],"spectral":[227],"transform":[228],"method":[229],"beyond":[233],"exascale-sized":[236],"system.":[237],"current":[239],"status":[240],"coarray":[243],"described":[250],"together":[251],"with":[252],"brief":[254],"outline":[255],"future":[257],"developments.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
