{"id":"https://openalex.org/W1587893317","doi":"https://doi.org/10.1109/hpcsim.2015.7237097","title":"On the problem-decomposition of scalable 4D-Var Data Assimilation models","display_name":"On the problem-decomposition of scalable 4D-Var Data Assimilation models","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1587893317","doi":"https://doi.org/10.1109/hpcsim.2015.7237097","mag":"1587893317"},"language":"en","primary_location":{"id":"doi:10.1109/hpcsim.2015.7237097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2015.7237097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-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/A5085852399","display_name":"Rossella Arcucci","orcid":"https://orcid.org/0000-0002-9471-0585"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["GB","IT"],"is_corresponding":true,"raw_author_name":"R. Arcucci","raw_affiliation_strings":["University of Naples Federico II, Naples (IT) Imperial College London, London, UK","University of Naples Federico II, IT"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Naples (IT) Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"University of Naples Federico II, IT","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070951649","display_name":"Luisa D\u2019Amore","orcid":"https://orcid.org/0000-0002-3379-0569"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"L. D'Amore","raw_affiliation_strings":["University of Naples Federico II, Naples (IT) Imperial College London, London, UK","University of Naples Federico II, IT"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II, Naples (IT) Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"University of Naples Federico II, IT","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074728208","display_name":"Luisa Carracciuolo","orcid":"https://orcid.org/0000-0002-8521-1645"},"institutions":[{"id":"https://openalex.org/I197604219","display_name":"National Academies of Sciences, Engineering, and Medicine","ror":"https://ror.org/02eq2w707","country_code":"US","type":"government","lineage":["https://openalex.org/I197604219"]},{"id":"https://openalex.org/I4210134243","display_name":"National Research Council","ror":"https://ror.org/03bjn0010","country_code":"LK","type":"government","lineage":["https://openalex.org/I4210134243"]}],"countries":["LK","US"],"is_corresponding":false,"raw_author_name":"L. Carracciuolo","raw_affiliation_strings":["National Research Council Naples (IT)","National Research Council, Naples, (IT)"],"affiliations":[{"raw_affiliation_string":"National Research Council Naples (IT)","institution_ids":["https://openalex.org/I4210134243"]},{"raw_affiliation_string":"National Research Council, Naples, (IT)","institution_ids":["https://openalex.org/I197604219"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085852399"],"corresponding_institution_ids":["https://openalex.org/I47508984","https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":2.4439,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87374488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9998999834060669,"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":0.9998999834060669,"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7276174426078796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475116014480591},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6317039132118225},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.6191436648368835},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5391882061958313},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5199264883995056},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49484533071517944},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.453029066324234},{"id":"https://openalex.org/keywords/domain-decomposition-methods","display_name":"Domain decomposition methods","score":0.44952714443206787},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4443175196647644},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4367714822292328},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"Decomposition method (queueing theory)","score":0.4137096107006073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36020326614379883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27770018577575684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20113492012023926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09215930104255676}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7276174426078796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475116014480591},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6317039132118225},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.6191436648368835},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5391882061958313},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5199264883995056},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49484533071517944},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.453029066324234},{"id":"https://openalex.org/C198880260","wikidata":"https://www.wikidata.org/wiki/Q5289813","display_name":"Domain decomposition methods","level":3,"score":0.44952714443206787},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4443175196647644},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4367714822292328},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.4137096107006073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36020326614379883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27770018577575684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20113492012023926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09215930104255676},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcsim.2015.7237097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2015.7237097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1596195796","https://openalex.org/W2005126631","https://openalex.org/W2065439410","https://openalex.org/W2082036067","https://openalex.org/W2093262471","https://openalex.org/W2097790278","https://openalex.org/W2148905061","https://openalex.org/W2281165175","https://openalex.org/W2335131637","https://openalex.org/W6635559626","https://openalex.org/W6695240186"],"related_works":["https://openalex.org/W2018702098","https://openalex.org/W3150927006","https://openalex.org/W768539834","https://openalex.org/W2009858568","https://openalex.org/W2023937487","https://openalex.org/W3144246503","https://openalex.org/W2778061477","https://openalex.org/W2072734046","https://openalex.org/W2073213616","https://openalex.org/W2466456220"],"abstract_inverted_index":{"We":[0,47,70,86],"present":[1],"an":[2],"innovative":[3],"approach":[4,16,92],"for":[5],"solving":[6],"Four":[7],"Dimensional":[8],"Variational":[9],"Data":[10],"Assimilation":[11],"(4D-VAR":[12],"DA)":[13],"problems.":[14],"The":[15],"we":[17,56],"consider":[18],"starts":[19],"from":[20],"a":[21,29,35,49,58,94],"decomposition":[22],"of":[23,31,52,63,67,82,90],"the":[24,32,40,45,53,72,77,88,91],"physical":[25],"domain;":[26],"it":[27],"uses":[28],"partitioning":[30],"solution":[33],"and":[34,55,66],"modified":[36],"regularization":[37],"functional":[38],"describing":[39],"4D-VAR":[41],"DA":[42],"problem":[43],"on":[44,93],"decomposition.":[46],"provide":[48],"mathematical":[50],"formulation":[51],"model":[54],"perform":[57],"feasibility":[59],"analysis":[60],"in":[61,80],"terms":[62,81],"computational":[64],"cost":[65],"algorithmic":[68],"scalability.":[69],"use":[71],"scale-up":[73],"factor":[74],"which":[75],"measure":[76],"performance":[78],"gain":[79],"time":[83],"complexity":[84],"reduction.":[85],"verify":[87],"reliability":[89],"consistent":[95],"test":[96],"case":[97],"(the":[98],"Shallow":[99],"Water":[100],"Equations).":[101]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}