{"id":"https://openalex.org/W2751585279","doi":"https://doi.org/10.3390/rs9090932","title":"Hindcasting and Forecasting of Surface Flow Fields through Assimilating High Frequency Remotely Sensing Radar Data","display_name":"Hindcasting and Forecasting of Surface Flow Fields through Assimilating High Frequency Remotely Sensing Radar Data","publication_year":2017,"publication_date":"2017-09-08","ids":{"openalex":"https://openalex.org/W2751585279","doi":"https://doi.org/10.3390/rs9090932","mag":"2751585279"},"language":"en","primary_location":{"id":"doi:10.3390/rs9090932","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9090932","pdf_url":"https://www.mdpi.com/2072-4292/9/9/932/pdf?version=1505120975","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/9/9/932/pdf?version=1505120975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014237774","display_name":"Lei Ren","orcid":"https://orcid.org/0000-0002-9662-8630"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Lei Ren","raw_affiliation_strings":["Department of Civil Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland","Ryan Institute, H91 TK33 Galway, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-9662-8630","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]},{"raw_affiliation_string":"Ryan Institute, H91 TK33 Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037774474","display_name":"Michael Hartnett","orcid":"https://orcid.org/0000-0002-7855-1983"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Michael Hartnett","raw_affiliation_strings":["Department of Civil Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland","Ryan Institute, H91 TK33 Galway, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, National University of Ireland Galway, H91 TK33 Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]},{"raw_affiliation_string":"Ryan Institute, H91 TK33 Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014237774"],"corresponding_institution_ids":["https://openalex.org/I188760350"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.277,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.54936081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"9","first_page":"932","last_page":"932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9995999932289124,"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":0.9995999932289124,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/data-assimilation","display_name":"Data assimilation","score":0.8933759927749634},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6363635063171387},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5847607851028442},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5271285176277161},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.515072762966156},{"id":"https://openalex.org/keywords/assimilation","display_name":"Assimilation (phonology)","score":0.5029897093772888},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4413047730922699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3861181139945984},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3351929485797882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2027972936630249},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18151554465293884},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17876538634300232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09227260947227478}],"concepts":[{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.8933759927749634},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6363635063171387},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5847607851028442},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5271285176277161},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.515072762966156},{"id":"https://openalex.org/C75649859","wikidata":"https://www.wikidata.org/wiki/Q148877","display_name":"Assimilation (phonology)","level":2,"score":0.5029897093772888},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4413047730922699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3861181139945984},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3351929485797882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2027972936630249},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18151554465293884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17876538634300232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09227260947227478},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs9090932","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9090932","pdf_url":"https://www.mdpi.com/2072-4292/9/9/932/pdf?version=1505120975","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:http://www.rian.ie/159865/","is_oa":false,"landing_page_url":"http://hdl.handle.net/10379/13630","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},{"id":"pmh:oai:doaj.org/article:61a572a152894f6592201afb8420c8ad","is_oa":true,"landing_page_url":"https://doaj.org/article/61a572a152894f6592201afb8420c8ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 9, Iss 9, p 932 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/9/9/932/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs9090932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 9; Issue 9; Pages: 932","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs9090932","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9090932","pdf_url":"https://www.mdpi.com/2072-4292/9/9/932/pdf?version=1505120975","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320330055","display_name":"Irish Centre for High-End Computing","ror":"https://ror.org/04te6a418"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2751585279.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1149942464","https://openalex.org/W1541251807","https://openalex.org/W1972837497","https://openalex.org/W1975203671","https://openalex.org/W1976432553","https://openalex.org/W1979624816","https://openalex.org/W1984514453","https://openalex.org/W1988339260","https://openalex.org/W1997510105","https://openalex.org/W2000421466","https://openalex.org/W2009104157","https://openalex.org/W2017736471","https://openalex.org/W2025982599","https://openalex.org/W2027433195","https://openalex.org/W2030888002","https://openalex.org/W2035712829","https://openalex.org/W2037626930","https://openalex.org/W2073915604","https://openalex.org/W2097790278","https://openalex.org/W2107608682","https://openalex.org/W2115572161","https://openalex.org/W2115591590","https://openalex.org/W2116668246","https://openalex.org/W2116814884","https://openalex.org/W2119960660","https://openalex.org/W2120349205","https://openalex.org/W2141323005","https://openalex.org/W2145039860","https://openalex.org/W2146081334","https://openalex.org/W2150977494","https://openalex.org/W2155443879","https://openalex.org/W2159456033","https://openalex.org/W2164361437","https://openalex.org/W2173246082","https://openalex.org/W2174065730","https://openalex.org/W2179461994","https://openalex.org/W2266056627","https://openalex.org/W2284408173","https://openalex.org/W2288141369","https://openalex.org/W2319519125","https://openalex.org/W2513572844","https://openalex.org/W2593633435","https://openalex.org/W2597202463","https://openalex.org/W2997121607","https://openalex.org/W3002228026","https://openalex.org/W3099395858","https://openalex.org/W3122923006","https://openalex.org/W3145271316","https://openalex.org/W4239947938","https://openalex.org/W6680557077","https://openalex.org/W6684183927","https://openalex.org/W6693322430","https://openalex.org/W6696234513","https://openalex.org/W6721902065"],"related_works":["https://openalex.org/W2184710923","https://openalex.org/W3211629817","https://openalex.org/W2394447903","https://openalex.org/W2355132867","https://openalex.org/W2354237351","https://openalex.org/W2070671604","https://openalex.org/W2559547599","https://openalex.org/W621650632","https://openalex.org/W788509307","https://openalex.org/W2886196490"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,18,69,159,219],"improve":[3],"the":[4,40,46,59,73,170,186,203,221],"forecasting":[5,71,131,188],"ability":[6],"of":[7,61,75,98,121,167,191,210],"numerical":[8],"models,":[9],"a":[10,30,127],"sequential":[11],"data":[12,62,76,113,171,205,225],"assimilation":[13,63,77,89,109,114,144,172,206,226],"scheme,":[14],"nudging,":[15],"was":[16,79,157,196],"applied":[17],"blend":[19],"remotely":[20],"sensing":[21],"high-frequency":[22],"(HF)":[23],"radar":[24,86,100],"surface":[25,123,135,214],"currents":[26],"with":[27],"results":[28],"from":[29,54,224],"three-dimensional":[31],"numerical,":[32],"EFDC":[33],"(Environmental":[34],"Fluid":[35],"Dynamics":[36],"Code)":[37],"model.":[38,207],"For":[39],"first":[41],"time,":[42],"this":[43],"research":[44],"presents":[45],"most":[47],"appropriate":[48],"nudging":[49,90,143],"parameters,":[50],"which":[51],"were":[52,138,174,217],"determined":[53],"sensitivity":[55],"experiments.":[56],"To":[57],"examine":[58],"influence":[60],"cycle":[64,115],"lengths":[65],"on":[66],"forecasts":[67],"and":[68,176,180,213],"extend":[70],"improvements,":[72],"duration":[74],"cycles":[78],"studied":[80],"through":[81],"assimilating":[82],"linearly":[83],"interpolated":[84],"temporal":[85],"data.":[87],"Data":[88,151],"parameters":[91],"have":[92],"not":[93],"been":[94],"previously":[95],"analyzed.":[96],"Assimilation":[97,152],"HF":[99],"measurements":[101],"at":[102,145],"each":[103,146],"model":[104,130,147],"computational":[105,148],"timestep":[106],"outperformed":[107],"those":[108],"models":[110],"using":[111],"longer":[112],"lengths;":[116],"root-mean-square":[117],"error":[118],"(RMSE)":[119],"values":[120,166],"both":[122],"velocity":[124,182,211],"components":[125,212],"during":[126],"12":[128],"h":[129],"period":[132],"indicated":[133],"that":[134],"flow":[136,215],"fields":[137,216],"significantly":[139],"improved":[140,197],"when":[141],"implementing":[142],"timestep.":[149],"The":[150,164],"Skill":[153],"Score":[154],"(DASS)":[155],"technique":[156],"used":[158],"quantitatively":[160],"evaluate":[161],"forecast":[162],"improvements.":[163],"averaged":[165],"DASS":[168],"over":[169,185,228],"domain":[173],"26%":[175],"33%":[177],"for":[178],"east\u2013west":[179],"north\u2013south":[181],"components,":[183],"respectively,":[184],"half-day":[187],"period.":[189],"Correlation":[190],"Averaged":[192],"Kinetic":[193],"Energy":[194],"(AKE)":[195],"by":[198],"more":[199],"than":[200],"10%":[201],"in":[202],"best":[204],"Time":[208],"series":[209],"presented":[218],"illustrate":[220],"improvement":[222],"resulting":[223],"application":[227],"time.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}