{"id":"https://openalex.org/W2886907267","doi":"https://doi.org/10.1177/0037549718789492","title":"Characterization of a two-dimensional static wind field using Radial Basis Functions","display_name":"Characterization of a two-dimensional static wind field using Radial Basis Functions","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2886907267","doi":"https://doi.org/10.1177/0037549718789492","mag":"2886907267"},"language":"en","primary_location":{"id":"doi:10.1177/0037549718789492","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549718789492","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"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":"SIMULATION","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/A5015890077","display_name":"Brandon Troub","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Troub","raw_affiliation_strings":["Department of Mechanical Engineering University of South Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering University of South Alabama, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021831513","display_name":"Rockwell Garrido","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rockwell Garrido","raw_affiliation_strings":["Department of Mechanical Engineering University of South Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering University of South Alabama, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490926","display_name":"Carlos Montalvo","orcid":"https://orcid.org/0000-0001-5078-0154"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carlos Montalvo","raw_affiliation_strings":["Department of Mechanical Engineering University of South Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering University of South Alabama, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035908490","display_name":"Richardson Jd","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JD Richardson","raw_affiliation_strings":["Department of Mechanical Engineering University of South Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering University of South Alabama, USA","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101490926"],"corresponding_institution_ids":["https://openalex.org/I83809506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07461991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":"6","first_page":"561","last_page":"567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10347","display_name":"Atmospheric aerosols and clouds","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.7133838534355164},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.665569543838501},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.622202455997467},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6140871047973633},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5377882122993469},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5132396221160889},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5099035501480103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3806105852127075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37615329027175903},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.20849916338920593},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1080358624458313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0882260799407959}],"concepts":[{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7133838534355164},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.665569543838501},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.622202455997467},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6140871047973633},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5377882122993469},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5132396221160889},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5099035501480103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3806105852127075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37615329027175903},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.20849916338920593},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1080358624458313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0882260799407959},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549718789492","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549718789492","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"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":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1507806627","https://openalex.org/W1545465591","https://openalex.org/W1966764026","https://openalex.org/W1968284139","https://openalex.org/W1980785126","https://openalex.org/W1993646945","https://openalex.org/W1996318330","https://openalex.org/W1998780272","https://openalex.org/W2002240385","https://openalex.org/W2005423095","https://openalex.org/W2035933721","https://openalex.org/W2044634046","https://openalex.org/W2088351237","https://openalex.org/W2107699930","https://openalex.org/W2121338560","https://openalex.org/W2122065664","https://openalex.org/W2139004160","https://openalex.org/W2149921913","https://openalex.org/W2226685578","https://openalex.org/W2333938856","https://openalex.org/W2768084401","https://openalex.org/W4246108828","https://openalex.org/W4253047770"],"related_works":["https://openalex.org/W2006953814","https://openalex.org/W2542637001","https://openalex.org/W1972782945","https://openalex.org/W3212981098","https://openalex.org/W4221090543","https://openalex.org/W2130622405","https://openalex.org/W2374946871","https://openalex.org/W2109887391","https://openalex.org/W2996441418","https://openalex.org/W4286614785"],"abstract_inverted_index":{"Radial":[0,28,56,78,125,170,236],"Basis":[1,29,57,79,126,171,237],"Functions":[2,30,58,80,172],"are":[3,20,31,42,73,156,218],"a":[4,9,13,25,61,94,115,137,144,175,221,228,235],"modern":[5],"way":[6],"of":[7,12,112,118,121,165,183,192,199,203,211],"creating":[8],"regression":[10,239],"model":[11,233],"multivariate":[14],"function":[15],"when":[16,37],"sampled":[17,100,204],"data":[18,67,69,101,184,205],"points":[19,185,206],"not":[21],"uniformly":[22],"distributed":[23],"in":[24,123,135],"perfect":[26],"grid.":[27],"well":[32],"suited":[33],"to":[34,44,59,64,77,81,159,186,227],"atmospheric":[35,231],"characterization":[36],"unmanned":[38],"aerial":[39],"vehicles":[40],"(UAVs)":[41],"used":[43],"sample":[45],"the":[46,52,55,65,83,91,99,103,110,119,124,148,154,162,166,169,181,190,197,209],"given":[47],"space.":[48],"Multiple":[49],"UAVs":[50],"reduce":[51],"time":[53],"for":[54,93,147],"yield":[60],"suitable":[62,176],"solution":[63],"measured":[66],"while":[68],"from":[70],"all":[71],"aircraft":[72],"aggregated":[74],"and":[75,102,201,234],"sent":[76],"fit":[82,122],"data.":[84,105],"The":[85,194,214],"research":[86],"presented":[87,216],"here":[88,217],"focuses":[89],"on":[90],"requirements":[92],"high":[95],"correlation":[96],"value":[97],"between":[98,196],"actual":[104],"It":[106],"is":[107,114,132],"found":[108],"that":[109],"number":[111,182,191,198,202,210],"centers":[113,141,155,200,212],"large":[116],"driver":[117],"goodness":[120],"Function":[127,238],"routine,":[128],"much":[129],"like":[130,143],"aliasing":[131],"an":[133],"issue":[134],"sampling":[136,145],"sinusoidal":[138],"function.":[139],"These":[140],"act":[142],"rate":[146],"spatially":[149,229],"varying":[150,230],"wind":[151,167,232],"field.":[152],"If":[153],"dense":[157],"enough":[158],"fully":[160],"capture":[161],"spatial":[163],"frequency":[164],"field,":[168],"will":[173],"produce":[174],"fit.":[177],"This":[178],"also":[179],"requires":[180],"be":[187],"larger":[188],"than":[189],"centers.":[193],"ratio":[195],"declines":[207],"as":[208],"increases.":[213],"results":[215],"revealed":[219],"using":[220],"two-dimensional":[222],"Fourier":[223],"series":[224],"analysis":[225],"coupled":[226],"model.":[240]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
