{"id":"https://openalex.org/W4388301752","doi":"https://doi.org/10.2172/2002308","title":"Using Deep Learning to Develop a High Resolution Planetary Boundary Layer Model for Infrasound Propagation.","display_name":"Using Deep Learning to Develop a High Resolution Planetary Boundary Layer Model for Infrasound Propagation.","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4388301752","doi":"https://doi.org/10.2172/2002308"},"language":"en","primary_location":{"id":"doi:10.2172/2002308","doi":"https://doi.org/10.2172/2002308","is_oa":true,"landing_page_url":"https://doi.org/10.2172/2002308","pdf_url":"http://dx.doi.org/10.2172/2002308","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proposed for presentation at the Seismological Society of America Annual Meeting held April 19-23, 2022 in Bellevue, WA.","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dx.doi.org/10.2172/2002308","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033132076","display_name":"Sarah Albert","orcid":"https://orcid.org/0000-0002-2369-1997","observed_orcids":["https://orcid.org/0000-0002-2369-1997"]},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Albert","raw_affiliation_strings":[". Sandia National Laboratories , Albuquerque , NM , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". Sandia National Laboratories , Albuquerque , NM , USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048995250","display_name":"Daniel Bowman","orcid":"https://orcid.org/0000-0002-9341-520X","observed_orcids":["https://orcid.org/0000-0002-9341-520X"]},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Bowman","raw_affiliation_strings":[". Sandia National Laboratories , Albuquerque , NM , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". Sandia National Laboratories , Albuquerque , NM , USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065780743","display_name":"Douglas Seastrand","orcid":"https://orcid.org/0000-0003-0130-6370","observed_orcids":["https://orcid.org/0000-0003-0130-6370"]},"institutions":[{"id":"https://openalex.org/I4210130431","display_name":"Nevada National Security Site","ror":"https://ror.org/037k8mg80","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I4210130431"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Seastrand","raw_affiliation_strings":[". Nevada National Security Site , Las Vegas , NV , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". Nevada National Security Site , Las Vegas , NV , USA","institution_ids":["https://openalex.org/I4210130431"]}]},{"author_position":"last","author":{"id":null,"display_name":"Melissa Wright","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210130431","display_name":"Nevada National Security Site","ror":"https://ror.org/037k8mg80","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I4210130431"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melissa Wright","raw_affiliation_strings":[". Nevada National Security Site , Las Vegas , NV , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". Nevada National Security Site , Las Vegas , NV , USA","institution_ids":["https://openalex.org/I4210130431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.48100000619888306,"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":0.48100000619888306,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.15139999985694885,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.0835999995470047,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/atmospheric-boundary-layer","display_name":"atmospheric boundary layer","score":0.9319999814033508},{"id":"https://openalex.org/keywords/infrasound-propagation","display_name":"infrasound propagation","score":0.9959999918937683},{"id":"https://openalex.org/keywords/long-short-term-memory-networks","display_name":"long short-term memory networks","score":0.7929999828338623},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.5070000290870667},{"id":"https://openalex.org/keywords/las-vegas","display_name":"Las Vegas","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C11999413","wikidata":"https://www.wikidata.org/wiki/Q852817","display_name":"Radiosonde","level":2,"score":0.9785128831863403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5493053793907166},{"id":"https://openalex.org/C207240575","wikidata":"https://www.wikidata.org/wiki/Q212082","display_name":"Infrasound","level":2,"score":0.5473660230636597},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5232381224632263},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.499523401260376},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.4387175738811493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38369882106781006},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10670801997184753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2172/2002308","doi":"https://doi.org/10.2172/2002308","is_oa":true,"landing_page_url":"https://doi.org/10.2172/2002308","pdf_url":"http://dx.doi.org/10.2172/2002308","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proposed for presentation at the Seismological Society of America Annual Meeting held April 19-23, 2022 in Bellevue, WA.","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:2002308","doi":null,"is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2002308","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2172/2002308","doi":"https://doi.org/10.2172/2002308","is_oa":true,"landing_page_url":"https://doi.org/10.2172/2002308","pdf_url":"http://dx.doi.org/10.2172/2002308","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proposed for presentation at the Seismological Society of America Annual Meeting held April 19-23, 2022 in Bellevue, WA.","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G11630931","display_name":null,"funder_award_id":"DENA0003525","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2214935549","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320338291","funder_display_name":"Sandia National Laboratories"},{"id":"https://openalex.org/G3624711596","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320338286","funder_display_name":"Lawrence Livermore National Laboratory"},{"id":"https://openalex.org/G413247060","display_name":null,"funder_award_id":"DE\u2010NA,0003525","funder_id":"https://openalex.org/F4320338291","funder_display_name":"Sandia National Laboratories"},{"id":"https://openalex.org/G4903105778","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G5339743583","display_name":null,"funder_award_id":"NA0003525","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G680142904","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G855168022","display_name":null,"funder_award_id":"DENA-0003525","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"},{"id":"https://openalex.org/F4320338354","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388301752.pdf","grobid_xml":"https://content.openalex.org/works/W4388301752.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4285391914","https://openalex.org/W7204197761","https://openalex.org/W4291000516","https://openalex.org/W3216434579","https://openalex.org/W4399329323","https://openalex.org/W7214174855","https://openalex.org/W4403482931","https://openalex.org/W3178702742","https://openalex.org/W7204178448","https://openalex.org/W4414568487"],"abstract_inverted_index":{"Previous":[0],"research":[1],"has":[2],"shown":[3],"the":[4,54,59,63,69,111,119,122,162],"utility":[5],"of":[6,35,62,68,87,121],"deep":[7,139],"learning":[8,140],"in":[9,153,181],"predicting":[10],"atmospheric":[11,96,175],"structure":[12,97],"for":[13,76,105],"regional":[14,49],"infrasound":[15,146],"propagation.A":[16],"Long-Short":[17],"Term":[18],"Memory":[19],"network":[20],"can":[21,178],"be":[22,102,179],"used":[23,180],"to":[24,33,41,94,113,164,169],"predict":[25,95],"temperature,":[26],"wind":[27,30],"speed,":[28],"and":[29,89,172],"direction":[31],"up":[32],"altitudes":[34],"~40":[36],"km":[37],"with":[38,150],"performance":[39],"equal":[40],"or":[42,118],"better":[43],"than":[44],"state-of-the-art":[45],"reanalysis":[46],"models.However,":[47],"these":[48],"models":[50],"do":[51],"not":[52,125],"resolve":[53],"planetary":[55],"boundary":[56],"layer":[57],"(PBL),":[58],"lowermost":[60],"part":[61],"atmosphere,":[64],"well.An":[65],"accurate":[66],"model":[67,136,176],"PBL":[70,135],"is":[71,80,116,124],"important":[72],"at":[73,98],"local":[74],"distances":[75],"acoustic":[77,182],"waveform":[78,183],"modeling.This":[79],"often":[81],"accomplished":[82],"by":[83],"using":[84,142],"a":[85,132,166],"suite":[86],"robust":[88],"expensive":[90],"meteorological":[91],"sensors.A":[92],"method":[93,168],"this":[99],"resolution":[100,134],"would":[101],"very":[103],"beneficial":[104],"low":[106],"yield":[107],"monitoring":[108],"scenarios":[109],"where":[110],"ability":[112,163],"field":[114],"sensors":[115],"limited":[117],"timing":[120],"event":[123],"known":[126],"beforehand.Here":[127],"we":[128],"show":[129,161],"progress":[130],"towards":[131],"high":[133],"developed":[137],"via":[138],"techniques":[141],"an":[143,174],"ambient":[144],"urban":[145],"data":[147],"set":[148],"coupled":[149],"weather":[151],"measurements":[152],"Las":[154],"Vegas,":[155],"Nevada,":[156],"USA.We":[157],"anticipate":[158],"results":[159],"will":[160],"use":[165],"data-driven":[167],"predict,":[170],"interpolate,":[171],"extrapolate":[173],"that":[177],"modeling.":[184]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2023-11-04T00:00:00"}
