{"id":"https://openalex.org/W2904280621","doi":"https://doi.org/10.1142/s2424922x18500109","title":"Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin","display_name":"Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904280621","doi":"https://doi.org/10.1142/s2424922x18500109","mag":"2904280621"},"language":"en","primary_location":{"id":"doi:10.1142/s2424922x18500109","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x18500109","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Science and Adaptive Analysis","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/A5036905364","display_name":"Kimberly Leung","orcid":"https://orcid.org/0000-0002-7584-836X"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kimberly Leung","raw_affiliation_strings":["Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA"],"raw_orcid":"https://orcid.org/0000-0002-7584-836X","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047030429","display_name":"Aneesh C. Subramanian","orcid":"https://orcid.org/0000-0001-7805-0102"},"institutions":[{"id":"https://openalex.org/I150209017","display_name":"Scripps Institution of Oceanography","ror":"https://ror.org/04v7hvq31","country_code":"US","type":"facility","lineage":["https://openalex.org/I150209017","https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aneesh C. Subramanian","raw_affiliation_strings":["Scripps Institution of Oceanography, San Diego, CA 92093, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scripps Institution of Oceanography, San Diego, CA 92093, USA","institution_ids":["https://openalex.org/I150209017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005585461","display_name":"Samuel S. P. Shen","orcid":"https://orcid.org/0000-0002-4535-4684"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel S. P. Shen","raw_affiliation_strings":["Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA","institution_ids":["https://openalex.org/I26538001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11204628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"04","first_page":"1850010","last_page":"1850010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9986000061035156,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9933000206947327,"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/environmental-science","display_name":"Environmental science","score":0.6252790093421936},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4983644485473633},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49825119972229004},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.49061861634254456},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46858733892440796},{"id":"https://openalex.org/keywords/precipitable-water","display_name":"Precipitable water","score":0.4415149688720703},{"id":"https://openalex.org/keywords/water-vapor","display_name":"Water vapor","score":0.38589322566986084},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19975000619888306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1885533630847931},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15673649311065674},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12895655632019043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.11348366737365723}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6252790093421936},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4983644485473633},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49825119972229004},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.49061861634254456},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46858733892440796},{"id":"https://openalex.org/C156008332","wikidata":"https://www.wikidata.org/wiki/Q778526","display_name":"Precipitable water","level":3,"score":0.4415149688720703},{"id":"https://openalex.org/C147534773","wikidata":"https://www.wikidata.org/wiki/Q190120","display_name":"Water vapor","level":2,"score":0.38589322566986084},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19975000619888306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1885533630847931},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15673649311065674},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12895655632019043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11348366737365723},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2424922x18500109","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x18500109","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Science and Adaptive Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1417970725","display_name":null,"funder_award_id":"AGS-1015957","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G1887234353","display_name":null,"funder_award_id":"AGS-1015926","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8539717852","display_name":null,"funder_award_id":"AGS-1015964","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W386862310","https://openalex.org/W1494444932","https://openalex.org/W1972268020","https://openalex.org/W1972776901","https://openalex.org/W1972872205","https://openalex.org/W1978913484","https://openalex.org/W1990063873","https://openalex.org/W2020638959","https://openalex.org/W2040325304","https://openalex.org/W2063048380","https://openalex.org/W2095702361","https://openalex.org/W2109082012","https://openalex.org/W2114697822","https://openalex.org/W2119525553","https://openalex.org/W2122739768","https://openalex.org/W2157382966","https://openalex.org/W2161413373","https://openalex.org/W2164284840","https://openalex.org/W2175215085","https://openalex.org/W2281799820","https://openalex.org/W2294102898","https://openalex.org/W2320488363","https://openalex.org/W2528332633","https://openalex.org/W4238652859"],"related_works":["https://openalex.org/W2081618251","https://openalex.org/W2361124706","https://openalex.org/W2386175231","https://openalex.org/W1978270289","https://openalex.org/W2363586317","https://openalex.org/W2377665953","https://openalex.org/W2181605664","https://openalex.org/W2341486384","https://openalex.org/W2394297524","https://openalex.org/W4205782423"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,30,38,55,61,65,75,97,122,168,198],"statistical":[4,188],"characteristics":[5,189],"of":[6,41,52,100,129,135,167,178,190,202],"a":[7,80,85,159],"unique":[8],"long-term":[9,192],"high-resolution":[10,193],"precipitable":[11,101],"water":[12,102,185],"vapor":[13],"(PWV)":[14],"data":[15,67,82,92,142,170,195],"set":[16,83],"at":[17,54],"Darwin,":[18],"Australia,":[19],"from":[20,64],"12":[21],"March":[22],"2002":[23],"to":[24,95,107,117,157,183],"28":[25],"February":[26],"2011.":[27],"To":[28],"understand":[29],"convective":[31],"precipitation":[32],"processes":[33],"for":[34,69,161],"climate":[35,203],"model":[36],"development,":[37],"U.S.":[39],"Department":[40],"Energy\u2019s":[42],"Atmospheric":[43],"Radiation":[44],"Measurement":[45],"(ARM)":[46],"program":[47],"made":[48],"high-frequency":[49],"radar":[50,66],"observations":[51],"PWV":[53,81,136,146,169,194],"Darwin":[56],"ARM":[57],"site":[58],"and":[59,139,154,200],"released":[60],"best":[62,76],"estimates":[63],"retrievals":[68],"this":[70,191],"time":[71,88],"period.":[72],"Based":[73],"on":[74,84],"estimates,":[77],"we":[78],"produced":[79],"uniform":[86],"20-s":[87],"grid.":[89],"The":[90,133,164,187],"gridded":[91],"were":[93],"sufficient":[94],"show":[96,143],"fractal":[98],"behavior":[99],"with":[103],"Hausdorff":[104],"dimension":[105],"equal":[106],"1.9.":[108],"Fourier":[109],"power":[110],"spectral":[111],"analysis":[112],"revealed":[113],"modulation":[114],"instability":[115],"due":[116],"two":[118],"sideband":[119],"frequencies":[120],"near":[121],"diurnal":[123],"cycle,":[124],"which":[125,173],"manifests":[126],"as":[127],"nonlinearity":[128],"an":[130,175],"atmospheric":[131],"system.":[132],"statistics":[134],"extreme":[137],"values":[138],"daily":[140],"rainfall":[141],"that":[144],"Darwin\u2019s":[145],"has":[147,155],"El":[148],"Nino":[149],"Southern":[150],"Oscillation":[151],"(ENSO)":[152],"signatures":[153],"potential":[156],"be":[158],"predictor":[160],"weather":[162],"forecasting.":[163],"right":[165],"skewness":[166],"was":[171],"identified,":[172],"implies":[174],"important":[176],"property":[177],"tropical":[179],"atmosphere:":[180],"ample":[181],"capacity":[182],"hold":[184],"vapor.":[186],"will":[196],"facilitate":[197],"development":[199],"validation":[201],"models,":[204],"particularly":[205],"stochastic":[206],"models.":[207]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
