{"id":"https://openalex.org/W4297688878","doi":"https://doi.org/10.1155/2022/2117771","title":"Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka","display_name":"Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka","publication_year":2022,"publication_date":"2022-08-31","ids":{"openalex":"https://openalex.org/W4297688878","doi":"https://doi.org/10.1155/2022/2117771"},"language":"en","primary_location":{"id":"doi:10.1155/2022/2117771","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2117771","pdf_url":"https://downloads.hindawi.com/journals/acisc/2022/2117771.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/acisc/2022/2117771.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113522310","display_name":"Helani Perera","orcid":null},"institutions":[{"id":"https://openalex.org/I192365124","display_name":"Sri Lanka Institute of Information Technology","ror":"https://ror.org/00fhk4582","country_code":"LK","type":"education","lineage":["https://openalex.org/I192365124"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Helani Perera","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka","institution_ids":["https://openalex.org/I192365124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022608026","display_name":"Miyuru B. Gunathilake","orcid":"https://orcid.org/0000-0001-7052-1942"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Miyuru B. Gunathilake","raw_affiliation_strings":["Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy and Research, \u00c5s, Norway"],"raw_orcid":"https://orcid.org/0000-0001-7052-1942","affiliations":[{"raw_affiliation_string":"Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy and Research, \u00c5s, Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034147226","display_name":"Ravindu Panditharathne","orcid":null},"institutions":[{"id":"https://openalex.org/I192365124","display_name":"Sri Lanka Institute of Information Technology","ror":"https://ror.org/00fhk4582","country_code":"LK","type":"education","lineage":["https://openalex.org/I192365124"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Ravindu Panditharathne","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka","institution_ids":["https://openalex.org/I192365124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055960539","display_name":"Najib Mohammed Yahya Almahbashi","orcid":"https://orcid.org/0000-0002-6022-4749"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Najib Al-mahbashi","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Perak 32610, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-6022-4749","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Universiti Teknologi Petronas, Perak 32610, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065987103","display_name":"Upaka Rathnayake","orcid":"https://orcid.org/0000-0002-7341-9078"},"institutions":[{"id":"https://openalex.org/I192365124","display_name":"Sri Lanka Institute of Information Technology","ror":"https://ror.org/00fhk4582","country_code":"LK","type":"education","lineage":["https://openalex.org/I192365124"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Upaka Rathnayake","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka"],"raw_orcid":"https://orcid.org/0000-0002-7341-9078","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka","institution_ids":["https://openalex.org/I192365124"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065987103"],"corresponding_institution_ids":["https://openalex.org/I192365124"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.2715,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54889081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":1.0,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":1.0,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9979000091552734,"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":0.9976999759674072,"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/rain-gauge","display_name":"Rain gauge","score":0.7684898376464844},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6489207744598389},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.615932822227478},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49572885036468506},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.4510015845298767},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4416946470737457},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4184553027153015},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3988323509693146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3789350092411041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35550546646118164},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3416711091995239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15607047080993652},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09796389937400818},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09699225425720215}],"concepts":[{"id":"https://openalex.org/C120961793","wikidata":"https://www.wikidata.org/wiki/Q190052","display_name":"Rain gauge","level":3,"score":0.7684898376464844},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6489207744598389},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.615932822227478},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49572885036468506},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4510015845298767},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4416946470737457},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4184553027153015},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3988323509693146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3789350092411041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35550546646118164},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3416711091995239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15607047080993652},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09796389937400818},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09699225425720215},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/2117771","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2117771","pdf_url":"https://downloads.hindawi.com/journals/acisc/2022/2117771.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:66a366ccdab84431a8ac81ef667ff9f7","is_oa":true,"landing_page_url":"https://doaj.org/article/66a366ccdab84431a8ac81ef667ff9f7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)","raw_type":"article"},{"id":"pmh:oai:nibio.brage.unit.no:11250/3028296","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3028296","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"12","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"doi:10.1155/2022/2117771","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2117771","pdf_url":"https://downloads.hindawi.com/journals/acisc/2022/2117771.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297688878.pdf","grobid_xml":"https://content.openalex.org/works/W4297688878.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1871969869","https://openalex.org/W1987978179","https://openalex.org/W2003790230","https://openalex.org/W2026026281","https://openalex.org/W2100301322","https://openalex.org/W2108006050","https://openalex.org/W2112614586","https://openalex.org/W2114643713","https://openalex.org/W2116389926","https://openalex.org/W2140737366","https://openalex.org/W2140878949","https://openalex.org/W2160804315","https://openalex.org/W2170280355","https://openalex.org/W2172609192","https://openalex.org/W2194310208","https://openalex.org/W2300323517","https://openalex.org/W2318680928","https://openalex.org/W2325963232","https://openalex.org/W2414694296","https://openalex.org/W2597668382","https://openalex.org/W2610060301","https://openalex.org/W2778893856","https://openalex.org/W2797707900","https://openalex.org/W2886368623","https://openalex.org/W2889342517","https://openalex.org/W2896944463","https://openalex.org/W2921775581","https://openalex.org/W3001656370","https://openalex.org/W3092720741","https://openalex.org/W3130549378","https://openalex.org/W4224597195","https://openalex.org/W6678568454","https://openalex.org/W6940878157"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4241029684","https://openalex.org/W4385074335","https://openalex.org/W2083662853","https://openalex.org/W2894181464","https://openalex.org/W4382982879","https://openalex.org/W2773673095","https://openalex.org/W4385380152","https://openalex.org/W4311044000"],"abstract_inverted_index":{"Satellite-based":[0],"precipitation":[1,107,116],"products,":[2],"(SbPPs)":[3],"have":[4,23],"piqued":[5],"the":[6,61,78,96,99,104,110,150,176,208,230,257,261,290,309],"interest":[7],"of":[8,11,64,80,98,189,212,232,274],"a":[9,14,84,92,225,305],"number":[10],"researchers":[12],"as":[13,83,293],"reliable":[15],"replacement":[16],"for":[17,66,149,289,308],"observed":[18,44,138,181,254,279],"rainfall":[19,45,142,182,209,255,280],"data":[20,46,133,143,281],"which":[21],"often":[22],"limited":[24],"time":[25],"spans":[26],"and":[27,60,131,136,168,200,216,249,272],"missing":[28],"days.":[29],"The":[30,50,270,295],"SbPPs":[31,82],"possess":[32],"certain":[33],"uncertainties,":[34],"thus,":[35],"they":[36],"cannot":[37],"be":[38],"directly":[39],"used":[40,148,173,205,221],"without":[41],"comparing":[42,179],"against":[43,180],"prior":[47],"to":[48,76,87,102,174,206,222,253],"use.":[49],"Kelani":[51,111],"river":[52,59,112],"basin":[53],"is":[54,101],"Sri":[55],"Lanka\u2019s":[56],"fourth":[57],"longest":[58],"main":[62],"source":[63],"water":[65],"almost":[67],"5":[68],"million":[69],"people.":[70],"Therefore,":[71],"this":[72],"research":[73],"study":[74,311],"aims":[75],"identify":[77],"potential":[79],"using":[81,91,118,122],"different":[85],"method":[86],"measure":[88],"rain":[89,93,139],"besides":[90],"gauge.":[94],"Furthermore,":[95],"aim":[97],"work":[100],"examine":[103],"trends":[105],"in":[106,109,246],"products":[108,267,277,302],"basin.":[113],"Three":[114],"SbPPs,":[115],"estimation":[117],"remotely":[119],"sensed":[120],"information":[121],"artificial":[123],"neural":[124],"networks":[125],"(PERSIANN),":[126],"PERSIANN-cloud":[127],"classification":[128],"system":[129],"(CCS),":[130],"PERSIANN-climate":[132],"record":[134],"(CDR)":[135],"ground":[137],"gauge":[140],"daily":[141],"at":[144],"nine":[145],"locations":[146],"were":[147,172,204,220,234,282,287],"analysis.":[151],"Four":[152,184],"continuous":[153],"evaluation":[154],"indices,":[155],"namely,":[156],"root":[157],"mean":[158],"square":[159],"error":[160],"(RMSE),":[161],"(percent":[162],"bias)":[163],"PBias,":[164],"correlation":[165],"coefficient":[166],"(CC),":[167],"Nash\u2012Sutcliffe":[169],"efficiency":[170],"(NSE)":[171],"determine":[175],"accuracy":[177],"by":[178,236,242],"data.":[183],"categorical":[185],"indices":[186],"including":[187],"probability":[188],"detection":[190,210],"(POD),":[191],"false":[192],"alarm":[193],"ratio":[194],"(FAR),":[195],"critical":[196],"success":[197],"index":[198],"(CSI),":[199],"proportional":[201],"constant":[202],"(PC)":[203],"evaluate":[207],"capability":[211],"SbPPs.":[213],"Mann\u2012Kendall":[214],"test":[215],"Sen\u2019s":[217,237],"slope":[218],"estimator":[219],"identifying":[223],"whether":[224],"trend":[226,291],"was":[227],"present":[228],"while":[229,265],"magnitudes":[231],"these":[233],"calculated":[235],"slope.":[238],"PERSIANN-CDR":[239],"performed":[240],"well":[241],"showing":[243],"better":[244,306],"performance":[245],"both":[247],"POD":[248],"CSI.":[250],"When":[251],"compared":[252],"data,":[256],"PERSIANN":[258],"product":[259],"had":[260],"lowest":[262],"RMSE":[263],"value,":[264],"all":[266,275,300],"indicated":[268],"underestimations.":[269],"CC":[271],"NSE":[273],"three":[276,301],"with":[278],"also":[283],"low.":[284],"Mixed":[285],"results":[286,297],"obtained":[288],"analysis":[292],"well.":[294],"overall":[296],"showed":[298],"that":[299],"are":[303],"not":[304],"choice":[307],"chosen":[310],"area.":[312]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}