{"id":"https://openalex.org/W4366827173","doi":"https://doi.org/10.3390/rs15092245","title":"Assessment of a New Solar Radiation Nowcasting Method Based on FY-4A Satellite Imagery, the McClear Model and SHapley Additive exPlanations (SHAP)","display_name":"Assessment of a New Solar Radiation Nowcasting Method Based on FY-4A Satellite Imagery, the McClear Model and SHapley Additive exPlanations (SHAP)","publication_year":2023,"publication_date":"2023-04-24","ids":{"openalex":"https://openalex.org/W4366827173","doi":"https://doi.org/10.3390/rs15092245"},"language":"en","primary_location":{"id":"doi:10.3390/rs15092245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092245","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2245/pdf?version=1682319042","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/2072-4292/15/9/2245/pdf?version=1682319042","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030291870","display_name":"Dongyu Jia","orcid":"https://orcid.org/0000-0002-3919-5656"},"institutions":[{"id":"https://openalex.org/I4210140336","display_name":"Lanzhou City University","ror":"https://ror.org/03cd4ja39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210140336"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":true,"raw_author_name":"Dongyu Jia","raw_affiliation_strings":["College of Urban Environment, Lanzhou City University, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"College of Urban Environment, Lanzhou City University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I4210140336","https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082105663","display_name":"Liwei Yang","orcid":"https://orcid.org/0000-0002-8905-8043"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liwei Yang","raw_affiliation_strings":["Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions/Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions/Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077435124","display_name":"Xiaoqing Gao","orcid":"https://orcid.org/0000-0003-0806-2014"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Gao","raw_affiliation_strings":["Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions/Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions/Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101719246","display_name":"Kaiming Li","orcid":"https://orcid.org/0009-0005-8592-4812"},"institutions":[{"id":"https://openalex.org/I4210140336","display_name":"Lanzhou City University","ror":"https://ror.org/03cd4ja39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210140336"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Kaiming Li","raw_affiliation_strings":["College of Urban Environment, Lanzhou City University, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"College of Urban Environment, Lanzhou City University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I4210140336","https://openalex.org/I6469544"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030291870"],"corresponding_institution_ids":["https://openalex.org/I4210140336","https://openalex.org/I6469544"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.1283,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93101006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"15","issue":"9","first_page":"2245","last_page":"2245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9850999712944031,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9692999720573425,"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/nowcasting","display_name":"Nowcasting","score":0.5990288853645325},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5984414219856262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5586268305778503},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.47643691301345825},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4471738338470459},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4379648268222809},{"id":"https://openalex.org/keywords/radiation","display_name":"Radiation","score":0.43297815322875977},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4144553542137146},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40026187896728516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2228512465953827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22256630659103394},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10755017399787903},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08995959162712097}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.5990288853645325},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5984414219856262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5586268305778503},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.47643691301345825},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4471738338470459},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4379648268222809},{"id":"https://openalex.org/C153385146","wikidata":"https://www.wikidata.org/wiki/Q18335","display_name":"Radiation","level":2,"score":0.43297815322875977},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4144553542137146},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40026187896728516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2228512465953827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22256630659103394},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10755017399787903},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08995959162712097},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15092245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092245","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2245/pdf?version=1682319042","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:oai:doaj.org/article:fd38d0f6e43c463b80d7a64fbe734067","is_oa":true,"landing_page_url":"https://doaj.org/article/fd38d0f6e43c463b80d7a64fbe734067","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":"Remote Sensing, Vol 15, Iss 9, p 2245 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/9/2245/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15092245","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 15; Issue 9; Pages: 2245","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15092245","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15092245","pdf_url":"https://www.mdpi.com/2072-4292/15/9/2245/pdf?version=1682319042","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":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366827173.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2153119219","https://openalex.org/W2216444323","https://openalex.org/W2274744025","https://openalex.org/W2569349941","https://openalex.org/W2598470788","https://openalex.org/W2742405665","https://openalex.org/W2792921542","https://openalex.org/W2794423285","https://openalex.org/W2896243733","https://openalex.org/W2900636989","https://openalex.org/W2904600119","https://openalex.org/W2912697538","https://openalex.org/W2915081556","https://openalex.org/W2936870806","https://openalex.org/W2962843543","https://openalex.org/W2982191044","https://openalex.org/W2990865816","https://openalex.org/W3013083778","https://openalex.org/W3130220533","https://openalex.org/W3153095052","https://openalex.org/W3155826274","https://openalex.org/W4210576749","https://openalex.org/W4212883601","https://openalex.org/W4213080935","https://openalex.org/W4233112785","https://openalex.org/W6794258585"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4316468557","https://openalex.org/W2003007722","https://openalex.org/W4383907499","https://openalex.org/W3168060906","https://openalex.org/W1981013915","https://openalex.org/W2032799862","https://openalex.org/W2392074835","https://openalex.org/W1971298709"],"abstract_inverted_index":{"The":[0,17,81],"global":[1,267],"warming":[2],"effect":[3,276],"has":[4],"been":[5],"accelerating":[6],"rapidly":[7],"and":[8,15,40,55,68,98,115,126,137,139,145,168,218,280,315],"poses":[9],"a":[10,53,319],"threat":[11],"to":[12,20,25,37,185,250],"human":[13],"survival":[14],"health.":[16],"top":[18],"priority":[19],"solve":[21],"this":[22,32,51],"problem":[23],"is":[24,35,61,303],"provide":[26,38,318],"reliable":[27],"renewable":[28],"energy.":[29],"To":[30],"achieve":[31],"goal,":[33],"it":[34,153,316],"important":[36,305],"fast":[39,54],"accurate":[41,56],"solar":[42,57,268,297],"radiation":[43,58,79,165,175,269,290,298,307],"predictions":[44,176],"based":[45],"on":[46,261],"limited":[47],"observation":[48],"data.":[49],"In":[50,151],"study,":[52],"nowcasting":[59],"method":[60,285],"proposed":[62],"by":[63,196],"combining":[64],"FY-4A":[65,217],"satellite":[66],"data":[67,160,259],"the":[69,75,85,92,99,104,164,172,178,187,191,198,206,211,221,226,230,234,240,264,274,283,293,322],"McClear":[70],"clear":[71],"sky":[72],"model":[73,97,101,222,244],"under":[74,147,292],"condition":[76,294],"of":[77,174,215,325],"only":[78,246,296],"observation.":[80],"results":[82,193,235],"show":[83],"that":[84,157,295],"random":[86],"forest":[87],"(RF)":[88],"performed":[89],"better":[90],"than":[91],"support":[93],"vector":[94],"regression":[95],"(SVR)":[96],"reference":[100,320],"(Clim-Pers),":[102],"with":[103,225,311],"smallest":[105,117,128],"normalized":[106,118,129],"root":[107],"mean":[108,119,130],"square":[109],"error":[110,121,132],"(nRMSE)":[111],"values":[112,123,134,142],"(between":[113,124,135,143],"13.90%":[114],"33.80%),":[116],"absolute":[120],"(nMAE)":[122],"7.50%":[125],"24.77%),":[127],"bias":[131],"(nMBE)":[133],"\u22121.17%":[136],"0.7%)":[138],"highest":[140],"R2":[141],"0.76":[144],"0.95)":[146],"different":[148],"time":[149,179],"horizons.":[150],"addition,":[152],"can":[154,161,169,317],"be":[155],"summarized":[156],"remote":[158],"sensing":[159],"significantly":[162],"improve":[163],"forecasting":[166],"performance":[167],"effectively":[170],"guarantee":[171],"stability":[173],"when":[177],"horizon":[180],"exceeds":[181],"60":[182],"min.":[183],"Furthermore,":[184],"obtain":[186],"optimal":[188],"operation":[189],"efficiency,":[190],"prediction":[192,275,291,308],"were":[194,300],"interpreted":[195],"introducing":[197],"latest":[199],"SHapley":[200],"Additive":[201],"exPlanation":[202],"(SHAP)":[203],"method.":[204],"From":[205],"interpretation":[207],"results,":[208],"we":[209],"selected":[210],"three":[212],"key":[213],"channels":[214],"an":[216],"then":[219],"made":[220],"lightweight.":[223],"Compared":[224],"original":[227],"input":[228,243],"model,":[229],"new":[231,284],"one":[232],"predicted":[233],"more":[236],"rapidly.":[237],"For":[238],"instance,":[239],"lightweight":[241],"parameter":[242,255],"needed":[245],"0.3084":[247],"s":[248,252],"(compared":[249],"0.5591":[251],"for":[253,263,306,321],"full":[254],"input)":[256],"per":[257],"single":[258],"point":[260],"average":[262],"10":[265],"min":[266],"forecast":[270],"in":[271,289,309],"Yuzhong.":[272],"Meanwhile,":[273],"also":[277],"remained":[278],"stable":[279],"reliable.":[281],"Overall,":[282],"showed":[286],"its":[287],"advantages":[288],"observations":[299],"available.":[301],"This":[302],"very":[304],"cities":[310],"scarce":[312],"meteorological":[313],"observation,":[314],"location":[323],"planning":[324],"photovoltaic":[326],"power":[327],"stations.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2023-04-25T00:00:00"}