{"id":"https://openalex.org/W3122348589","doi":"https://doi.org/10.1109/lgrs.2021.3049673","title":"Deep Precipitation Downscaling","display_name":"Deep Precipitation Downscaling","publication_year":2021,"publication_date":"2021-01-20","ids":{"openalex":"https://openalex.org/W3122348589","doi":"https://doi.org/10.1109/lgrs.2021.3049673","mag":"3122348589"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3049673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3049673","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5112887431","display_name":"Tingzhao Yu","orcid":"https://orcid.org/0000-0002-7558-4448"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingzhao Yu","raw_affiliation_strings":["Public Meteorological Service Centre, China Meteorological Administration, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7558-4448","affiliations":[{"raw_affiliation_string":"Public Meteorological Service Centre, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054134656","display_name":"Qiuming Kuang","orcid":"https://orcid.org/0000-0002-6595-3203"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuming Kuang","raw_affiliation_strings":["Public Meteorological Service Centre, China Meteorological Administration, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6595-3203","affiliations":[{"raw_affiliation_string":"Public Meteorological Service Centre, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007264326","display_name":"Jiangping Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangping Zheng","raw_affiliation_strings":["Public Meteorological Service Centre, China Meteorological Administration, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Meteorological Service Centre, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102773366","display_name":"Junnan Hu","orcid":"https://orcid.org/0000-0001-9481-896X"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junnan Hu","raw_affiliation_strings":["Public Meteorological Service Centre, China Meteorological Administration, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Meteorological Service Centre, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141301092"],"apc_list":null,"apc_paid":null,"fwci":1.0364,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77771505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/downscaling","display_name":"Downscaling","score":0.920953631401062},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.7230026125907898},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5695854425430298},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5622537136077881},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5544120073318481},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5195537209510803},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5031232237815857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.496855765581131},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.49208706617355347},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.4742133617401123},{"id":"https://openalex.org/keywords/storm","display_name":"Storm","score":0.4270560145378113},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3942708969116211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19916468858718872},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13842493295669556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08735024929046631},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06697893142700195}],"concepts":[{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.920953631401062},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.7230026125907898},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5695854425430298},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5622537136077881},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5544120073318481},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5195537209510803},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5031232237815857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.496855765581131},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.49208706617355347},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.4742133617401123},{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.4270560145378113},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3942708969116211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19916468858718872},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13842493295669556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08735024929046631},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06697893142700195},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3049673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3049673","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G4403095078","display_name":"\u5206\u949f\u7ea7\u964d\u6c34\u4e34\u8fd1\u9884\u62a5\u53ca\u5176\u5728\u6ce5\u77f3\u6d41\u65e9\u671f\u9884\u8b66\u4e2d\u7684\u5e94\u7528\u7814\u7a76","funder_award_id":"41871020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5275441","display_name":null,"funder_award_id":"2018YFC1507801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5773106840","display_name":null,"funder_award_id":"2018YFF0300105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1586754677","https://openalex.org/W1789155650","https://openalex.org/W2024816070","https://openalex.org/W2063683139","https://openalex.org/W2176478590","https://openalex.org/W2242218935","https://openalex.org/W2286238773","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2508876297","https://openalex.org/W2807107999","https://openalex.org/W2866634454","https://openalex.org/W2869444156","https://openalex.org/W2885352177","https://openalex.org/W2894107800","https://openalex.org/W2959203930","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963578515","https://openalex.org/W2980276221","https://openalex.org/W2999418043","https://openalex.org/W3039441806","https://openalex.org/W3080928180","https://openalex.org/W6618372016","https://openalex.org/W6628877408","https://openalex.org/W6739112683"],"related_works":["https://openalex.org/W2394436593","https://openalex.org/W3013458534","https://openalex.org/W3010558748","https://openalex.org/W2526815458","https://openalex.org/W4220911053","https://openalex.org/W2380042710","https://openalex.org/W2944582722","https://openalex.org/W4377833746","https://openalex.org/W4387102043","https://openalex.org/W769766909"],"abstract_inverted_index":{"Precipitation":[0],"downscaling,":[1],"which":[2,57],"is":[3,22,70,88,130],"similar":[4],"to":[5,13,105],"the":[6,15,93,98,107,139,142],"mechanism":[7],"of":[8,18,23,141],"single-image":[9],"super-resolution":[10],"(SR),":[11],"aims":[12],"improve":[14,106],"spatial":[16,43,84],"resolution":[17],"rain":[19,76,99,112],"maps.":[20],"It":[21],"great":[24],"practical":[25],"value":[26],"and":[27,66,121],"theoretical":[28],"significance.":[29],"This":[30],"letter":[31],"presents":[32],"a":[33,80,123],"new":[34],"deep":[35],"precipitation":[36],"downscaling":[37],"(DPD)":[38],"method,":[39],"named":[40],"auxiliary":[41,53],"guided":[42,54],"distortion":[44,85],"(AGSD)":[45],"network,":[46],"motivated":[47],"by":[48],"SR":[49],"techniques.":[50],"Specifically,":[51],"an":[52],"module":[55,86],"(AGM),":[56],"takes":[58],"multiple":[59],"meteorological":[60],"elements":[61],"(e.g.,":[62],"temperature,":[63],"relative":[64],"humidity,":[65],"wind)":[67],"as":[68],"input,":[69],"proposed":[71,143],"for":[72],"getting":[73],"more":[74],"accurate":[75],"map":[77,100],"features.":[78],"Meanwhile,":[79],"simple":[81],"but":[82],"effective":[83],"(SDM)":[87],"proposed.":[89],"Benefitting":[90],"from":[91],"SDM,":[92],"DPD":[94],"model":[95,108],"can":[96],"rectify":[97],"via":[101],"terrain":[102],"correlation.":[103],"Furthermore,":[104],"performance":[109],"among":[110],"various":[111],"intensity":[113],"(including":[114],"small":[115],"rain,":[116,118,120],"moderate":[117],"heavy":[119],"storm),":[122],"threat":[124],"score-driven":[125],"pseudo":[126],"threat-score":[127],"(PTS)":[128],"loss":[129],"presented.":[131],"Experimental":[132],"results":[133],"compared":[134],"with":[135],"state-of-the-art":[136],"methods":[137],"demonstrate":[138],"superiority":[140],"method.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
