{"id":"https://openalex.org/W2031703644","doi":"https://doi.org/10.1109/igarss.2012.6351001","title":"Recent updates to the CASA nowcasting system","display_name":"Recent updates to the CASA nowcasting system","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2031703644","doi":"https://doi.org/10.1109/igarss.2012.6351001","mag":"2031703644"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002583379","display_name":"Evan Ruzanski","orcid":"https://orcid.org/0000-0002-9742-6301"},"institutions":[{"id":"https://openalex.org/I147191731","display_name":"Vaisala (United States)","ror":"https://ror.org/0033hxy10","country_code":"US","type":"company","lineage":["https://openalex.org/I147191731","https://openalex.org/I4210165384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evan Ruzanski","raw_affiliation_strings":["Boulder Operations, Vaisala, Inc., Louisville, CO, USA","Vaisala, Inc., Boulder Operations, 194 South Taylor Avenue, Louisville, Colorado 80027, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boulder Operations, Vaisala, Inc., Louisville, CO, USA","institution_ids":["https://openalex.org/I147191731"]},{"raw_affiliation_string":"Vaisala, Inc., Boulder Operations, 194 South Taylor Avenue, Louisville, Colorado 80027, USA","institution_ids":["https://openalex.org/I147191731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101988786","display_name":"V. Chandrasekar","orcid":"https://orcid.org/0000-0003-1569-698X"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Chandrasekar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, USA","Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, 80523-1373, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, 80523-1373, USA#TAB#","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0169,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82528075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2426","last_page":"2429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9998999834060669,"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":0.9998999834060669,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998000264167786,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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":0.9755674600601196},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6371273994445801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6145607233047485},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.5561851263046265},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5056753158569336},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5037121176719666},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4975169003009796},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4370593726634979},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4350450932979584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32168054580688477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28042352199554443},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2594364583492279},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2170138955116272},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12818029522895813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1021643877029419}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9755674600601196},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6371273994445801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145607233047485},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.5561851263046265},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5056753158569336},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5037121176719666},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4975169003009796},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4370593726634979},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4350450932979584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32168054580688477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28042352199554443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2594364583492279},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2170138955116272},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12818029522895813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1021643877029419},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1963670139","https://openalex.org/W1975423361","https://openalex.org/W2009223819","https://openalex.org/W2017107427","https://openalex.org/W2048046425","https://openalex.org/W2079565659","https://openalex.org/W2102182691","https://openalex.org/W2138602922","https://openalex.org/W2162153812","https://openalex.org/W4250233697"],"related_works":["https://openalex.org/W2798120804","https://openalex.org/W2036324114","https://openalex.org/W2997500395","https://openalex.org/W2050024921","https://openalex.org/W1933455866","https://openalex.org/W1544437858","https://openalex.org/W2166923512","https://openalex.org/W2275457798","https://openalex.org/W2128697856","https://openalex.org/W2383116385"],"abstract_inverted_index":{"The":[0,106],"Collaborative":[1],"Adaptive":[2,45],"Sensing":[3],"of":[4,17,48,66,108,119,126,131,147],"the":[5,41,79,102,109,141,148,151,165,169],"Atmosphere":[6],"(CASA)":[7],"nowcasting":[8,104],"system":[9],"currently":[10],"provides":[11],"0-30":[12],"min":[13],"automated":[14],"forecasts":[15],"(nowcasts)":[16],"precipitation":[18,58],"to":[19,86,101,117,160,172],"National":[20],"Weather":[21],"Service":[22],"forecasters,":[23],"emergency":[24],"managers,":[25],"and":[26,44,178],"researchers":[27],"using":[28,61,91],"composite":[29],"X-band":[30],"weather":[31],"radar":[32,67],"data.":[33],"Nowcasting":[34],"is":[35,115,136,175],"accomplished":[36],"in":[37,124],"two":[38],"steps.":[39],"First,":[40],"Fourier-based":[42],"Dynamic":[43],"Radar":[46],"Tracking":[47],"Storms":[49],"(DARTS)":[50],"technique":[51,123,159],"computes":[52],"a":[53,62,92,120],"motion":[54,60,88],"vector":[55,89],"field":[56,84,90],"representing":[57],"pattern":[59],"recently":[63],"observed":[64,81],"sequence":[65],"reflectivity":[68,72],"fields.":[69],"Then,":[70],"future":[71],"fields":[73],"are":[74,155],"estimated":[75],"by":[76],"recursively":[77],"advecting":[78],"latest":[80],"or":[82],"predicted":[83],"according":[85],"this":[87],"sine":[93,111],"kernel-based":[94,112],"method.":[95],"This":[96],"paper":[97],"presents":[98],"potential":[99,170],"upgrades":[100],"CASA":[103,149],"system.":[105],"performance":[107],"current":[110],"advection":[113],"method":[114],"compared":[116],"that":[118],"backward":[121],"mapping":[122],"terms":[125],"categorical":[127],"(rain/no":[128],"rain)":[129],"assessments":[130],"accuracy.":[132],"Because":[133],"computational":[134,153],"efficiency":[135],"an":[137],"important":[138],"concern":[139],"given":[140],"high-resolution":[142],"(0.5":[143],"km/1":[144],"min)":[145],"nature":[146],"data,":[150],"respective":[152],"efficiencies":[154],"also":[156,176],"compared.":[157],"A":[158],"perform":[161],"temporal":[162],"interpolation":[163],"within":[164],"DARTS":[166],"model":[167],"with":[168],"application":[171],"data":[173],"fusion":[174],"presented":[177],"assessed.":[179]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}