{"id":"https://openalex.org/W2134093296","doi":"https://doi.org/10.1109/tgrs.2010.2103946","title":"Scale Filtering for Improved Nowcasting Performance in a High-Resolution X-Band Radar Network","display_name":"Scale Filtering for Improved Nowcasting Performance in a High-Resolution X-Band Radar Network","publication_year":2011,"publication_date":"2011-02-11","ids":{"openalex":"https://openalex.org/W2134093296","doi":"https://doi.org/10.1109/tgrs.2010.2103946","mag":"2134093296"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2103946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2103946","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/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":["Vaisala, Inc., Louisville, CO, USA","Vaisala Inc  Louisville CO USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vaisala, Inc., Louisville, CO, USA","institution_ids":["https://openalex.org/I147191731"]},{"raw_affiliation_string":"Vaisala Inc  Louisville CO 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","Dept. of Electr. and Comput. Eng., Colorado State Univ., Fort Collins, CO, USA"],"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":"Dept. of Electr. and Comput. Eng., Colorado State Univ., Fort Collins, CO, USA","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":0.6806,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.74249163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"49","issue":"6","first_page":"2296","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","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/T10466","display_name":"Meteorological Phenomena and Simulations","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/T11234","display_name":"Precipitation Measurement and Analysis","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/T10029","display_name":"Climate variability and models","score":0.9997000098228455,"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":0.9570115804672241},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6568033695220947},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6508572101593018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5436827540397644},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5088577270507812},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4624934494495392},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.460509717464447},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.45002537965774536},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.44614025950431824},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4312342405319214},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.37990015745162964},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3002452552318573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19382452964782715},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17266187071800232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15187981724739075},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11586418747901917}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9570115804672241},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6568033695220947},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6508572101593018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5436827540397644},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5088577270507812},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4624934494495392},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.460509717464447},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.45002537965774536},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.44614025950431824},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4312342405319214},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.37990015745162964},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3002452552318573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19382452964782715},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17266187071800232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15187981724739075},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11586418747901917},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2010.2103946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2103946","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W147723833","https://openalex.org/W1445033369","https://openalex.org/W1524045137","https://openalex.org/W1532186228","https://openalex.org/W1766888123","https://openalex.org/W1963670139","https://openalex.org/W1969331456","https://openalex.org/W1999670060","https://openalex.org/W2006045909","https://openalex.org/W2014407290","https://openalex.org/W2036204083","https://openalex.org/W2049805374","https://openalex.org/W2056021206","https://openalex.org/W2057666958","https://openalex.org/W2078308830","https://openalex.org/W2078908559","https://openalex.org/W2079565659","https://openalex.org/W2079884240","https://openalex.org/W2084347101","https://openalex.org/W2088738235","https://openalex.org/W2111473540","https://openalex.org/W2113700178","https://openalex.org/W2117817087","https://openalex.org/W2129014720","https://openalex.org/W2135479785","https://openalex.org/W2153529786","https://openalex.org/W2173271450","https://openalex.org/W2175461096","https://openalex.org/W2179278898","https://openalex.org/W2179396323","https://openalex.org/W2180449422","https://openalex.org/W2325519139","https://openalex.org/W2951920181","https://openalex.org/W4211148370","https://openalex.org/W4250233697","https://openalex.org/W4252713891","https://openalex.org/W4302070335","https://openalex.org/W4388315674"],"related_works":["https://openalex.org/W1956261981","https://openalex.org/W3086160891","https://openalex.org/W2366487767","https://openalex.org/W2383414245","https://openalex.org/W2107106750","https://openalex.org/W2008959080","https://openalex.org/W1970549373","https://openalex.org/W3119342855","https://openalex.org/W2970857873","https://openalex.org/W2385463848"],"abstract_inverted_index":{"Precipitation":[0],"patterns":[1],"exist":[2],"on":[3,211],"a":[4,105,215,283],"continuum":[5],"of":[6,21,70,125,135,165,196,198,208,228,237,242,255,267,290],"scales":[7,65,78,180],"where":[8],"generally":[9],"larger":[10,126],"scale":[11,127,169,209],"features":[12,128],"facilitate":[13],"longer":[14],"useful":[15],"prediction":[16,42,74,188,261],"times":[17,143],"at":[18,167],"the":[19,133,136,154,194,206,229,253,260,264,279],"expense":[20],"coarser":[22],"resolution.":[23],"Favorable":[24],"measurement":[25],"range":[26],"and":[27,60,170,201,219],"resolution":[28],"make":[29],"weather":[30,41],"radar":[31,58,231],"observations":[32,59],"an":[33,94],"attractive":[34],"choice":[35],"for":[36,73,140,224,271],"input":[37],"to":[38,110,122,130,145,162,177,187,204,263,278],"automated":[39],"short-term":[40],"(nowcasting)":[43],"systems.":[44],"Previous":[45],"research":[46],"has":[47,90,149],"shown":[48,92,152],"that":[49,66,93,156],"nowcasting":[50,97,212,217],"performance":[51,98,213],"can":[52,99,159,174],"be":[53,100,160,175],"improved":[54],"by":[55,84,102,248],"spatially":[56],"filtering":[57,76,203,210,251,277],"considering":[61],"only":[62],"those":[63,77],"precipitation":[64,138],"are":[67],"most":[68],"representative":[69],"pattern":[71,139],"motion":[72,124,134],"or":[75],"from":[79,181],"predicted":[80,182],"fields":[81,121,185,269],"deemed":[82],"unpredictable":[83],"remaining":[85],"past":[86],"their":[87],"lifetimes.":[88],"It":[89,148],"been":[91,151],"improvement":[95,236],"in":[96,153,240,252,286],"obtained":[101],"first":[103],"applying":[104,249,275],"nonlinear":[106],"elliptical":[107],"spatial":[108],"filter":[109],"observed":[111,247,265],"Weather":[112],"Surveillance":[113],"Radar":[114],"88":[115],"Doppler":[116],"vertically":[117],"integrated":[118],"liquid":[119],"water":[120],"predict":[123],"believed":[129],"better":[131],"represent":[132],"entire":[137],"forecast":[141],"lead":[142,189],"up":[144],"1":[146],"h.":[147],"also":[150],"literature":[155],"wavelet":[157,172],"transform":[158],"used":[161,270],"develop":[163],"measures":[164],"predictability":[166],"each":[168],"adaptive":[171],"filters":[173],"designed":[176],"remove":[178],"perishable":[179],"continental-scale":[183],"reflectivity":[184,232,268],"according":[186],"time.":[190],"This":[191],"paper":[192],"investigates":[193],"adaptation":[195],"both":[197],"these":[199],"approaches":[200],"Fourier":[202,250,257,276],"evaluate":[205],"effects":[207],"using":[214],"Fourier-based":[216],"method":[218],"high-resolution":[220],"Engineering":[221],"Research":[222],"Center":[223],"Collaborative":[225],"Adaptive":[226],"Sensing":[227],"Atmosphere":[230],"data.":[233],"A":[234],"maximum":[235,284],"approximately":[238,291],"18%":[239],"terms":[241],"Critical":[243],"Success":[244],"Index":[245],"was":[246],"context":[254],"truncating":[256],"coefficients":[258],"within":[259],"model":[262],"sequence":[266],"assimilation.":[272],"In":[273],"addition,":[274],"resulting":[280],"predictions":[281],"showed":[282],"reduction":[285],"mean":[287],"absolute":[288],"error":[289],"14%.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}