{"id":"https://openalex.org/W3137202351","doi":"https://doi.org/10.1109/bigdata50022.2020.9378100","title":"Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package","display_name":"Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python package","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137202351","doi":"https://doi.org/10.1109/bigdata50022.2020.9378100","mag":"3137202351"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5025381250","display_name":"Alexander Pinard","orcid":"https://orcid.org/0009-0001-8645-7532"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Pinard","raw_affiliation_strings":["Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050498512","display_name":"Dorit Hammerling","orcid":"https://orcid.org/0000-0003-3583-3611"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dorit M. Hammerling","raw_affiliation_strings":["Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067337048","display_name":"Allison H. Baker","orcid":"https://orcid.org/0000-0003-2436-7838"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allison H. Baker","raw_affiliation_strings":["Computational and Information Systems Lab, National Center for Atmospheric Research, Boulder, CO"],"affiliations":[{"raw_affiliation_string":"Computational and Information Systems Lab, National Center for Atmospheric Research, Boulder, CO","institution_ids":["https://openalex.org/I107766831"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025381250"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":0.7709,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75626909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2699","last_page":"2707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8952544927597046},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8815467357635498},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7813627123832703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7678626179695129},{"id":"https://openalex.org/keywords/interoperability","display_name":"Interoperability","score":0.7676538228988647},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6192745566368103},{"id":"https://openalex.org/keywords/climate-model","display_name":"Climate model","score":0.5309186577796936},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5139272212982178},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48070794343948364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4493294060230255},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43440553545951843},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.37839025259017944},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26371127367019653},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14372402429580688},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1304827630519867},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12041240930557251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11046627163887024}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8952544927597046},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8815467357635498},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7813627123832703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678626179695129},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.7676538228988647},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6192745566368103},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.5309186577796936},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5139272212982178},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48070794343948364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4493294060230255},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43440553545951843},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.37839025259017944},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26371127367019653},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14372402429580688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1304827630519867},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12041240930557251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11046627163887024},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W28625479","https://openalex.org/W1968011005","https://openalex.org/W1973657321","https://openalex.org/W1992579369","https://openalex.org/W2052440657","https://openalex.org/W2081242509","https://openalex.org/W2125634634","https://openalex.org/W2133665775","https://openalex.org/W2142265837","https://openalex.org/W2146713313","https://openalex.org/W2152526135","https://openalex.org/W2160497360","https://openalex.org/W2486202470","https://openalex.org/W2490233347","https://openalex.org/W2741341431","https://openalex.org/W2766438018","https://openalex.org/W2957966040","https://openalex.org/W3005299115","https://openalex.org/W3083639242","https://openalex.org/W3105622770","https://openalex.org/W6948667257"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W4210455546"],"abstract_inverted_index":{"Output":[0],"data":[1,21,68,129,158],"from":[2],"modern":[3],"Earth":[4],"system":[5],"model":[6,20],"simulations":[7],"are":[8],"consuming":[9],"increasingly":[10],"massive":[11],"amounts":[12],"of":[13,51,54,88,111,127,154,169,212],"storage":[14],"resources,":[15],"and":[16,56,133,202],"storing":[17],"these":[18],"climate":[19,100,119,199,217],"is":[22,106,116,149],"not":[23],"economically":[24],"sustainable.":[25],"Previous":[26],"works":[27],"have":[28],"motivated":[29],"lossy":[30,128,213],"compression":[31,39,130,214],"as":[32,95],"a":[33,52,79],"potential":[34],"solution,":[35],"which":[36,205],"achieves":[37],"greater":[38],"ratios":[40],"than":[41],"lossless":[42],"compression.":[43],"This":[44],"further":[45],"reduction":[46],"comes":[47],"at":[48],"the":[49,67,86,103,109,112,125,144,152,161,170,193,210,216],"cost":[50],"loss":[53],"information,":[55],"therefore,":[57],"care":[58],"must":[59],"be":[60],"taken":[61],"to":[62,83,108,117,121,143],"avoid":[63],"introducing":[64],"artifacts":[65],"in":[66,85,90,160,174],"that":[69,138,192],"could":[70],"affect":[71],"scientific":[72,157],"conclusions.":[73],"In":[74],"this":[75,164],"paper":[76],"we":[77,206],"introduce":[78],"Python":[80,148,171],"package":[81,105,166,195],"designed":[82],"aid":[84],"analysis":[87,159,203],"differences":[89],"large":[91],"spatio-temporal":[92],"datasets,":[93],"such":[94],"those":[96],"produced":[97],"by":[98,131],"global":[99],"models.":[101],"While":[102],"new":[104,165,194],"agnostic":[107],"source":[110],"differences,":[113],"our":[114],"motivation":[115],"enable":[118],"scientists":[120],"more":[122],"easily":[123,196],"assess":[124],"effects":[126],"visualizing":[132],"computing":[134],"derived":[135],"spatial-temporal":[136],"quantities":[137],"compare":[139],"lossily":[140],"compressed":[141],"datasets":[142],"original":[145],"dataset.":[146],"Because":[147],"quickly":[150],"becoming":[151],"tool":[153],"choice":[155],"for":[156,181],"geoscience":[162],"community,":[163],"makes":[167],"use":[168],"software":[172,189],"stack":[173],"Pangeo":[175,188],"(an":[176],"active":[177],"NSF-funded":[178],"community":[179],"platform":[180],"Big":[182],"Data":[183],"geoscience).":[184],"Interoperability":[185],"with":[186],"other":[187],"tools":[190],"means":[191],"integrates":[197],"into":[198,215],"scientists'":[200],"post-processing":[201],"workflows,":[204],"hope":[207],"will":[208],"facilitate":[209],"adoption":[211],"modeling":[218],"community.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
