{"id":"https://openalex.org/W4322009786","doi":"https://doi.org/10.5194/egusphere-egu23-13429","title":"Effective Data Compression for Geosciences: An open-source solution to combat data storage challenges","display_name":"Effective Data Compression for Geosciences: An open-source solution to combat data storage challenges","publication_year":2023,"publication_date":"2023-02-26","ids":{"openalex":"https://openalex.org/W4322009786","doi":"https://doi.org/10.5194/egusphere-egu23-13429"},"language":"en","primary_location":{"id":"doi:10.5194/egusphere-egu23-13429","doi":"https://doi.org/10.5194/egusphere-egu23-13429","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/egusphere-egu23-13429","pdf_url":null,"source":{"id":"https://openalex.org/S4306508951","display_name":"EGU General Assembly Conference Abstracts","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"conference-abstract","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://dx.doi.org/10.5194/egusphere-egu23-13429","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007806857","display_name":"Oriol Tint\u00f3 Prims","orcid":"https://orcid.org/0000-0003-3182-3942","observed_orcids":["https://orcid.org/0000-0003-3182-3942"]},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oriol Tinto","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Meteorologisches Institut M\u00fcnchen, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3182-3942","affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Meteorologisches Institut M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076617976","display_name":"Robert Redl","orcid":"https://orcid.org/0000-0003-3055-7603","observed_orcids":["https://orcid.org/0000-0003-3055-7603"]},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robert Redl","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Fakult\u00e4t f\u00fcr Physik, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3055-7603","affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Fakult\u00e4t f\u00fcr Physik, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007806857","https://openalex.org/A5076617976"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9940999746322632,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9940999746322632,"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/T11269","display_name":"Algorithms and Data Compression","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/data-compression","display_name":"data compression","score":0.843999981880188},{"id":"https://openalex.org/keywords/geoscience-data","display_name":"geoscience data","score":0.9380000233650208},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"lossy compression","score":0.8529999852180481},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"lossless compression","score":0.7910000085830688},{"id":"https://openalex.org/keywords/meteorological-observations","display_name":"meteorological observations","score":0.699999988079071},{"id":"https://openalex.org/keywords/data-storage","display_name":"data storage","score":0.7080000042915344},{"id":"https://openalex.org/keywords/open-source-software","display_name":"open source software","score":0.949999988079071},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"compression ratio","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8720933198928833},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8032687306404114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461496591567993},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5953438878059387},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49370941519737244},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.49143946170806885},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.46563616394996643},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4653867781162262},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.451994925737381},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.41870203614234924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3636239469051361},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1665661633014679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09354543685913086},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.09224680066108704},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.09124070405960083},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08214795589447021},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5194/egusphere-egu23-13429","doi":"https://doi.org/10.5194/egusphere-egu23-13429","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/egusphere-egu23-13429","pdf_url":null,"source":{"id":"https://openalex.org/S4306508951","display_name":"EGU General Assembly Conference Abstracts","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.5194/egusphere-egu23-13429","doi":"https://doi.org/10.5194/egusphere-egu23-13429","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/egusphere-egu23-13429","pdf_url":null,"source":{"id":"https://openalex.org/S4306508951","display_name":"EGU General Assembly Conference Abstracts","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[{"score":0.685699999332428,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7220935065","https://openalex.org/W4405598373","https://openalex.org/W2991134150","https://openalex.org/W4220865505","https://openalex.org/W7135223320","https://openalex.org/W7135206661","https://openalex.org/W7160540307","https://openalex.org/W7167571246","https://openalex.org/W4200270861","https://openalex.org/W4408486982"],"abstract_inverted_index":{"Data":[0],"storage":[1,185],"is":[2],"a":[3,60,79,156,174],"critical":[4],"challenge":[5],"in":[6,65,134,167],"science":[7],"as":[8],"the":[9,89,140],"amount":[10],"of":[11,62,88,142],"data":[12,29,54,57,84,184],"being":[13],"generated":[14],"continues":[15],"to":[16,51,72,96,137],"increase.":[17],"Geosciences":[18],"and":[19,109,160,176],"weather":[20,169],"are":[21,32],"not":[22,129],"an":[23],"exception.":[24],"To":[25],"address":[26],"this":[27,56,105],"challenge,":[28],"reduction":[30],"techniques":[31],"required.":[33],"Even":[34],"though":[35],"lossless":[36],"compression":[37,75,119],"methods":[38,76,127],"might":[39],"sound":[40],"ideal,":[41],"they":[42,145],"don't":[43],"usually":[44],"work":[45],"that":[46,92,115,144,180],"well":[47],"when":[48],"it":[49,70,94],"comes":[50],"compressing":[52,82],"geoscience":[53,83],"because":[55],"often":[58],"has":[59],"lot":[61],"uncertainty":[63],"resulting":[64],"random":[66],"bits,":[67],"which":[68],"makes":[69],"hard":[71,95],"compress.":[73,97],"Lossy":[74],"can":[77,116],"do":[78],"better":[80],"job":[81],"by":[85],"getting":[86],"rid":[87],"insignificant":[90],"details":[91],"make":[93],"Hopefully,":[98],"research":[99],"groups":[100],"have":[101,110,128,172],"been":[102,131],"working":[103],"on":[104],"problem":[106],"for":[107],"years":[108],"published":[111],"open":[112,151],"source":[113,152],"tools":[114],"provide":[117],"high":[118],"ratios":[120],"with":[121],"acceptable":[122],"error":[123],"levels.":[124],"However,":[125],"these":[126,149],"yet":[130],"widely":[132],"adopted":[133],"geosciences":[135],"due":[136],"concerns":[138],"about":[139],"loss":[141],"information":[143],"entail.":[146],"By":[147],"combining":[148],"best":[150],"lossy":[153],"compressors":[154],"into":[155],"single":[157],"easy-to-use":[158],"package":[159],"showing":[161],"its":[162,165],"effectiveness":[163],"through":[164],"use":[166],"several":[168],"applications,":[170],"we":[171],"created":[173],"powerful":[175],"user-friendly":[177],"open-source":[178],"tool":[179],"effectively":[181],"helps":[182],"reduce":[183],"needs":[186],"while":[187],"preserving":[188],"scientific":[189],"conclusions.":[190]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2023-02-26T00:00:00"}
