{"id":"https://openalex.org/W4390100410","doi":"https://doi.org/10.1145/3589132.3625577","title":"High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale","display_name":"High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4390100410","doi":"https://doi.org/10.1145/3589132.3625577"},"language":"en","primary_location":{"id":"doi:10.1145/3589132.3625577","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3589132.3625577","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625577","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625577","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100409139","display_name":"Zhihao Wang","orcid":"https://orcid.org/0000-0002-2239-4077"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049041437","display_name":"Yiqun Xie","orcid":"https://orcid.org/0000-0002-6439-1333"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiqun Xie","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001445783","display_name":"Xiaowei Jia","orcid":"https://orcid.org/0000-0001-8544-5233"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaowei Jia","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061442466","display_name":"Lei Ma","orcid":"https://orcid.org/0000-0002-3959-4155"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031682856","display_name":"G. C. Hurtt","orcid":"https://orcid.org/0000-0001-7278-202X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Hurtt","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100409139"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.2223,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85582565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"109","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9448000192642212,"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/bottleneck","display_name":"Bottleneck","score":0.7061971426010132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6150785684585571},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.5871378779411316},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5504686236381531},{"id":"https://openalex.org/keywords/ecosystem-services","display_name":"Ecosystem services","score":0.5380503535270691},{"id":"https://openalex.org/keywords/ecosystem-model","display_name":"Ecosystem model","score":0.483965665102005},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.47764551639556885},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4569760262966156},{"id":"https://openalex.org/keywords/carbon-sequestration","display_name":"Carbon sequestration","score":0.43656057119369507},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42112284898757935},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41448450088500977},{"id":"https://openalex.org/keywords/environmental-resource-management","display_name":"Environmental resource management","score":0.36582785844802856},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3381509780883789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3115946054458618},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.24213334918022156},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1523541808128357},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09953248500823975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09700140357017517}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7061971426010132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6150785684585571},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.5871378779411316},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5504686236381531},{"id":"https://openalex.org/C58941895","wikidata":"https://www.wikidata.org/wiki/Q295865","display_name":"Ecosystem services","level":3,"score":0.5380503535270691},{"id":"https://openalex.org/C64107356","wikidata":"https://www.wikidata.org/wiki/Q295046","display_name":"Ecosystem model","level":3,"score":0.483965665102005},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.47764551639556885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4569760262966156},{"id":"https://openalex.org/C22884784","wikidata":"https://www.wikidata.org/wiki/Q15305550","display_name":"Carbon sequestration","level":3,"score":0.43656057119369507},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42112284898757935},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41448450088500977},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.36582785844802856},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3381509780883789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3115946054458618},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.24213334918022156},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1523541808128357},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09953248500823975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09700140357017517},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C530467964","wikidata":"https://www.wikidata.org/wiki/Q1997","display_name":"Carbon dioxide","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589132.3625577","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3589132.3625577","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625577","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589132.3625577","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3589132.3625577","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625577","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1242460129","display_name":null,"funder_award_id":"80NSSC22K1164","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G1664107387","display_name":null,"funder_award_id":"80NSSC22K116","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G1673391379","display_name":null,"funder_award_id":"80NSSC2","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G3198493938","display_name":null,"funder_award_id":"G21AC10207","funder_id":"https://openalex.org/F4320332183","funder_display_name":"U.S. Geological Survey"},{"id":"https://openalex.org/G327174889","display_name":null,"funder_award_id":"2147195","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4306948779","display_name":null,"funder_award_id":"80NSSC22K1","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G6418605821","display_name":null,"funder_award_id":"2105133","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6807396067","display_name":null,"funder_award_id":"80NSSC21K","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7002138997","display_name":null,"funder_award_id":"80NSSC21K0314","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7889451768","display_name":null,"funder_award_id":"2126474","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390100410.pdf","grobid_xml":"https://content.openalex.org/works/W4390100410.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1599300385","https://openalex.org/W2034235163","https://openalex.org/W2039780599","https://openalex.org/W2066577158","https://openalex.org/W2080481328","https://openalex.org/W2114193021","https://openalex.org/W2128950511","https://openalex.org/W2143612262","https://openalex.org/W2169027522","https://openalex.org/W2604847698","https://openalex.org/W2885354784","https://openalex.org/W2918362278","https://openalex.org/W2957030607","https://openalex.org/W2998135150","https://openalex.org/W3028823434","https://openalex.org/W3031175792","https://openalex.org/W3036372026","https://openalex.org/W3092923133","https://openalex.org/W3093565541","https://openalex.org/W3099751368","https://openalex.org/W3161501844","https://openalex.org/W3169470951","https://openalex.org/W3195041833","https://openalex.org/W4206905964","https://openalex.org/W4206948407","https://openalex.org/W4220918911","https://openalex.org/W4226345170","https://openalex.org/W4365394972"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W2143627031"],"abstract_inverted_index":{"Ecosystem":[0,36],"services,":[1],"such":[2],"as":[3],"carbon":[4],"sequestration,":[5],"biodiversity,":[6],"and":[7,30,33,108,137,154],"climate":[8,15,88],"regulation,":[9],"play":[10],"essential":[11],"roles":[12],"in":[13,26,58,111,144,157],"combating":[14],"change.":[16],"Projection":[17],"of":[18,152],"ecosystem":[19,46,159],"dynamics":[20,47],"under":[21],"various":[22],"scenarios":[23],"is":[24,40,93],"critical":[25],"understanding":[27],"potential":[28,156],"impacts":[29],"informing":[31],"policies":[32],"mitigation":[34],"strategies.":[35,141],"Demography":[37],"(ED)":[38],"model":[39,44,76,120],"a":[41,55,117,126],"major":[42,56],"mechanistic":[43],"for":[45],"projection,":[48],"but":[49],"its":[50,155],"computational":[51],"cost":[52,110],"has":[53],"been":[54],"bottleneck":[57],"performing":[59],"large-scale":[60,87,158],"(e.g.,":[61,102],"global,":[62],"national)":[63],"projections":[64],"at":[65,81],"very":[66],"high":[67,83,109,150],"spatial":[68],"resolution.":[69],"We":[70,115],"aim":[71],"to":[72,85,96,121],"approximate":[73],"the":[74,123,145,149],"ED":[75],"using":[77],"deep":[78,91],"neural":[79],"networks":[80],"operational":[82],"accuracy":[84,151],"assist":[86],"studies.":[89],"The":[90],"approximation":[92,119],"non-trivial":[94],"due":[95],"challenges":[97,124],"by":[98],"long-term":[99],"error":[100],"accumulation":[101],"40":[103],"years),":[104],"highly":[105],"diverse":[106],"scenarios,":[107],"training":[112],"data":[113],"generation.":[114],"propose":[116],"Deep-ED":[118,153],"address":[122],"with":[125],"multi-scale":[127],"cumulative":[128],"loss":[129],"reduction":[130],"structure,":[131],"significance-based":[132],"scenario":[133],"partitioning,":[134],"self-guided":[135],"forwarding,":[136],"physics-aware":[138],"active":[139],"learning":[140],"Experiment":[142],"results":[143],"northeastern":[146],"US":[147],"demonstrate":[148],"projection.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}