{"doi":"10.1002/2016gl070838","title":"Remote determinations on fumarole outlet temperatures in an eruptive volcano","abstract":"<jats:title>Abstract</jats:title><jats:p>Direct measurement of the fumarole outlet temperature in active volcanoes is impractical. Therefore, we used an aircraft to sample H<jats:sub>2</jats:sub> in the volcanic plume ejected from Sakurajima volcano to remotely estimate the highest fumarolic temperatures of the volcano based on hydrogen isotopic fractionation between H<jats:sub>2</jats:sub> and magmatic H<jats:sub>2</jats:sub>O. We successfully estimated that the δD of the fumarolic H<jats:sub>2</jats:sub> in September and December 2014 was −135 ± 13‰ and −113 ± 11‰, respectively, and that the corresponding highest outlet temperatures were 1050 ± 120°C and 1199 ± 139°C. Although the temperatures were higher than those determined by using infrared remote sensing, we concluded that they are more reliable estimates of the highest fumarole outlet temperatures. Combined with plume sampling by using aircraft, remote temperature sensing based on the δD of H<jats:sub>2</jats:sub> in volcanic plumes can be widely applied to active volcanoes to determine the highest fumarole outlet temperatures.</jats:p>","journal":"Geophysical Research Letters","year":2016,"id":29899,"datarank":0.3379213691483606,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.008337682547927617,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.008337682547927617,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":3,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":74360,"name":"Lin Cheng","orcid":"0000-0001-5694-7218","position":1,"is_corresponding":false},{"id":163715,"name":"Masanori Ito","orcid":"0000-0001-6202-3185","position":2,"is_corresponding":false},{"id":163717,"name":"Daisuke D. Komatsu","orcid":null,"position":3,"is_corresponding":false},{"id":163719,"name":"Fumiko Nakagawa","orcid":null,"position":4,"is_corresponding":false},{"id":163721,"name":"Hiroshi Shinohara","orcid":"0000-0002-8412-9180","position":5,"is_corresponding":false},{"id":163713,"name":"Urumu Tsunogai","orcid":"0000-0002-1517-3284","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24523987","pmcid":null,"openalex_id":"https://openalex.org/W2582665697","authors":[],"funders":[{"funder_name":"MEXT Scientific Research Program","grant_id":"26610181","title":null},{"funder_name":"MEXT Scientific Research Program","grant_id":"26241006","title":null}],"total_grants":2,"fwci":0.4552,"citation_percentile":0.71512635,"influential_citations":0,"citation_trend":[{"year":2016,"count":1},{"year":2019,"count":1},{"year":2020,"count":1},{"year":2021,"count":2},{"year":2022,"count":1},{"year":2024,"count":1},{"year":2026,"count":1}],"oa_status":"hybrid","license":"cc-by-nc-nd","oa_locations":[{"url":"https://doi.org/10.1002/2016gl070838","host_type":"journal"},{"url":"https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/2016GL070838","host_type":"HYBRID"},{"url":"https://doi.org/10.1002/2016gl070838","host_type":"publisher"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F2016GL070838","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016GL070838","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/2016GL070838","host_type":"publisher"},{"url":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016GL070838","host_type":"publisher"},{"url":"https://nagoya.repo.nii.ac.jp/records/23119","host_type":"repository"}],"fields_of_study":["Atmospheric and Environmental Gas Dynamics","Atmospheric Ozone and Climate","Meteorological Phenomena and Simulations","Geology","Environmental Science"],"mesh_terms":[],"keywords":["Fumarole","Volcano","Plume","Geology","Panache","Atmospheric sciences","Environmental science","Remote sensing","Mineralogy","Meteorology","Geochemistry","Geography"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-09T01:07:39.932164Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}