Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble Article Swipe
Fei Ge
,
Shoupeng Zhu
,
Haolin Luo
,
Xiefei Zhi
,
Hao Wang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1748-9326/abd7ad
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1748-9326/abd7ad
Past assessments of coupled climate models have indicated that precipitation extremes are expected to intensify over Southeast Asia (SEA) under the global warming. Here, we use outputs from 15 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to evaluate projected changes in precipitation extremes for SEA at the end of the 21st century. The results suggest that CMIP6 multi-model ensemble medians show better performances in characterizing precipitation extremes than individual models. Projected changes in precipitation extremes linked to rising greenhouse gas (GHG) emissions (represented by the latest proposed Shared Socioeconomic Pathways) increase significantly over the Indochina Peninsula and the Maritime Continent. Substantial changes in the number of very heavy precipitation days (R20mm) and the intensity of daily precipitation (SDII) indicate that such locally heavy rainfall is likely to occur over a short time and that more precipitation extremes over SEA are probable in a warmer future. This is consistent with projections from the Coordinated Regional Downscaling Experiment and CMIP5 models. The present study reveals the high sensitivity of the precipitation extremes over SEA, and highlights the importance of constrained anthropogenic GHG emissions in an ambitious mitigation scenario.
Related Topics
Concepts
Coupled model intercomparison project
Precipitation
Climatology
Downscaling
Environmental science
Climate model
Greenhouse gas
Climate extremes
Climate change
Meteorology
Geography
Oceanography
Geology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1748-9326/abd7ad
- OA Status
- gold
- Cited By
- 154
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3113703861
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3113703861Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1748-9326/abd7adDigital Object Identifier
- Title
-
Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensembleWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-31Full publication date if available
- Authors
-
Fei Ge, Shoupeng Zhu, Haolin Luo, Xiefei Zhi, Hao WangList of authors in order
- Landing page
-
https://doi.org/10.1088/1748-9326/abd7adPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1748-9326/abd7adDirect OA link when available
- Concepts
-
Coupled model intercomparison project, Precipitation, Climatology, Downscaling, Environmental science, Climate model, Greenhouse gas, Climate extremes, Climate change, Meteorology, Geography, Oceanography, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
154Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 32, 2024: 36, 2023: 39, 2022: 36, 2021: 11Per-year citation counts (last 5 years)
- References (count)
-
73Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3113703861 |
|---|---|
| doi | https://doi.org/10.1088/1748-9326/abd7ad |
| ids.doi | https://doi.org/10.1088/1748-9326/abd7ad |
| ids.mag | 3113703861 |
| ids.openalex | https://openalex.org/W3113703861 |
| fwci | 8.52838329 |
| type | article |
| title | Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble |
| biblio.issue | 2 |
| biblio.volume | 16 |
| biblio.last_page | 024013 |
| biblio.first_page | 024013 |
| grants[0].funder | https://openalex.org/F4320321001 |
| grants[0].award_id | 41805056 and U20A2097 |
| grants[0].funder_display_name | National Natural Science Foundation of China |
| topics[0].id | https://openalex.org/T10029 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Climate variability and models |
| topics[1].id | https://openalex.org/T10466 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9977999925613403 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1902 |
| topics[1].subfield.display_name | Atmospheric Science |
| topics[1].display_name | Meteorological Phenomena and Simulations |
| topics[2].id | https://openalex.org/T11588 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.996999979019165 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2306 |
| topics[2].subfield.display_name | Global and Planetary Change |
| topics[2].display_name | Atmospheric and Environmental Gas Dynamics |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 1550 |
| apc_list.currency | GBP |
| apc_list.value_usd | 1901 |
| apc_paid.value | 1550 |
| apc_paid.currency | GBP |
| apc_paid.value_usd | 1901 |
| concepts[0].id | https://openalex.org/C25022447 |
| concepts[0].level | 4 |
| concepts[0].score | 0.8395516872406006 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5178021 |
| concepts[0].display_name | Coupled model intercomparison project |
| concepts[1].id | https://openalex.org/C107054158 |
| concepts[1].level | 2 |
| concepts[1].score | 0.8185669183731079 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q25257 |
| concepts[1].display_name | Precipitation |
| concepts[2].id | https://openalex.org/C49204034 |
| concepts[2].level | 1 |
| concepts[2].score | 0.7866842746734619 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q52139 |
| concepts[2].display_name | Climatology |
| concepts[3].id | https://openalex.org/C41156917 |
| concepts[3].level | 3 |
| concepts[3].score | 0.7492237687110901 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q682831 |
| concepts[3].display_name | Downscaling |
| concepts[4].id | https://openalex.org/C39432304 |
| concepts[4].level | 0 |
| concepts[4].score | 0.7461565136909485 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[4].display_name | Environmental science |
| concepts[5].id | https://openalex.org/C168754636 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5669494867324829 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q620920 |
| concepts[5].display_name | Climate model |
| concepts[6].id | https://openalex.org/C47737302 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5028064250946045 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q167336 |
| concepts[6].display_name | Greenhouse gas |
| concepts[7].id | https://openalex.org/C2993643576 |
| concepts[7].level | 3 |
| concepts[7].score | 0.4499017000198364 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1277161 |
| concepts[7].display_name | Climate extremes |
| concepts[8].id | https://openalex.org/C132651083 |
| concepts[8].level | 2 |
| concepts[8].score | 0.44675588607788086 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7942 |
| concepts[8].display_name | Climate change |
| concepts[9].id | https://openalex.org/C153294291 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2462981641292572 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[9].display_name | Meteorology |
| concepts[10].id | https://openalex.org/C205649164 |
| concepts[10].level | 0 |
| concepts[10].score | 0.1691361963748932 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[10].display_name | Geography |
| concepts[11].id | https://openalex.org/C111368507 |
| concepts[11].level | 1 |
| concepts[11].score | 0.11029267311096191 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q43518 |
| concepts[11].display_name | Oceanography |
| concepts[12].id | https://openalex.org/C127313418 |
| concepts[12].level | 0 |
| concepts[12].score | 0.10249251127243042 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[12].display_name | Geology |
| keywords[0].id | https://openalex.org/keywords/coupled-model-intercomparison-project |
| keywords[0].score | 0.8395516872406006 |
| keywords[0].display_name | Coupled model intercomparison project |
| keywords[1].id | https://openalex.org/keywords/precipitation |
| keywords[1].score | 0.8185669183731079 |
| keywords[1].display_name | Precipitation |
| keywords[2].id | https://openalex.org/keywords/climatology |
| keywords[2].score | 0.7866842746734619 |
| keywords[2].display_name | Climatology |
| keywords[3].id | https://openalex.org/keywords/downscaling |
| keywords[3].score | 0.7492237687110901 |
| keywords[3].display_name | Downscaling |
| keywords[4].id | https://openalex.org/keywords/environmental-science |
| keywords[4].score | 0.7461565136909485 |
| keywords[4].display_name | Environmental science |
| keywords[5].id | https://openalex.org/keywords/climate-model |
| keywords[5].score | 0.5669494867324829 |
| keywords[5].display_name | Climate model |
| keywords[6].id | https://openalex.org/keywords/greenhouse-gas |
| keywords[6].score | 0.5028064250946045 |
| keywords[6].display_name | Greenhouse gas |
| keywords[7].id | https://openalex.org/keywords/climate-extremes |
| keywords[7].score | 0.4499017000198364 |
| keywords[7].display_name | Climate extremes |
| keywords[8].id | https://openalex.org/keywords/climate-change |
| keywords[8].score | 0.44675588607788086 |
| keywords[8].display_name | Climate change |
| keywords[9].id | https://openalex.org/keywords/meteorology |
| keywords[9].score | 0.2462981641292572 |
| keywords[9].display_name | Meteorology |
| keywords[10].id | https://openalex.org/keywords/geography |
| keywords[10].score | 0.1691361963748932 |
| keywords[10].display_name | Geography |
| keywords[11].id | https://openalex.org/keywords/oceanography |
| keywords[11].score | 0.11029267311096191 |
| keywords[11].display_name | Oceanography |
| keywords[12].id | https://openalex.org/keywords/geology |
| keywords[12].score | 0.10249251127243042 |
| keywords[12].display_name | Geology |
| language | en |
| locations[0].id | doi:10.1088/1748-9326/abd7ad |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S139338987 |
| locations[0].source.issn | 1748-9326 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1748-9326 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Environmental Research Letters |
| locations[0].source.host_organization | https://openalex.org/P4310320083 |
| locations[0].source.host_organization_name | IOP Publishing |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320083 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Environmental Research Letters |
| locations[0].landing_page_url | https://doi.org/10.1088/1748-9326/abd7ad |
| locations[1].id | pmh:oai:doaj.org/article:bb8d49186bbb4659b6bf5ca7e35dfc8b |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].source.host_organization_lineage | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Environmental Research Letters, Vol 16, Iss 2, p 024013 (2021) |
| locations[1].landing_page_url | https://doaj.org/article/bb8d49186bbb4659b6bf5ca7e35dfc8b |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5037929429 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1654-2272 |
| authorships[0].author.display_name | Fei Ge |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I200845125 |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I24201400 |
| authorships[0].affiliations[1].raw_affiliation_string | School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu, People's Republic of China |
| authorships[0].affiliations[2].raw_affiliation_string | Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[0].institutions[0].id | https://openalex.org/I24201400 |
| authorships[0].institutions[0].ror | https://ror.org/01yxwrh59 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I24201400 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Chengdu University of Information Technology |
| authorships[0].institutions[1].id | https://openalex.org/I200845125 |
| authorships[0].institutions[1].ror | https://ror.org/02y0rxk19 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I200845125 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Nanjing University of Information Science and Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Fei Ge |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China, School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu, People's Republic of China, Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[1].author.id | https://openalex.org/A5021868931 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4741-1179 |
| authorships[1].author.display_name | Shoupeng Zhu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I200845125 |
| authorships[1].affiliations[0].raw_affiliation_string | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China |
| authorships[1].affiliations[1].raw_affiliation_string | Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[1].institutions[0].id | https://openalex.org/I200845125 |
| authorships[1].institutions[0].ror | https://ror.org/02y0rxk19 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I200845125 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Nanjing University of Information Science and Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shoupeng Zhu |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China, Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[2].author.id | https://openalex.org/A5078967776 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Haolin Luo |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I24201400 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu, People's Republic of China |
| authorships[2].institutions[0].id | https://openalex.org/I24201400 |
| authorships[2].institutions[0].ror | https://ror.org/01yxwrh59 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I24201400 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chengdu University of Information Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Haolin Luo |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Joint Laboratory of Climate and Environment Change, Chengdu University of Information Technology, Chengdu, People's Republic of China |
| authorships[3].author.id | https://openalex.org/A5058057953 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-4414-0497 |
| authorships[3].author.display_name | Xiefei Zhi |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I200845125 |
| authorships[3].affiliations[0].raw_affiliation_string | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China |
| authorships[3].affiliations[1].raw_affiliation_string | Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[3].institutions[0].id | https://openalex.org/I200845125 |
| authorships[3].institutions[0].ror | https://ror.org/02y0rxk19 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I200845125 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Nanjing University of Information Science and Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Xiefei Zhi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Key Laboratory of Meteorological Disasters, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China, Weather Online Institute of Meteorological Applications, Wuxi, People's Republic of China |
| authorships[4].author.id | https://openalex.org/A5080102032 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7594-7387 |
| authorships[4].author.display_name | Hao Wang |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I24201400 |
| authorships[4].affiliations[0].raw_affiliation_string | College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu, People's Republic of China |
| authorships[4].institutions[0].id | https://openalex.org/I24201400 |
| authorships[4].institutions[0].ror | https://ror.org/01yxwrh59 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I24201400 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Chengdu University of Information Technology |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Hao Wang |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu, People's Republic of China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1088/1748-9326/abd7ad |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10029 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Climate variability and models |
| related_works | https://openalex.org/W2954456231, https://openalex.org/W2031782830, https://openalex.org/W3082384766, https://openalex.org/W2977614893, https://openalex.org/W4249786922, https://openalex.org/W2508500253, https://openalex.org/W2007102029, https://openalex.org/W4394807491, https://openalex.org/W2057346367, https://openalex.org/W4211134297 |
| cited_by_count | 154 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 32 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 36 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 39 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 36 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 11 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1088/1748-9326/abd7ad |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S139338987 |
| best_oa_location.source.issn | 1748-9326 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1748-9326 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Environmental Research Letters |
| best_oa_location.source.host_organization | https://openalex.org/P4310320083 |
| best_oa_location.source.host_organization_name | IOP Publishing |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320083 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Environmental Research Letters |
| best_oa_location.landing_page_url | https://doi.org/10.1088/1748-9326/abd7ad |
| primary_location.id | doi:10.1088/1748-9326/abd7ad |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S139338987 |
| primary_location.source.issn | 1748-9326 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1748-9326 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Environmental Research Letters |
| primary_location.source.host_organization | https://openalex.org/P4310320083 |
| primary_location.source.host_organization_name | IOP Publishing |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320083 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Environmental Research Letters |
| primary_location.landing_page_url | https://doi.org/10.1088/1748-9326/abd7ad |
| publication_date | 2020-12-31 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W3081713732, https://openalex.org/W1972946703, https://openalex.org/W3030446301, https://openalex.org/W2795257752, https://openalex.org/W2914799564, https://openalex.org/W3005907556, https://openalex.org/W3035482901, https://openalex.org/W2368541134, https://openalex.org/W2193503481, https://openalex.org/W3048190739, https://openalex.org/W2792591325, https://openalex.org/W2248056035, https://openalex.org/W2908678253, https://openalex.org/W2911362785, https://openalex.org/W1996478169, https://openalex.org/W2997317025, https://openalex.org/W2790572426, https://openalex.org/W2973173718, https://openalex.org/W3014082016, https://openalex.org/W2799735764, https://openalex.org/W2211235357, https://openalex.org/W2122511023, https://openalex.org/W2269512136, https://openalex.org/W1588713494, https://openalex.org/W3009925096, https://openalex.org/W2791351209, https://openalex.org/W2003563859, https://openalex.org/W3026582775, https://openalex.org/W3021378189, https://openalex.org/W2167622596, https://openalex.org/W2766597251, https://openalex.org/W2572902395, https://openalex.org/W139488490, https://openalex.org/W2064784699, https://openalex.org/W2523099758, https://openalex.org/W2805954170, https://openalex.org/W3013131865, https://openalex.org/W2787983611, https://openalex.org/W2337225114, https://openalex.org/W2126762186, https://openalex.org/W2272889908, https://openalex.org/W3047424265, https://openalex.org/W2079206203, https://openalex.org/W2982338710, https://openalex.org/W2620427999, https://openalex.org/W1524420836, https://openalex.org/W1791484930, https://openalex.org/W2910614412, https://openalex.org/W2981218717, https://openalex.org/W3011197354, https://openalex.org/W2011508872, https://openalex.org/W2946491085, https://openalex.org/W3034695376, https://openalex.org/W2604258022, https://openalex.org/W2072128221, https://openalex.org/W2067239917, https://openalex.org/W3025733689, https://openalex.org/W2150897391, https://openalex.org/W2142021968, https://openalex.org/W2078852068, https://openalex.org/W3037114145, https://openalex.org/W1970103377, https://openalex.org/W2886437247, https://openalex.org/W2021530952, https://openalex.org/W2048273455, https://openalex.org/W3000603233, https://openalex.org/W3046644258, https://openalex.org/W2778631404, https://openalex.org/W3025644438, https://openalex.org/W2530121532, https://openalex.org/W1598828946, https://openalex.org/W2494351967, https://openalex.org/W2344569042 |
| referenced_works_count | 73 |
| abstract_inverted_index.6 | 39 |
| abstract_inverted_index.a | 134, 147 |
| abstract_inverted_index.15 | 29 |
| abstract_inverted_index.an | 187 |
| abstract_inverted_index.at | 50 |
| abstract_inverted_index.by | 88 |
| abstract_inverted_index.in | 45, 68, 77, 107, 146, 186 |
| abstract_inverted_index.is | 129, 151 |
| abstract_inverted_index.of | 3, 53, 110, 119, 171, 181 |
| abstract_inverted_index.to | 14, 41, 81, 131 |
| abstract_inverted_index.we | 25 |
| abstract_inverted_index.GHG | 184 |
| abstract_inverted_index.SEA | 49, 143 |
| abstract_inverted_index.The | 57, 164 |
| abstract_inverted_index.and | 101, 116, 137, 161, 177 |
| abstract_inverted_index.are | 12, 144 |
| abstract_inverted_index.end | 52 |
| abstract_inverted_index.for | 48 |
| abstract_inverted_index.gas | 84 |
| abstract_inverted_index.the | 21, 33, 51, 54, 89, 98, 102, 108, 117, 156, 168, 172, 179 |
| abstract_inverted_index.use | 26 |
| abstract_inverted_index.21st | 55 |
| abstract_inverted_index.Asia | 18 |
| abstract_inverted_index.Past | 1 |
| abstract_inverted_index.SEA, | 176 |
| abstract_inverted_index.This | 150 |
| abstract_inverted_index.days | 114 |
| abstract_inverted_index.from | 28, 32, 155 |
| abstract_inverted_index.have | 7 |
| abstract_inverted_index.high | 169 |
| abstract_inverted_index.more | 139 |
| abstract_inverted_index.over | 16, 97, 133, 142, 175 |
| abstract_inverted_index.show | 65 |
| abstract_inverted_index.such | 125 |
| abstract_inverted_index.than | 72 |
| abstract_inverted_index.that | 9, 60, 124, 138 |
| abstract_inverted_index.time | 136 |
| abstract_inverted_index.very | 111 |
| abstract_inverted_index.with | 153 |
| abstract_inverted_index.(GHG) | 85 |
| abstract_inverted_index.(SEA) | 19 |
| abstract_inverted_index.CMIP5 | 162 |
| abstract_inverted_index.CMIP6 | 61 |
| abstract_inverted_index.Here, | 24 |
| abstract_inverted_index.Model | 35 |
| abstract_inverted_index.Phase | 38 |
| abstract_inverted_index.daily | 120 |
| abstract_inverted_index.heavy | 112, 127 |
| abstract_inverted_index.occur | 132 |
| abstract_inverted_index.short | 135 |
| abstract_inverted_index.study | 166 |
| abstract_inverted_index.under | 20 |
| abstract_inverted_index.(SDII) | 122 |
| abstract_inverted_index.Shared | 92 |
| abstract_inverted_index.better | 66 |
| abstract_inverted_index.global | 22 |
| abstract_inverted_index.latest | 90 |
| abstract_inverted_index.likely | 130 |
| abstract_inverted_index.linked | 80 |
| abstract_inverted_index.models | 6, 31 |
| abstract_inverted_index.number | 109 |
| abstract_inverted_index.rising | 82 |
| abstract_inverted_index.warmer | 148 |
| abstract_inverted_index.(CMIP6) | 40 |
| abstract_inverted_index.(R20mm) | 115 |
| abstract_inverted_index.Coupled | 34 |
| abstract_inverted_index.Project | 37 |
| abstract_inverted_index.changes | 44, 76, 106 |
| abstract_inverted_index.climate | 5, 30 |
| abstract_inverted_index.coupled | 4 |
| abstract_inverted_index.future. | 149 |
| abstract_inverted_index.locally | 126 |
| abstract_inverted_index.medians | 64 |
| abstract_inverted_index.models. | 74, 163 |
| abstract_inverted_index.outputs | 27 |
| abstract_inverted_index.present | 165 |
| abstract_inverted_index.results | 58 |
| abstract_inverted_index.reveals | 167 |
| abstract_inverted_index.suggest | 59 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Maritime | 103 |
| abstract_inverted_index.Regional | 158 |
| abstract_inverted_index.century. | 56 |
| abstract_inverted_index.ensemble | 63 |
| abstract_inverted_index.evaluate | 42 |
| abstract_inverted_index.expected | 13 |
| abstract_inverted_index.extremes | 11, 47, 71, 79, 141, 174 |
| abstract_inverted_index.increase | 95 |
| abstract_inverted_index.indicate | 123 |
| abstract_inverted_index.probable | 145 |
| abstract_inverted_index.proposed | 91 |
| abstract_inverted_index.rainfall | 128 |
| abstract_inverted_index.warming. | 23 |
| abstract_inverted_index.Indochina | 99 |
| abstract_inverted_index.Pathways) | 94 |
| abstract_inverted_index.Peninsula | 100 |
| abstract_inverted_index.Projected | 75 |
| abstract_inverted_index.Southeast | 17 |
| abstract_inverted_index.ambitious | 188 |
| abstract_inverted_index.emissions | 86, 185 |
| abstract_inverted_index.indicated | 8 |
| abstract_inverted_index.intensify | 15 |
| abstract_inverted_index.intensity | 118 |
| abstract_inverted_index.projected | 43 |
| abstract_inverted_index.scenario. | 190 |
| abstract_inverted_index.Continent. | 104 |
| abstract_inverted_index.Experiment | 160 |
| abstract_inverted_index.consistent | 152 |
| abstract_inverted_index.greenhouse | 83 |
| abstract_inverted_index.highlights | 178 |
| abstract_inverted_index.importance | 180 |
| abstract_inverted_index.individual | 73 |
| abstract_inverted_index.mitigation | 189 |
| abstract_inverted_index.Coordinated | 157 |
| abstract_inverted_index.Downscaling | 159 |
| abstract_inverted_index.Substantial | 105 |
| abstract_inverted_index.assessments | 2 |
| abstract_inverted_index.constrained | 182 |
| abstract_inverted_index.multi-model | 62 |
| abstract_inverted_index.projections | 154 |
| abstract_inverted_index.sensitivity | 170 |
| abstract_inverted_index.(represented | 87 |
| abstract_inverted_index.performances | 67 |
| abstract_inverted_index.Socioeconomic | 93 |
| abstract_inverted_index.anthropogenic | 183 |
| abstract_inverted_index.precipitation | 10, 46, 70, 78, 113, 121, 140, 173 |
| abstract_inverted_index.significantly | 96 |
| abstract_inverted_index.characterizing | 69 |
| abstract_inverted_index.Intercomparison | 36 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5021868931 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I200845125 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.98361149 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |