Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios
ABSTRACT Using daily output from 29 climate models provided by the Coupled Model Intercomparison Project Phase 5, we project signals in 12 extreme temperature indices and 12 extreme precipitation indices relative to 1986–2005 over China associated with a 2 °C global warming above pre‐industrial leve...
Gespeichert in:
Veröffentlicht in: | International journal of climatology 2018-04, Vol.38 (S1), p.e678-e697 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e697 |
---|---|
container_issue | S1 |
container_start_page | e678 |
container_title | International journal of climatology |
container_volume | 38 |
creator | Sui, Yue Lang, Xianmei Jiang, Dabang |
description | ABSTRACT
Using daily output from 29 climate models provided by the Coupled Model Intercomparison Project Phase 5, we project signals in 12 extreme temperature indices and 12 extreme precipitation indices relative to 1986–2005 over China associated with a 2 °C global warming above pre‐industrial levels under representative concentration pathways 4.5 (RCP4.5) and 8.5 (RCP8.5). The model output reflects the following projected changes: (1) It is robust and statistically significant that warm extremes are more frequent, more persistent, and more intense than those during the baseline period of 1986–2005, and local signals emerge from natural internal variability over most of China. In particular, southern China faces severe heat stress in summer based on warm extreme indices. (2) It is robust and statistically significant that there are fewer cold extremes in China. Most models show no significant changes in the longest duration and intensity of most cold extremes in southern China and northwest China. (3) The multi‐model median shows that more frequent and more intense wet extremes that deliver greater amounts of extreme precipitation occur in China, with a regional mean increase of 16.7–42.8 mm (8–42%) in total amount of annual wet extremes, but these changes are not significant and do not exceed natural internal variability over most of the country. Spatially, the Tibetan Plateau and northeast China have robust and significant changes in part of precipitation extremes, and some changes begin to emerge from natural internal variability at local scale. There are benefits to limiting global warming for China, including less frequent and less persistent warm extremes when comparing 1.5 °C with 2 °C of global warming and a later occurrence of significant changes in climate extremes when compared an intermediate mitigation scenario RCP4.5 with a high emission scenario RCP8.5.
The multi‐model median changes relative to the period 1986–2005 and signal‐to‐noise ratios for the annual warmest night (TNx, units: °C) over China associated with a 2 °C global warming as simulated by 29 CMIP5 models under RCP8.5. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is greater than 1.0, which is presented in colour with solid circles. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is less than 1.0, which is presented in colour with hollow circles. Less than 50% of models have a statistic |
doi_str_mv | 10.1002/joc.5399 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2030185068</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2030185068</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2939-608370850b59de3b2950fe99e87193d4b676fc281a3a352b99aae26490c6dd3d3</originalsourceid><addsrcrecordid>eNp1kE1OwzAQhS0EEqUgcQRLbNikjO0m8SxRxK8qtUKwjhzHaV2lcbFTQm_FGTgZCWXLajbf90bvEXLJYMIA-M3a6UksEI_IiAGmEYCUx2QEEjGSUyZPyVkIawBAZMmIuIV3a6NbU9Jgl42qA7UN1bXdqNZQ89l6szGBug_jabayjaIqBKetGozOtiuqKKffXxld1q5QNe2U39hmSXdN2Stt5-hLtqBBm0Z568I5Oan6J-bi747J2_3da_YYzeYPT9ntLNIcBUYJSJGCjKGIsTSi4BhDZRCNTBmKclokaVJpLpkSSsS8QFTK8GSKoJOyFKUYk6tD7ta7950Jbb52Oz_0yzkIYH10Invq-kBp70Lwpsq3vm_u9zmDfJizt3Q-zNmj0QHtbG32_3L58zz75X8Aafd2dg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2030185068</pqid></control><display><type>article</type><title>Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios</title><source>Wiley Online Library - AutoHoldings Journals</source><creator>Sui, Yue ; Lang, Xianmei ; Jiang, Dabang</creator><creatorcontrib>Sui, Yue ; Lang, Xianmei ; Jiang, Dabang</creatorcontrib><description>ABSTRACT
Using daily output from 29 climate models provided by the Coupled Model Intercomparison Project Phase 5, we project signals in 12 extreme temperature indices and 12 extreme precipitation indices relative to 1986–2005 over China associated with a 2 °C global warming above pre‐industrial levels under representative concentration pathways 4.5 (RCP4.5) and 8.5 (RCP8.5). The model output reflects the following projected changes: (1) It is robust and statistically significant that warm extremes are more frequent, more persistent, and more intense than those during the baseline period of 1986–2005, and local signals emerge from natural internal variability over most of China. In particular, southern China faces severe heat stress in summer based on warm extreme indices. (2) It is robust and statistically significant that there are fewer cold extremes in China. Most models show no significant changes in the longest duration and intensity of most cold extremes in southern China and northwest China. (3) The multi‐model median shows that more frequent and more intense wet extremes that deliver greater amounts of extreme precipitation occur in China, with a regional mean increase of 16.7–42.8 mm (8–42%) in total amount of annual wet extremes, but these changes are not significant and do not exceed natural internal variability over most of the country. Spatially, the Tibetan Plateau and northeast China have robust and significant changes in part of precipitation extremes, and some changes begin to emerge from natural internal variability at local scale. There are benefits to limiting global warming for China, including less frequent and less persistent warm extremes when comparing 1.5 °C with 2 °C of global warming and a later occurrence of significant changes in climate extremes when compared an intermediate mitigation scenario RCP4.5 with a high emission scenario RCP8.5.
The multi‐model median changes relative to the period 1986–2005 and signal‐to‐noise ratios for the annual warmest night (TNx, units: °C) over China associated with a 2 °C global warming as simulated by 29 CMIP5 models under RCP8.5. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is greater than 1.0, which is presented in colour with solid circles. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is less than 1.0, which is presented in colour with hollow circles. Less than 50% of models have a statistically significant signal, which is presented in colour only.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.5399</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>2 °C global warming ; China ; Climate ; Climate change ; Climate models ; Climatic extremes ; Duration ; Extreme cold ; Extreme weather ; Global warming ; Heat stress ; Heat tolerance ; Intercomparison ; Mitigation ; Precipitation ; precipitation extremes ; Rainfall ; Robustness ; signals ; signal‐to‐noise ratio ; Statistical analysis ; Statistical significance ; Temperature extremes ; Temperature index ; Variability</subject><ispartof>International journal of climatology, 2018-04, Vol.38 (S1), p.e678-e697</ispartof><rights>2018 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2939-608370850b59de3b2950fe99e87193d4b676fc281a3a352b99aae26490c6dd3d3</citedby><cites>FETCH-LOGICAL-c2939-608370850b59de3b2950fe99e87193d4b676fc281a3a352b99aae26490c6dd3d3</cites><orcidid>0000-0003-0756-0169</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.5399$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.5399$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Sui, Yue</creatorcontrib><creatorcontrib>Lang, Xianmei</creatorcontrib><creatorcontrib>Jiang, Dabang</creatorcontrib><title>Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios</title><title>International journal of climatology</title><description>ABSTRACT
Using daily output from 29 climate models provided by the Coupled Model Intercomparison Project Phase 5, we project signals in 12 extreme temperature indices and 12 extreme precipitation indices relative to 1986–2005 over China associated with a 2 °C global warming above pre‐industrial levels under representative concentration pathways 4.5 (RCP4.5) and 8.5 (RCP8.5). The model output reflects the following projected changes: (1) It is robust and statistically significant that warm extremes are more frequent, more persistent, and more intense than those during the baseline period of 1986–2005, and local signals emerge from natural internal variability over most of China. In particular, southern China faces severe heat stress in summer based on warm extreme indices. (2) It is robust and statistically significant that there are fewer cold extremes in China. Most models show no significant changes in the longest duration and intensity of most cold extremes in southern China and northwest China. (3) The multi‐model median shows that more frequent and more intense wet extremes that deliver greater amounts of extreme precipitation occur in China, with a regional mean increase of 16.7–42.8 mm (8–42%) in total amount of annual wet extremes, but these changes are not significant and do not exceed natural internal variability over most of the country. Spatially, the Tibetan Plateau and northeast China have robust and significant changes in part of precipitation extremes, and some changes begin to emerge from natural internal variability at local scale. There are benefits to limiting global warming for China, including less frequent and less persistent warm extremes when comparing 1.5 °C with 2 °C of global warming and a later occurrence of significant changes in climate extremes when compared an intermediate mitigation scenario RCP4.5 with a high emission scenario RCP8.5.
The multi‐model median changes relative to the period 1986–2005 and signal‐to‐noise ratios for the annual warmest night (TNx, units: °C) over China associated with a 2 °C global warming as simulated by 29 CMIP5 models under RCP8.5. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is greater than 1.0, which is presented in colour with solid circles. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is less than 1.0, which is presented in colour with hollow circles. Less than 50% of models have a statistically significant signal, which is presented in colour only.</description><subject>2 °C global warming</subject><subject>China</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climatic extremes</subject><subject>Duration</subject><subject>Extreme cold</subject><subject>Extreme weather</subject><subject>Global warming</subject><subject>Heat stress</subject><subject>Heat tolerance</subject><subject>Intercomparison</subject><subject>Mitigation</subject><subject>Precipitation</subject><subject>precipitation extremes</subject><subject>Rainfall</subject><subject>Robustness</subject><subject>signals</subject><subject>signal‐to‐noise ratio</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Temperature extremes</subject><subject>Temperature index</subject><subject>Variability</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kE1OwzAQhS0EEqUgcQRLbNikjO0m8SxRxK8qtUKwjhzHaV2lcbFTQm_FGTgZCWXLajbf90bvEXLJYMIA-M3a6UksEI_IiAGmEYCUx2QEEjGSUyZPyVkIawBAZMmIuIV3a6NbU9Jgl42qA7UN1bXdqNZQ89l6szGBug_jabayjaIqBKetGozOtiuqKKffXxld1q5QNe2U39hmSXdN2Stt5-hLtqBBm0Z568I5Oan6J-bi747J2_3da_YYzeYPT9ntLNIcBUYJSJGCjKGIsTSi4BhDZRCNTBmKclokaVJpLpkSSsS8QFTK8GSKoJOyFKUYk6tD7ta7950Jbb52Oz_0yzkIYH10Invq-kBp70Lwpsq3vm_u9zmDfJizt3Q-zNmj0QHtbG32_3L58zz75X8Aafd2dg</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Sui, Yue</creator><creator>Lang, Xianmei</creator><creator>Jiang, Dabang</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-0756-0169</orcidid></search><sort><creationdate>201804</creationdate><title>Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios</title><author>Sui, Yue ; Lang, Xianmei ; Jiang, Dabang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2939-608370850b59de3b2950fe99e87193d4b676fc281a3a352b99aae26490c6dd3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>2 °C global warming</topic><topic>China</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climatic extremes</topic><topic>Duration</topic><topic>Extreme cold</topic><topic>Extreme weather</topic><topic>Global warming</topic><topic>Heat stress</topic><topic>Heat tolerance</topic><topic>Intercomparison</topic><topic>Mitigation</topic><topic>Precipitation</topic><topic>precipitation extremes</topic><topic>Rainfall</topic><topic>Robustness</topic><topic>signals</topic><topic>signal‐to‐noise ratio</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Temperature extremes</topic><topic>Temperature index</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sui, Yue</creatorcontrib><creatorcontrib>Lang, Xianmei</creatorcontrib><creatorcontrib>Jiang, Dabang</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sui, Yue</au><au>Lang, Xianmei</au><au>Jiang, Dabang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios</atitle><jtitle>International journal of climatology</jtitle><date>2018-04</date><risdate>2018</risdate><volume>38</volume><issue>S1</issue><spage>e678</spage><epage>e697</epage><pages>e678-e697</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>ABSTRACT
Using daily output from 29 climate models provided by the Coupled Model Intercomparison Project Phase 5, we project signals in 12 extreme temperature indices and 12 extreme precipitation indices relative to 1986–2005 over China associated with a 2 °C global warming above pre‐industrial levels under representative concentration pathways 4.5 (RCP4.5) and 8.5 (RCP8.5). The model output reflects the following projected changes: (1) It is robust and statistically significant that warm extremes are more frequent, more persistent, and more intense than those during the baseline period of 1986–2005, and local signals emerge from natural internal variability over most of China. In particular, southern China faces severe heat stress in summer based on warm extreme indices. (2) It is robust and statistically significant that there are fewer cold extremes in China. Most models show no significant changes in the longest duration and intensity of most cold extremes in southern China and northwest China. (3) The multi‐model median shows that more frequent and more intense wet extremes that deliver greater amounts of extreme precipitation occur in China, with a regional mean increase of 16.7–42.8 mm (8–42%) in total amount of annual wet extremes, but these changes are not significant and do not exceed natural internal variability over most of the country. Spatially, the Tibetan Plateau and northeast China have robust and significant changes in part of precipitation extremes, and some changes begin to emerge from natural internal variability at local scale. There are benefits to limiting global warming for China, including less frequent and less persistent warm extremes when comparing 1.5 °C with 2 °C of global warming and a later occurrence of significant changes in climate extremes when compared an intermediate mitigation scenario RCP4.5 with a high emission scenario RCP8.5.
The multi‐model median changes relative to the period 1986–2005 and signal‐to‐noise ratios for the annual warmest night (TNx, units: °C) over China associated with a 2 °C global warming as simulated by 29 CMIP5 models under RCP8.5. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is greater than 1.0, which is presented in colour with solid circles. More than 80% of statistically significant models agree on the sign and signal‐to‐noise ratio is less than 1.0, which is presented in colour with hollow circles. Less than 50% of models have a statistically significant signal, which is presented in colour only.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.5399</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-0756-0169</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-8418 |
ispartof | International journal of climatology, 2018-04, Vol.38 (S1), p.e678-e697 |
issn | 0899-8418 1097-0088 |
language | eng |
recordid | cdi_proquest_journals_2030185068 |
source | Wiley Online Library - AutoHoldings Journals |
subjects | 2 °C global warming China Climate Climate change Climate models Climatic extremes Duration Extreme cold Extreme weather Global warming Heat stress Heat tolerance Intercomparison Mitigation Precipitation precipitation extremes Rainfall Robustness signals signal‐to‐noise ratio Statistical analysis Statistical significance Temperature extremes Temperature index Variability |
title | Projected signals in climate extremes over China associated with a 2 °C global warming under two RCP scenarios |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T07%3A12%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Projected%20signals%20in%20climate%20extremes%20over%20China%20associated%20with%20a%202%20%C2%B0C%20global%20warming%20under%20two%20RCP%20scenarios&rft.jtitle=International%20journal%20of%20climatology&rft.au=Sui,%20Yue&rft.date=2018-04&rft.volume=38&rft.issue=S1&rft.spage=e678&rft.epage=e697&rft.pages=e678-e697&rft.issn=0899-8418&rft.eissn=1097-0088&rft_id=info:doi/10.1002/joc.5399&rft_dat=%3Cproquest_cross%3E2030185068%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2030185068&rft_id=info:pmid/&rfr_iscdi=true |