Record-breaking High-temperature Outlook for 2023: An Assessment Based on the China Global Merged Temperature (CMST) Dataset
According to the latest version (version 2.0) of the China global Merged Surface Temperature (CMST2.0) dataset, the global mean surface temperature (GMST) in the first half of 2023 reached its third warmest value since the period of instrumental observation began, being only slightly lower than the...
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| Veröffentlicht in: | Advances in atmospheric sciences 2024-02, Vol.41 (2), p.369-376 |
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| creator | Li, Zichen Li, Qingxiang Chen, Tianyi |
| description | According to the latest version (version 2.0) of the China global Merged Surface Temperature (CMST2.0) dataset, the global mean surface temperature (GMST) in the first half of 2023 reached its third warmest value since the period of instrumental observation began, being only slightly lower than the values recorded in 2016 and 2020, and historically record-breaking GMST emerged from May to July 2023. Further analysis also indicates that if the surface temperature in the last five months of 2023 approaches the average level of the past five years, the annual average surface temperature anomaly in 2023 of approximately 1.26°C will break the previous highest surface temperature, which was recorded in 2016 of approximately 1.25°C (both values relative to the global pre-industrialization period, i.e., the average value from 1850 to 1900). With El Niño triggering a record-breaking hottest July, record-breaking average annual temperatures will most likely become a reality in 2023. |
| doi_str_mv | 10.1007/s00376-023-3200-9 |
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Further analysis also indicates that if the surface temperature in the last five months of 2023 approaches the average level of the past five years, the annual average surface temperature anomaly in 2023 of approximately 1.26°C will break the previous highest surface temperature, which was recorded in 2016 of approximately 1.25°C (both values relative to the global pre-industrialization period, i.e., the average value from 1850 to 1900). 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Atmos. Sci</addtitle><description>According to the latest version (version 2.0) of the China global Merged Surface Temperature (CMST2.0) dataset, the global mean surface temperature (GMST) in the first half of 2023 reached its third warmest value since the period of instrumental observation began, being only slightly lower than the values recorded in 2016 and 2020, and historically record-breaking GMST emerged from May to July 2023. Further analysis also indicates that if the surface temperature in the last five months of 2023 approaches the average level of the past five years, the annual average surface temperature anomaly in 2023 of approximately 1.26°C will break the previous highest surface temperature, which was recorded in 2016 of approximately 1.25°C (both values relative to the global pre-industrialization period, i.e., the average value from 1850 to 1900). With El Niño triggering a record-breaking hottest July, record-breaking average annual temperatures will most likely become a reality in 2023.</description><subject>Annual temperatures</subject><subject>Atmospheric Sciences</subject><subject>Breaking</subject><subject>Climate and Weather Extremes</subject><subject>Datasets</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Geophysics/Geodesy</subject><subject>High temperature</subject><subject>Industrialization</subject><subject>Meteorology</subject><subject>News & Views</subject><subject>Surface temperature</subject><subject>Temperature anomalies</subject><issn>0256-1530</issn><issn>1861-9533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kUtPGzEUha0KJMLjB7Cz1A0sXPyKZ9xdSNuAFBSpDWvLM3Nn8rQT21Ef4sfjaCrBhtVd3O-c-zgIXTP6hVFa3EVKRaEI5YIITinRn9CAlYoRPRTiBA0oHyrChoKeofMYV5nWomQD9PITah8aUgWw66Xr8MOyW5AE2x0Emw4B8OyQNt6vcesD5tn_Kx45PIoRYtyCS_jeRmiwdzgtAI8XS2fxZOMru8FPELrcmr8zuxk__Zrf4m82ZVW6RKet3US4-l8v0POP7_PxA5nOJo_j0ZTUectENLeq0QxUXSvgZcMqyTWHUtUFk6qptJCci0byQomismXVtkMmmaWypg0TUlyg2973t3WtdZ1Z-UNweaJp9us_q38G8mGScsqO7Oee3QW_P0BMbzAvdSl5mT-ZKdZTdfAxBmjNLiy3Nvw1jJpjIKYPxOSHmWMgRmcN7zUxs66D8Ob8segVNzuLfw</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Li, Zichen</creator><creator>Li, Qingxiang</creator><creator>Chen, Tianyi</creator><general>Science Press</general><general>Springer Nature B.V</general><general>School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters,SUN Yat-Sen University</general><general>Zhuhai 519082,China</general><general>Research Center for Ecology and Environment of Central Asia,Chinese Academy of Sciences</general><general>Zhuhai 519082,China%School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters,SUN Yat-Sen University</general><general>Urumqi 830011, China</general><general>Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai 519082, China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20240201</creationdate><title>Record-breaking High-temperature Outlook for 2023: An Assessment Based on the China Global Merged Temperature (CMST) Dataset</title><author>Li, Zichen ; Li, Qingxiang ; Chen, Tianyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-92a6d91e6cc6e28d1b4292e86c7146db934223d427637ba8bff5141a04c0d1343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Annual temperatures</topic><topic>Atmospheric Sciences</topic><topic>Breaking</topic><topic>Climate and Weather Extremes</topic><topic>Datasets</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>Geophysics/Geodesy</topic><topic>High temperature</topic><topic>Industrialization</topic><topic>Meteorology</topic><topic>News & Views</topic><topic>Surface temperature</topic><topic>Temperature anomalies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zichen</creatorcontrib><creatorcontrib>Li, Qingxiang</creatorcontrib><creatorcontrib>Chen, Tianyi</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical 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><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Advances in atmospheric sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zichen</au><au>Li, Qingxiang</au><au>Chen, Tianyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Record-breaking High-temperature Outlook for 2023: An Assessment Based on the China Global Merged Temperature (CMST) Dataset</atitle><jtitle>Advances in atmospheric sciences</jtitle><stitle>Adv. 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| source | SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Annual temperatures Atmospheric Sciences Breaking Climate and Weather Extremes Datasets Earth and Environmental Science Earth Sciences El Nino El Nino phenomena Geophysics/Geodesy High temperature Industrialization Meteorology News & Views Surface temperature Temperature anomalies |
| title | Record-breaking High-temperature Outlook for 2023: An Assessment Based on the China Global Merged Temperature (CMST) Dataset |
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