Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1629-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1629-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 Nov 2019
Data description paper |
| 06 Nov 2019
| 06 Nov 2019
A new merge of global surface temperature datasets since the start of the 20th century
Xiang Yun
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Chinese Academy of Meteorological Sciences, CMA, Beijing, China
Boyin Huang
National Centers of Environmental Information, NOAA, Asheville, USA
Jiayi Cheng
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
Wenhui Xu
National Meteorological Information Center, CMA, Beijing, China
Shaobo Qiao
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disasters, SUN Yat-Sen University, Guangzhou, China
Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China
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30 citations as recorded by crossref.
- An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set C. Morice et al. 10.1029/2019JD032361
- Urbanisation and Geographical Signatures in Observed Air Temperature Station Trends Over the Mediterranean and the Middle East–North Africa P. Hadjinicolaou et al. 10.1007/s41748-023-00348-y
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- CAS FGOALS-g3 Model Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Y. Pu et al. 10.1007/s00376-020-2032-0
- Half-hourly changes in intertidal temperature at nine wave-exposed locations along the Atlantic Canadian coast: a 5.5-year study R. Scrosati et al. 10.5194/essd-12-2695-2020
- Extension and convergence analysis of Iterative Filtering to spherical data G. Barbarino et al. 10.1016/j.laa.2024.06.002
- Quantifying the Spatio-Temporal Pattern Differences in Climate Change before and after the Turning Year in Southwest China over the Past 120 Years M. Wang et al. 10.3390/atmos14060940
- An intensification of surface Earth’s energy imbalance since the late 20th century X. Li et al. 10.1038/s43247-024-01802-z
- The Assessment of Global Surface Temperature Change from 1850s: The C-LSAT2.0 Ensemble and the CMST-Interim Datasets W. Sun et al. 10.1007/s00376-021-1012-3
- Relationship between summer extreme precipitation anomaly in Central Asia and surface sensible heat variation on the Central-Eastern Tibetan Plateau H. Wang et al. 10.1007/s00382-022-06148-w
- Consistency of global warming trends strengthened since 1880s Q. Li et al. 10.1016/j.scib.2020.06.009
- Development of High Resolution and Homogenized Gridded Land Surface Air Temperature Data: A Case Study Over Pan-East Asia J. Cheng et al. 10.3389/fenvs.2020.588570
- Re-Assessing Climatic Warming in China since 1900 Z. Yan et al. 10.1007/s13351-020-9839-6
- Historical global land surface air apparent temperature and its future changes based on CMIP6 projections J. Huang et al. 10.1016/j.scitotenv.2021.151656
- An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST Q. Li et al. 10.1007/s00382-020-05502-0
- Growing‐season climate as an explanation of spatial variations in temperature sensitivity of green‐up on Tibetan Plateau Z. Yang et al. 10.1002/ecs2.4761
- The observed features and some possible reasons of annual temperature extremes over Beijing‐Tianjin‐Hebei region for a century long‐term based on newly constructed daily observations P. Si et al. 10.1002/joc.8085
- Abrupt change of winter temperature over the Mongolian Plateau during 1961–2017 Y. Xia et al. 10.1007/s11629-022-7833-4
- A novel statistical decomposition of the historical change in global mean surface temperature G. Qian et al. 10.1088/1748-9326/abea34
- Arctic warming trends and their uncertainties based on surface temperature reconstruction under different sea ice extent scenarios Z. Li et al. 10.1016/j.accre.2023.06.003
- Meridional Temperature Difference Over Pan-East Asia and its Relationship With Precipitation in Century Scales B. Sheng et al. 10.3389/fenvs.2021.769439
- Another scanning test of trend change in regression coefficients applied to monthly temperature on global land and sea surfaces J. Jiang 10.1007/s00704-023-04649-0
- Description of the China global Merged Surface Temperature version 2.0 W. Sun et al. 10.5194/essd-14-1677-2022
- Different climate response persistence causes warming trend unevenness at continental scales Q. Li et al. 10.1038/s41558-022-01313-9
- Uncertainties in the global and continental surface solar radiation variations: inter-comparison of in-situ observations, reanalyses, and model simulations B. Jiao et al. 10.1007/s00382-022-06222-3
- Rapid changes in heatwaves pose dual challenge in Eastern China and its adjacent seas Y. Yao et al. 10.3389/fmars.2022.979391
- Improvements to the Land Surface Air Temperature Reconstruction in NOAAGlobalTemp: An Artificial Neural Network Approach B. Huang et al. 10.1175/AIES-D-22-0032.1
- "Apples and Oranges": On comparing simulated historic near‐surface temperature changes with observations G. Jones 10.1002/qj.3871
- A comparison of global surface temperature variability, extremes and warming trend using reanalysis datasets and CMST‐Interim Y. Yang et al. 10.1002/joc.7551
- Global seamless and high-resolution temperature dataset (GSHTD), 2001–2020 R. Yao et al. 10.1016/j.rse.2022.113422
Latest update: 14 Dec 2024
Short summary
Global ST datasets have been blamed for underestimating the recent warming trend. This study merged ERSSTv5 with our newly developed C-LSAT, producing a global land and marine surface temperature dataset – CMST. Comparing with existing datasets, the statistical significance of the GMST warming trend during the past century remains unchanged, while the recent warming trend since 1998 increases slightly and is statistically significant.
Global ST datasets have been blamed for underestimating the recent warming trend. This study...
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