Abstract
Abstract. Global surface temperature (ST) datasets are the foundation for global climate change research. Several global ST datasets have been developed by different groups in NOAA NCEI, NASA GISS, UK Met Office Hadley Centre & UEA CRU, and Berkeley Earth. In this study, a new global ST dataset named China Merged Surface Temperature (CMST) was presented. CMST is created by merging the China-Land Surface Air Temperature (C-LSAT1.3) with sea surface temperature (SST) data from the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5). The merge of C-LSAT and ERSSTv5 shows a high spatial coverage extended to the high latitudes and is more consistent with a reference of multi-dataset averages in the polar regions. Comparisons indicated that CMST is consistent with other existing global ST datasets in interannual and decadal variations and long-term trends at global, hemispheric, and regional scales from 1900 to 2017. The CMST dataset can be used for global climate change assessment, monitoring, and detection. The CMST dataset presented here is publicly available at https://doi.org/10.1594/PANGAEA.901295 (Li, 2019a) and has been published on the Climate Explorer website of the Royal Netherlands Meteorological Institute (KNMI) at http://climexp.knmi.nl/select.cgi?id=someone@somewhere&field=cmst (last access: 11 August 2018; Li, 2019b, c).
Highlights
The long-term trend in the global mean surface temperatures (GMSTs) is a common measure in observing the change of climate
This study presents a new merged global ST dataset based on the recently developed C-land surface air temperature (LSAT) and the latest Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5) using a method which is similar to the HadCRUT and NOAAGlobalTemp, providing a new reference for climate or climate change studies
The results showed that the correlation coefficients between Merge1 (Merge2) and the reference series are similar for the globe, the Southern Hemisphere (SH), the Northern Hemisphere (NH), and the middle–low latitudes, which exceed 0.98
Summary
The long-term trend in the global mean surface temperatures (GMSTs) is a common measure in observing the change of climate. A total of four global land surface air temperature (LSAT) observation series and three global ST series were presented by the Intergovernmental Panel on Climate Change (IPCC, 2013) a few years ago. Yun et al.: A new merge of global surface temperature datasets (HadCRUT4; Morice et al, 2012); Merged Land–Ocean Surface Temperature (MLOST; Vose et al, 2012); and Goddard Institute for Space Studies Surface Temperature Analysis (GISTEMP; Hansen et al, 2010) These global ST data products have been updated over the past few years since the publication of IPCC (2013). Huang et al, 2017), updated LSAT dataset GHCNm v3 to GHCNm v4 (Menne et al, 2018), and renamed MLOST to NOAA Global Surface Temperature (NOAAGlobalTemp).
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