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Xu, Wenhui, Li, Qingxiang, Jones, Phil 
ORCID: https://orcid.org/0000-0001-5032-5493, Wang, Xiaolan L., Trewin, Blair, Yang, Su, Zhu, Chen, Zhai, Panmao, Wang, Jinfeng, Vincent, Lucie, Dai, Aiguo, Gao, Yun and Ding, Yihui
(2018)
A new integrated and homogenized global monthly land surface air temperature dataset for the period since 1900.
Climate Dynamics, 50 (7-8).
2513–2536.
ISSN 0930-7575
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Abstract
A new dataset of integrated and homogenized monthly surface air temperature over global land for the period since 1900 [China Meteorological Administration global Land Surface Air Temperature (CMA-LSAT)] is developed. In total, 14 sources have been collected and integrated into the newly developed dataset, including three global (CRUTEM4, GHCN, and BEST), three regional and eight national sources. Duplicate stations are identified, and those with the higher priority are chosen or spliced. Then, a consistency test and a climate outlier test are conducted to ensure that each station series is quality controlled. Next, two steps are adopted to assure the homogeneity of the station series: (1) homogenized station series in existing national datasets (by National Meteorological Services) are directly integrated into the dataset without any changes (50% of all stations), and (2) the inhomogeneities are detected and adjusted for in the remaining data series using a penalized maximal t test (50% of all stations). Based on the dataset, we re-assess the temperature changes in global and regional areas compared with GHCN-V3 and CRUTEM4, as well as the temperature changes during the three periods of 1900–2014, 1979–2014 and 1998–2014. The best estimates of warming trends and there 95% confidence ranges for 1900–2014 are approximately 0.102 ± 0.006 °C/decade for the whole year, and 0.104 ± 0.009, 0.112 ± 0.007, 0.090 ± 0.006, and 0.092 ± 0.007 °C/decade for the DJF (December, January, February), MAM, JJA, and SON seasons, respectively. MAM saw the most significant warming trend in both 1900–2014 and 1979–2014. For an even shorter and more recent period (1998–2014), MAM, JJA and SON show similar warming trends, while DJF shows opposite trends. The results show that the ability of CMA-LAST for describing the global temperature changes is similar with other existing products, while there are some differences when describing regional temperature changes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | cma-lsat dataset,surface air temperature,homogenized,climate change,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Climatic Research Unit Faculty of Science > Research Groups > Marine and Atmospheric Sciences (former - to 2017) Faculty of Science > Research Groups > Climate, Ocean and Atmospheric Sciences (former - to 2017) Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 12 Jul 2017 05:05 |
| Last Modified: | 14 Jun 2023 13:01 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/64080 |
| DOI: | 10.1007/s00382-017-3755-1 |
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