The UK-China Climate Science to Service Partnership
Article
Article Title | The UK-China Climate Science to Service Partnership |
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ERA Journal ID | 1961 |
Article Category | Article |
Authors | Scaife, Adam A. (Author), Good, Elizabeth (Author), Sun, Ying (Author), Yan, Zhongwei (Author), Dunstone, Nick (Author), Ren, Hong-Li Ren (Author), Li, Chaofan (Author), Lu, Riyu (Author), Wu, Peili (Author), Ke, Zongjian (Author), Ma, Zhuguo (Author), Furtado, Kalli (Author), Wu, Tongwen (Author), Zhou, Tianjuan (Author), Dunbar, Tyrone (Author), Hewitt, Chris (Author), Golding, Nicola (Author), Zhang, Peiqun (Author), Allan, Rob (Author), Dale, Kirstine (Author), Lott, Fraser C. (Author), Stott, Peter A. (Author), Milton, Sean (Author), Song, Lianchun (Author) and Belcher, Stephen (Author) |
Journal Title | Bulletin of the American Meteorological Society |
Number of Pages | 37 |
Year | 2021 |
Publisher | American Meteorological Society |
Place of Publication | United States |
ISSN | 0003-0007 |
1520-0477 | |
Digital Object Identifier (DOI) | https://doi.org/10.1175/BAMS-D-20-0055.1 |
Web Address (URL) | https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-20-0055.1/BAMS-D-20-0055.1.xml |
Abstract | We present results from the first 6 years of this major UK government funded project to accelerate and enhance collaborative research and development in climate science, forge a strong strategic partnership between UK and Chinese climate scientists and demonstrate new climate services developed in partnership. The development of novel climate services is described in the context of new modelling and prediction capability, enhanced understanding of climate variability and change, and improved observational datasets. Selected highlights are presented from over three hundred peer reviewed studies generated jointly by UK and Chinese scientists within this project. We illustrate new observational datasets for Asia and enhanced capability through training workshops on the attribution of climate extremes to anthropogenic forcing. Joint studies on the dynamics and predictability of climate have identified new opportunities for skilful predictions of important aspects of Chinese climate such as East Asian Summer Monsoon rainfall. In addition, the development of improved modelling capability has led to profound changes in model computer codes and climate model configurations, with demonstrable increases in performance. We also describe the successes and difficulties in bridging the gap between fundamental climate research and the development of novel real time climate services. Participation of dozens of institutes through sub-projects in this programme, which is governed by the Met Office Hadley Centre, the China Meteorological Administration and the Institute of Atmospheric Physics, is creating an important legacy for future collaboration in climate science and services. |
Keywords | climate science; climate services; climate variability; climate change; research; United Kingdom; China |
ANZSRC Field of Research 2020 | 370201. Climate change processes |
Byline Affiliations | Met Office, United Kingdom |
China Meteorological Administration, China | |
Chinese Academy of Sciences, China | |
China University of Geosciences, China | |
University of Southern Queensland | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6678/the-uk-china-climate-science-to-service-partnership
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