Special Issue on Climate Science for Services Partnership (CSSP) China
Special Issue on Climate Science for Services Partnership (CSSP) China
——Golden Thread between Science and Service
Call for Papers
Since 2014, the Climate Science for Service Partnership China (CSSP China), as a flagship project of the Newton Fund (channeled through the UK-China Research and Innovation Partnership in China), has built a strong foundation for climate science and climate services to support economic development and social welfare in China and the UK by close collaborative work among research experts and user representatives from the China Meteorological Administration’s National Climate Center (CMA NCC) and the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences, the Met Office, and other key UK and Chinese universities, institutes and companies. This special issue will illustrate the rapidly developing capability to develop and deliver climate services in China through progress in science and technology raised by CSSP China.
CSSP China is organized into five work packages, four of which are rooted in the climate science and the fifth, climate services, as the most crucial one, is the output and application of science. The special issue will set a stage for representing the latest progress in climate service development delivery in CSSP China. Papers for this special issue are solicited for the development or improvement of (prototype) climate services from the following underpinning science areas:
1) Monitoring, attribution, and reanalysis;
2) Global dynamics of climate variability and change;
3) East Asian climate variability and extremes;
4) Development of models and climate projection systems.
In support of the publication of this special issue, publication charges of innovative, well-written papers will be waived, pending on the scores and comments of the handling Editor/reviewers and the Responsible Editors Team of this special issue. Contributions from both Chinese and overseas authors are well encouraged.
Submission open: October 1, 2019
Submission deadline: June 30, 2020
Publication time: As soon as the paper is accepted and edited. The Special Issue in virtual format will be compiled online and the Special Issue in print is available upon request.
Style and format instructions available at
Submission gateway: https://mc03.manuscriptcentral.com/acta-e
Responsible Lead Editors for the Special Issue:
Lianchun SONG, National Climate Center/Beijing Climate Center of CMA, firstname.lastname@example.org
Dr. Song Lianchun, Professor, Director-General of National Climate Center of China Meteorological Administration. He is a member of 16th Session of Commission for Climatology Management Group (CCl-16 MG) and Co-Chair of its working group 1 (OPACE 1). He is also the Chairman committee of the National Standardization Technical Committee of China on climate and climate change, and Director of Climatology and Climate Resource Committee of the Chinese Meteorological Society as well. He is mainly engaged in research and operational work on climate change and climate disaster risk management, and presided over a number of research projects such as the national major scientific research program. He has published more than 50 scientific papers, co-published 5 academic monographs and anthologies.
Cheng QIAN, Institute of Atmospheric Physics, Chinese Academy of Sciences, email@example.com
Dr. Cheng Qian is a professor in the Institute of Atmospheric Physics, Chinese Academy of Sciences. He is also an adjunct professor in the University of Chinese Academy of Sciences. He earned the "Yibing Xie Award for Outstanding Youth in Meteorological Science and Technology" in 2013 and was selected as a member of "Youth Innovation Promotion Association of Chinese Academy of Sciences" in 2016. He was one of the chief authors in Chapter 3 “Detection and attribution of climate change” of the Fourth Assessment Report of China National Climate Change. His research area is detection and attribution, and prediction and projection of regional climate change. He has authored 30 articles, 18 of which are indexed by SCI as the first author. His representative publications include detection and attribution of human influences on seasonal cycle of temperature, multi-decadal variability, and event attribution of the record-breaking cold event in January of 2016 in China.
Tyrone Dunbar , Met Office, United Kingdom, firstname.lastname@example.org
Dr. Tyrone Dunbar is manager of climate services at the UK Met Office. His PhD from the University of Reading focussed on remote sensing of turbulence in the atmospheric boundary-layer and he has published on aspects of boundary-layer modelling and pollution dispersion. Following his PhD, he worked as a technical advisor on climate change in the UK government; contributing to the UK Climate Change Risk Assessment and National Adaptation Programme; as part of the UK delegation on the IPCC’s 5th Assessment Report; and leading on translation of outputs from the Met Office Hadley Centre Climate Programme into advice for policy-makers and stakeholders. He then spent three years working as Private Secretary to the Met Office Chief Scientist, assisting with management of the Met Office’s scientific research programme, which consists of over 500 scientists and engineers.
Chris Hewitt, Met Office, United Kingdom, email@example.com
Prof Chris Hewitt is Head of International Climate Services at the UK Met Office and Professor of Climate Science at the University of Southern Queensland. He has 10 years of experience developing and delivering climate services with many organisations around the world ensuring pull-through of science to services for societal benefit and guiding science developments to be aligned to societal needs. Following World Climate Conference-3 in 2009, he has taken a lead role establishing and developing the UK Met Office’s climate services worldwide, leads major climate service projects funded by the European Commission and the UK government, has been central to developing the UN’s Global Framework for Climate Services, and leads several international climate service-related Expert Teams for the World Meteorological Organization. He has co-led the climate services work package of the Climate Science for Service Partnership China (CSSP China) since it began in 2014.
宋连春，理学博士，国家气候中心主任、研究员。世界气象组织气候委员会管理组成员兼第一工作组主席，中国气象学会气候学与气候资源委员会主任，全国气候与气候变化标准化技术委员会主任委员。主要从事气候变化和气候灾害风险管理等研究和业务工作，主持国家重大科学研究计划等多项研究项目， 发表科学论文50多篇，合作出版学术专著和文集5 部。
专刊投稿开始日期: 2019 年10 月 1 日
专刊投稿截止日期: 2020 年 6 月 30 日
出版时间：一旦论文被接受并完成编辑，专刊文章即可在网上在线查询，并可根据要求 提 供印刷本。
2020, 34(5): 893-903. doi: 10.1007/s13351-020-0042-6
Seasonal Rainfall Forecasts for the Yangtze River Basin of China in Summer 2019 from an Improved Climate Service
2020, 34(5): 904-916. doi: 10.1007/s13351-020-0049-z
2020, 34(5): 917-925. doi: 10.1007/s13351-020-0043-5
Predictability of the Western North Pacific Subtropical High Associated with Different ENSO Phases in GloSea5
2020, 34(5): 926-940. doi: 10.1007/s13351-020-0055-1
Representation and Predictability of the East Asia–Pacific Teleconnection in the Beijing Climate Center and UK Met Office Subseasonal Prediction Systems
2020, 34(5): 941-964. doi: 10.1007/s13351-020-0040-8Abstract Full Text PDF More CitationWu, J., P. Q. Zhang, L. Li, et al., 2020: Representation and predictability of the East Asia–Pacific teleconnection in the Beijing Climate Center and UK Met Office subseasonal prediction systems. J. Meteor. Res., 34(5), 941–964, doi: 10.1007/s13351-020-0040-8Export: BibTex EndNote
High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models
2020, 34(5): 965-985. doi: 10.1007/s13351-020-9208-5
2020, 34(5): 986-996. doi: 10.1007/s13351-020-9135-5
Translational Science for Climate Services: Mapping and Understanding Users’ Climate Service Needs in CSSP China
2021, 35(1): 64-76. doi: 10.1007/s13351-021-0077-3
Communicating Uncertainty in Climate Information for China: Recommendations and Lessons Learned for Climate Services
2021, 35(1): 77-86. doi: 10.1007/s13351-021-0118-y
2021, 35(1): 87-100. doi: 10.1007/s13351-021-0096-0