Fengyun Meteorological Satellite Climate Data Records (CDR) Reprocessing:Methods, Products, and Applications

Special Issue on Fengyun Meteorological Satellite Climate Data Records (CDR) Reprocessing:Methods, Products, and Applications


(Abbreviated title: Fengyun Meteorological Satellite Historical Data Reprocessing)


Call for Papers


Constructing Climate Data Records (CDR) from satellite historic data is a fundamental work advocated by the Global Climate Observation System (GCOS) programme. Since the launch of the first Fengyun (FY) satellite in 1988, we have collected FY satellite data with a 20-year-long record. 

Because of the upgrading of the instruments to the same category of instruments, the degradation of the instrument during its lifetime, and the unstable status of the data quality in the early commissioning stage, FY satellite data quality exhibits significant temporal and spatial variations. So far, the archived FY satellite data have never been reprocessed with the state-of-the-art sciences of calibration, cross calibration, and the product algorithms. As a result, neither Fundamental Climate Data Records (FCDR) nor Thematic Climate Data Records (TCDR) have been developed from FY satellites to support the user communities in data reanalysis, and climate and climate change research. In reprocessing the archived data, we need to analyze the historic data quality, characterize the spectral and radiometric response, trace the radiometric benchmark, and harmonize the observations from a series of FY instruments. 

This special issue will summarize the activities of FY satellite data reprocessing and introduce the current accuracy of FCDR and TCDR. We do hope that this special issue can promote the Chinese satellite data quality and advance their applications in data reanalysis and research on climate and climate change.

Papers for this special issue are solicited for, although not limited to, the following topics:

1. The methods and products to generate the FCDR through reprocessing of the archived FY satellite data;

2. The methods and products to generate the TCDR through reprocessing of the archivedFY satellite data;

3. The natural and man-made stable calibration references in optical/microwave spectrum and their spatial and temporal characteristics;

4. Application of the FY satellite data to data reanalysis and research on climate and climate change.


Contributions from authors in and out of China are warmly welcome and encouraged.  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; and three best papers will be awarded with certificates and/or cash prizes. Contributions from both Chinese and overseas authors are well encouraged.


Important Dates

Submission open: September 16, 2020

Submission deadline: December 31, 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 http://jmr.cmsjournal.net/news/author_guide.htm

Submission gateway: https://mc03.manuscriptcentral.com/acta-e


Responsible Lead Editors for the Special Issue:


Peng Zhang, National Satellite Meteorological Center, zhangp@cma.gov.cn

Dr. Peng Zhang is Senior Scientist and Deputy Director-General of National Satellite Meteorological Center (NSMC/CMA) since 2013, Chief Director of FY-3 ground segment since 2013, Chair of Global Space Inter-Calibration System (GSICS) Executive Panel from 2014 to 2017, Chief Director of Chinese TanSat satellite ground segment since 2015, and IEEE Senior Member since 2016. Dr. Zhang obtained his PhD from IAP/CAS (Institute of Atmospheric Physics, Chinese Academy of Sciences) in 1998. He has been intensively involved in conceiving, developing, and operating FY-3 satellite ground segment. With his leadership, Chinese meteorological polar orbiting satellite FY-3 data have been used worldwide, and the radiance calibration accuracy of the instruments has been improved progressively. His research experience covers the atmospheric remote sensing, satellite calibration and validation, and atmospheric radiative transfer calculation, etc. He has authored and coauthored over 100 papers in refereed scientific journals.


Fuzhong Weng, Chinese Academy of Meteorological Sciences, wengfz@cma.gov.cn

Dr. Fuzhong Weng received his PhD in 1992 from Department of Atmospheric Sciences, Colorado State University. He is a fellow of the American Meteorological Society and a professor in Chinese Academy of Meteorological Sciences, Co-Chief Editor of Journal of Meteorological Research and Associate Editor of Journal of IEEE Geoscience Remote Sensing. His major research areas include radiative transfer, satellite remote sensing, satellite data assimilation, and instrument calibration. He was a physical scientist at NOAA, USA during 1992–2017 and received many awards including NOAA David Johnson award in 2000, US Department of Commerce Gold Medal in 2005, and NOAA Administrator Award on Science and Technology in 2009. He has published more than 300 peer-reviewed articles and 9 book chapters on remote sensing sciences. In 2017, he also published a book on passive microwave remote sensing of the earth for meteorological applications in Wiley Series in Atmospheric Physics and Remote Sensing.


Jun Li, University of Wisconsin-Madison, jun.li@ssec.wisc.edu

Dr. Jun Li received his B.S. degree in mathematics from Peking University in 1987, and M.S. and Ph.D. degrees in atmospheric science from the Institute of Atmospheric Physics, Chinese Academy of Sciences in 1990 and 1996, respectively. His research area includes retrieval of geophysical parameters from both geostationary and polar-orbiting satellite measurements; applications of satellite data in nowcasting, weather forecasting, and numerical weather prediction; and future observing system simulation and impact assessment. He has authored and co-authored more than 200 peer-reviewed journal publications, and has been granted permanent principal investigator status, promoted to Distinguished Scientist, and awarded the Chancellor’s Award for Excellence in Research by University of Wisconsin-Madison.


Johannes Schmetz, EUMETSAT former Chief Scientist, johannesschmetz@gmail.com

Dr. Johannes Schmetz received his PhD in 1981 from the University of Cologne (UC, Germany) and later his habilitation from the University of Frankfurt (Germany). He worked as researcher at the University (UC) and then moved to the Max-Planck-Institute for Meteorology. His focus was on theoretical and experimental work on cloud–radiation interaction. He joined the European Space Agency (ESA) to work in the Meteosat programme as senior researcher and Head of the Science Section. At ESA he devised an operational satellite calibration and products for Numerical Weather Prediction. In 1995 he moved on to EUMETSAT as Division Head. At EUMETSAT he built up the Meteorological Division. Then he became the first Chief Scientist of EUMETSAT. He is retired and works as expert consultant and member of various advisory boards. He is a fellow of the American Meteorological Society (AMS) and received the award of the AMS Committee on Satellite Meteorology, Oceanography, and Climatology. He published around 100 papers in peer-reviewed journals and books. Throughout his career he served on and chaired various international committees and has led scientific cooperation between operational satellite agencies over nearly three decades.


风云气象卫星历史资料再处理专刊


征稿启事


基于卫星遥感的长序列观测资料构建气候数据集CDR (Climate Data Record),是全球气候观测系统计划GCOS (Global Climate Observation System) 倡导的一项基础性工作。

自1988年首颗卫星成功发射以来,我国的风云气象卫星已经积累了长达30年跨度、20年连续的资料,但由于期间遥感仪器升级换代、同代遥感仪器间观测存在系统差异、同一遥感仪器寿命期内数据观测质量衰变以及早期数据质量稳定性不高等问题,气象卫星历史资料的质量参差不齐。对风云卫星历史资料,尚未进行过针对观测数据时空一致性的系统性再定标重处理,缺少具有支撑资料再分析和气候研究价值的基础气候数据集FCDR和专题气候数据集TCDR。为了提高国产风云卫星在气候领域应用的能力和水平,需要突破历史数据质量分析、寿命期辐射响应变化、遥感仪器辐射基准溯源、代际基准传递等关键技术。

本期专刊将总结风云气象卫星历史资料再处理的进展和成果,全面客观地评估风云卫星30年资料的质量状况,分析介绍风云卫星FCDR和TCDR产品的精度。期望以此加强读者对风云卫星历史资料再定标处理的全方位了解,推进风云卫星历史数据在资料再分析和气候变化研究中的应用,为全球气候变化研究提供中国数据。


征文主要面向但不限于以下研究方向:

      1. 风云气象卫星基础气候数据集FCDR再处理方法和产品;

      2. 风云气象卫星专题气候数据集TCDR再处理方法和产品;

      3. 光学和微波谱段自然和人工稳定目标的时空变化特征;

      4. 风云气象卫星数据在资料再分析和气候研究中的应用。


本专刊将根据编辑/审稿人对稿件质量的评分和评审意见,对有创新、高质量的优秀论文将免除出版费用;同时,将授予3篇优秀专刊论文获奖证书和现金奖励。欢迎海内外研究人员踊跃投稿。


专刊责任编辑:


张鹏,理学博士,二级研究员,博士生导师,国家卫星气象中心副主任,风云三号极轨气象卫星工程地面应用系统总指挥,全球二氧化碳监测科学实验卫星工程地面应用系统总指挥。1998年毕业于中科院大气物理所并获得博士学位。曾先后以博士后、访问学者等身份工作于日本宇宙开发事业团(EORC/NASDA)、法国气象局(CMS/Meteo-France)和美国威斯康星大学(CIMSS/SSEC/UW-Madison)。曾任国际全球天基交叉定标系统(GSICS)执行委员会主席、国家863计划“空间辐射测量基准源研制”项目首席专家等,目前担任国家重点研发计划“国产多系列遥感卫星历史资料再定标技术”项目首席专家。长期从事气象卫星应用系统工程设计和卫星资料遥感应用工作,已发表科研论文100多篇,是我国第二代极轨气象卫星风云三号地面应用系统的主要完成人之一。主要研究工作包括卫星大气遥感及应用、卫星遥感仪器定标、大气辐射传输理论与方法等。

电子邮箱:zhangp@cma.gov.cn


翁富忠,博士,首席科学家,教授/博导,中国气象科学研究院卫星研究与应用联合中心主任,美国气象学会会士。1992年毕业于美国科罗拉多州立大学(CSU)大气科学系并获博士学位。1992–2018年在美国国家海洋与大气管理局(NOAA)工作,期间曾任美国卫星气象和气候处主任, 通用辐射传输模式(CRTM)首席科学家,美国联合极地卫星系统(JPSS)仪器主席。先后荣获如2000届NOAA戴维约翰逊奖,2005年度美国商务部金奖,NOAA一等奖等;2009年被授予NOAA科学技术奖。在国际期刊发表论文超过300篇、编写9部书籍章节、并撰写一部专著。目前担任《气象学报(英文版)》联合主编及IEEE Geosciences and Remote Sensing副编辑。

电子邮箱:wengfz@cma.gov.cn


李俊,博士,1987年于北京大学获得学士学位,1990年和1996年于中科院大气物理研究所获得硕士和博士学位。研究领域包括静止卫星和极轨卫星的地球物理参数反演,卫星资料在临近天气预报、天气预报和数值天气预报的应用,未来观测系统模拟和影响评估等。李俊博士已经发表学术文章200多篇,是威斯康星大学卓越科学家和终身研究员,获得大学校长杰出研究贡献奖。

电子邮箱:jun.li@ssec.wisc.edu


Johannes Schmetz,博士,原欧洲气象卫星组织 (EUMETSAT) 首席科学家。1981年毕业于德国科隆大学并获得博士学位,先后工作于法兰克福大学和Max-Planck研究所,从事飞机试验研究、云辐射相互作用研究等。后加入欧空局ESA,以资深研究员、科学部主任身份工作于气象卫星部。之后,他组建并以主任身份就职于EUMETSAT气象部。Johannes Schmetz博士是EUMETSAT首位首席科学家,退休后他作为顾问继续工作于卫星气象领域。他是美国气象学会会士,曾获得美国气象学会卫星气象–海洋–气候奖,发表文章90余篇。他是多个卫星气象国际委员会的委员,有近30年在业务卫星机构指导科学合作的经验。

 电子邮箱:johannesschmetz@gmail.com


重要时间节点:

专刊投稿开始日期: 2020 年9 月 16 日

专刊投稿截止日期: 2020 年 12月 31 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。

作者写作格式须知:http://jmr.cmsjournal.net/news/author_guide.htm

投稿网址:https://mc03.manuscriptcentral.com/acta-e