Special Observing Period (SOP) data for the Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP)

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Zen Mariani, Sara M. Morris, Taneil Uttal, Elena Akish, Robert Crawford, Laura Huang, Jonathan Day, Johanna Tjernström, Øystein Godøy, Lara Ferrighi, Leslie M. Hartten, Jareth Holt, Christopher J. Cox, Ewan O'Connor, Roberta Pirazzini, Marion Maturilli, Giri Prakash, James Mather, Kimberly Strong, Pierre Fogal, Vasily Kustov, Gunilla Svensson, Michael Gallagher, Brian Vasel
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引用次数: 0

Abstract

Abstract. The rapid changes occurring in the polar regions require an improved understanding of the processes that are driving these changes. At the same time, increased human activities such as marine navigation, resource exploitation, aviation, commercial fishing, and tourism require reliable and relevant weather information. One of the primary goals of the World Meteorological Organization's Year of Polar Prediction (YOPP) project is to improve the accuracy of numerical weather prediction (NWP) at high latitudes. During YOPP, two Canadian “supersites” were commissioned and equipped with new ground-based instruments for enhanced meteorological and system process observations. Additional pre-existing supersites in Canada, the United States, Norway, Finland, and Russia also provided data from ongoing long-term observing programs. These supersites collected a wealth of observations that are well suited to address YOPP objectives. In order to increase data useability and station interoperability, novel Merged Observatory Data Files (MODFs) were created for the seven supersites over two Special Observing Periods (February to March 2018 and July to September 2018). All observations collected at the supersites were compiled into this standardized NetCDF MODF format, simplifying the process of conducting pan-Arctic NWP verification and process evaluation studies. This paper describes the seven Arctic YOPP supersites, their instrumentation, data collection and processing methods, the novel MODF format, and examples of the observations contained therein. MODFs comprise the observational contribution to the model intercomparison effort, termed YOPP site Model Intercomparison Project (YOPPsiteMIP). All YOPPsiteMIP MODFs are publicly accessible via the YOPP Data Portal (Whitehorse: https://doi.org/10.21343/a33e-j150, Huang et al., 2023a; Iqaluit: https://doi.org/10.21343/yrnf-ck57, Huang et al., 2023b; Sodankylä: https://doi.org/10.21343/m16p-pq17, O'Connor, 2023; Utqiaġvik: https://doi.org/10.21343/a2dx-nq55, Akish and Morris, 2023c; Tiksi: https://doi.org/10.21343/5bwn-w881, Akish and Morris, 2023b; Ny-Ålesund: https://doi.org/10.21343/y89m-6393, Holt, 2023; and Eureka: https://doi.org/10.21343/r85j-tc61, Akish and Morris, 2023a), which is hosted by MET Norway, with corresponding output from NWP models.
极地预报年站点模式相互比较项目(YOPPsiteMIP)的特别观测期(SOP)数据
摘要极地地区发生的快速变化要求我们更好地了解驱动这些变化的过程。与此同时,海洋航行、资源开发、航空、商业捕鱼和旅游业等人类活动的增加也需要可靠和相关的气象信息。世界气象组织极地预测年(YOPP)项目的主要目标之一是提高高纬度地区数值天气预报(NWP)的准确性。在 YOPP 期间,加拿大的两个 "超级站点 "投入使用,并配备了新的地面仪器,以加强气象和系统过程观测。加拿大、美国、挪威、芬兰和俄罗斯的其他原有超级站点也提供了正在进行的长期观测计划的数据。这些超级站点收集了大量观测数据,非常适合实现 YOPP 目标。为了提高数据的可用性和观测站的互操作性,在两个特别观测期(2018 年 2 月至 3 月和 2018 年 7 月至 9 月)为七个超级观测站创建了新的合并观测站数据文件(MODF)。在超级站点收集的所有观测数据都被编译成这种标准化的 NetCDF MODF 格式,从而简化了开展泛北极 NWP 验证和过程评估研究的流程。本文介绍了七个北极 YOPP 超级站点、其仪器设备、数据收集和处理方法、新颖的 MODF 格式以及其中包含的观测数据示例。MODF 是对模式比对工作的观测贡献,被称为 YOPP 站点模式比对项目(YOPPsiteMIP)。所有 YOPPsiteMIP MODFs 都可通过 YOPP 数据门户网站公开获取(怀特霍斯: https://doi.org/10.21343/a33e-j150,Huang 等,2023a;伊魁特: https://doi.org/10.21343/yrnf-ck57,Huang 等,2023b;索丹基尔: https://doi.org/10.21343/yrnf-ck57,Huang 等,2023c;伊魁特: https://doi.org/10.21343/yrnf-ck57,Huang 等,2023d)、2023b; Sodankylä: https://doi.org/10.21343/m16p-pq17, O'Connor, 2023; Utqiaġvik: https://doi.org/10.21343/a2dx-nq55, Akish and Morris, 2023c; Tiksi: https://doi.org/10.21343/5bwn-w881, Akish and Morris, 2023b; Ny-Ålesund: https://doi.org/10.21343/y89m-6393, Holt, 2023; and Eureka: https://doi.org/10.21343/r85j-tc61, Akish and Morris, 2023a),该门户网站由挪威气象和环境部主办,并提供 NWP 模式的相应输出。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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