Wisconet: A Case Study in Meteorological Infrastructure Capacity Development

IF 3.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Chris Vagasky, Caitlin Wienkes, Izzy Bogot, Mikaela Martiros, David Henry, Christopher J. Kucharik
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引用次数: 0

Abstract

Meteorological observations with high spatial and temporal resolution are necessary for improved forecasts and early warnings of high impact weather. Meteorological observation infrastructure can be expanded in countries with modernized and developing national meteorological and hydrological services. In the United States, mesoscale weather networks (mesonets) are installed in many states to supplement the existing observational infrastructure, support forecasting and early warnings, and serve multisector stakeholders. Wisconsin's Environmental Mesonet (Wisconet) is one of the newest mesonets in the United States, with 78 weather and soil monitoring stations installed across Wisconsin's 72 counties, and is presented as a case study in expanding meteorological observation infrastructure. Discussed are Wisconet's deployment and maintenance strategy, station design, information technology infrastructure, and considerations for staffing and public outreach. The global applicability of a mesonet deployment for developing meteorological infrastructure capacity is also presented.

Abstract Image

Abstract Image

威斯康辛州:气象基础设施能力发展案例研究
高时空分辨率的气象观测是改进高影响天气预报和预警的必要条件。在拥有现代化和发展中的国家气象和水文部门的国家,可以扩大气象观测基础设施。在美国,许多州都安装了中尺度天气网络(mesonet),以补充现有的观测基础设施,支持预报和预警,并为多部门利益相关者服务。威斯康辛州的环境中网(威斯康辛)是美国最新的中网之一,在威斯康辛州的72个县安装了78个天气和土壤监测站,作为扩大气象观测基础设施的案例研究。讨论了威斯康辛州的部署和维护策略、车站设计、信息技术基础设施以及人员配备和公众宣传方面的考虑。文中还介绍了中网部署对发展气象基础设施能力的全球适用性。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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