Automatic Rain and Wind Measurement Fault Identification in Mesoscale Weather Station Networks

被引：1

作者：

Hasu, Vesa ^{[1
]}

Koivo, Heikki ^{[1
]}

机构：

[1] TKK Helsinki Univ Technol, Dept Automat & Syst Technol, Helsinki 02015, Finland

来源：

2008 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5 | 2008年

关键词：

Automated diagnostic systems; wind measurements; rain measurements;

D O I：

10.1109/IMTC.2008.4547085

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Future increase in short-term weather forecasting, i.e. nowcasting, products requires denser surface weather station networks than in before. Thus number of measurement stations and points increases also and their fault identification must be more accurate - the fault identification tests must be tailor-made for dense measurement networks. This paper proposes several automatic rain and wind measurement fault identification algorithms for surface weather station networks with station spacing around 10-20 km.

引用

页码：489 / 494

页数：6

共 13 条

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