SMALL SCALE CASE STUDIES IN FMI

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SMALL SCALE CASE STUDIES IN FMI
photo Ari-Juhani Punkka

• Aulikki Lehkonen
• Finnish Meteorological Institute

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Small Scale Case Studies in FMI

• What are they?
• Reasons for making them
• Benefits
• FMI case study archive
• Example
• Summary

photo Jaakko Taina, FMI
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Small scale case studies

• Made by forecasterswith operational material
• Thresholdof starting a study is low
• Aimed mainly for colleagues
• Concentrate on local events

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Reasons for making small case studies

• New knowledge and data
• is pouring in
• Resources for learning
• are limited
• Learning by doing
• Work is inspiring

photo Jarmo Koistinen, FMI
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Benefits meteorological

• Gather knowledge about interesting weather
  situations
• Find new aspects of local phenomena
• Raise new ideas and questions among colleagues
• Silent knowledge of experienced forecasters can
  be shared with others

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Benefits co-operational

• Raise discussion about working methods
• Forecasting problems are presented to other
  groups
• Give information to researches, product
  developers and model experts
• May lead to new collaboration between forecasting
  offices and authorities

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Benefits psychological

• Break from routine shift work
• Remind of all available data and tools
• Inspire to improve professional skills

photo Jarmo Koistinen, FMI
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FMI case study archive

• Directions for making studies
• Completed case studies
• List of proposed subjects
• Archive of weather events, that can be
• searched by date, keyword(s) or type of
• weather situation
• Training courses

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An example of a report of an event
Situation type Records broken, Front
analysis Date and name 04.10.200205.10.2002
The first snowfall of the autumn in the
western part of Finland Description The first
snowfall came 1,5 months earlier than usual.
In Jokioinen the snow depth was 21 cm. Also
the front analysis was difficult. Time
Evening and night Area Western Finland Key
words Snowfall Reporter Jenni
Teittinen Further research Soili Salmi Comment
1 Ill research the case further, also
considering damages caused by snow (power
failures). Soili Salmi Comment
2 HIRLAM-model differed remarkably from
ECWMF and ICM-UKMO models. Vesa
Nietosvaara
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An example of a case studyMCS Unto
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Summary

• From forecasters to forecasters
• Active learning
• New meteorological knowledge
• Discussions and co-operations
• Improvement of professional skills

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THANK YOU!