Extreme weather
Unpredictable Arctic – extreme weather events
The objective of this work package is to document and improve awareness of the many consequences of extreme weather events in the ArcticDefinitions of the Arctic vary according to environmental, geographical, political, cultural and scientific perspectives. Some scientists define the Arctic as areas having a high latitude, long winters, short, cool summers,... More that are of importance to ecosystemAll the living organisms (including people) in an area as well as its physical environment, functioning together as a unit. An ecosystem is made up of plants, animals, microorganisms, soil,... More services, local and global communities, so that appropriate timely responses can be made.
The specific aims are to:
- Document the effects of extreme weather events on rapid changes in biodiversityBiological diversity. The many and varied forms of life on Earth (collectively known as biota). As well as diversity of species (species diversity), there is also diversity within populations of a... More.
- Identify the societal impacts of extreme weather on local communities through community engagement.
- Evaluate the ability of current state-of-the-art weather predictions to forecast such events.
- The WP will also provide guidance on how the INTERACT network can be used to improve weather forecasts and the way they are used in the ArcticDefinitions of the Arctic vary according to environmental, geographical, political, cultural and scientific perspectives. Some scientists define the Arctic as areas having a high latitude, long winters, short, cool summers,... More and beyond.
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D4.1 Documenting the effects of extreme weather events on the seasonal timing of species migration, range changes and biodiversity
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D4.2 Report on monitoring by Indigenous and local residents of extreme weather events and other unpredictable environmental challenges and their consequences.
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D4.3 Report on severe weather event case studies evaluation and implications for monitoring within INTERACT
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D4.4 Report on the use of INTERACT station data to understand systematic forecast errors
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