Abstract

A compilation of coastal weather analyses and climate change scenarios for the future for northern Europe from various sources is presented. They contain no direct measurements but results from numerical models that have been driven either by observed data in order to achieve the best possible representation of observed past conditions or by climate change scenarios for the near future. A comparison with the limited number of observational data points to the good quality of the model data in terms of long-term statistics, such as multiyear return values of wind speed and wave heights. These model data provide a unique combination of consistent atmospheric, oceanic, sea state, and other parameters at high spatial and temporal detail, even for places and variables for which no measurements have been made. In addition, coastal scenarios for the near future complement the numerical analyses of past conditions in a consistent way. The backbones of the data are regional wind, wave, and storm surge hindcasts and...

Highlights

  • Summarizing, and in addition to the analysis of are presently underway to transfer the approach to the existing observational data, we believe that comstatistics of polar lows (Zahn et al 2008) or tropical prehensive model-based regional climate datasets regions (Feser and von Storch 2008a,b)

  • They provide some Swedish Meteorological and Hydrological Institute where knowledge about the meteorological–marine condi- similar analyses are in progress

  • We are grateful for her help in have been made, but in the prospect of ongoing and improving the quality of all other figures

Read more

Summary

Introduction

Underway to simulate and to assess long-term changes of persistent organic pollutants (POPs) in the marine environment, in particular for the North Sea and the Baltic Sea (Aulinger et al 2007; Matthias et al 2008; Matthias et al 2009). Summarizing, and in addition to the analysis of are presently underway to transfer the approach to the existing observational data, we believe that comstatistics of polar lows (Zahn et al 2008) or tropical prehensive model-based regional climate datasets regions (Feser and von Storch 2008a,b).

Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.