nerc.ac.uk

Does high-resolution modelling improve the spatial analysis of föhn flow over the Larsen C ice shelf?

Turton, J.V. ORCID: https://orcid.org/0000-0003-0581-8293; Kirchgaessner, A. ORCID: https://orcid.org/0000-0001-7483-3652; Ross, A.N.; King, J.C. ORCID: https://orcid.org/0000-0003-3315-7568. 2017 Does high-resolution modelling improve the spatial analysis of föhn flow over the Larsen C ice shelf? Weather, 72 (7). 192-196. https://doi.org/10.1002/wea.3028

Before downloading, please read NORA policies.
[img]
Preview
Text
Copyright Royal Meteorological Society
TurtonJV_article_main_document_revised.pdf - Accepted Version

Download (1MB) | Preview

Abstract/Summary

The ice shelves on the east coast of the Antarctic Peninsula (AP) have been disintegrating for over two decades. Surface melting induced by föhn winds has been proposed as a driver of this disintegration. Föhn winds are adiabatically warmed dry winds, formed by the interaction of a mountain range with perpendicularly approaching winds, in this case of the AP mountains with the prevailing circumpolar westerlies. Assessing their impact is difficult due to the sparsity of observations and the relatively low-resolution of operational forecasts. We have carried out high-resolution simulations using the Weather Research and Forecasting (WRF) model to provide more detailed simulations of the spatial distribution of the föhn air. The analysis presented here covers the period from 10 to 22 May 2011 and focuses on two föhn events during this period. Results show that a stable boundary layer can reduce the impact of föhn, as can the occurrence of cooler föhn jets.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1002/wea.3028
Programmes: BAS Programmes > BAS Programmes 2015 > Atmosphere, Ice and Climate
ISSN: 0043-1656
Date made live: 12 Jul 2017 08:32 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/516087

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...