Special Issue "Cryosphere in and around Regional Climate Models"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology and Meteorology".

Deadline for manuscript submissions: 30 November 2018

Special Issue Editor

Guest Editor
Dr. Sven Kotlarski

Climate Monitoring and Scenarios, Climate Division, Federal Office of Meteorology and Climatology MeteoSwiss, P.O. Box 257, CH-8058 Zurich-Airport, Switzerland
Website | E-Mail
Interests: Process Studies; Atmosphere; Climate; Global Warming; Hydrosphere; Cryosphere; Climatic Effects; Climate Statistics; Regional Climate Modelling; Climate Services

Special Issue Information

Dear Colleagues,

The cryosphere is an important and heavily-interacting component of the global climate system. Cryosphere-climate feedbacks occur at different spatial and temporal scales, and climate model development seeks to integrate the most important and relevant feedbacks. At regional scales, these primarily occur through the modification of surface and sub-surface features by the presence of snow and ice. Especially, in alpine terrain shaped by topography but also in polar environments, a comparatively high spatial resolution, such as being employed by regional climate models (RCMs), is required to appropriately account for these processes. The representation of the terrestrial cryosphere in RCMs has, therefore, gained particular attention in recent years, and sophisticated online parameterization schemes have been developed and applied. The same is true for the representation of sea ice in coupled regional atmosphere–ocean models. Furthermore, RCMs are increasingly employed to drive dedicated cryospheric impact models in an offline mode.

This Special Issue seeks to bring together studies that are concerned with

(a) the online representation of cryospheric features (snowfall, snow cover, glaciers, permafrost, sea ice) within RCMs in order to adequately account for cryosphere-climate feedbacks (Cryosphere IN RCMs)

(b) the offline forcing of cryospheric models by RCM output in order to assess sensitivities of the cryosphere with respect to climate change and variability or to assess future climate change impacts on the cryosphere (Cryosphere AROUND RCMs).

In addition, further topics, such as the use of cryospheric data sets for RCM validation or the assessment of cryosphere-related continental-scale teleconnections are warmly welcome.

Dr. Sven Kotlarski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cryosphere-climate feedbacks
  • Glaciers
  • Snow
  • Snowfall
  • Permafrost
  • Sea ice
  • Regional climate models
  • Parameterization
  • Snow-albedo feedback
  • Mountain climates

Published Papers (1 paper)

View options order results:
result details:
Displaying articles 1-1
Export citation of selected articles as:

Research

Open AccessArticle A Multidecadal Analysis of Föhn Winds over Larsen C Ice Shelf from a Combination of Observations and Modeling
Atmosphere 2018, 9(5), 172; https://doi.org/10.3390/atmos9050172
Received: 3 April 2018 / Revised: 25 April 2018 / Accepted: 2 May 2018 / Published: 5 May 2018
Cited by 2 | PDF Full-text (4927 KB) | HTML Full-text | XML Full-text
Abstract
The southward progression of ice shelf collapse in the Antarctic Peninsula is partially attributed to a strengthening of the circumpolar westerlies and the associated increase in föhn conditions over its eastern ice shelves. We used observations from an automatic weather station at Cabinet
[...] Read more.
The southward progression of ice shelf collapse in the Antarctic Peninsula is partially attributed to a strengthening of the circumpolar westerlies and the associated increase in föhn conditions over its eastern ice shelves. We used observations from an automatic weather station at Cabinet Inlet on the northern Larsen C ice shelf between 25 November 2014 and 31 December 2016 to describe föhn dynamics. Observed föhn frequency was compared to the latest version of the regional climate model RACMO2.3p2, run over the Antarctic Peninsula at 5.5-km horizontal resolution. A föhn identification scheme based on observed wind conditions was employed to check for model biases in föhn representation. Seasonal variation in total föhn event duration was resolved with sufficient skill. The analysis was extended to the model period (1979–2016) to obtain a multidecadal perspective of föhn occurrence over Larsen C ice shelf. Föhn occurrence at Cabinet Inlet strongly correlates with near-surface air temperature, and both are found to relate strongly to the location and strength of the Amundsen Sea Low. Furthermore, we demonstrated that föhn occurrence over Larsen C ice shelf shows high variability in space and time. Full article
(This article belongs to the Special Issue Cryosphere in and around Regional Climate Models)
Figures

Figure 1

Back to Top