Advanced

Cyclone Activity in the Arctic From an Ensemble of Regional Climate Models (Arctic CORDEX)

Akperov, Mirseid ; Rinke, Annette ; Mokhov, Igor I. ; Matthes, Heidrun ; Semenov, Vladimir A. ; Adakudlu, Muralidhar ; Cassano, John ; Christensen, Jens H. ; Dembitskaya, Mariya A. and Dethloff, Klaus , et al. (2018) In Journal of Geophysical Research: Atmospheres 123(5). p.2537-2554
Abstract

The ability of state-of-the-art regional climate models to simulate cyclone activity in the Arctic is assessed based on an ensemble of 13 simulations from 11 models from the Arctic-CORDEX initiative. Some models employ large-scale spectral nudging techniques. Cyclone characteristics simulated by the ensemble are compared with the results forced by four reanalyses (ERA-Interim, National Centers for Environmental Prediction-Climate Forecast System Reanalysis, National Aeronautics and Space Administration-Modern-Era Retrospective analysis for Research and Applications Version 2, and Japan Meteorological Agency-Japanese 55-year reanalysis) in winter and summer for 1981-2010 period. In addition, we compare cyclone statistics between... (More)

The ability of state-of-the-art regional climate models to simulate cyclone activity in the Arctic is assessed based on an ensemble of 13 simulations from 11 models from the Arctic-CORDEX initiative. Some models employ large-scale spectral nudging techniques. Cyclone characteristics simulated by the ensemble are compared with the results forced by four reanalyses (ERA-Interim, National Centers for Environmental Prediction-Climate Forecast System Reanalysis, National Aeronautics and Space Administration-Modern-Era Retrospective analysis for Research and Applications Version 2, and Japan Meteorological Agency-Japanese 55-year reanalysis) in winter and summer for 1981-2010 period. In addition, we compare cyclone statistics between ERA-Interim and the Arctic System Reanalysis reanalyses for 2000-2010. Biases in cyclone frequency, intensity, and size over the Arctic are also quantified. Variations in cyclone frequency across the models are partly attributed to the differences in cyclone frequency over land. The variations across the models are largest for small and shallow cyclones for both seasons. A connection between biases in the zonal wind at 200 hPa and cyclone characteristics is found for both seasons. Most models underestimate zonal wind speed in both seasons, which likely leads to underestimation of cyclone mean depth and deep cyclone frequency in the Arctic. In general, the regional climate models are able to represent the spatial distribution of cyclone characteristics in the Arctic but models that employ large-scale spectral nudging show a better agreement with ERA-Interim reanalysis than the rest of the models. Trends also exhibit the benefits of nudging. Models with spectral nudging are able to reproduce the cyclone trends, whereas most of the nonnudged models fail to do so. However, the cyclone characteristics and trends are sensitive to the choice of nudged variables.

(Less)
Please use this url to cite or link to this publication:
author
, et al. (More)
(Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Arctic, CORDEX, Cyclones, RCM, Reanalyses, Spectral nudging
in
Journal of Geophysical Research: Atmospheres
volume
123
issue
5
pages
2537 - 2554
publisher
Wiley-Blackwell
external identifiers
  • scopus:85043376466
ISSN
2169-8996
DOI
10.1002/2017JD027703
language
English
LU publication?
yes
id
688d1a8b-20b5-4f8b-9b82-af744e771078
date added to LUP
2018-03-23 09:45:30
date last changed
2020-01-22 07:00:43
@article{688d1a8b-20b5-4f8b-9b82-af744e771078,
  abstract     = {<p>The ability of state-of-the-art regional climate models to simulate cyclone activity in the Arctic is assessed based on an ensemble of 13 simulations from 11 models from the Arctic-CORDEX initiative. Some models employ large-scale spectral nudging techniques. Cyclone characteristics simulated by the ensemble are compared with the results forced by four reanalyses (ERA-Interim, National Centers for Environmental Prediction-Climate Forecast System Reanalysis, National Aeronautics and Space Administration-Modern-Era Retrospective analysis for Research and Applications Version 2, and Japan Meteorological Agency-Japanese 55-year reanalysis) in winter and summer for 1981-2010 period. In addition, we compare cyclone statistics between ERA-Interim and the Arctic System Reanalysis reanalyses for 2000-2010. Biases in cyclone frequency, intensity, and size over the Arctic are also quantified. Variations in cyclone frequency across the models are partly attributed to the differences in cyclone frequency over land. The variations across the models are largest for small and shallow cyclones for both seasons. A connection between biases in the zonal wind at 200 hPa and cyclone characteristics is found for both seasons. Most models underestimate zonal wind speed in both seasons, which likely leads to underestimation of cyclone mean depth and deep cyclone frequency in the Arctic. In general, the regional climate models are able to represent the spatial distribution of cyclone characteristics in the Arctic but models that employ large-scale spectral nudging show a better agreement with ERA-Interim reanalysis than the rest of the models. Trends also exhibit the benefits of nudging. Models with spectral nudging are able to reproduce the cyclone trends, whereas most of the nonnudged models fail to do so. However, the cyclone characteristics and trends are sensitive to the choice of nudged variables.</p>},
  author       = {Akperov, Mirseid and Rinke, Annette and Mokhov, Igor I. and Matthes, Heidrun and Semenov, Vladimir A. and Adakudlu, Muralidhar and Cassano, John and Christensen, Jens H. and Dembitskaya, Mariya A. and Dethloff, Klaus and Fettweis, Xavier and Glisan, Justin and Gutjahr, Oliver and Heinemann, Günther and Koenigk, Torben and Koldunov, Nikolay V. and Laprise, René and Mottram, Ruth and Nikiéma, Oumarou and Scinocca, John F. and Sein, Dmitry and Sobolowski, Stefan and Winger, Katja and Zhang, Wenxin},
  issn         = {2169-8996},
  language     = {eng},
  number       = {5},
  pages        = {2537--2554},
  publisher    = {Wiley-Blackwell},
  series       = {Journal of Geophysical Research: Atmospheres},
  title        = {Cyclone Activity in the Arctic From an Ensemble of Regional Climate Models (Arctic CORDEX)},
  url          = {http://dx.doi.org/10.1002/2017JD027703},
  doi          = {10.1002/2017JD027703},
  volume       = {123},
  year         = {2018},
}