Arctic budget study of intermember variability using HIRHAM5 ensemble simulations

One of the challenges in evaluating and applying regional climate models (RCMs) is the nonlinear behavior of atmospheric processes, which is still poorly understood. The nonlinearities induce chaos which leads to an internal variability in the model. Therefore, an ensemble of RCM simulations has bee...

Full description

Bibliographic Details
Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Sommerfeld, Anja, Nikiema, Oumarou, Rinke, Annette, Dethloff, Klaus, Laprise, René
Format: Text
Language:English
Published: 2015
Subjects:
Online Access:http://www.archipel.uqam.ca/8041/1/Sommerfeld_et_al-2015-JGR__Atmospheres.pdf
id ftunivquebec:oai:www.archipel.uqam.ca:8041
record_format openpolar
spelling ftunivquebec:oai:www.archipel.uqam.ca:8041 2023-05-15T14:33:48+02:00 Arctic budget study of intermember variability using HIRHAM5 ensemble simulations Sommerfeld, Anja Nikiema, Oumarou Rinke, Annette Dethloff, Klaus Laprise, René 2015-09 application/pdf http://www.archipel.uqam.ca/8041/1/Sommerfeld_et_al-2015-JGR__Atmospheres.pdf en eng http://www.archipel.uqam.ca/8041/ http://dx.doi.org/10.1002/2015JD023153 doi:10.1002/2015JD023153 Internal variability regional climate model ensemble simulations Arctic great Arctic cyclone Article de revue scientifique PeerReviewed 2015 ftunivquebec https://doi.org/10.1002/2015JD023153 2016-08-20T07:50:31Z One of the challenges in evaluating and applying regional climate models (RCMs) is the nonlinear behavior of atmospheric processes, which is still poorly understood. The nonlinearities induce chaos which leads to an internal variability in the model. Therefore, an ensemble of RCM simulations has been run and a budget study for potential temperature has been applied to investigate the internally generated variability. Hence, the physical processes associated with diabatic and dynamical terms inducing the intermember variability have been analyzed. The study is applied over the Arctic on an ensemble of 20 members, differing in their initial conditions, simulated with the RCM HIRHAM5 during summer 2012. This time period is of particular importance because of the melting sea ice and its influence on atmospheric circulation and the resulting effect on the intermember variability. The amplitude of the intermember variability of the simulations fluctuates strongly both temporally and spatially. During the beginning of August 2012 the intermember variability is strongest and coincides with the great Arctic cyclone event. The most important contributions for the intermember variability tendency are the horizontal and vertical “baroclinic” terms. Both terms have largest absolute values along the coastlines of the Arctic Ocean which are associated with the Arctic frontal zone leading to the cyclone maximum over the Arctic Ocean during summer. Text Arctic Arctic Ocean Sea ice UQAM - Université du Québec à Montréal: archipel Arctic Arctic Ocean Journal of Geophysical Research: Atmospheres 120 18 9390 9407
institution Open Polar
collection UQAM - Université du Québec à Montréal: archipel
op_collection_id ftunivquebec
language English
topic Internal variability
regional climate model
ensemble simulations
Arctic
great Arctic cyclone
spellingShingle Internal variability
regional climate model
ensemble simulations
Arctic
great Arctic cyclone
Sommerfeld, Anja
Nikiema, Oumarou
Rinke, Annette
Dethloff, Klaus
Laprise, René
Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
topic_facet Internal variability
regional climate model
ensemble simulations
Arctic
great Arctic cyclone
description One of the challenges in evaluating and applying regional climate models (RCMs) is the nonlinear behavior of atmospheric processes, which is still poorly understood. The nonlinearities induce chaos which leads to an internal variability in the model. Therefore, an ensemble of RCM simulations has been run and a budget study for potential temperature has been applied to investigate the internally generated variability. Hence, the physical processes associated with diabatic and dynamical terms inducing the intermember variability have been analyzed. The study is applied over the Arctic on an ensemble of 20 members, differing in their initial conditions, simulated with the RCM HIRHAM5 during summer 2012. This time period is of particular importance because of the melting sea ice and its influence on atmospheric circulation and the resulting effect on the intermember variability. The amplitude of the intermember variability of the simulations fluctuates strongly both temporally and spatially. During the beginning of August 2012 the intermember variability is strongest and coincides with the great Arctic cyclone event. The most important contributions for the intermember variability tendency are the horizontal and vertical “baroclinic” terms. Both terms have largest absolute values along the coastlines of the Arctic Ocean which are associated with the Arctic frontal zone leading to the cyclone maximum over the Arctic Ocean during summer.
format Text
author Sommerfeld, Anja
Nikiema, Oumarou
Rinke, Annette
Dethloff, Klaus
Laprise, René
author_facet Sommerfeld, Anja
Nikiema, Oumarou
Rinke, Annette
Dethloff, Klaus
Laprise, René
author_sort Sommerfeld, Anja
title Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
title_short Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
title_full Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
title_fullStr Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
title_full_unstemmed Arctic budget study of intermember variability using HIRHAM5 ensemble simulations
title_sort arctic budget study of intermember variability using hirham5 ensemble simulations
publishDate 2015
url http://www.archipel.uqam.ca/8041/1/Sommerfeld_et_al-2015-JGR__Atmospheres.pdf
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_relation http://www.archipel.uqam.ca/8041/
http://dx.doi.org/10.1002/2015JD023153
doi:10.1002/2015JD023153
op_doi https://doi.org/10.1002/2015JD023153
container_title Journal of Geophysical Research: Atmospheres
container_volume 120
container_issue 18
container_start_page 9390
op_container_end_page 9407
_version_ 1766306998404513792