Modelling past sea ice changes

Goosse, Hugues; Roche, Didier M.; Mairesse, Aurélien; Berger, M.

doi:10.1016/j.quascirev.2013.03.011

Cited by 31 publications

(23 citation statements)

References 112 publications

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“…As presented by Goosse et al (2013) in the present issue, the models, on average, simulate a sea ice extent in reasonably good agreement with modern observations, at least for the Arctic, although some models have large biases. However, the ability of models to reproduce the mean present state does not guarantee adequate prediction under different forcing as shown both by the simulation of the ongoing sea ice decrease (e.g.…”

Section: Sea Ice In the Global System: Modeling Challengessupporting

confidence: 77%

“…However, the ability of models to reproduce the mean present state does not guarantee adequate prediction under different forcing as shown both by the simulation of the ongoing sea ice decrease (e.g. Massonnet et al, 2012;Stroeve et al, 2012a,b) and that of past intervals, such as the Last Glacial Maximum and the mid Holocene as shown by Goosse et al (2013) in this volume. Hence, testing sea ice modeling by comparison with proxy data for past intervals is a very valuable tool for examining processes and gaining condence with the physical representation of sea ice in the models under different conditions.…”

Section: Sea Ice In the Global System: Modeling Challengesmentioning

confidence: 95%

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Sea ice in the paleoclimate system: the challenge of reconstructing sea ice from proxies – an introduction

Vernal

Gersonde

Goosse

et al. 2013

Quaternary Science Reviews

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a b s t r a c tSea ice is an important component of the Earth system with complex dynamics imperfectly documented from direct observations, which are primarily limited to the last 40 years. Whereas large amplitude variations of sea ice have been recorded, especially in the Arctic, with a strikingly fast decrease in recent years partly attributed to the impact of anthropogenic climate changes, little is known about the natural variability of the sea ice cover at multi-decadal to multi-millennial time scales. Hence, there is a need to establish longer sea ice time series to document the full range of sea ice variations under natural forcings. To do this, several approaches based on biogenic or geochemical proxies have been developed from marine, ice core and coastal records. The status of the sea ice proxies has been discussed by the Sea Ice Proxy (SIP) working group endorsed by PAGES during a rst workshop held at GEOTOP in Montréal. The present volume contains a set of papers addressing various sea ice proxies and their application to large scale sea ice reconstruction. Here we summarize the contents of the volume, including a table of various proxies available in marine sediments and ice cores, with their possibilities and limitations.

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Section: Sea Ice In the Global System: Modeling Challengessupporting

confidence: 77%

Section: Sea Ice In the Global System: Modeling Challengesmentioning

confidence: 95%

Sea ice in the paleoclimate system: the challenge of reconstructing sea ice from proxies – an introduction

Vernal

Gersonde

Goosse

et al. 2013

Quaternary Science Reviews

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“…In qualitative agreement with data, models simulate less sea ice extent in summer during the MH as compared to the pre-industrial (hereafter PI) conditions, following the higher summer insolation Goosse et al, 2013). However, no quantitative estimate of the agreement exists up to now, given the lack of a consistent quantitative sea ice reconstruction covering the Arctic.…”

Section: F Klein Et Al: Sea Ice Data Assimilation In the Mid-holocenementioning

confidence: 68%

“…Funder et al, 2011;Müller et al, 2012) and modelling (e.g. Goosse et al, 2013;Berger et al, 2013). This allows us, amongst other things, to contextualize the recent climate changes, to validate climate models results and to improve the physical understanding of the system Braconnot et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration

et al. 2014

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Abstract.The consistency between new quantitative reconstructions of Arctic sea ice concentration based on dinocyst assemblages and the results of climate models has been investigated for the mid-Holocene. The response of the models mainly follows the increase in summer insolation, modulated to a limited extent by changes in atmospheric circulation. This leads to differences between regions in the models that are smaller than in the reconstruction. It is, however, impossible to precisely assess the models' skills because the sea ice concentration changes at the mid-Holocene are small in both the reconstructions and the models and of the same order of magnitude as the reconstruction uncertainty. Performing simulations with data assimilation using the model LOVECLIM amplifies the regional differences and improves the modeldata agreement as expected. This is mainly achieved through a reduction of the southward winds in the Barents Sea and an increase in the westerly winds in the Canadian Basin, inducing an increase in the ice concentration in the Barents and Chukchi seas. This underlines the potential role of atmospheric circulation in explaining the reconstructed changes during the Holocene.

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“…Its high albedo and low thermal conductivity are key to (i) reflect a large part of the incoming solar radiation (albedo feedback); (ii) prevent heat transfers from the relatively warm ocean to the cold atmosphere in autumn and winter (conduction feedback) and (iii) prevent the atmospheric boundary layer from picking up moisture (cloud-ice feedback). Furthermore, (iv) ASI influences the formation of deep water in the North Atlantic [8]. Together with feedbacks linked to the presence of snow and ice on land, these processes constitute an important component of the large temperature oscillations recorded in the Arctic (i.e.…”

Section: Introductionmentioning

confidence: 99%

Effects of sea ice on Arctic biota: an emerging crisis discipline

Macias‐Fauria

Post

2018

Biol. Lett.

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The rapid decline in Arctic sea ice (ASI) extent, area and volume during recent decades is occurring before we can understand many of the mechanisms through which ASI interacts with biological processes both at sea and on land. As a consequence, our ability to predict and manage the effects of this enormous environmental change is limited, making this a Here, we propose a framework to study these effects, defining as those acting on life-history events of Arctic biota, and , where ASI acts upon biological systems through chains of events, normally involving other components of the physical system and/or biotic interactions. Given the breadth and complexity of ASI's effects on Arctic biota, Arctic research requires a truly multidisciplinary approach to address this issue. In the absence of effective global efforts to tackle anthropogenic global warming, ASI will likely continue to decrease, compromising the conservation of many ASI-related taxonomic groups and ecosystems. Mitigation actions will rely heavily on the knowledge acquired on the mechanisms and components involved with the biological effects of ASI.

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Modelling past sea ice changes

Cited by 31 publications

References 112 publications

Sea ice in the paleoclimate system: the challenge of reconstructing sea ice from proxies – an introduction

Sea ice in the paleoclimate system: the challenge of reconstructing sea ice from proxies – an introduction

Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration

Effects of sea ice on Arctic biota: an emerging crisis discipline

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