Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes

<p>A new method of sea ice model evaluation is demonstrated. Data from the network of Arctic ice mass balance buoys (IMBs) are used to estimate distributions of vertical energy fluxes over sea ice in two densely sampled regions – the North Pole and Beaufort Sea. The resulting dataset captures...

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Main Authors: A. West, M. Collins, E. Blockley
Format: Article
Language:English
Published: Copernicus Publications 2020-10-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/13/4845/2020/gmd-13-4845-2020.pdf
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spelling doaj-83d03ba3d5354b32a74870e566e982402020-11-25T03:53:16ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-10-01134845486810.5194/gmd-13-4845-2020Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxesA. West0M. Collins1E. Blockley2Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UKCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Stocker Rd, Exeter EX4 4PY, UKMet Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK<p>A new method of sea ice model evaluation is demonstrated. Data from the network of Arctic ice mass balance buoys (IMBs) are used to estimate distributions of vertical energy fluxes over sea ice in two densely sampled regions – the North Pole and Beaufort Sea. The resulting dataset captures seasonal variability in sea ice energy fluxes well, and it captures spatial variability to a lesser extent. The dataset is used to evaluate a coupled climate model, HadGEM2-ES (Hadley Centre Global Environment Model, version 2, Earth System), in the two regions. The evaluation shows HadGEM2-ES to simulate too much top melting in summer and too much basal conduction in winter. These results are consistent with a previous study of sea ice state and surface radiation in this model, increasing confidence in the IMB-based evaluation. In addition, the IMB-based evaluation suggests an additional important cause for excessive winter ice growth in HadGEM2-ES, a lack of sea ice heat capacity, which was not detectable in the earlier study.</p> <p>Uncertainty in the IMB fluxes caused by imperfect knowledge of ice salinity, snow density and other physical constants is quantified (as is inaccuracy due to imperfect sampling of ice thickness) and in most cases is found to be small relative to the model biases discussed. Hence the IMB-based evaluation is shown to be a valuable tool with which to analyse sea ice models and, by extension, better understand the large spread in coupled model simulations of the present-day ice state. Reducing this spread is a key task both in understanding the current rapid decline in Arctic sea ice and in constraining projections of future Arctic sea ice change.</p>https://gmd.copernicus.org/articles/13/4845/2020/gmd-13-4845-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. West
M. Collins
E. Blockley
spellingShingle A. West
M. Collins
E. Blockley
Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
Geoscientific Model Development
author_facet A. West
M. Collins
E. Blockley
author_sort A. West
title Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
title_short Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
title_full Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
title_fullStr Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
title_full_unstemmed Using Arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
title_sort using arctic ice mass balance buoys for evaluation of modelled ice energy fluxes
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2020-10-01
description <p>A new method of sea ice model evaluation is demonstrated. Data from the network of Arctic ice mass balance buoys (IMBs) are used to estimate distributions of vertical energy fluxes over sea ice in two densely sampled regions – the North Pole and Beaufort Sea. The resulting dataset captures seasonal variability in sea ice energy fluxes well, and it captures spatial variability to a lesser extent. The dataset is used to evaluate a coupled climate model, HadGEM2-ES (Hadley Centre Global Environment Model, version 2, Earth System), in the two regions. The evaluation shows HadGEM2-ES to simulate too much top melting in summer and too much basal conduction in winter. These results are consistent with a previous study of sea ice state and surface radiation in this model, increasing confidence in the IMB-based evaluation. In addition, the IMB-based evaluation suggests an additional important cause for excessive winter ice growth in HadGEM2-ES, a lack of sea ice heat capacity, which was not detectable in the earlier study.</p> <p>Uncertainty in the IMB fluxes caused by imperfect knowledge of ice salinity, snow density and other physical constants is quantified (as is inaccuracy due to imperfect sampling of ice thickness) and in most cases is found to be small relative to the model biases discussed. Hence the IMB-based evaluation is shown to be a valuable tool with which to analyse sea ice models and, by extension, better understand the large spread in coupled model simulations of the present-day ice state. Reducing this spread is a key task both in understanding the current rapid decline in Arctic sea ice and in constraining projections of future Arctic sea ice change.</p>
url https://gmd.copernicus.org/articles/13/4845/2020/gmd-13-4845-2020.pdf
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