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      Integrating peatlands into the coupled Canadian Land Surface Scheme (CLASS) v3.6 and the Canadian Terrestrial Ecosystem Model (CTEM) v2.0

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      Geoscientific Model Development
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> Peatlands, which contain large carbon stocks that must be accounted for in the global carbon budget, are poorly represented in many earth system models. We integrated peatlands into the coupled Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM), which together simulate the fluxes of water, energy, and CO<sub>2</sub> at the land surface–atmosphere boundary in the family of Canadian Earth system models (CanESMs). New components and algorithms were added to represent the unique features of peatlands, such as their characteristic ground floor vegetation (mosses), the slow decomposition of carbon in the water-logged soils and the interaction between the water, energy, and carbon cycles. This paper presents the modifications introduced into the CLASS–CTEM modelling framework together with site-level evaluations of the model performance for simulated water, energy and carbon fluxes at eight different peatland sites. The simulated daily gross primary production (GPP) and ecosystem respiration are well correlated with observations, with values of the Pearson correlation coefficient higher than 0.8 and 0.75 respectively. The simulated mean annual net ecosystem production at the eight test sites is 87<span class="thinspace"></span>g<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>yr<sup>−1</sup>, which is 22<span class="thinspace"></span>g<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>yr<sup>−1</sup> higher than the observed annual mean. The general peatland model compares well with other site-level and regional-level models for peatlands, and is able to represent bogs and fens under a range of climatic and geographical conditions.</p>

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          Summarizing multiple aspects of model performance in a single diagram

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            Sensitivity of the carbon cycle in the Arctic to climate change

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              Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years.

              One of the greatest sources of uncertainty for future climate predictions is the response of the global carbon cycle to climate change. Although approximately one-half of total CO(2) emissions is at present taken up by combined land and ocean carbon reservoirs, models predict a decline in future carbon uptake by these reservoirs, resulting in a positive carbon-climate feedback. Several recent studies suggest that rates of carbon uptake by the land and ocean have remained constant or declined in recent decades. Other work, however, has called into question the reported decline. Here we use global-scale atmospheric CO(2) measurements, CO(2) emission inventories and their full range of uncertainties to calculate changes in global CO(2) sources and sinks during the past 50 years. Our mass balance analysis shows that net global carbon uptake has increased significantly by about 0.05 billion tonnes of carbon per year and that global carbon uptake doubled, from 2.4 ± 0.8 to 5.0 ± 0.9 billion tonnes per year, between 1960 and 2010. Therefore, it is very unlikely that both land and ocean carbon sinks have decreased on a global scale. Since 1959, approximately 350 billion tonnes of carbon have been emitted by humans to the atmosphere, of which about 55 per cent has moved into the land and oceans. Thus, identifying the mechanisms and locations responsible for increasing global carbon uptake remains a critical challenge in constraining the modern global carbon budget and predicting future carbon-climate interactions.
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                Author and article information

                Journal
                Geoscientific Model Development
                Geosci. Model Dev.
                Copernicus GmbH
                1991-9603
                2016
                August 11 2016
                : 9
                : 8
                : 2639-2663
                Article
                10.5194/gmd-9-2639-2016
                b95d5ff8-37f4-4cec-ab95-4c92f5ada300
                © 2016

                https://creativecommons.org/licenses/by/3.0/

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