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    Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 013::page 5217
    Author:
    Jiang, Lifen
    ,
    Yan, Yaner
    ,
    Hararuk, Oleksandra
    ,
    Mikle, Nathaniel
    ,
    Xia, Jianyang
    ,
    Shi, Zheng
    ,
    Tjiputra, Jerry
    ,
    Wu, Tongwen
    ,
    Luo, Yiqi
    DOI: 10.1175/JCLI-D-14-00270.1
    Publisher: American Meteorological Society
    Abstract: odel intercomparisons and evaluations against observations are essential for better understanding of models? performance and for identifying the sources of uncertainty in their output. The terrestrial vegetation carbon simulated by 11 Earth system models (ESMs) involved in phase 5 of the Coupled Model Intercomparison Project (CMIP5) was evaluated in this study. The simulated vegetation carbon was compared at three distinct spatial scales (grid, biome, and global) among models and against the observations (an updated database from Olson et al.?s ?Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: A Database?). Moreover, the underlying causes of the differences in the models? predictions were explored. Model?data fit at the grid scale was poor but greatly improved at the biome scale. Large intermodel variability was pronounced in the tropical and boreal regions, where total vegetation carbon stocks were high. While 8 out of 11 ESMs reproduced the global vegetation carbon to within 20% uncertainty of the observational estimate (560 ± 112 Pg C), the simulated global totals varied nearly threefold between the models. The goodness of fit of ESMs in simulating vegetation carbon depended strongly on the spatial scales. Sixty-three percent of the variability in contemporary global vegetation carbon stocks across ESMs could be explained by differences in vegetation carbon residence time across ESMs (P < 0.01). The analysis indicated that ESMs? performance of vegetation carbon predictions can be substantially improved through better representation of plant longevity (i.e., carbon residence time) and its respective spatial distributions.
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      Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4223466
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    contributor authorJiang, Lifen
    contributor authorYan, Yaner
    contributor authorHararuk, Oleksandra
    contributor authorMikle, Nathaniel
    contributor authorXia, Jianyang
    contributor authorShi, Zheng
    contributor authorTjiputra, Jerry
    contributor authorWu, Tongwen
    contributor authorLuo, Yiqi
    date accessioned2017-06-09T17:10:26Z
    date available2017-06-09T17:10:26Z
    date copyright2015/07/01
    date issued2015
    identifier issn0894-8755
    identifier otherams-80561.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4223466
    description abstractodel intercomparisons and evaluations against observations are essential for better understanding of models? performance and for identifying the sources of uncertainty in their output. The terrestrial vegetation carbon simulated by 11 Earth system models (ESMs) involved in phase 5 of the Coupled Model Intercomparison Project (CMIP5) was evaluated in this study. The simulated vegetation carbon was compared at three distinct spatial scales (grid, biome, and global) among models and against the observations (an updated database from Olson et al.?s ?Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: A Database?). Moreover, the underlying causes of the differences in the models? predictions were explored. Model?data fit at the grid scale was poor but greatly improved at the biome scale. Large intermodel variability was pronounced in the tropical and boreal regions, where total vegetation carbon stocks were high. While 8 out of 11 ESMs reproduced the global vegetation carbon to within 20% uncertainty of the observational estimate (560 ± 112 Pg C), the simulated global totals varied nearly threefold between the models. The goodness of fit of ESMs in simulating vegetation carbon depended strongly on the spatial scales. Sixty-three percent of the variability in contemporary global vegetation carbon stocks across ESMs could be explained by differences in vegetation carbon residence time across ESMs (P < 0.01). The analysis indicated that ESMs? performance of vegetation carbon predictions can be substantially improved through better representation of plant longevity (i.e., carbon residence time) and its respective spatial distributions.
    publisherAmerican Meteorological Society
    titleScale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon
    typeJournal Paper
    journal volume28
    journal issue13
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-14-00270.1
    journal fristpage5217
    journal lastpage5232
    treeJournal of Climate:;2015:;volume( 028 ):;issue: 013
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian