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    Modeling the Dynamic Vegetation–Climate System over China Using a Coupled Regional Model

    Source: Journal of Climate:;2018:;volume 031:;issue 015::page 6027
    Author:
    Shi, Ying
    ,
    Yu, Miao
    ,
    Erfanian, Amir
    ,
    Wang, Guiling
    DOI: 10.1175/JCLI-D-17-0191.1
    Publisher: American Meteorological Society
    Abstract: AbstractUsing the Regional Climate Model (RegCM) coupled with the Community Land Model (CLM) including modules of carbon?nitrogen cycling (CN) and vegetation dynamics (DV), this study evaluates the performance of the model with different capacity of representing vegetation processes in simulating the present-day climate over China based on three 21-yr simulations driven with boundary conditions from the ERA-Interim reanalysis data during 1989?2009. For each plant functional type (PFT), the plant pheonology, density, and fractional coverage in RegCM-CLM are all prescribed as static from year to year; RegCM-CLM-CN prescribes static fractional coverage but predicts plant phenology and density, and RegCM-CLM-CN-DV predicts plant phenology, density, and fractional coverage. Compared against the observational data, all three simulations reproduce the present-day climate well, including the wind fields, temperature and precipitation seasonal cycles, extremes, and interannual variabilities. Relative to RegCM-CLM, both RegCM-CLM-CN and RegCM-CLM-CN-DV perform better in simulating the interannual variability of temperature and spatial distribution of mean precipitation, but produce larger biases in the mean temperature field. RegCM-CLM-CN overestimates leaf area index (LAI), which enhances the cold biases and alleviates the dry biases found in RegCM-CLM. RegCM-CLM-CN-DV underestimates vegetation cover and/or stature, and hence overestimates surface albedo, which enhances the wintertime cold and dry biases found in RegM-CLM. During summer, RegCM-CLM-CN-DV overestimates LAI in south and east China, which enhances the cold biases through increased evaporative cooling; in the west where evaporation is low, the albedo effect of the underestimated vegetation cover is still dominant, leading to enhanced cold biases relative to RegCM-CLM.
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      Modeling the Dynamic Vegetation–Climate System over China Using a Coupled Regional Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4262019
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    contributor authorShi, Ying
    contributor authorYu, Miao
    contributor authorErfanian, Amir
    contributor authorWang, Guiling
    date accessioned2019-09-19T10:08:37Z
    date available2019-09-19T10:08:37Z
    date copyright4/30/2018 12:00:00 AM
    date issued2018
    identifier otherjcli-d-17-0191.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262019
    description abstractAbstractUsing the Regional Climate Model (RegCM) coupled with the Community Land Model (CLM) including modules of carbon?nitrogen cycling (CN) and vegetation dynamics (DV), this study evaluates the performance of the model with different capacity of representing vegetation processes in simulating the present-day climate over China based on three 21-yr simulations driven with boundary conditions from the ERA-Interim reanalysis data during 1989?2009. For each plant functional type (PFT), the plant pheonology, density, and fractional coverage in RegCM-CLM are all prescribed as static from year to year; RegCM-CLM-CN prescribes static fractional coverage but predicts plant phenology and density, and RegCM-CLM-CN-DV predicts plant phenology, density, and fractional coverage. Compared against the observational data, all three simulations reproduce the present-day climate well, including the wind fields, temperature and precipitation seasonal cycles, extremes, and interannual variabilities. Relative to RegCM-CLM, both RegCM-CLM-CN and RegCM-CLM-CN-DV perform better in simulating the interannual variability of temperature and spatial distribution of mean precipitation, but produce larger biases in the mean temperature field. RegCM-CLM-CN overestimates leaf area index (LAI), which enhances the cold biases and alleviates the dry biases found in RegCM-CLM. RegCM-CLM-CN-DV underestimates vegetation cover and/or stature, and hence overestimates surface albedo, which enhances the wintertime cold and dry biases found in RegM-CLM. During summer, RegCM-CLM-CN-DV overestimates LAI in south and east China, which enhances the cold biases through increased evaporative cooling; in the west where evaporation is low, the albedo effect of the underestimated vegetation cover is still dominant, leading to enhanced cold biases relative to RegCM-CLM.
    publisherAmerican Meteorological Society
    titleModeling the Dynamic Vegetation–Climate System over China Using a Coupled Regional Model
    typeJournal Paper
    journal volume31
    journal issue15
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0191.1
    journal fristpage6027
    journal lastpage6049
    treeJournal of Climate:;2018:;volume 031:;issue 015
    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
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