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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >The effect of driving climate data on the simulated terrestrial carbon pools and fluxes over North America
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The effect of driving climate data on the simulated terrestrial carbon pools and fluxes over North America

机译:驾驶气候数据对北美模拟陆地碳库和通量的影响

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Dynamic vegetation models provide the ability to simulate terrestrial carbon pools and fluxes and a useful tool to study how these are affected by climate variability and climate change. At the continental scale, the spatial distribution of climate, in particular temperature and precipitation, strongly determines surface vegetation characteristics. Model validation exercises typically consist of driving a model with observation-based climate data and then comparing simulated quantities with their observation-based counterparts. However, observation-based datasets themselves may not necessarily be consistent with each other. Here, we compare simulated terrestrial carbon pools and fluxes over North America with observation-based estimates. Simulations are performed using the dynamic vegetation model Canadian Terrestrial Ecosystem Model (CTEM) coupled to the Canadian Land Surface Scheme (CLASS) when driven with two reanalysis-based climate datasets. The driving ECMWF reanalysis data (ERA40) and NCEP/NCAR reanalysis I data (NCEP) show differences when compared to each other, as well as when compared to the observation-based climate research unit (CRU) data. Most simulated carbon pools and fluxes show important differences, particularly over eastern North America, primarily due to differences in precipitation and temperature in the two reanalysis. However, despite very different gross fluxes, the model yields fairly similar estimates of the net atmosphere-land CO_2 flux when driven with the two forcing datasets. The ERA40 driven simulation produces terrestrial pools and fluxes that compare better with observation-based estimates. These simulations do not take into account land use change or nitrogen deposition, both of which have been shown to enhance the land carbon sink over North America. The simulated sink of 0.5 Pg Cyear~(-1) during the 1980s and 1990s is therefore lower than inversion-based estimates. The analysis of spatial distribution of trends in simulated carbon pools and fluxes shows that the simulated carbon sink is driven primarily by NPP enhancements over eastern United States.
机译:动态植被模型提供了模拟陆地碳库和通量的能力,并且是研究气候变化和气候变化如何影响它们的有用工具。在大陆范围内,气候的空间分布,特别是温度和降水,强烈地决定了地表植被的特征。模型验证练习通常包括使用基于观测的气候数据驱动模型,然后将模拟量与其基于观测的对应物进行比较。但是,基于观察的数据集本身可能不一定彼此一致。在这里,我们将北美地区的模拟陆地碳库和通量与基于观测的估计值进行了比较。当使用两个基于重新分析的气候数据集驱动时,使用动态植被模型“加拿大陆地生态系统模型”(CTEM)和“加拿大陆地表面方案”(CLASS)进行模拟。行驶ECMWF再分析数据(ERA40)和NCEP / NCAR再分析I数据(NCEP)在相互比较以及与基于观测的气候研究单位(CRU)数据相比时显示出差异。大多数模拟碳库和通量显示出重要的差异,尤其是在北美东部地区,这主要是由于两次再分析中降水和温度的差异。但是,尽管总通量相差很大,但是当使用两个强迫数据集进行驱动时,该模型得出的净大气-陆地CO_2通量的估计值非常相似。 ERA40驱动的模拟产生的地面池和通量与基于观测的估计相比更好。这些模拟没有考虑到土地利用的变化或氮的沉积,这两种方法都被证明可以增强北美的土地碳汇。因此,1980年代和1990年代模拟的0.5 Pg Cyear〜(-1)的下沉值低于基于反演的估计值。对模拟碳库和通量趋势变化的空间分布分析表明,模拟碳汇主要由美国东部的NPP增强驱动。

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