Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4
Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4
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DOI：
10.1111/gcb.12948
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发表时间：
2015-09-01
影响因子：
11.6
通讯作者：
Frankenberg, Christian
中科院分区：
文献类型：
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作者：
Lee, Jung-Eun;Berry, Joseph A.;Frankenberg, Christian
一些研究表明，卫星对太阳引起的叶绿素荧光的检索提供了关于陆地光合作用或初级生产总值的有用信息。在这里，我们已经纳入方程耦合SIF光合作用在陆地表面模型，国家大气研究中心社区陆地模型版本4（NCAR CLM 4），并已证明其作为诊断工具，用于评估光合作用的计算，在陆地表面模型中的一个关键过程，强烈影响碳，水和能量循环。通过比较SIF的正向模拟，基本上是光合作用的副产品，在CLM 4与实际SIF的观测，有可能检查模型是否准确地代表光合作用和耦合到它的过程。我们提供了一些关于SIF如何耦合到光合作用的背景，描述了SIF如何被纳入CLM 4，并证明我们模拟的SIF和GPP值之间的关系是合理的，当与卫星（温室气体观测卫星; GOSAT）和现场通量塔测量。CLM 4高估了热带森林的SIF，我们表明，这种错误可以通过调整CLM 4中热带森林指定的最大羧化速率（V-max）来纠正。我们的研究证实，SIF具有改善光合作用模拟的潜力，从而可以在改善陆地表面和碳循环模型中发挥关键作用。
Several studies have shown that satellite retrievals of solar-induced chlorophyll fluorescence (SIF) provide useful information on terrestrial photosynthesis or gross primary production (GPP). Here, we have incorporated equations coupling SIF to photosynthesis in a land surface model, the National Center for Atmospheric Research Community Land Model version 4 (NCAR CLM4), and have demonstrated its use as a diagnostic tool for evaluating the calculation of photosynthesis, a key process in a land surface model that strongly influences the carbon, water, and energy cycles. By comparing forward simulations of SIF, essentially as a byproduct of photosynthesis, in CLM4 with observations of actual SIF, it is possible to check whether the model is accurately representing photosynthesis and the processes coupled to it. We provide some background on how SIF is coupled to photosynthesis, describe how SIF was incorporated into CLM4, and demonstrate that our simulated relationship between SIF and GPP values are reasonable when compared with satellite (Greenhouse gases Observing SATellite; GOSAT) and in situ flux-tower measurements. CLM4 overestimates SIF in tropical forests, and we show that this error can be corrected by adjusting the maximum carboxylation rate (V-max) specified for tropical forests in CLM4. Our study confirms that SIF has the potential to improve photosynthesis simulation and thereby can play a critical role in improving land surface and carbon cycle models.