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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Improving Estimates of Gross Primary Productivity by Assimilating Solar-Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process-Based SIF Model
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Improving Estimates of Gross Primary Productivity by Assimilating Solar-Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process-Based SIF Model

机译：通过基于过程的SIF模型在陆地生物圈模型中吸收太阳能诱导的荧光卫星检索来改善总初级生产力的估计

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摘要

Over the last few years, solar-induced chlorophyll fluorescence (SIF) observations from space have emerged as a promising resource for evaluating the spatio-temporal distribution of gross primary productivity (GPP) simulated by global terrestrial biosphere models. SIF can be used to improve GPP simulations by optimizing critical model parameters through statistical Bayesian data assimilation techniques. A prerequisite is the availability of a functional link between GPP and SIF in terrestrial biosphere models. Here we present the development of a mechanistic SIF observation operator in the ORCHIDEE (Organizing Carbon and Hydrology In Dynamic Ecosystems) terrestrial biosphere model. It simulates the regulation of photosystem II fluorescence quantum yield at the leaf level thanks to a novel parameterization of non-photochemical quenching as a function of temperature, photosynthetically active radiation, and normalized quantum yield of photochemistry. It emulates the radiative transfer of chlorophyll fluorescence to the top of the canopy using a parametric simplification of the SCOPE (Soil Canopy Observation Photosynthesis Energy) model. We assimilate two years of monthly OCO-2 (Orbiting Carbon Observatory-2) SIF product at 0.5° (2015-2016) to optimize ORCHIDEE photosynthesis and phenological parameters over an ensemble of grid points for all plant functional types. The impact on the simulated GPP is considerable with a large decrease of the global scale budget by 28 GtC/year over the period 1990-2009. The optimized GPP budget (134/136 GtC/year over 1990-2009/2001-2009) remarkably agrees with independent GPP estimates, FLUXSAT (137 GtC/year over 2001-2009) in particular and FLUXCOM (121 GtC/year over 1990- 2009). Our results also suggest a biome dependency of the SIF-GPP relationship that needs to be improved for some plant functional types.
机译：在过去的几年中，太阳能诱导的叶绿素荧光（SIF）从太空中观察到了用于评估全球陆地生物圈模型模拟的总初级生产率（GPP）的时空分布的有希望的资源。 SIF可用于通过统计贝叶斯数据同化技术优化关键模型参数来改善GPP模拟。先决条件是GPP和SIF在地面生物圈模型之间的功能链接的可用性。在这里，我们展示了机械SIF观察操作员在陆域（动态生态系统中的组织碳和水文）的发展陆地生物圈模型。它通过作为温度，光化学活跃的辐射和标准化量子产量的光化学的非光化学猝灭的新颖参数化，模拟叶片水平的照相系统II荧光量子产量的调节。使用参数简化范围（土壤冠层观察光合能量）模型，它模拟叶绿素荧光到冠层顶部的辐射转移。我们在0.5°（2015-2016）的0.5°（2015-2016）中同化两年的每月OCO-2（轨道碳观察-2）SIF产品，以优化所有植物功能类型的网格点的集成果实光合作用和鉴效性。在1990 - 2009年期间，全球规模预算的全球规模预算较大，对模拟GPP的影响很大。优化的GPP预算（超过1990-2009 / 2001-2009的134/136 GTC /年）显着同意独立的GPP估计，普遍存在（2001年至2009年的137个GTC /年），特别是Fluxcom（121 GTC / 1990年） 2009）。我们的结果还提出了对于某些植物功能类型需要改善的SIF-GPP关系的生物群集依赖性。

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  • 作者

    C. Bacour; F. Maignan; N. MacBean; A. Porcar-Castell; J. Flexas; C. Frankenberg; P. Peylin; F. Chevallier; N. Vuichard; V. Bastrikov;

  • 作者单位

    NOVELTIS Labège France;

    Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif sur Yvette France;

    Department of Geography Indiana University Bloomington IN USA;

    Optics of Photosynthesis Laboratory Institute for Atmospheric and Earth System Research/Forest Sciences University of Helsinki Helsinki Finland;

    Research Group on Plant Biology under Mediterranean Conditions Universitat de les Illes Balears - Instituto de Investigaciones Agroambientales y de Economía del Agua Palma Spain;

    Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA;

    Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif sur Yvette France;

    Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif sur Yvette France;

    Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif sur Yvette France;

    Laboratoire des Sciences du Climat et de l'Environnement LSCE/IPSL CEA-CNRS-UVSQ Université Paris-Saclay Gif sur Yvette France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物分布与生物地理学;
  • 关键词

    Improving Estimates; Gross Primary Productivity; Assimilating Solar-Induced;

    机译：改善估计;总初级生产力;吸收太阳能诱导的;

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