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Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges

机译:太阳诱导的叶绿素荧光的价值,用于量化水文态和势态:当前的地位和挑战

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摘要

Predictions of hydrological states and fluxes, especially transpiration, are poorly constrained in hydrological models due to large uncertainties in parameterization and process description. Novel technologies like remote sensing of sun-induced chlorophyll fluorescence (SIF)-which provides information from the photosynthetic apparatus-may help in constraining water cycle components. This paper discusses the nature of the plant physiological basis of the fluorescence signal and analyses the current literature linking hydrological states and fluxes to SIF. Given the connection between photosynthesis and transpiration, through the water use efficiency, SIF may serve as a pertinent constraint for hydrological models. The FLuorescence EXplorer (FLEX) satellite, planned to be launched in 2023, is expected to provide spatially high-resolution measurements of red and far-red SIF complementing the products from existing satellite missions and the high-temporal resolution products from upcoming geostationary missions. This new data stream may allow us to better constrain plant transpiration, assess the impacts of water stress on plants, and infer processes occurring in the root zone through the soil-plant water column. To make optimal use of this data, progress needs to be made in 1) our process representation of spatially aggregated fluorescence signals from spaceborne SIF instruments, 2) integration of fluorescence processes in hydrological models-particularly when paired with other satellite data, 3) quantifying the impact of soil moisture on SIF across scales, and 4) assessment of the accuracy of SIF measurements-especially from space.
机译:由于参数化和工艺描述的巨大不确定性,水文态和助熔剂的预测在水文模型中受到严重限制。像遥感的新技术,如遥感的叶绿素荧光(SIF) - 从光合装置提供信息 - 可以帮助约束水循环组分。本文讨论了荧光信号的植物生理基础的性质,并分析了当前文献将水文态与助熔剂连接到SIF。鉴于光合作用和蒸腾之间的连接,通过用水效率,SIF可以作为水文模型的相关约束。计划于2023年推出的荧光勘探器(Flex)卫星预计将在越来越多的地球静止任务中提供来自现有卫星任务的产品的空间高分辨率测量红色和远红色SIF。这种新的数据流可以让我们更好地限制植物蒸腾,评估水分胁迫对植物的影响,并通过土壤 - 植物水柱进行根部区域发生的过程。为了使该数据的最佳使用,需要在1)中需要进行的进展,我们的空间综合荧光信号的过程表示来自星生SIF仪器,2)荧光过程在水文模型中的集成 - 特别是当与其他卫星数据配对,3)量化SIF跨越尺度土壤水分对SIF测量精度的影响 - 尤其是空间。

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