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首页> 外文期刊>Journal of hydrometeorology >Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model
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Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model

机译：探索陆地模型光合作用和气孔抗性参数的敏感性

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Land surface models, like the Common Land Model component of the ParFlow integrated hydrologic model (PF-CLM), are used to estimate transpiration from vegetated surfaces. Transpiration rates quantify how much water moves from the subsurface through the plant and into the atmosphere. This rate is controlled by the stomatal resistance term in land surface models. The Ball-Berry stomatal resistance parameterization relies, in part, on the rate of photosynthesis, and together these equations require the specification of 20 input parameters. Here, the active subspace method is applied to 2100 year-long PF-CLM simulations, forced by atmospheric data from California, Colorado, and Oklahoma, to identify which input parameters are important and how they relate to three quantities of interest: transpiration, stomatal resistance from the sunlit portion of the canopy, and stomatal resistance from the shaded portion. The slope (mp) and intercept (bp) parameters associated with the Ball-Berry parameterization are consistently important for all locations, along with five parameters associated with ribulose bisphosphate carboxylase/oxygenase (RuBisCO)-and light-limited rates of photosynthesis [CO2 Michaelis-Menten constant at 25 degrees C (kc25), maximum ratio of oxygenation to carboxylation (ocr), quantum efficiency at 25 degrees C(qe25), maximum rate of carboxylation at 25 degrees C(vcmx25), and multiplier in the denominator of the equation used to compute the light-limited rate of photosynthesis (wj1)]. The importance of these input parameters, quantified by the active variable weight, and the relationship between the input parameters and quantities of interest vary seasonally and diurnally. Input parameter values influence transpiration rates most during midday, summertime hours when fluxes are large. This research informs model users about which photosynthesis and stomatal resistance parameters should be more carefully selected. Quantifying sensitivities associated with the stomatal resistance term is necessary to better understand transpiration estimates from land surface models.
机译：像陆地表面模型一样，与Parflow综合水文模型（PF-CLM）的共同陆地模型成分一样，用于估计植被表面的蒸腾。蒸腾率量化了通过植物和大气层从地下移动的水。该速率由地表模型中的气孔抵抗项控制。球形浆果气孔电阻参数化部分依次依据光合作用速率，并且这些方程式在一起需要20个输入参数的规范。在这里，将活跃的子空间方法应用于来自加利福尼亚，科罗拉多州和俄克拉荷马州的大气数据，从加利福尼亚州，科罗拉多州和俄克拉荷马州的大气数据施加到2100年的PF-CLM模拟中，以确定哪些输入参数是重要的，以及它们与三种兴趣如何：蒸腾，气孔从遮阳篷的遮光下的抗性，以及来自阴影部分的气孔阻力。与球浆浆化参数化相关的斜率（MP）和截距（BP）参数对所有位置始终是重要的，以及与核苷酸二磷酸羧酸羧酸酯/氧酶（Rubisco）相关的五个参数 - 和光合作用的无限值率[CO2 MICHAELIS在25摄氏度（KC25），氧化与羧化（OCR）的最大比例，在25摄氏度（QE25）的量子效率，在25摄氏度（VCMX25）的最大速率下，羧化的最大速率和掺量分数用于计算光合作用速率（WJ1）的可放射性速率的等式。这些输入参数的重要性，通过有源可变权重量化，以及输入参数与感兴趣的数量之间的关系在季节性和昼夜变化。输入参数值在午间影响蒸腾速率，汇流量大的夏季时间。本研究通知模型用户应更仔细地选择光合作用和气孔阻力参数。为更好地理解陆地表面模型的蒸发估计是必要的量化与气孔抗性术语的敏感性。

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