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A Photosynthesis-based Two-leaf Canopy Stomatal Conductance Model for Meteorology and Air Quality Modeling with WRF/CMAQ PX LSM

机译:基于光合作用的两叶冠层气孔导度模型用于气象学和WRF / CMAQ PX LSM的空气质量建模

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摘要

A coupled photosynthesis-stomatal conductance model with single layer sunlit and shaded leaf canopy scaling is developed for the Pleim-Xiu land surface model (LSM) option in the meteorology and air quality modeling system - WRF/CMAQ (Weather Research and Forecast model and Community Multiscale Air Quality model). The photosynthesis-based model for the PX LSM (PX PSN) is implemented and evaluated in a diagnostic box model that has evapotranspiration and ozone deposition components taken directly from WRF/CMAQ. We evaluate PX PSN for latent heat (LH) estimation at four FLUXNET sites with different vegetation types and landscape characteristics and at one FLUXNET site with ozone flux measurements against the simple Jarvis approach used in the current PX LSM. Overall, the PX PSN simulates LH as well as the PX Jarvis approach. The PX PSN, however, shows distinct advantages over the PX Jarvis approach on grassland that likely results from its treatment of C3 and C4 plants for CO2 assimilation estimation. Simulations using Moderate Resolution Imaging Spectroradiometer (MODIS) LAI rather than LAI observations assess how the model would perform with the grid averaged data available in the Eulerian grid model (WRF/CMAQ). While MODIS LAI generally follows the seasonality of the observed LAI, it cannot capture the extreme highs and lows of the site measurements. MODIS LAI estimates degrade model performance at all sites but one site having old and tall trees. Ozone deposition velocity and ozone flux along with LH are simulated especially well by PX PSN as compared to significant PX Jarvis overestimation.
机译:针对气象和空气质量建模系统中的Pleim-Xiu地表模型(LSM)选项,开发了具有单层阳光照射和阴影的叶冠缩放比例的光合作用-气孔电导率耦合模型-WRF / CMAQ(天气研究和预报模型及社区)多尺度空气质量模型)。 PX LSM(PX PSN)的基于光合作用的模型是在诊断箱模型中实现和评估的,该模型具有直接从WRF / CMAQ提取的蒸散量和臭氧沉积成分。我们评估了PX PSN在四个具有不同植被类型和景观特征的FLUXNET站点上以及一个FLUXNET站点上的潜热(LH)估计,这与当前PX LSM中使用的简单Jarvis方法进行了臭氧通量测量。总体而言,PX PSN可以模拟LH以及PX Jarvis方法。然而,PX PSN在草原上显示出优于PX Jarvis方法的独特优势,这可能是由于对C3和C4植物进行处理以进行CO2同化估算的结果。使用中等分辨率成像光谱仪(MODIS)LAI而不是LAI观测进行的仿真评估了该模型在欧拉网格模型(WRF / CMAQ)中可用的网格平均数据下的性能。尽管MODIS LAI通常遵循观察到的LAI的季节性,但是它无法捕获站点测量值的极端高点和低点。 MODIS LAI估计,除一个拥有老树和高大树木的站点外,所有站点的模型性能都会下降。与重要的PX Jarvis高估相比,PX PSN可以很好地模拟臭氧沉积速度和臭氧通量以及LH。

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