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Adjoint Sensitivity of Surface Precipitation to Initial Conditions

机译:表面降水对初始条件的伴随敏感性

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The adjoint version of the Global Environmental Multiscale model including a comprehensive package of simplified and linearized physical processes (large-scale condensation, deep moist convection, vertical diffusion, and subgrid-scale orographic effects) is used to evaluate the sensitivity of surface precipitation to initial conditions for up to 24 h for two meteorological systems: a midlatitude front and a tropical cyclone. Such diagnostics are useful to improve the understanding on variational assimilation of precipitation data. In agreement with a similar study, the largest sensitivity is found with respect to the temperature field for both stratiform and convective precipitation. Close to the observation time and for stratiform precipitation, the sensitivity with respect to specific humidity is rather large, which corroborates conclusions from previous one-dimensional variational data assimilation experimentations. The sensitivity is then reduced significantly after the observation time. The sensitivities of surface precipitation to the wind components and to specific humidity are comparable and are at a maximum at the observation time. The sensitivity to the surface pressure is always much smaller than the sensitivity to the other variables. In general, sensitivities are largest at the observation time and then decrease. However, for the midlatitude perturbation, the sensitivity is enhanced after 12 h for stratiform precipitation and also for convective precipitation using a scheme based on the moisture convergence closure. This results from a dynamical coupling upstream of the area of interest through baroclinic instability as evidenced by vertically backward-tilted sensitivities. Such enhancement is not observed for the tropical case. The tangent-linear approximation remains acceptable for accumulated precipitation up to 24 h but is rather poor for instantaneous rain rates. The variational assimilation of accumulated precipitation should thus be favored.
机译:全球环境多尺度模型的伴随版本包括一整套简化和线性化的物理过程(大规模凝结,深湿对流,垂直扩散和亚网格尺度的地形效应),用于评估表面降水对初始降水的敏感性。两个纬度和热带气旋两个气象系统的条件长达24小时。这种诊断方法有助于增进对降水数据变异同化的理解。与类似的研究相一致,对于层状和对流降水,在温度场方面发现了最大的灵敏度。接近观测时间并且对于层状降水,相对湿度的敏感性相当大,这证实了先前一维变分数据同化实验的结论。观察时间过后,灵敏度将显着降低。表面降水对风分量和比湿的敏感性是可比的,并且在观测时最大。对表面压力的敏感度始终比对其他变量的敏感度小得多。通常,灵敏度在观察时最大,然后下降。然而,对于中纬度扰动,采用基于水分收敛封闭的方案,在12 h后对层状降水和对流降水的敏感性都得到了提高。这是由于斜压不稳定性引起感兴趣区域上游的动态耦合所致,如垂直向后倾斜的敏感性所证明的。对于热带病例没有观察到这种增强。切线线性逼近对于累积降水长达24小时仍然是可以接受的,但对于瞬时降雨率却很差。因此,应有利于累积降水的变化同化。

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