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Validation of the nesting technique in a regional climate model and sensitivity tests to the resolution of the lateral boundary conditions during summer

机译:在区域气候模型中验证嵌套技术,并对夏季横向边界条件的分辨率进行敏感性测试

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The ability of a regional climate model (RCM) to successfully reproduce the fine-scale features of a regional climate during summer is evaluated using an approach nick-named the "Big-Brother Experiment" (BBE). The BBE establishes a reference virtual-reality climate with a RCM applied on a large and high-resolution domain: this simulation is called the Big-Brother (BB) simulation. This reference simulation is then downgraded by filtering small-scale features that are unresolved in today's global objective analyses. The resulting fields are then used as nesting data to drive the same RCM, which is integrated, at the same high resolution as the BB, only over a sub-area of the larger BB domain, hence, producing the Little-Brother simulation (LB). With the BBE approach, differences between the two simulated climates (BB and LB) can be unambiguously attributed to errors associated with the dynamical downscaling technique, and not to model errors or observational limitations. The current study focuses on the summer over the West Coast of North America. Results of the stationary and transient parts of the fields, decomposed by horizontal scales, are presented for the month of July, for 5 consecutive years (1990-1994). Three degrees of spatial filtering (roughly equivalent to the global spectral resolution of T30, T60 and T360) as well as two update intervals (3 and 6 h) of the lateral boundary conditions (LBC) have been employed. This study establishes that the maximum acceptable resolution of driving data for summer is T30, with improved results employing the T60 resolution of LBC. There is little improvement by reducing the time interval from 6 h to 3 h. These results are generally in agreement with previous studies carried out for winter. The good correlation between LB and BB simulations is more difficult to achieve during the summer season, mostly due to weaker control exerted by LBC. Poor correlations are more pronounced for the transient parts than they are for the stationary parts of the fields. This is especially true for the precipitation field, where differences can be attributed to higher temporal variability during the summer due to the presence of convection.
机译:使用昵称“大兄弟实验”(BBE)的方法评估了区域气候模型(RCM)在夏季成功重现区域气候的精细尺度特征的能力。 BBE通过将RCM应用于大型和高分辨率域来建立参考虚拟现实气候:此模拟称为Big-Brother(BB)模拟。然后,通过过滤在当今全球目标分析中未解决的小尺度特征来降低此参考仿真的等级。然后,将所得的字段用作嵌套数据以驱动相同的RCM,该RCM仅在较大BB域的子区域上以与BB相同的高分辨率进行集成,因此产生了Little-Brother模拟(LB )。使用BBE方法,可以将两种模拟气候(BB和LB)之间的差异明确地归因于与动态降尺度技术相关的误差,而不是模型误差或观测限制。当前的研究集中在北美西海岸的夏季。连续5年(1990年至1994年)的7月份显示了水平方向分解的油田固定和过渡部分的结果。已采用三度空间滤波(大致相当于T30,T60和T360的整体光谱分辨率)以及横向边界条件(LBC)的两个更新间隔(3和6小时)。这项研究确定,夏季驾驶数据的最大可接受分辨率为T30,采用LBC的T60分辨率可改善结果。将时间间隔从6小时减少到3小时几乎没有改善。这些结果通常与以前对冬季进行的研究一致。夏季,LB和BB模拟之间的良好相关性更难实现,这主要是由于LBC施加的控制力较弱。对于瞬态部分,相关性较差,而对于磁场的静止部分,则较差。对于降水量场尤其如此,在夏季,由于对流的存在,差异可归因于较高的时间变化。

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