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The Development of Ensemble Prediction System in WHIHR

机译:WHIHR中集合预测系统的开发

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@@ A Short-Range Ensemble Forecast system is under development by perturbing initial conditions and lateral boundary conditions based on a regional model, AREM (Advanced Regional Eta Model), which has 11 members in 37km horizontal resolution over China. Two strategies in perturbing IC were compared to examine an optimal approach in building a regional ensemble prediction system (EPS): one is directly applying perturbations from a global EPS to the regional EPS(a downscaling of a global EPS,Sch-l), and another is generating own perturbations by the regional model itself(BGM,Sch-2). The following four results can be seen.(l) By evaluating ensemble spread and probabilistic forecasts, it shows that the "Sch-2" seems to be superior to the "Sch_l" in this preliminary study (Fig.1).(2) No matter what IC perturbation strategies were applied,ensemble-based forecasts, ensemble mean and probabilistic forecasts, are in general outperform single control and operational forecast. (3) The ensemble spread and forecast skill are positively correlated quite well on domain average,the spatial correlation between spread and forecast error is about 40-45% on average.
机译:@@正在通过基于区域模型AREM(高级区域Eta模型)扰动初始条件和横向边界条件来开发短距离集合预报系统,该模型在中国的37 km水平分辨率中具有11个成员。比较了两种干扰IC的策略,以检验构建区域总体预测系统(EPS)的最佳方法:一种是将全球EPS的干扰直接应用于区域EPS(降低全球EPS的规模,Sch-1);以及另一个是由区域模型本身(BGM,Sch-2)产生自己的扰动。可以看到以下四个结果。(1)通过评估总体扩散和概率预测,表明在此初步研究中“ Sch-2”似乎优于“ Sch_1”(图1)。(2)无论采用哪种IC扰动策略,基于整体的预测,整体平均和概率预测通常都优于单一控制和操作预测。 (3)集合扩展和预测技能在域平均上有很好的正相关,扩展和预测误差之间的空间相关性平均为40-45%。

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