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Low-Level Wind Forecast over the La Plata River Region with a Mesoscale Boundary-Layer Model Forced by Regional Operational Forecasts

机译:基于区域运行预报的中尺度边界层模型对拉普拉塔河地区的低空风能预报

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摘要

A mesoscale boundary-layer model (BLM) is used for running 12-h low-level wind forecasts for the La Plata River region. Several experiments are performed with different boundary conditions that include operational forecasts of the Eta/CPTEC model, local observations, as well as a combination of both. The BLM wind forecasts are compared to the surface wind observations of five weather stations during the period November 2003-April 2004. Two accuracy measures are used: the hit rate or percentage of cases with agreement in the wind direction sector, and the root-mean-squared error (RMSE) of the horizontal wind components. The BLM surface wind forecasts are always more accurate, since its averaged hit rate is three times greater and its averaged RMSE is one half smaller than the Eta forecasts. Despite the large errors in the surface winds displayed by the Eta forecasts, its 850 hPa winds and surface temperature forecasts are able to drive the BLM model to obtain surface winds forecasts with smaller errors than the Eta model. An additional experiment demonstrates that the advantage of using the BLM model for forecasting low-level winds over the La Plata River region is the result of a more appropriate definition of the land-river surface temperature contrast. The particular formulation that the BLM model has for the geometry of the river coasts is fundamental for resolving the smaller scale details of the low-level local circulation. The main conclusion of the study is that operational low-level wind forecasts for the La Plata River region can be improved by running the BLM model forced by the Eta operational forecasts.
机译:中尺度边界层模型(BLM)用于对拉普拉塔河地区进行12小时的低层天气预报。在不同的边界条件下进行了一些实验,包括Eta / CPTEC模型的运行预测,局部观测以及两者的结合。在2003年11月至2004年4月期间,将BLM的风预报与五个气象站的地表风观测进行了比较。使用了两种准确性度量:风向扇区中命中率或达成一致的案例百分比,以及均方根水平风分量的平方误差(RMSE)。 BLM地面风的预报总是更准确,因为其平均命中率是Eta预报的三倍,平均RMSE则小一半。尽管Eta预报显示的地表风有很大的误差,但其850 hPa的风和地表温度预报仍能驱动BLM模型获得比Eta模型更小的误差的地表风预报。另一个实验表明,使用BLM模型预测拉普拉塔河地区低空风的优势是对陆面温度反差的更合适定义的结果。 BLM模型针对河流沿岸的几何形状的特定公式对于解决低层局部环流的小规模细节至关重要。该研究的主要结论是,通过运行由Eta运行预报强加的BLM模型,可以改善拉普拉塔河地区的运行低水平风向预报。

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