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Ensemble Forecasting of Return Flow over the Gulf of Mexico

机译:墨西哥湾回流的整体预报

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Errors in operational forecasts of return flow events (RFEs) over the Gulf of Mexico have dictated the search for sources of these errors.? Based on earlier studies, likely candidates for these errors are: incorrect parameterization of turbulent transfer processes at the air-sea interface, uncertain vertical motion above the mixed layer, and incorrect initial conditions. ?We investigate these possible sources of error by performing numerical experiments with a Monte Carlo ensemble prediction model applied to a well-observed case in February 1988. In essence, we examine uncertainty in prediction due to uncertainty in the model's elements of control. ?A mixed-layer model with roughly 50 elements of control is used to determine forecast uncertainty due to initial conditions alone, boundary conditions alone, parameterization alone, as well as the full complement of uncertainty in these elements of control. ?The uncertainty is calculated at points along a predetermined outflow trajectory that originates over shelf waters in the northeastern Gulf, passes north of the Yucatan Peninsula, and terminates in the west-central Gulf-all points along the trajectory are characterized by convective heating at the sea-air interface. Results from the numerical experiments led to the following results:? 1) parameterization of physical processes exerts the greatest influence on forecast uncertainty, and 2) the water-vapor mass in the mixed-layer column is uncertain by a factor of two at the trajectory's terminal point. ?The latter result confirms forecasters' long-held view that vapor return is the most suspect product in operational prediction of RFEs. ?In addition to these numerical experiments with the 1988 case, a recent RFE is examined in the context of operational model performance at the National Center for Environmental Prediction (NCEP).? The paper ends with discussion of steps to be taken that hold promise for improved operational prediction of RFEs over the Gulf of Mexico.
机译:墨西哥湾回流事件(RFE)的运行预测中的错误指示了寻找这些错误的根源。根据较早的研究,可能会导致这些错误的因素包括:气海界面湍流传输过程的参数设置不正确,混合层上方的垂直运动不确定以及初始条件不正确。我们通过对1988年2月应用于观察良好的案例的蒙特卡洛集成预测模型进行数值实验,研究了这些可能的误差源。从本质上讲,由于模型控制元素的不确定性,我们检验了预测的不确定性。 ?具有大约50个控制要素的混合层模型用于确定仅由于初始条件,仅边界条件,仅参数化以及这些控制要素的不确定性的完全补充而导致的预测不确定性。不确定性的计算是沿着预定的流出轨迹的点进行的,该流出轨迹始于东北海湾的架子水域,经过尤卡坦半岛的北部,终止于墨西哥湾的中西部-沿着轨迹的所有点的特征在于对流加热海空接口。数值实验的结果得出以下结果: 1)物理过程的参数化对预测不确定性影响最大,并且2)混合层塔中的水蒸气质量在轨迹终点处不确定,为两倍。后一个结果证实了预报员的长期观点,即蒸气回流是RFE运行预测中最可疑的产品。除了在1988年的情况下进行的这些数值实验外,还在国家环境预测中心(NCEP)的操作模型性能背景下研究了最近的RFE。本文最后讨论了应采取的步骤,这些步骤有望改善墨西哥湾地区RFE的运行预测。

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