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An investigation of large cross-track errors in North Atlantic tropical cyclones in the GEFS and ECMWF ensembles

机译:GEF和ECMWF集合中北大西洋热带气旋大型交叉误差调查

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The largest medium-range (72-120 h) cross-track errors (CTE) of tropical cyclone (TC) forecasts from the Global Ensemble Forecast System (GEFS) over the northern Atlantic Ocean are examined for the 2008-16 seasons. The 38 unique forecasts within the upper quartile of most negative CTEs (i.e., left-of-track bias larger than 250 km by 72 h) do not have a clear common source of steering error, although 12 of the forecasts involve the underprediction of a weak upper-level trough to the west of the TC by 36 h. Meanwhile, at least 18 of the 36 most positive CTEs (right-of-track bias) are associated with TCs embedded in the southwest extent of a subtropical ridge, the strength of which is increasingly underpredicted during the first 24 h of the forecast. Excessive height falls north of the TC are driven by overpredicted divergence aloft, which corresponds to overpre-dicted TC outer-core convection. The convection is triggered by a 5%-20% overprediction of near-TC moisture and instability in the initial conditions. Weather Research and Forecasting (WRF) Model simulations are run at 36-, 12-, and 4-km grid spacing for select right-of-track cases, using the GEFS for initial and lateral boundary conditions. The 36-km WRF reproduces the same growth of errors as the GEFS because of, in part, sharing the same stability and moisture errors in the initial conditions. Changes in the convective parameterization affect how quickly these errors grow by affecting how much convection spins up. The addition of a 4-km nest with no convective parameterization causes the errors to grow;20% faster, resulting in an even larger right-of-track error.
机译:在2008-16个赛季,研究了来自北大西洋的全球集合预测系统(GEF)的热带气旋系统(TC)预测的最大中等范围(72-120小时)预测。在大多数负CTE的上四分位数(即,大于250 km的轨道偏差大于250 km)的38个独特的预测没有明确的常见转向误差来源,尽管预测中的12个涉及a的弱势弱的上级低谷到TC的西部36小时。同时,36个最阳性CTE中的至少18个(轨道右偏置)中的至少18个与亚热带脊的西南部范围内的TCS相关联,其强度在预测的前24小时期间越来越受到预期。 TC的北方北方的高度过度落后于ALOFT,它对应于过度诱导的TC外核对流。对流在初始条件下突出5%-20%的近TC湿度和不稳定性。天气研究和预测(WRF)模型模拟​​以36 - ,12级和4公里的网格间距运行,用于选择轨道上的壳体,使用GEF用于初始和横向边界条件。 36公里的WRF再现与GEF的错误同样的错误,因为部分地,在初始条件下共享相同的稳定性和湿度误差。对流参数化的变化会影响这些错误的速度,通过影响对流旋转量的增加。添加4公里的Nest,没有对流参数化导致错误增长;速度越快20%,导致延长轨道右误差。

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    《Oceanographic Literature Review》 |2021年第5期|991-991|共1页
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