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Short-term mesoscale ensemble forecasts of precipitation for Arizona during the monsoon.

机译:季风期间亚利桑那州中短期降水量的整体预报。

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The quality of MM5 ensembles is evaluated for short-range probabilistic quantitative precipitation forecasts over Arizona during the Southwest monsoon. The sensitivity of different ensemble constructs is examined with respect to analysis uncertainty, model parameterization uncertainty, and a combination of both. Model uncertainty is addressed through different cumulus and planetary boundary layer parameterizations, and through stochastic forcing representative of a component of subgrid-scale uncertainty. A first-order autoregression model adds a stochastic perturbation to the Kain-Fritsch cumulus scheme and MRF planetary boundary layer scheme. A sensitivity study is also conducted to determine the MM5 planetary boundary layer parameterizations capable of simulating the structure of the pre-convective, monsoon atmospheric boundary layer.; The results indicate that ensemble precipitation forecasts are skillful and may assist operational weather forecasters during the monsoon. The most skillful ensembles contain both analysis perturbations and mixed-model physics. The Blackadar or MRF planetary boundary layer schemes are recommended for MM5 simulations or forecasts of the Southwest monsoon.
机译:评估MM5集合体的质量,以评估西南季风期间亚利桑那州的短期概率定量降水预报。针对分析不确定性,模型参数化不确定性以及二者的组合,检查了不同整体结构的敏感性。模型不确定性通过不同的积云和行星边界层参数化,以及通过随机强迫代表次网格规模不确定性组成部分来解决。一阶自回归模型为Kain-Fritsch积云方案和MRF行星边界层方案添加了随机扰动。还进行了敏感性研究,以确定能够模拟对流季风大气边界层结构的MM5行星边界层参数。结果表明,整体降水预报技术娴熟,可以在季风期间协助业务天气预报员。最熟练的合奏包含分析扰动和混合模型物理学。对于MM5模拟或西南季风的预报,建议使用Blackadar或MRF行星边界层方案。

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