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首页> 外文期刊>Quarterly Journal of the Royal Meteorological Society >Comparisons of bin and bulk microphysics schemes in simulations of topographic winter precipitation with radar and radiometer measurements
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Comparisons of bin and bulk microphysics schemes in simulations of topographic winter precipitation with radar and radiometer measurements

机译:垃圾箱与雷达和辐射计测量的地形冬季降水模拟中的箱和散装微型药物方法的比较

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摘要

The Hebrew University Cloud Model (HUCM) bin scheme and the Thompson bulk scheme in the Weather Research and Forecasting (WRF) model are compared to assess biases often found in simulated brightness temperature and radar reflectivity. Compared to our preceding study that evaluated several bulk schemes in the WRF model, the current study obtains a reduction of the bias from excessive microwave scattering by precipitation ice for both HUCM bin and the Thompson bulk microphysics schemes for a topographic winter precipitation event associated with an atmospheric river. The Thompson particle size distributions (PSDs) and snow particle density assumption are implemented into the Goddard Satellite Data Simulator Unit (G-SDSU) and have produced improvements. Despite the greater sophistication of the bin scheme in representing cloud and precipitation processes, the simulation with the Thompson bulk scheme is generally in better agreement with observations for this winter event. The explicitly resolved hydrometeor PSDs in HUCM enable analysis of mass spectra variations in response to changes in microphysics assumptions. Two HUCM sensitivity runs tested the enhancement of snow particle breakup and the influence of ice nuclei (IN) concentration. Higher IN concentration resulted in increased snow mass and broadened the spectrum toward small-size particles. Modified snow mass spectra and resultant changes in graupel contributed to modifications in scattering and reflectivity simulations. The article demonstrates the bin scheme's capability to provide a new means to improve our understanding of uncertainties in mesoscale weather models and radiative transfer models.
机译:将希伯来大学云模型(HUCM)BIN计划和天气研究和预测(WRF)模型中的汤普森批量方案进行了比较,以评估模拟亮度温度和雷达反射率的偏差。与我们的前述研究相比,在WRF模型中评估了多种批量方案,目前的研究通过沉淀冰和汤普森批量微妙种类方案的沉淀冰来获得从过量的微波散射的偏差减少,以及与之相关的地形冬季降水事件大气河流。汤普森粒度分布(PSD)和雪粒密度假设被实施到戈达德卫星数据模拟器单元(G-SDSU)中并产生改进。尽管在代表云和降水过程中对垃圾箱方案进行了更高的复杂性,但与汤普森批量方案的模拟通常与对这次冬季事件的观察结果更好。 HUCM中的明确解决的水流仪PSDS能够响应于微观假设变化的质谱变异。两次HUCM敏感性运行测试了雪颗粒分类的增强和冰核(in)浓度的影响。浓度较高导致雪质量增加,并将光谱扩大到小尺寸粒子。修改的雪地质谱和Graupel所产生的变化有助于散射和反射率模拟的修改。本文展示了宾方案的能力,提供了一种新手段,以改善我们对Mescle天气模型和辐射转移模型的不确定性的理解。

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