Implementation of a double moment cloud microphysics scheme in the UK met office regional numerical weather prediction model
Implementation of a double moment cloud microphysics scheme in the UK met office regional numerical weather prediction model
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在英国气象局区域数值天气预报模型中实施双矩云微物理方案
DOI：
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发表时间：
2023
影响因子：
8.9
通讯作者：
K. Van Weverberg
中科院分区：
文献类型：
--
作者：
P. Field;A. Hill;B. Shipway;K. Furtado;J. Wilkinson;A. Miltenberger;H. Gordon;D. Grosvenor;Robin G. Stevens;K. Van Weverberg
在数值天气预报和气候模式中，云微物理参数化控制了水在相和水流星之间的转移。作为天气模拟系统的一个基本组成部分，云微物理可以确定降水的强度和时间、云层覆盖的范围和寿命及其对辐射平衡的影响，并直接影响温度和风等近地面天气指标。在本文中，我们介绍并演示了双矩云微物理方案（CASIM：云气溶胶相互作用微物理）在中纬度和热带环境下使用相同的模式配置的性能。与使用当前运行的单时刻云微物理的控制配置和使用固定云内液滴数或从气溶胶环境中计算云液滴数浓度的CASIM配置进行了比较。我们证明了将CASIM配置为单时刻方案会产生与操作单时刻微物理相匹配的降水率直方图。结果表明，在中纬度地区，CASIM的表现与单时刻微物理配置一样好，但在锋面降水特征周围改善了地面降水场的某些方面，如更大程度的轻雨（< $$ < $$ 1 mm·$$ cdotp $$ hr−1 $$ {}^{-1} $$）。在热带环境下，CASIM优于单时刻云微物理，这一点从改进后的雷达导出降水率的比较中可以看出。
Cloud microphysics parametrizations control the transfer of water between phases and hydrometeor species in numerical weather prediction and climate models. As a fundamental component of weather modelling systems cloud microphysics can determine the intensity and timing of precipitation, the extent and longevity of cloud cover and its impact on radiative balance, and directly influence near surface weather metrics such as temperature and wind. In this paper we introduce and demonstrate the performance of a double moment cloud microphysical scheme (CASIM: Cloud AeroSol Interacting Microphysics) in both midlatitude and tropical settings using the same model configuration. Comparisons are made against a control configuration using the current operational single moment cloud microphysics, and CASIM configurations that use fixed in‐cloud droplet number or compute cloud droplet number concentration from the aerosol environment. We demonstrate that configuring CASIM as a single moment scheme results in precipitation rate histograms that match the operational single moment microphysics. In the midlatitude setting, results indicate that CASIM performs as well as the single moment microphysics configuration, but improves certain aspects of the surface precipitation field such as greater extent of light ( <$$ < $$ 1 mm ·$$ cdotp $$ hr −1$$ {}^{-1} $$ ) rain around frontal precipitation features. In the tropical setting, CASIM outperforms the single moment cloud microphysics as evident from improved comparison with radar derived precipitation rates.
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影响因子：
6.3
作者：
Gordon, Hamish;Field, Paul R.;Carslaw, Ken S.
通讯作者：
Carslaw, Ken S.
影响因子：
5.1
作者：
Mann, G. W.;Carslaw, K. S.;Johnson, C. E.
通讯作者：
Johnson, C. E.
影响因子：
6.3
作者：
DeMott, P. J.;Prenni, A. J.;Kreidenweis, S. M.
通讯作者：
Kreidenweis, S. M.
DOI：
10.1175/amsmonographs-d-16-0014.1
发表时间：
2017-01-01
期刊：
ICE FORMATION AND EVOLUTION IN CLOUDS AND PRECIPITATION: MEASUREMENT AND MODELING CHALLENGES
影响因子：
--
作者：
Field, P. R.;Lawson, R. P.;Sullivan, S.
通讯作者：
Sullivan, S.
模型仿真以了解冰核颗粒和二次冰生成对深对流砧卷云的联合影响
影响因子：
6.3
作者：
Hawker R
通讯作者：
Hawker R