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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Scaling properties of observed and simulated satellite visible radiances
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Scaling properties of observed and simulated satellite visible radiances

机译：观察和模拟卫星可见面条的缩放性质

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Structure functions S_q, which are related to power spectra and used to study turbulence, were computed for GOES-13 visible radiances measured on 16 May 2015 over French Guiana and adjacent Atlantic Ocean. The nested Global Environmental Multiscale (GEM) numerical weather prediction (NWP) model was run for the same time and area. Cloud data generated by GEM over (300 km)~2 domains, with one-way nesting ending at horizontal grid-spacing of 0.25 km, were operated on by a 3-D solar radiative transfer model with resulting radiances degraded to GOES-13 resolution (~1 km) and S_q computed for them, too. For GOES-13 radiances, scaling exponents ζ (2) associated with S_2, for separation distances between 5 km and 25 km, were typically >0.6 for deep convective and marine boundary layer clouds and<0.4 for shallow cumuli over land. ζ (2) for GEM agreed well with GOES-13 for deep convective clouds. This suggests that the self-organizing properties of deep convection in GEM exhibit realistic geometric features, a potentially important point given the link between cloud structure and precipitation, with the latter being much more difficult to measure and assess than visible radiances. Regarding radiances for GEM's marine boundary layer clouds, their S_q differed markedly from GOES-13's; better resembling fair-weather cumulus. Likewise, GEM's shallow cumuli over land appear to have bypassed the "scattered" fair-weather stage and went straight into more organized convection. Thus, it appears that comparing time series of S_q for geostationary satellite data and corresponding modeled radiances has the potential to benefit assessment of cloud system-resolving models.
机译：S_q，其与电源有关的光谱和用于研究湍流，计算了结构功能GOES-13上2015年5月16日在测定法属圭亚那和相邻大西洋可见辐射率。嵌套全球环境的多尺度（GEM）数值天气预报（NWP）模型在同一时间和区域运行。通过GEM超过（300公里）生成的群数据〜2个结构域，具有单向嵌套在水平网格间距的0.25公里，分别对通过与得到的辐射率3-d太阳能辐射传输模式操作结束降解成GOES-13的分辨率（约1公里）和S_q计算对他们来说，太。对于GOES-13辐射率，缩放与S_2相关联，进行5到25km之间的间隔距离指数ζ（2），是典型的> 0.6的深对流和海洋边界层云和<0.4为浅积云土地。 ζ（2）为GEM吻合用GOES-13为深流云。这表明，在GEM深对流的自组织性质呈现出逼真的几何特征，给定的云结构和沉淀之间的链路潜在的重要点，其中后者是更难以测量和评估比可见光辐射率。关于辐射率为GEM海洋边界层云，其S_q明显不同从GOES-13的;类似更好天朗积云。同样，创业板的浅积云土地似乎已经绕过了“散”共患难的阶段，径直走进更加有组织的对流。因此，看起来比较的地球同步卫星数据的时间序列S_q和相应的模拟辐射强度有云系统解析模型的效益评估的潜力。

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