Characteristics of Droplet Size Distributions in Low-Level Stratiform Clouds Observed from Tokyo Skytree

IF 2.4 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Journal of the Meteorological Society of Japan Pub Date : 2018-04-13 DOI:10.2151/JMSJ.2018-040

R. Misumi, Yasushi Uji, Y. Tobo, K. Miura, J. Uetake, Yoko Iwamoto, T. Maesaka, K. Iwanami

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引用次数: 8

Abstract

Continuous observations of cloud droplet size distributions (DSDs) in low-level stratiform clouds have been conducted at a height of 458 m from Tokyo Skytree (a 634-m-high broadcasting tower in Tokyo) using a cloud droplet spectrometer. In this report, the characteristics of cloud parameters related to the cloud DSD from June to December 2016 are presented. The mean cloud droplet number concentration ( N c ), average diameters, and effective diameters of cloud droplets in non-drizzling clouds were 213 cm −3 , 7.3 μm, and 9.5 μm, respectively, which are close to the reported values for continental stratiform clouds. The relationship between liquid water content (LWC; g m −3 ), N c (cm −3 ), and radar reflectivity ( Z ; mm 6 m −3 ) was estimated as LWC = 0.17 N c 0.50 Z 0.45 , with a coefficient of determination ( R 2 ) of 0.93. The observed cloud DSDs were well fitted by a lognormal distribution, and the average median diameter of the fitted DSD was 6.6 μm.

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东京Skytree观测的低层层状云液滴大小分布特征

利用云滴谱仪在东京天空树(东京634米高的广播塔)458米高空连续观测了低空层状云的云滴大小分布。本报告给出了2016年6 - 12月与云DSD相关的云参数特征。非毛雨云的平均云滴数浓度(nc)为213 cm−3，平均云滴直径为7.3 μm，有效云滴直径为9.5 μm，与大陆层状云的数值接近。液态水含量(LWC;g m−3)，nc (cm−3)和雷达反射率(Z;mm 6 m−3)估计LWC = 0.17 N c 0.50 Z 0.45，决定系数(r2)为0.93。观测到的云DSD符合对数正态分布，拟合的DSD平均中位直径为6.6 μm。

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来源期刊

Journal of the Meteorological Society of Japan 地学-气象与大气科学

CiteScore

6.70

自引率

16.10%

发文量

审稿时长

3 months

期刊介绍： JMSJ publishes Articles and Notes and Correspondence that report novel scientific discoveries or technical developments that advance understanding in meteorology and related sciences. The journal’s broad scope includes meteorological observations, modeling, data assimilation, analyses, global and regional climate research, satellite remote sensing, chemistry and transport, and dynamic meteorology including geophysical fluid dynamics. In particular, JMSJ welcomes papers related to Asian monsoons, climate and mesoscale models, and numerical weather forecasts. Insightful and well-structured original Review Articles that describe the advances and challenges in meteorology and related sciences are also welcome.