Research on the extinction performance of particle clouds in space

Author(s):  
Yanan Li ◽  
Lei Mu ◽  
Wenlin Cai ◽  
Qun Wang ◽  
Xin Liu
2019 ◽  
Vol 37 (3) ◽  
pp. 2935-2942 ◽  
Author(s):  
Khalid Hadi ◽  
Ryo Ichimura ◽  
Nozomu Hashimoto ◽  
Osamu Fujita

2017 ◽  
Vol 71 (11) ◽  
pp. 2555-2562 ◽  
Author(s):  
Le Li ◽  
Yihua Hu ◽  
Youlin Gu ◽  
Xinying Zhao ◽  
Shilong Xu ◽  
...  

In this study, the spatial structure of randomly distributed clusters of fungi An0429 spores was simulated using a cluster aggregation (CCA) model, and the single scattering parameters of fungi An0429 spores were calculated using the discrete dipole approximation (DDA) method. The transmittance of 10.6 µm infrared (IR) light in the aggregated fungi An0429 spores swarm is simulated by using the Monte Carlo method. Several parameters that affect the transmittance of 10.6 µm IR light, such as the number and radius of original fungi An0429 spores, porosity of aggregated fungi An0429 spores, and density of aggregated fungi An0429 spores of the formation aerosol area were discussed. Finally, the transmittances of microbial materials with different qualities were measured in the dynamic test platform. The simulation results showed that the parameters analyzed were closely connected with the extinction performance of fungi An0429 spores. By controlling the value of the influencing factors, the transmittance could be lower than a certain threshold to meet the requirement of attenuation in application. In addition, the experimental results showed that the Monte Carlo method could well reflect the attenuation law of IR light in fungi An0429 spore agglomerates swarms.


2021 ◽  
Author(s):  
Suginori Iwasaki ◽  
Hajime Okamoto ◽  
Kaori Sato

<p><span><span>We show that thin cirrus clouds, whose particle radius is greater than 50 μm and number concentration is less than 10 /L, extinct supercooled water clouds (SC) by use of the data of the space-borne lidar, Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and the space-borne 94-GHz cloud profiling radar (CPR). We call the cirrus Large-and-Sparse-particle Clouds (LSC). </span></span></p><p><span><span>The space-borne imagers, such as Moderate Resolution Imaging Spectroradiometer (MODIS), cannot measure LSC; hence, LSC had been difficult to be found by satellites. CALIOP is less sensitive to LSC than CPR though CALIOP is usually more sensitive to clouds than CPR because of the cloud particle size distribution of LSC.</span></span></p><p><span><span>The most significant feature of LSC is that LSC extinct SC and cloud particles of SC are changed into pristine ice particles. This is because (1) SC and LSC do not tend to coexist while horizontally oriented ice particle clouds (2D) and LSC tend to coexist, (2) the cloud top height of LSC is higher than that of SC, and (3) the terminal velocity of LSC particles is about 1 km/h.</span></span></p><p><span><span>Because 10-20% of clouds in the Arctic are LSC, LSC would indirectly impact on radiative forcing in the Arctics.</span></span></p>


2000 ◽  
pp. 329-336 ◽  
Author(s):  
Noriyoshi Sato ◽  
Giichiro Uchida ◽  
Ryoichi Ozaki ◽  
Satoru Iizuka ◽  
Tetsuo Kamimura

2016 ◽  
Vol 45 (1) ◽  
pp. 0120005
Author(s):  
马德跃 Ma Deyue ◽  
李晓霞 Li Xiaoxia ◽  
郭宇翔 Guo Yuxiang ◽  
赵 亮 Zhao Liang ◽  
赵纪金 Zhao Jijin

2019 ◽  
Vol 346 ◽  
pp. 24-34 ◽  
Author(s):  
Kusumanindyah Nur ◽  
Brissonneau Laurent ◽  
Gilardi Thierry ◽  
Gatumel Cendrine ◽  
Berthiaux Henri

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