Construction of Nighttime Cloud Layer Height and Classification of Cloud Types

Author:

Chen SijieORCID,Cheng Chonghui,Zhang Xingying,Su Lin,Tong Bowen,Dong Changzhe,Wang Fu,Chen Binglong,Chen Weibiao,Liu Dong

Abstract

A cloud structure construction algorithm adapted for the nighttime condition is proposed and evaluated. The algorithm expands the vertical information inferred from spaceborne radar and lidar via matching of infrared (IR) radiances and other properties at off-nadir locations with their counterparts that are collocated with active footprints. This nighttime spectral radiance matching (NSRM) method is tested using measurements from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Moderate Resolution Imaging Spectroradiometer (MODIS). Cloud layer heights are estimated up to 400 km on both sides of the ground track and reconstructed with the dead zone setting for an approximate evaluation of the reliability. By mimicking off-nadir pixels with a dead zone around pixels along the ground track, reconstruction of nadir profiles shows that, at 200 km from the ground track, the cloud top height (CTH) and the cloud base height (CBH) reconstructed by the NSRM method are within 1.49 km and 1.81 km of the original measurements, respectively. The constructed cloud structure is utilized for cloud classification in the nighttime. The same method is applied to the daytime measurements for comparison with collocated MODIS classification based on the International Satellite Cloud Climatology Project (ISCCP) standard. The comparison of eight cloud types over the expanded distance shows good agreement in general.

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Public Welfare Project of Zhejiang Province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Machine-Learning-Based Study on All-Day Cloud Classification Using Himawari-8 Infrared Data;Remote Sensing;2023-12-05

2. Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks;Atmospheric and Oceanic Optics;2023-12

3. Base height estimation for multi-layer clouds from passive remote sensing data;29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics;2023-10-17

4. Base height estimation for low and high-level clouds from MODIS data;28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics;2022-12-08

5. ВОССТАНОВЛЕНИЕ ВЫСОТЫ ОСНОВАНИЯ ОБЛАКОВ НИЖНЕГО И ВЕРХНЕГО ЯРУСОВ ПО СПУТНИКОВЫМ СНИМКАМ MODIS;XXVIII Международный симпозиум «Оптика атмосферы и океана. Физика атмосферы»;2022-06-22

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