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Special Issue "Recent Advances in Optical Remote Sensing of Atmosphere"

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A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (27 February 2023) | Viewed by 3442

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Special Issue Editors

Dr. Chengxin Zhang

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Guest Editor

Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Interests: air pollution; nitrogen oxides; satellite remote sensing; deep learning

Dr. Qianqian Hong

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Guest Editor

School of Environment and Civil Engineering, Jiangnan University, Wuxi, 214122, China
Interests: ground-based remote sensing; air pollution; aerosol; trace gases; pollution transport

Dr. Chengzhi Xing

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Guest Editor

Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Interests: remote sensing; tomography; air pollution; nitrous acid; OH radical
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Special Issue Information

Dear Colleagues,

Measuring atmospheric parameters is an important prerequisite for human understanding of the laws of the Earth's atmosphere. In recent decades, atmospheric measurement technology has developed rapidly due to the major needs of human exploration of space, urban air pollution and global climate change. Optical remote sensing technology, with its characteristics of long-range and non-contact measurements, plays an important role in atmospheric monitoring. Especially, the spaceborne optical instrument provide a unique perspective on the Earth atmosphere.

Here, we initiate a special issue entitled “Recent Advances in Optical Remote Sensing of Atmosphere”, mainly covering but not limited to the optical measurement technique and its application of the physical properties and abundances of atmospheric pollutant gases, greenhouse gases, clouds and aerosols, etc. More specifically, it will address topics included in the following list of remote sensing techniques/algorithms and its applications:

Instrumentation: principle and design of prototype measurement instrument;
Algorithm: development on the atmospheric forward and inversion model;
Experiments: field campaign of multi-platform atmospheric sensors;
Analysis: spatiotemporal trends, mechanisms of air pollution or atmospheric process

Dr. Chengxin Zhang
Dr. Qianqian Hong
Dr. Chengzhi Xing
Guest Editors

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Keywords

atmospheric measurement
remote sensing
spectroscopy
satellite instruments
atmospheric trace gases

Published Papers (3 papers)

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Research

Open AccessArticle

Analysis of the Effect of Economic Development on Air Quality in Jiangsu Province Using Satellite Remote Sensing and Statistical Modeling

and

Atmosphere 2022, 13(5), 697; https://doi.org/10.3390/atmos13050697 - 27 Apr 2022

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Abstract

In recent decades, the economy of China has developed rapidly, but this has brought widespread damage to the environment, which forces us to explore a sustainable, green, economic development model. Therefore, it is particularly necessary to clarify the relationship between economic development and environmental pollution. In this paper, we used satellite remote sensing tropospheric NO₂ vertical column density (VCD) as an air quality indicator; the total exports, total imports, and industrial electricity consumption as the economic indicators; and the wind speed, temperature, and planetary boundary layer height as the meteorological factors to perform a Generalized Additive Modeling (GAM) analysis. By deducing the influence of meteorological factors, the relationship between economic indicators and the air quality indicator can be determined. When total exports increased by one billion USD (United States Dollar), the tropospheric NO₂ VCDs of Nanjing and Suzhou increased by about 15% and 6%, respectively. The tropospheric NO₂ VCDs of Suzhou increased by about 5% when the total imports increased by one billion USD. In addition, when the industrial electricity consumption increased by one billion kWh, the tropospheric NO₂ VCDs of Nanjing, Suzhou and Xuzhou increased by about 25%, 12%, and 59%, respectively. This study provides a method to quantify the contribution of economic growth to air pollution, which is helpful for better understanding of the relationship between economic development and air quality. Full article

(This article belongs to the Special Issue Recent Advances in Optical Remote Sensing of Atmosphere)

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Open AccessArticle

Nitrous Oxide Profile Retrievals from Atmospheric Infrared Sounder and Validation

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Atmosphere 2022, 13(4), 619; https://doi.org/10.3390/atmos13040619 - 12 Apr 2022

Cited by 5 | Viewed by 898

Abstract

This paper presents an algorithm for the retrieval of nitrous oxide profiles from the Atmospheric InfraRed Sounder (AIRS) on the Earth Observing System (EOS)/Aqua using a nonlinear optimal estimation method. First, an improved Optimal Sensitivity Profile (OSP) algorithm for channel selection is proposed based on the weighting functions and the transmissions of the target gas and interfering gases, with 13 channels selected for inversion in this algorithm. Next, the data of the High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observations (HIPPO) aircraft and the Earth System Research Laboratory (ESRL) are used to verify the retrieval results, including the atmospheric nitrous oxide profile and the column concentration. The results show that using AIRS satellite data, the atmospheric nitrous oxide profile between 300–900 hPa can be well retrieved with an accuracy of ~0.1%, which agrees with the corresponding Jacobian peak interval of selected channels. Analysis of the AIRS retrievals demonstrates that the AIRS measurements provide useful information to capture the spatial and temporal variations in nitrous oxide between 300–900 hPa. Full article

(This article belongs to the Special Issue Recent Advances in Optical Remote Sensing of Atmosphere)

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Open AccessEditor’s ChoiceArticle

Clustering Analysis on Drivers of O₃ Diurnal Pattern and Interactions with Nighttime NO₃ and HONO

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Atmosphere 2022, 13(2), 351; https://doi.org/10.3390/atmos13020351 - 19 Feb 2022

Cited by 2 | Viewed by 1033

Abstract

The long-path differential optical absorption spectroscopy (LP-DOAS) technique was deployed in Shanghai to continuously monitor ozone (O₃), formaldehyde (HCHO), nitrogen dioxide (NO₂), nitrous acid (HONO), and nitrate radical (NO₃) mixing ratios from September 2019 to August 2020. Through a clustering method, four typical clusters of the O₃ diurnal pattern were identified: high during both the daytime and nighttime (cluster 1), high during the nighttime but low during the daytime (cluster 2), low during both the daytime and nighttime (cluster 3), and low during the nighttime but high during the daytime (cluster 4). The drivers of O₃ variation for the four clusters were investigated for the day- and nighttime. Ambient NO caused the O₃ gap after midnight between clusters 1 and 2 and clusters 3 and 4. During the daytime, vigorous O₃ generation (clusters 1 and 4) was found to accompany higher temperature, lower humidity, lower wind speed, and higher radiation. Moreover, O₃ concentration correlated with HCHO for all clusters except for the low O₃ cluster 3, while O₃ correlated with HCHO/NO_x, but anti-correlated with NO_x for all clusters. The lower boundary layer height before midnight hindered O₃ diffusion and accordingly determined the final O₃ accumulation over the daily cycle for clusters 1 and 4. The interactions between the O₃ diel profile and other atmospheric reactive components established that higher HONO before sunrise significantly promoted daytime O₃ generation, while higher daytime O₃ led to a higher nighttime NO₃ level. This paper summarizes the interplays between day- and nighttime oxidants and oxidation products, particularly the cause and effect for daytime O₃ generation from the perspective of nighttime atmospheric components. Full article

(This article belongs to the Special Issue Recent Advances in Optical Remote Sensing of Atmosphere)

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