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Recent Developments in Remote Sensing Instruments, Technologies, and Results for Aerosol and Cloud Measurements

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 998

Special Issue Editor


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Guest Editor
Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, IA 52242, USA
Interests: cloud & aerosol remote sensing; lidar remote sensing; radiative transfer

Special Issue Information

Dear Colleagues,

Clouds are the primary modifier of the Earth’s surface temperature. Aerosols, especially dense aerosol emissions from fires, volcanic eruptions, and dust storms, also provide a modulating effect on the Earth’s temperature. Acting as cloud condensation nuclei, aerosols provide sources for cloud formation, leading to complex interactions between clouds and aerosols that are still poorly understood. In addition to radiative impacts, aerosols impact air quality, especially in the planetary boundary layer (PBL). Remote sensing of clouds and aerosols, both active and passive, provide a means to study clouds, aerosols, and their interactions on both local and global scales. This Special Issue will publish papers highlighting emerging concepts, new instruments and technologies, and scientific results related to remotely sensed measurement of clouds and aerosols in the Earth’s atmosphere.

The objective of this Special Issue is to highlight emerging concepts, new instruments and technologies, and scientific results related to remotely sensed measurement of clouds and aerosols in the Earth’s atmosphere. The Special Issue will highlight the following topics:

  • Emerging concepts that can provide improved measurements and understanding of cloud and aerosol processes in the Earth’s atmosphere;
  • Recent sensor and technology developments that enable new or enhanced measurements and understanding of cloud and aerosol properties including distributions, radiative properties, and interactions;
  • Original scientific results from analysis of data, with emphasis on (1) diurnal variability of clouds and aerosols, (2) application of advanced machine learning techniques, and (3) synergy of active and passive remote sensing techniques.

Prof. Dr. Matthew McGill
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • clouds
  • cloud radiative effects
  • aerosols
  • aerosol radiative effects
  • cloud–aerosol interactions
  • aerosol transport
  • diurnal variability
  • remote sensing

Published Papers (2 papers)

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Research

11 pages, 4826 KiB  
Communication
The ARGOS Instrument for Stratospheric Aerosol Measurements
by Matthew T. DeLand, Matthew G. Kowalewski, Peter R. Colarco and Luis Ramos-Izquierdo
Remote Sens. 2024, 16(9), 1531; https://doi.org/10.3390/rs16091531 - 26 Apr 2024
Viewed by 173
Abstract
Atmospheric aerosols represent an important component of the Earth’s climate system because they can contribute both positive and negative forcing to the energy budget. We are developing the Aerosol Radiometer for Global Observations of the Stratosphere (ARGOS) instrument to provide improved measurements of [...] Read more.
Atmospheric aerosols represent an important component of the Earth’s climate system because they can contribute both positive and negative forcing to the energy budget. We are developing the Aerosol Radiometer for Global Observations of the Stratosphere (ARGOS) instrument to provide improved measurements of stratospheric aerosols in a compact package. ARGOS makes limb scattering measurements from space in eight directions simultaneously, using two near-IR wavelengths for each viewing direction. The combination of forward and backward scattering views along the orbit track gives additional information to constrain the aerosol phase function and size distribution. Cross-track views provide expanded spatial coverage. ARGOS will have a demonstration flight through a hosted payload provider in the fall of 2024. The instrument has completed pre-launch environmental testing and radiometric characterization tests. The hosted payload approach offers advantages in size, weight, and power margins for instrument design compared to other approaches, with significant benefits in terms of reducing infrastructure requirements for the instrument team. Full article
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17 pages, 2956 KiB  
Article
A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar
by Weiqi Lin, Qianshan He, Tiantao Cheng, Haojun Chen, Chao Liu, Jie Liu, Zhecheng Hong, Xinrong Hu and Yiyuan Guo
Remote Sens. 2024, 16(3), 586; https://doi.org/10.3390/rs16030586 - 04 Feb 2024
Viewed by 549
Abstract
Clouds are an important component of weather systems and are difficult to effectively characterize using current climate models and estimation of radiative forcing. Due to the limitations in observational capabilities, it remains difficult to obtain high-spatiotemporal-resolution, continuous, and accurate observations of clouds. To [...] Read more.
Clouds are an important component of weather systems and are difficult to effectively characterize using current climate models and estimation of radiative forcing. Due to the limitations in observational capabilities, it remains difficult to obtain high-spatiotemporal-resolution, continuous, and accurate observations of clouds. To overcome this issue, we propose a novel and practical combined retrieval method using millimeter-wave radar and lidar, which enables the microphysical properties of thin liquid water clouds, such as cloud droplet effective radius, number concentration, and liquid water content, to be retrieved. This method was utilized to analyze the clouds observed at the Shanghai World Expo Park and was validated through synchronous observations with a microwave radiometer. Furthermore, the most suitable extinction backscatter ratio was determined through sensitivity analysis. This study provides vertical distributions of cloud microphysical properties with a time resolution of 1 min and a spatial resolution of 30 m, demonstrating the scientific potential of this combined retrieval method. Full article
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