Analyzing Aerosol–Cloud–Climate Interactions through Remotely Sensed Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 563
Special Issue Editors
Interests: remote sensing; machine learning; aerosol; clouds; radiation
Interests: aerosol–cloud interactions; atmospheric chemistry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The impact of aerosols on cloud properties is one of the largest uncertainties in the anthropogenic radiative forcing of the climate. Significant progress has been made in constraining this forcing using observations, but uncertainty remains, particularly around the magnitude of cloud rapid adjustments to aerosol perturbations. For example, the liquid water path (LWP) response to aerosol perturbation is often confounded by meteorological factors that are difficult to isolate. The cloud nucleus concentration’s dependency on cloud number concentration for both mixed-phase and cirrus clouds is also not well constrained and depends on the aerosol type and size distribution. Recent observational and modeling efforts found weak and average liquid–cloud–water responses to anthropogenic aerosols, while others found stronger relations under various conditions. To accurately quantify cloud responses to aerosols, there is a need for an improved detection of both spatial and temporal quantities of cloud water content, albedo, and cloud and aerosol particle numbers.
Our aim is to publish the state-of-the-art measurement capabilities of concurrent aerosol and cloud systems that use various remote sensing methodologies, including novel approaches. By advancing measurement capabilities, modeling and prediction capabilities can be advanced and better estimations of the radiative budgets of the Earth under different scenarios can be developed.
This Special Issue seeks papers dedicated to concurrent measurements of aerosols and clouds using either passive or active remote sensing sensors from space-borne, airborne, balloon-borne, and UAV platforms, as well as ground-based sensors, with a special emphasis on high temporal resolution measurements that can detangle meteorological effects from aerosol effects on clouds. We invite papers that combine measurement and modeling approaches that can further the understanding in this dynamic field and welcome papers covering scopes of liquid, mixed-phase, and cirrus cloud properties under various aerosol conditions (pristine and polluted) and at various geographical locations (equator and high latitudes).
Dr. Michal Segal-Rosenheimer
Dr. Haochi Che
Guest Editors
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
- radar and lidar measurements
- passive remote sensing
- LES
- biomass burning aerosols
- dust aerosols
- stratocumulus clouds
- cirrus clouds
- mixed-phase clouds
- Arctic and Antarctic environments
