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Remote Sensing for Cloud, Aerosol, Radiation, and Precipitation Interactions

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

Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 2081

Special Issue Editors


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Guest Editor
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USA
Interests: cloud microphysics retrieval from ground base measurements; atmospheric radiative transfer; cloud and radiation parameterizations in climate model; ground and satellite remote sensing of clouds and radiation; heterogeneous reaction in clouds; Asian dust/pollution transport

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Guest Editor
1. Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
2. NOAA Chemical Sciences Laboratory, Boulder, CO, USA
3. Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO, USA
Interests: radiative energy flows; atmospheric circulations; climate change; solar energy variability; weather prediction models; 3D radiation calculations; earth’s radiation budget

Special Issue Information

Dear Colleagues,

The interactions between aerosols, clouds, radiation, and precipitation involve numerous complex physical and dynamic factors. While previous studies have made significant strides in understanding these interactions, such as the relationships between aerosol‒cloud (ACI), aerosol‒radiation (ARI), aerosol‒precipitation, and cloud‒precipitation on various temporal and spatial scales, some interactions exhibit sign changes, such as the aerosol‒cloud indirect radiative effects. Therefore, it begs the question: can we leverage existing measurements to investigate outstanding issues? Furthermore, can we propose future experiments that would enable us to quantify these interactions more accurately?

The objective of this Special Issue is to invite papers that enhance our comprehension of aerosol‒cloud‒radiation and/or aerosol‒cloud‒precipitation interaction(s) through observational data, irrespective of whether the data comes from short- or long-term measurements. The goal is to bridge gaps in our understanding and address issues that arise while employing remote sensing technology. The suggested topics include (1) the impact of aerosol above boundary-layer clouds on radiative interactions over ocean and land, (2) aerosol impact on the stratocumulus-to-cumulus transition, (3) the process of the aerosol‒cloud‒precipitation transition, and (4) utilizing observational data to constrain model simulations related to all the above topics.

Topics for consideration include, but are not limited to, the following areas:

  • Any interactions among the aerosol‒cloud‒radiation below/above boundary layer clouds.
  • Any interactions among the aerosol‒cloud‒precipitation of any clouds.

Prof. Dr. Baike Xi
Dr. Jake J. Gristey
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

  • aerosol‒cloud interaction (ACI)
  • aerosol‒cloud‒radiation interaction (ACRI)
  • aerosol‒cloud‒precipitation interaction (ACPI)
  • boundary layer cloud properties
  • aerosol indirect effects

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Published Papers (1 paper)

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Research

22 pages, 5216 KiB  
Article
Comparative Analysis of Ground-Based and Satellite-Derived UV Index Levels in Natal, Brazil
by Gabriela Cacilda Godinho dos Reis, Hassan Bencherif, Rodrigo Silva, Lucas Vaz Peres, Marco Antonio Godinho dos Reis, Damaris Kirsch Pinheiro, Francisco Raimundo da Silva, Kevin Lamy and Thierry Portafaix
Remote Sens. 2024, 16(24), 4687; https://doi.org/10.3390/rs16244687 - 16 Dec 2024
Viewed by 1449
Abstract
The ultraviolet radiation index (UV index–UVI) is a dimensionless indicator that informs the intensity of ultraviolet radiation on the Earth’s surface. It makes it easier for people to assess UV levels and understand how to protect themselves from excessive Sun exposure. In Brazil, [...] Read more.
The ultraviolet radiation index (UV index–UVI) is a dimensionless indicator that informs the intensity of ultraviolet radiation on the Earth’s surface. It makes it easier for people to assess UV levels and understand how to protect themselves from excessive Sun exposure. In Brazil, however, the information regarding UV is scarce, with low spatial and temporal coverage. Thus, continuous monitoring is conducted through satellites, although ground-based monitoring of UV is more accurate than satellite retrievals, and comparisons are necessary for validation. This paper aims to compare the levels of UV index measured on the ground and by satellite (OMI and GOME-2) over Natal, Brazil (05.78°S; 35.21°W) from 2005 to 2022. The comparison was made under clear-sky conditions using METAR cloud cover and LER data. Characterization of the diurnal and seasonal variability of the ground-based UV index levels under all and clear-sky conditions is also reported. The analysis indicates that in Natal, noontime all-sky UV index were 6.8% higher during periods of prevalent broken clouds. The two satellite sources (OMI noontime and overpass) and GOME-2 noontime are reliable sources for UV index, which show good agreement with ground-based measurements, with UVI estimated from OMI both at the overpass and noontime being less biased than GOME-2-estimated UVI. Such a process of data verification is important should these data be used for long-term trend analysis or the monitoring of UV exposure risk and possible impacts on human health. Full article
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