Special Issue. Retrieval of Cloud and Precipitation by Ground-Based Radar and In Situ Observations: Application to Atmospheric and Volcanic Ash Clouds

MDPI RS  Special Issue on Retrieval of Cloud and Precipitation by Ground-Based Radar and In Situ Observations: Application to Atmospheric and Volcanic Ash Clouds

Dear Colleague,

The journal Remote Sensing (ISSN 2072-4292) is giving the opportunity to submit contributions to the Special Issue "Retrieval of Cloud and Precipitation by Ground-Based Radar and In Situ Observations: Application to Atmospheric and Volcanic Ash Clouds".

    Details of the Special Issue can be found below:
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    - Special Issue: Retrieval of Cloud and Precipitation by Ground-Based Radar and In Situ Observations: Application to Atmospheric and Volcanic Ash Clouds

    - Website: https://www.mdpi.com/journal/remotesensing/special_issues/Retrieval_Cloud_Precipitation

    - Guest Editors: Dr. Mario Montopoli, Dr. Elisa Adirosi and Dr. Gianfranco Vulpiani

    - Deadline for manuscript submissions: 30 November 2021
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    keywords:

    • Satellite vs. Ground validation studies
    • Severe storms analysis, interpretation and nowcasting
    • liquid/solid precipitation microphysical parameter estimation
    • Quantitative precipitation estimation
    • Early warning tools
    • Volcanic clouds observations
    • Data Quality
    • Data assimilation
    • Data fusion
    • Climate records
    • Urban scale monitoring
    • Sensor networking
    • AI and multi-sensor big data approaches

    Remote Sensing is a peer-reviewed, open access journal free for readers, with article processing charges (APC) paid by authors. The journal is focused on the science and application of remote sensing technology, and is published semimonthly online by MDPI. Manuscripts submitted to MDPI are peer-reviewed and a first decision is provided to authors approximately 16.4 days after submission; acceptance to publication is undertaken in 2.6 days (median values for papers published in this journal in the second half of 2020).

    Contacts: m.montopoli [at] isac.cnr.it