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Remote Sensing in Climate Modeling

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 698

Special Issue Editors

School for Engineering of Matter, Transport, and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA
Interests: weather and climate; geophysical fluid dynamics; remote sensing
Institute of Research for Development
Interests: climate and ocean modeling; biogeochemical cycles; machine learning; remote sensing

Special Issue Information

Dear Colleagues,

Numerical modeling has played a key role in the assessment and projection of the Earth’s climate. Climate modeling relies on high-quality input of global observations for the set-up of initial and boundary conditions and model validation. In recent decades, advances in remote sensing have helped us to bridge the gap in such large-scale observations and improve the quality of global climate projection. This Special Issue aims to provide a platform for disseminating the latest advances in applications of remote sensing to climate modeling at global and regional scales. The major topics of interest include, but are not limited to:

  1. innovative syntheses of observations by meteorological or land-surveying satellites towards new applications in climate modeling;
  2. advances in assimilating satellite observations of the ocean, cryosphere, and atmosphere–ocean interface, for climate projection;
  3. new methodologies for incorporating satellite measurements of pollutants, chemical constituents and derived ecosystem structures into climate prediction and model validation;
  4. new applications of remote-sensing products to dynamical and statistical downscaling for regional climate prediction; and
  5. developments in artificial intelligence or machine-learning algorithms for using remote-sensing products in uncertainty quantification in climate modelling.

This Special Issue particularly seeks cutting-edge research works that reflect the newest developments in relevant remote-sensing technologies in the last five years.

Dr. Huei-Ping Huang
Dr. Thomas Gorgues
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

  • remote sensing
  • climate projection
  • data assimilation
  • meteorological modeling
  • ocean modeling
  • uncertainty quantification.

Published Papers

There is no accepted submissions to this special issue at this moment.
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