Special Issue "Analysis of Decadal-Scale Continuous Data Products from Weather Satellite Platforms"
Deadline for manuscript submissions: closed (31 December 2020).
Interests: remote sensing of cloud properties; bulk scattering properties of ice clouds; aerosol–cloud interactions; imager and hyperspectral sensor data fusion
Interests: light scattering; radiative transfer; atmospheric radiation; remote sensing
Interests: estimation of cloud properties from passive satellite sensors; validation with ground-based measurements; influence of clouds and aerosols on the atmospheric radiation budget; effects of small-scale cloud variability on cloud property retrievals and radiation
Currently, multi-decadal data records exist from polar-orbiting and geostationary satellite platforms, which are used to generate continuous products for a variety of Earth science disciplines. An important example is NASA’s Earth Observing System (EOS) Terra and Aqua platforms, which were launched in 1999 and 2002, respectively, and are continued by the current Suomi-NPP and NOAA-20 platforms. Other examples include the European MetOp platforms, and various geostationary satellites, including GOES, Meteosat, Himawari, and others. The large investment in associated science discipline research (land, ocean, ozone, atmosphere, sounder, radiation budget, and calibration) over this time has resulted in significant advances in Earth system products and remote sensing methodology. Numerous space agencies have implemented programs (e.g., ESA CCI, NOAA CDR, EU C3S, NASA MEaSUREs, and the EUMETSAT SAF network) that are dedicated to analyzing the existing data archives in order to generate decadal data records of the highest quality for scientific research.
This Special Issue is dedicated to the continuity of satellite data products over a multi-decadal period, with special focus on the breakthroughs that are possible with a record based on well-calibrated data. While discussions may be included about the substantial algorithm refinement and innovative calibration techniques that are necessary in order to ensure a seamless decadal data record from measurements across the different platforms, the articles should also demonstrate how the algorithm/calibration improvements affect the long-term data record, and should include a discussion of any limitations or uncertainties that could impact the scientific analysis of the data, in particular, with respect to the investigation of inter-annual variability and trend detection. We also invite papers that make use of additional satellite platforms that extend and complement other decadal products.
This Issue is intended to expand upon the Remote Sensing Special Issue that was published earlier in 2019, which is available at the following link:
Our Special Issue will expand on the scope of the previous Issue by providing a greater breadth of continuity products from the land, ocean, ozone, atmospheres (including clouds and aerosols), sounder, and radiation budget communities.
Dr. Bryan A. Baum
Prof. Ping Yang
Dr. Hartwig Deneke
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 papers will be 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 2400 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.
- Decadal Data Product Generation and Analysis
- Land Remote Sensing
- Ocean Remote Sensing
- Ozone Remote Sensing
- Cloud Remote Sensing
- Aerosol Remote Sensing
- Radiation Budget
- Multi-Sensor Calibration