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Discussion papers
https://doi.org/10.5194/essd-2019-77
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-77
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 11 Jun 2019

Submitted as: data description paper | 11 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Replacing Missing Values in the Standard MISR Radiometric Camera-by-Camera Cloud Mask (RCCM) Data Product

Michel M. Verstraete1, Linda A. Hunt2, Hugo De Lemos1, and Larry Di Girolamo3 Michel M. Verstraete et al.
  • 1Global Change Institute (GCI), University of the Witwatersrand, Braamfontein, Republic of South Africa
  • 2Science Systems and Applications, Inc. (SSAI), Hampton, VA 23666-5845, USA
  • 3Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

Abstract. The Multi-angle Imaging SpectroRadiometer (MISR) is one of the five instruments hosted on-board the NASA Terra platform, launched on 18 December 1999. This instrument has been operational since 24 February 2000 and is still acquiring Earth Observation data as of this writing. The primary missions of MISR are to document the state and properties of the atmosphere, and in particular the clouds and aerosols it contains, as well as the planetary surface, on the basis of 36 data channels gathered by each of its nine cameras (pointing in different directions along the orbital track) in four spectral bands (blue, green, red and near-infrared). The Radiometric Camera-by-Camera Cloud Mask (RCCM) is derived from the calibrated measurements at the nominal top of the atmosphere, and is provided separately for each of the nine cameras. This RCCM data product is permanently archived at the NASA Atmospheric Science Data Center (ASDC) in Langley, VA, USA and is openly accessible (Diner et al., 1999 and https://doi.org/10.5067/Terra/MISR/MIRCCM_L2.004). For various technical reasons described in this paper, this RCCM product exhibits missing data, even though an estimate of the clear or cloudy status of the environment at each individual observed location can be deduced from the available measurements. The aims of this paper are (1) to describe how to replace most missing values by estimates and (2) to briefly describe the software to process MISR RCCM data products, which is openly available to the community from the GitHub web site (https://github.com/mmverstraete or https://doi.org/10.5281/zenodo.3240018). Limited amounts of updated MISR RCCM data products are also archived in South Africa and can be made available upon request.

Michel M. Verstraete et al.
Interactive discussion
Status: open (extended)
Status: open (extended)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Michel M. Verstraete et al.
Model code and software

IDL MISR_RCCM Version 2.1.5 M. M. Verstraete https://doi.org/10.5281/zenodo.3240018

Michel M. Verstraete et al.
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Short summary
The Radiometric Camera-by-Camera Cloud Mask (RCCM) is a cloud mask generated individually for each of the 9 cameras of the MISR instrument. This paper describes the reasons for the numerous missing values found in this product as well as the software tools to reconstruct data sets with most or all missing values replaced by reasonable estimates. This MISR RCCM product is openly available from NASA and the software to update this product is publicly available under the MIT license.
The Radiometric Camera-by-Camera Cloud Mask (RCCM) is a cloud mask generated individually for...
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