Preprints
https://doi.org/10.5194/essd-2022-282
https://doi.org/10.5194/essd-2022-282
 
06 Sep 2022
06 Sep 2022
Status: this preprint is currently under review for the journal ESSD.

Updated observations of clouds by MODIS for global model assessment

Robert Pincus1, Paul A. Hubanks2,3, Steven A. Platnick3, Kerry Meyer3, Robert E. Holz4, Denis Botambekov4, and Casey J. Wall5 Robert Pincus et al.
  • 1Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA
  • 2Adnet Systems, Inc, Bethesda, Maryland, USA
  • 3Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 4Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin, Madison, Wisconsin, USA
  • 5Scripps Institution of Oceanography, University of California San Diego, San Diego, California, USA

Abstract. This paper describes a new global dataset of cloud properties observed by MODIS relying on the current (collection 6.1) processing of MODIS data and produced to facilitate comparison with results from the MODIS observational proxy used in climate models. The dataset merges observations from the two MODIS instruments into a single netCDF file. Statistics (mean, standard deviation, number of observations) are accumulated over daily and monthly time scales on an equal-5 angle grid for viewing and illumination geometry, cloud detection, cloud-top pressure, and cloud properties (optical thickness, effective particle size, water path) partitioned by thermodynamic phase and an assessment as to whether the underlying observations come from fully- or partly-cloudy pixels. Similarly partitioned joint histograms are available for (1) optical thickness and cloud-top pressure, (2) optical thickness and particle size, and (3) cloud water path and particle size. Differences with standard data products, caveats for data use, and guidelines for comparison to the MODIS simulator are described. Data 10 are available on daily (NASA, 2022a, doi:10.5067/MODIS/MCD06COSP_D3_MODIS.062) and monthly (NASA, 2022b, doi:10.5067/MODIS/MCD06COSP_M3_MODIS.062) timescales.

Robert Pincus et al.

Status: open (until 01 Nov 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Robert Pincus et al.

Data sets

MCD06COSP_M3_MODIS - MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid Robert Pincus, Paul A. Hubanks, Steven E. Platnick, Kerry Meyer, Robert E Holz, Denis Botambekov, and Casey E Wall http://dx.doi.org/10.5067/MODIS/MCD06COSP_M3_MODIS.062

Model code and software

MCD06COSP_D3_MODIS - MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid Robert Pincus, Paul A. Hubanks, Steven E. Platnick, Kerry Meyer, Robert E Holz, Denis Botambekov, and Casey E Wall http://dx.doi.org/10.5067/MODIS/MCD06COSP_D3_MODIS.062

Robert Pincus et al.

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Short summary
This paper describes a new global dataset of cloud properties observed by by a specific satellite program, created to facilitate comparison with a matching observational proxy used in climate models. Statistics are accumulated over daily and monthly time scales on an equal-angle grid. Statistics include cloud detection, cloud-top pressure, and cloud optical properties. Joint histograms are of several variable pairs are also available.