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Discussion papers
https://doi.org/10.5194/essd-2019-104
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-104
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data description paper 03 Jul 2019

Data description paper | 03 Jul 2019

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

Cloud_cci AVHRR-PM dataset version 3: 35 year climatology of global cloud and radiation properties

Martin Stengel1, Stefan Stapelberg1,2, Oliver Sus1,2, Stephan Finkensieper1, Benjamin Würzler1, Daniel Philipp3,1, Rainer Hollmann1, Caroline Poulsen4, Matthew Christensen4,5, and Gregory McGarragh5 Martin Stengel et al.
  • 1Deutscher Wetterdienst, Frankfurter Str. 135, 63067, Offenbach, Germany
  • 2European Organisation for the Exploitation of Meteorological Satellites, Darmstadt, Germany
  • 3Institute for Atmospheric and Environmental Sciences, Goethe University, Frankfurt am Main, Germany
  • 4Science technology Facility Council, Rutherford Appleton Laboratory, Didcot, Oxfordshire, UK
  • 5Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK

Abstract. We present version 3 of the Cloud_cci AVHRR-PM dataset which contains a comprehensive set of cloud and radiative flux properties on a global scale covering the period of 1982 to 2016. The properties were retrieved from Advanced Very High Resolution Radiometer (AVHRR) measurements recorded by the afternoon (post meridiem, PM) satellites of the National Oceanic and Atmospheric Administration (NOAA) Polar Operational Environmental Satellites (POES) missions. The cloud properties in version 3 are of improved quality compared with the precursor dataset version 2, providing better global quality scores for cloud detection, cloud phase and ice water path based on validation results against A-Train sensors. Furthermore, the parameter set was extended by a suite of broadband radiative flux properties. They were calculated by combining the retrieved cloud properties with thermodynamic profiles from reanalysis and surface properties. The flux properties comprise upwelling and downwelling, shortwave and longwave broadband fluxes at the surface (bottom-of-atmosphere - BOA) and top-of-atmosphere (TOA). All fluxes were determined at AVHRR pixel level for all-sky and clear-sky conditions, which will particularly facilitate the assessment of the cloud radiative effect at BOA and TOA in future studies. Validation of the BOA downwelling fluxes against the Baseline Surface Radiation Network (BSRN) show a very good agreement. This is supported by comparisons of multi-annual mean maps with NASA's Clouds and the Earth's Radiant Energy System (CERES) products for all fluxes at BOA and TOA. The Cloud_cci AVHRR-PM version 3 dataset allows for a large variety of climate applications that build on cloud properties, radiative flux properties and/or the link between them.

For the presented Cloud_cci AVHRR-PMv3 dataset a Digital Object Identifier has been issued: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003 (Stengel et al., 2019).

Martin Stengel et al.
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Martin Stengel et al.
Data sets

ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci AVHRR-PM L3C/L3U PRODUCTS v3.0 Martin Stengel, Oliver Sus, Stefan Stapelberg, Stephan Finkensieper, Benjamin Würzler, Daniel Philipp, Rainer Hollmann, and Caroline Poulsen https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003

Martin Stengel et al.
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Short summary
The Cloud_cci AVHRR-PMv3 dataset contains global, cloud and radiative flux properties covering the period of 1982 to 2016. The properties were retrieved from AVHRR measurements recorded by afternoon satellites of the NOAA POES missions. Validation against CALIOP, BSRN and CERES demonstrates the high quality of the data. The Cloud_cci AVHRR-PMv3 dataset allows for a large variety of climate applications that build on cloud properties, radiative flux properties and/or the link between them.
The Cloud_cci AVHRR-PMv3 dataset contains global, cloud and radiative flux properties covering...
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