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ESSD | Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 41–60, 2020
https://doi.org/10.5194/essd-12-41-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 41–60, 2020
https://doi.org/10.5194/essd-12-41-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data description paper 06 Jan 2020

Data description paper | 06 Jan 2020

Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties

Martin Stengel et al.

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Cited articles

Allan, R. P.: Combining satellite data and models to estimate cloud radiative effect at the surface and in the atmosphere, Meteorol. Appl., 18, 324–333, https://doi.org/10.1002/met.285, 2011. a
ATBD-CC4CL-BBFlux: ESA Cloud_cci Algorithm Theoretical Baseline Document (ATBD) of CC4CL Broadband Radiative Flux Retrieval, issue 1, rev. 1, 14 october 2019 edn., available at: http://www.esa-cloud-cci.org/?q=documentation (last access: 12 December 2019), 2019. a
Baran, A. J., Shcherbakov, V. N., Baker, B. A., Gayet, J. F., and Lawson, R. P.: On the scattering phase-function of non-symmetric ice-crystals, Q. J. Roy. Meteorol. Soc., 131, 2609–2616, https://doi.org/10.1256/qj.04.137, 2005. a
Baró, R., Jiménez-Guerrero, P., Stengel, M., Brunner, D., Curci, G., Forkel, R., Neal, L., Palacios-Peña, L., Savage, N., Schaap, M., Tuccella, P., Denier van der Gon, H., and Galmarini, S.: Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations, Atmos. Chem. Phys., 18, 15183–15199, https://doi.org/10.5194/acp-18-15183-2018, 2018. a
Baum, B. A., Yang, P., Heymsfield, A. J., Bansemer, A., Cole, B. H., Merrelli, A., Schmitt, C., and Wang, C.: Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100 µm, J. Quant. Spectrosc. Ra. Transf., 146, 123–139, https://doi.org/10.1016/j.jqsrt.2014.02.029, 2014. a
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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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