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Volume 9, issue 2
Earth Syst. Sci. Data, 9, 511–527, 2017
https://doi.org/10.5194/essd-9-511-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 511–527, 2017
https://doi.org/10.5194/essd-9-511-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 25 Jul 2017

Review article | 25 Jul 2017

Uncertainty information in climate data records from Earth observation

Christopher J. Merchant et al.
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Bates, J. J. and Privette, J. L.: A maturity model for assessing the completeness of climate data records, Eos T. Am. Geophys. Un., 93, 441, https://doi.org/10.1029/2012EO440006, 2012.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentjes, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold A., Razinger, M., Simmons A. J., Suttie, M., and the GEMS-AER team: Aerosol analysis and forecast in the ECMWF Integrated Forecast System: Data assimilation, Technical Memoranda ECMWF 571., European Centre for Medium-range Weather Forecasting, Reading, UK, 2008.
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Climate data records (CDRs) contain data describing Earth's climate and should address uncertainty in the data to communicate what is known about climate variability or change and what range of doubt exists. This paper discusses good practice for including uncertainty information in CDRs for the essential climate variables (ECVs) derived from satellite data. Recommendations emerge from the shared experience of diverse ECV projects within the European Space Agency Climate Change Initiative.
Climate data records (CDRs) contain data describing Earth's climate and should address...
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