A cloud detection algorithm for high‐spectral‐resolution infrared sounders

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On the representation error in data assimilation (2018, unknown): “For clear-sky radiance assimilation, this contribution is primarily the result of failures in cloud detection, aimed at removing cloud-affected observations so that a clear-sky radiative transfer model can be used (e.g. McNally and Watts, 2003).”
Satellite cloud and precipitation assimilation at operational NWP centres (2011, result): “…a large diversity of observations are used in the analysis, the effect of overcast infrared and microwave radiances is isolated by analysis (increment) differences between experiments with and without the respective observation type, but by maintaining all other observations in the experiments.”
The ERA5 global reanalysis (2020, methodology): “Those channels that provide sufficient information are assimilated using a cloud-detection technique based on McNally and Watts (2003).”
The assimilation of Infrared Atmospheric Sounding Interferometer radiances at ECMWF (2009, methodology): “As only clear radiances are being compared, the cloud-detection scheme of McNally and Watts (2003) is employed to identify channels that are unaffected by cloud.”
The assimilation of AIRS radiance data at ECMWF (2006, methodology): “The identification of clear AIRS channels The cloud detection scheme for AIRS is described in McNally and Watts 2003 and will not be reproduced here.”