Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset
Résumé
A technique is presented that uses attenuated backscatter profiles from the
CALIOP satellite lidar to estimate cloud base heights of lower-troposphere
liquid clouds (cloud base height below approximately 3 km). Even when clouds are
thick enough to attenuate the lidar beam (optical thickness τ≳5),
the technique provides cloud base heights by treating the cloud base height of
nearby thinner clouds as representative of the surrounding cloud field. Using
ground-based ceilometer data, uncertainty estimates for the cloud base height
product at retrieval resolution are derived as a function of various
properties of the CALIOP lidar profiles. Evaluation of the predicted cloud
base heights and their predicted uncertainty using a second statistically
independent ceilometer dataset shows that cloud base heights and
uncertainties are biased by less than 10 %. Geographic distributions of cloud
base height and its uncertainty are presented. In some regions, the
uncertainty is found to be substantially smaller than the 480 m
uncertainty assumed in the A-Train surface downwelling longwave estimate,
potentially permitting the most uncertain of the radiative fluxes in the
climate system to be better constrained. The cloud base dataset is available
at https://doi.org/10.1594/WDCC/CBASE.
Domaines
Océan, AtmosphèreOrigine | Fichiers produits par l'(les) auteur(s) |
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