Spatial variability of liquid cloud and rain: observations and microphysical effects

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Boutle, I. A., Abel, S. J., Hill, P. G. orcid id iconORCID: https://orcid.org/0000-0002-9745-2120 and Morcrette, C. J. (2014) Spatial variability of liquid cloud and rain: observations and microphysical effects. Quarterly Journal of the Royal Meteorological Society, 140 (679). pp. 583-594. ISSN 1477-870X doi: 10.1002/qj.2140

Abstract/Summary

Spatial variability of liquid cloud water content and rainwater content is analysed from three different observational platforms: in situ measurements from research aircraft, land-based remote sensing techniques using radar and lidar, and spaceborne remote sensing from CloudSat. The variance is found to increase with spatial scale, but also depends strongly on the cloud or rain fraction regime, with overcast regions containing less variability than broken cloud fields. This variability is shown to lead to large biases, up to a factor of 4, in both the autoconversion and accretion rates estimated at a model grid scale of ≈40 km by a typical microphysical parametrization using in-cloud mean values. A parametrization for the subgrid variability of liquid cloud and rainwater content is developed, based on the observations, which varies with both the grid scale and cloud or rain fraction, and is applicable for all model grid scales. It is then shown that if this parametrization of the variability is analytically incorporated into the autoconversion and accretion rate calculations, the bias is significantly reduced.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/40254
Identification Number/DOI 10.1002/qj.2140
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Royal Meteorological Society
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar