Field, PR and Furtado, K (2016) How biased is aircraft cloud sampling? Journal of Atmospheric and Oceanic Technology, 33 (1). pp. 185-189. ISSN 0739-0572
Abstract
Aircraft are the dominant method for in-situ sampling of cloud properties. Resource limitations mean that aircraft tend to follow a sampling strategy when there are more that one cloud to choose from. This can result in biased cloud statistics that are used for parametrization development and model testing. In this study, order statistics are used to estimate the potential magnitude of this bias when a strategy based on choosing the larger cloud is employed. It is found, for cloud properties following gamma distributions, that a typical bias of a factor of 1.5 can result when the larger of two clouds are repeatedly chosen for sampling.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Dec 2015 15:05 |
Last Modified: | 25 Oct 2017 11:46 |
Published Version: | http://dx.doi.org/10.1175/JTECH-D-15-0148.1 |
Status: | Published |
Publisher: | American Meteorological Society |
Identification Number: | 10.1175/JTECH-D-15-0148.1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92768 |