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Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model

Wakeling, M, Eyre, J, Hughes, S and Roulstone, I (2015) Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model Quarterly Journal of the Royal Meteorological Society, 141 (689). pp. 1198-1207.

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Satellite infrared sounders are invaluable tools for making observations of the structure of the atmosphere. They provide much of the observational data used to initialize atmospheric models, especially in regions that do not have extensive surface-based observing systems, such as oceans. However, information is lacking in the presence of cloud, as the cloud layer is opaque to infrared radiation. This means that where information is most desired (such as in a developing storm) it is often in the shortest supply. In order to explore the mathematics of assimilating data from cloudy radiances, a study has been performed using an idealized single-column atmospheric model. The model simulates cloud development in an atmosphere with vertical motion, allowing the characteristics of a 2D-Var data assimilation system using a single simulated infrared satellite observation taken multiple times to be studied. The strongly nonlinear nature of cloud formation poses a challenge for variational methods. The adjoint method produces an accurate gradient for the cost function and minimization is achieved using preconditioned conjugate gradients. The conditioning is poor and varies strongly with the atmospheric variables and the cost function has multiple minima, but acceptable results are achieved. The assimilation system is provided with a prior forecast simulated by adding random correlated Gaussian error to the truth. Assimilating observations comparable to those available from current geostationary satellites allows vertical motion to be retrieved with an error of less than a centimetre per second in most conditions. Moreover, evaluating the second derivative of the cost function at the minimum provides an estimate of the uncertainty in the retrieval. This allows atmospheric states that do not provide sufficient information for retrieval of vertical motion to be detected (such as a cloudless atmosphere or a non-moving opaque cloud layer in the upper troposphere). Retrieval is most accurate with upwards motion.

Item Type: Article
Subjects : Environmental engineering
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
Date : April 2015
Identification Number : 10.1002/qj.2427
Copyright Disclaimer : Copyright 2014 Royal Meteorological Society and Crown Copyright, Met Office Quarterly Journal of the Royal Meteorological Society.
Uncontrolled Keywords : Variational data assimilation, 2D Var, Vertical motion, Infrared geostationary satellite imagery, Cloud
Depositing User : Symplectic Elements
Date Deposited : 22 Aug 2016 10:09
Last Modified : 31 Oct 2017 18:28

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