Variational Assimilation of Remotely-Sensed Observations of the Atmosphere (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

摘要

This paper considers some of the problems that arise concerning the assimilation of remotely-sensed observations into numerical weather prediction models, including the options and compromises that have to be faced in deciding whether and how to pre-process the observations prior to assimilation. These issues are discussed first in general and then in relation to some specific observation types: TOVS radiances, satellite winds and cloud imagery, SSM/I data, scatterometer data and radio occultation data. Results of recent work in these areas at ECMWF are summarized or referenced.