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Lewis, S. R.; Holmes, J. A. and Streeter, P. M.
(2018).
URL: http://www-mars.lmd.jussieu.fr/mada2018/Presentati...
Abstract
A key motivation to use data assimilation for plane-tary science is in order to recover information about day-to-day atmospheric variability, or ‘weather’. Whilst there is no immediate need for a regular weather forecast in most planetary science, data assimilation offers the prospect of a systematic rea-nalysis of past and present spacecraft data. This is especially valuable when, as is often the case, a planet is being observed from only one or two orbital platforms at any one time and synoptic-scale weather system may translate and change signifi-cantly between satellite passes. Observations are often sparse and incomplete. This leads to problems of aliasing and potential ambiguity in a convention-al data analysis.
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- Item ORO ID
- 58731
- Item Type
- Conference or Workshop Item
- Project Funding Details
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Funded Project Name Project ID Funding Body Characterizing the Martian water cycle by assimilating ExoMars 2016 Trace Gas Orbiter data ST/R001405/1 UKSA UK Space Agency Modelling and retrieval of martian dust, ice and ozone from ExoMars NOMAD data ST/P001262/1 UKSA UK Space Agency Understanding Planet Mars With Advanced Remote-sensing Datasets and Synergistic studies 633127 EC (European Commission): FP (inc.Horizon2020 & ERC schemes) - Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2018 The Authors
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- Depositing User
- Stephen Lewis