Data assimilation for numerical weather prediction
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Title: | Main Title: Data assimilation for numerical weather prediction |
Descriptions: | Abstract: The availability and the appropriate use of accurate and widespread observational information are of paramount importance in order to increase the accuracy of weather forecasts. Data assimilation techniques provide a framework to find the best initial state that is consistent with all available information about the state of the system, here considered to be the Earth’s atmosphere. In this paper, a brief introduction to both variational and ensemble based data assimilation is provided, with a focus on the main characteristics of satellite data assimilation and some of its current issues. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 93-99 |
Identifier: | 10.5880/TR32DB.KGA92.12 (DOI) |
Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
Creator: | Stefano Migliorini (Author) |
Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
Publication Year: | 2011 |
Topic
Subjects: | Keywords: Data Assimilation, Numerical Weather Prediction, Remote Sensing |
File Details
Filename: | Migliorini_2011_KGA92.pdf |
Data Type: | Text - Book Section |
Sizes: | 1906 Kilobytes 7 Pages |
File Size: | 1.9 MB |
Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
Mime Type: | application/pdf |
Language: | English |
Constraints
Download Permission: | Free |
Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
Metadata Creator: | Constanze Curdt |
Metadata Created: | 05.08.2013 |
Metadata Last Updated: | 11.05.2021 |
Subproject: | Z1 |
Funding Phase: | 2 |
Metadata Language: | English |
Metadata Version: | V50 |
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Page Visits: | 378 |
Metadata Downloads: | 0 |
Dataset Downloads: | 3 |
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.