Data assimilation for numerical weather prediction

This page lists the DOI metadata that was entered for this dataset. You can download the dataset.

The full metadata can be seen here.

Feature
Citation
Citation Options
Identification
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
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
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
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:378
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
Feature