Clues to quality of journals
Open Access Policy of Helmholtz Association 2016
CC Licencences
Publication Metrics
Home
Deutsch
New EVA Application
Advanced Search
Browse by ...
Publication overview
Statistics (last 5 years)
OA Publications
Submit Publication
Import publication from...
Report missing publication
Contact persons
Help
Text
Endnote (RIS)
BibTeX
Publ. Version/Full Text
DOI
 |
Open Access Gold |
as soon as is submitted to ZB.
Data assimilation approaches in the EURANOS project.
Radioprotection 45, 123-131 (2010)
Within the EURANOS project data assimilation (DA) approaches have been successfully applied in two areas to improve the predictive power of simulation models used in the RODOS and ARGOS decision support systems. For the areas of atmospheric dispersion modelling and of modelling the fate of radio-nuclides in urban areas the results of demonstration exercises are presented here. With the data assimilation module of the RIMPUFF dispersion code, predictions of the gamma dose rate are corrected with simulated readings of fixed detector stations. Using the DA capabilities of the IAMM package for mapping the radioactive contamination in inhabited areas, predictions of a large scale deposition model have been combined with hypothetical measurements on a local scale. In both examples the accuracy of the model predictions has been improved and the uncertainties have been reduced.
Impact Factor
Scopus SNIP
Scopus
Cited By
Cited By
Altmetric
0.000
0.124
2
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Language
Publication Year
2010
HGF-reported in Year
2010
ISSN (print) / ISBN
0033-8451
e-ISSN
1769-700X
Journal
Radioprotection
Quellenangaben
Volume: 45,
Issue: 5,
Pages: 123-131
Publisher
EDP Sciences
Reviewing status
Peer reviewed
Institute(s)
Institute of Radiation Protection (ISS)
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s)
Radiation Sciences
PSP Element(s)
G-501100-005
Scopus ID
84881442404
Erfassungsdatum
2010-11-24