@inproceedings{9d9ae5263f994d93b144dbf4c55f7541,
title = "Ensemble data assimilation simulation experiments for the coastalocean: impact of different observed variables",
abstract = "A coastal ocean data assimilation system tested in simulation earlier is examined for sensitivity to the different types of observational data. The system couples an advanced ensemble Kalman filter algorithm to a detailed and sophisticated primitive equations coastal ocean model. It is found that assimilating only one type of data, say temperature, greatly slows down the approach to asymptotic behavior of the analysis of the other variables. Assimilating temperature alone does not help to infer salinity and vice versa.",
keywords = "Coastal ocean model, Kalman filtering, data assimilation, data impact",
author = "R. Hoffman and Ponte, {R. M.} and Eric Kostelich and A. Blumberg and I. Szunyogh and Vinogradov, {S. V.}",
year = "2008",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2008.4780123",
language = "English (US)",
isbn = "9781424428083",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
number = "1",
pages = "V441--V444",
booktitle = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings",
edition = "1",
note = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings ; Conference date: 06-07-2008 Through 11-07-2008",
}