A real-time assimilation algorithm applied to near-surface ocean winds
(2004) In Preprint without journal information- Abstract
- Marine operations depend on the ability to forecast suddenly appearing storms and failures often cause great damage. As a part of a sea state alarm study, meteorological forecasts overlaid with satellite measurements sent to ships have been found to be a useful tool. In this paper we present a real-time assimilation algorithm that extends this tool using statistical methods. The algorithm is applied to near-surface ocean zonal wind speeds.
The meteorological model is emulated using a Kalman filter technique. Together with a spatio-temporal state-space model the filter allows us to obtain forecasts which are overlaid with satellite measurements using a kriging method. Examples of overlays together with their statistical... (More) - Marine operations depend on the ability to forecast suddenly appearing storms and failures often cause great damage. As a part of a sea state alarm study, meteorological forecasts overlaid with satellite measurements sent to ships have been found to be a useful tool. In this paper we present a real-time assimilation algorithm that extends this tool using statistical methods. The algorithm is applied to near-surface ocean zonal wind speeds.
The meteorological model is emulated using a Kalman filter technique. Together with a spatio-temporal state-space model the filter allows us to obtain forecasts which are overlaid with satellite measurements using a kriging method. Examples of overlays together with their statistical uncertainties are presented and discussed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/929328
- author
- Malmberg, Anders LU ; Holst, Jan LU and Holst, Ulla LU
- organization
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- unpublished
- subject
- in
- Preprint without journal information
- issue
- 2004:34
- publisher
- Manne Siegbahn Institute
- ISSN
- 0348-7911
- language
- English
- LU publication?
- yes
- id
- 5ccf8cde-8a37-4508-8787-f1d3f34b3db4 (old id 929328)
- date added to LUP
- 2016-04-04 09:23:25
- date last changed
- 2018-11-21 20:52:46
@article{5ccf8cde-8a37-4508-8787-f1d3f34b3db4, abstract = {{Marine operations depend on the ability to forecast suddenly appearing storms and failures often cause great damage. As a part of a sea state alarm study, meteorological forecasts overlaid with satellite measurements sent to ships have been found to be a useful tool. In this paper we present a real-time assimilation algorithm that extends this tool using statistical methods. The algorithm is applied to near-surface ocean zonal wind speeds. <br/><br> The meteorological model is emulated using a Kalman filter technique. Together with a spatio-temporal state-space model the filter allows us to obtain forecasts which are overlaid with satellite measurements using a kriging method. Examples of overlays together with their statistical uncertainties are presented and discussed.}}, author = {{Malmberg, Anders and Holst, Jan and Holst, Ulla}}, issn = {{0348-7911}}, language = {{eng}}, number = {{2004:34}}, publisher = {{Manne Siegbahn Institute}}, series = {{Preprint without journal information}}, title = {{A real-time assimilation algorithm applied to near-surface ocean winds}}, year = {{2004}}, }