Upload
mimi
View
21
Download
0
Embed Size (px)
DESCRIPTION
D.I. Lysaker, O.C.D. Omang , D. Solheim ESA Living Planet Symposium, Bergen 30. June 2010. Geostrophic Surface Currents in the Northern North Atlantic revealed by GOCE, Gravity Anomalies and MSSH. This presentation shows an example of how to use geodetic data in climate studies. - PowerPoint PPT Presentation
Citation preview
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Geostrophic Surface Currents in the Northern North Atlantic revealed by GOCE, Gravity Anomalies and MSSH
D.I. Lysaker, O.C.D. Omang, D. Solheim
ESA Living Planet Symposium, Bergen 30. June 2010
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
This presentation shows an example of how to use geodetic data in climate studies
Gravity + MSSH
Geostrophic ocean
surface currents
Direct
Synthetic
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Ocean circulation may be estimated if height above geoid is known
Ocean Circulation and Transport between the North Atlantic and the Arctic Sea
www.science.nasa.gov
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
OCTAS -Ocean Circulation and Transport between the North Atlantic and the Arctic Sea
Courtesy Kourosh Ghazavi
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Oceanographic models
• Salinity• Temperature
OCCAM
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Two methods for estimating geostrophic surface currents
• Direct– MDT obtained using LSC
– Combine MSSH and gravity data
• Synthetic– MDT derived by subtracting a regional
gravimetric geoid from a MSSH model
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Direct method uses LSCCross-covariance
between observations y and signal x
Error covariances
Auto-covariance of observations
a-priori signal variance matrix
Covariance matrix for the measurement noise
MDT
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Synthetic method
MDT = MSSH – N + e
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Data used in the direct and synthetic method
MSSH (OCTAS06v3/DNSC08)
Gravity data
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Gravity coverage is not complete in our test area … fill with gravity data from altimetry
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Both models give a lot of features
Combined model (MSSH and g)
Direct model(MSSH and N)
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Geodetic model has smaller features than oceanographic model
Geodetic model (MSSH-N)Oceanographic model (OCCAM)
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Synthetic model fits drifter data better
Average: 10.5 cm/s
Standard deviation: 9.3 cm/s
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Combination model and drifter data
Average: 11.2 cm/s
Standard deviation: 9.8 cm/s
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
OCCAM fits better with drifter data
Model Mean Stdsubtracted (cm/s) (cm/s)
MDT_octas06 11.1 9.8
MDT_dnsc08 11.2 9.8
SMDT_octas06 11.3 16.9
SMDT_dnsc08 10.5 9.3
OCCAM 8.5 8.0
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Mooring data
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
Drifter data fits as good/bad with mooring data as combination model
Model Mean Stdsubtracted (cm/s) (cm/s)
MDT_octas06 8,6 5,3
MDT_kms04 7,7 5,5
MDT_dnsc08 5,4 2,7
SMDT_octas06 10,1 5,2
SMDT_kms04 14,4 8
OCCAM 7,3 4,4
drifter 7,9 6,7
– FOR BENEFIT OF THE SOCIETYSPATIAL DATA
• Using geodetic data reveals smaller features than oceanographic models
• Redistribution of water is due to change in climate
– Gravity observations may contribute to monitor this change
Conclusions