2600 high latitude issues. 2610 data editing algorithminterestapplicability e1e2entpj1j2g1c2 mss...

2600 High Latitude Issues

2610 Data EditingAlgorithm Interest Applicability

E1 E2 EN TP J1 J2 G1 C2

MSS based editing Improved data editing X X X x x x x x

Fine tuned range and geophysical editing criterias

Improved data screening x X x x x x x

High latitude data editing improved considerably with ENVISAT compared with the ERS satellites, there is however still editing problems close to sea ice. A new editing based on deviation from a MSS will be implemented.

Evaluate the proposed new algorithms in WP2000 in high latitudes.

Refine data editing

2620 Range and Geophysic CorrAlgorithm Interest Applicability

E1 E2 EN TP J1 J2 G2 C2

Seasonal correction Better mean sea surface X X X x

Improved ocean tide correction

Better sea level retrieval. X X X X X X X X

Strong seasonality in i.e., ICESAT means.Compute MSS independent of seasonality

Seasonal SSH correction

Derived by zonal amplitude adjustmentof GECCO using satellite altimetry.

Download ftp.space.dtu.dk/pub/DTU10

New Ocean tide Model DTU10OT

Datasetand Number Wave

Resolution (°) and RMSe (cm)DTU10 FES2004 EOT10a TPXO7.2 GOT4.7 AOTIM

0.125° 0.125° 0.125° 0.25° 0.5° 5 km (150)

Arctic(184)

M2

S2

K1

O1

5.292.882.731.74

5.802.932.841.89

5.792.932.841.90

13.364.223.738.25

7.283.473.701.85

18.777.614.322.11

RSS 6.84 7.34 7.33 16.68 9.06 CADA00.1010 km (36)

Antarctic (37)

M2

S2

K1

O1

2.833.844.034.67

3.173.824.314.85

3.153.824.284.82

4.654.565.184.73

4.864.406.725.46

4.054.554.783.93

RSS 7.80 8.17 8.13 9.57 10.86

Adjustment of FES2004 using: 18Y: T/P+J1+J2, 4Y: T/P+J1, 14Y: E2+N1, 6Y: G1

Use of seasonal cycle significantly improvesArctic tidal modelling – particularly K1/P1

Download ftp.space.dtu.dk/pub/DTU10

2630 Improved Sea Level in areas of sea ice

Interest Applicability

E1 E2 EN TP J1 J2 G2 C2

Ice sheet concentration & thickess reduction

improved spatial and temporal SSH mapping X x

Option:Sea-ice retracking

improved spatial and temporal SSH mapping. X X X

Methods for integrating information of sea ice coverage and thickness through corporation with the Sea Ice ECV will be used to define regions WHERE improved sea level determination can be carried out.

Within reasonably sea ice concentration sea surface height can be estimated/improved by i.e. using info from open leads in the ice.

Improved sea level (July 1-7, 2009)

Left is CorSSH, 7 Days JA+N1 data Right DUACS grid

East-west dipole structure visible. Dipole visible in many weekly grids

Grid based on CLS01 MSS

Mean SLA offset (CorSSH = 5.8 cm DUACS 6.1 cm)

Using DTU10 MSS

Raw CorSSH data Raw RADS data.

Substitute CLS01 with DTU10MSS (consistent range corrections applied)

Mean SLA offset: CorSSH = 0.0 cm RADS = 0.1 cm

Reason for dipole: Difference in applied range corrections for SLA product and CLS01MSS determination

Enhanced processing.

Left CorSSH (7 Days J1+N1 data) Right RADS data.

Interpolated, J1-N1 mission bias adjustment, Large Wavelength Corr replaced with regional X-over adjustmentUsing remove/restore with seasonal SSH effect.

Difference: Editing ???? – Corr: RADS and CorSSH are nearly identical

2640 Improved Sea Level TrendInterest Applicability

E1 E2 EN TP J1 J2 G2 C2MSS / MDT Improved MSS /MDT X X X x

Sea Level Trend Improved sea level trend. X X x

Algorithms for improved data editing (WP2610), and corrections of seasonal sea-ice cover and seasonal sea level signal renders data independent of seasonal icecover (WP2620). Improved determination of SSH in moderate concentration of sea ice (WP2630).

Time series of sea level anomalies and computations of sea level trends (through the satellite periods) at high latitudes will be carried out

WORK IN PROGRESS