topaz the arctic tep and the arctic goos l. bertino, g. evensen, k.a. lisæter, i. keghouche arctic...

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TOPAZ the Arctic TEP and the Arctic GOOS L. Bertino, G. Evensen, K.A. Lisæter, I. Keghouche Arctic GOOS opening, Bergen, 12 th Sept. 2006

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TOPAZ the Arctic TEP

and the Arctic GOOS

L. Bertino, G. Evensen, K.A. Lisæter, I. Keghouche

Arctic GOOS opening, Bergen, 12th Sept. 2006

Analysis 1st Sept. 2006

Google

Earth

TOPAZ

System DescriptionModel componentsAssimilation method

Upgrades

Motivation

Objective: Provide short-term forecasts of physical and biogeochemical

parameters targeted to users needs (primarily the offshore oil and gas industry)

Strategy Focus on advanced data assimilation techniques Gradual increase of resolution Nesting on regions of higher interest

Support TOPAZ is the Arctic component of MERSEA IP ESA, Industry, private donation (Frank Mohn AS, Bergen)

The TOPAZ model system

TOPAZ: Atlantic and Arctic 18-35 km resolution 22 vertical layers

Assimilates SLA (4 satellite altimeters), SST (from AVHRR), ice concentrations (SSM/I)

Run weekly, ECMWF forcing Provides nesting conditions to

high-res. models

Ice concentration data

Passive MW (NSIDC) Real-time data set (2-3 days

delay) NORSEX algorithm

(Svendsen et al 1983) 37GHz, 19GHz ~25 km resolution

Ice extent and ice volume

Solid black line - ensemble meanDashed black line - free runGrey - individual ensemble members

Barents Sea

TOPAZ2(400x600x22)

20km resolution

TOPAZ3(800x880x22)

11km resolution

TOPAZ UpgradeStronger W. Spitzberg Current

TOPAZ3TOPAZ2

CERSAT - IFREMER

The Arctic TEP Thematic Portal

Common ViewingDownloadingDownscaling

ValidationPlan

Live Access Server

The MERSEA metrics

The MERSEA metrics

Class1: 3D daily averages

Class2: Sections and moorings

Class3: derived quantities (fluxes)

Class4: validation to observations

Top 3 m layer

100 m depths

Validation proceduresagainst in-situ measurements and

climatology

Station at the North Pole

TOPAZ profiles

In-situ data from CORIOLIS

(Argo, XBT, …)

Status / Plan

TOPAZ: next upgrade (TOPAZ3) Apr. 2007 Ice drift data assimilation

Arctic TEP Started during the TOP1 period (Oct. 2005)

Barents Sea model Downscaling from TOPAZ. Real-time since Sept. 2006.

MERSEA TOP2 period (Apr. – Sept. 07) Contributions from all Mersea V2 systems More validation metrics

Thank You

The ingredients Models

HYCOM (U. Miami, USA) Ice model Biogeoch. model (AWI, D)

Observations Altimetry, SST (CLS, F) Sea Ice (NSIDC, USA) Sea Ice drift (Cersat, F) In-situ (CORIOLIS, F)

Data assimilation Ensemble Kalman Filter [Evensen 1994, 2006]

Ensemble Kalman filtering

a stochastic processForecast Analysis

Observations

1. Initial uncertainty

2. Model uncertainty

3. Measurement uncertainty

12

3

Member1

Member2

……

Member99

Member100

Surface temperature update

Assimilation update - Summer

Ice concentration updateSurface salinity update

Results from TOPAZ and nested models

Validation Salinity

Validation Temperature

Results from a nested model

VOLUME TRANSPORTS

How good are the boundary conditions ?

BIC

AW

NCC

Norway-Bear Island

Net transport AW: 1.5 Sv/year (1.7 Sv in winter and 1.3 Sv in Summer)

[Ingvaldsen et al., 2004]

Net transport NCC: 0.5 Sv/year [Blindheim, 1989]

Net transport BIC: -???

Bear Island - Svalbard

Recirculation within the Bear Island Trough is relatively stable at ~ 1.0 Sv

[Ingvaldsen et al., 2002]

Svalbard – Franz Josef

Land

In => 0.4 Sv

Out => 0.1 Sv

[Loeng et al., 1997]

(used Russian literature)

Frans Josef Land – Novaya

Zemlja

In = 0 to 0.3 Sv in Summer

Out = 1.5 Sv (between 0.6 Sv in Summer and 2.6 Sv in Winter)

[Schauer et al., 2002]

Kara Gate

In = 0.1 Sv

Out = 0.05 to 0.7 Sv

[Loeng et al., 1997]

(used Russian literature)

Planned upgrade -TOPAZ3

Expected improvements

Improved dynamics Better resolution of shelf

currents (esp. in the Nordic Seas)

Better fluxes in/out of the Arctic Ocean

More efficient assimilation of altimetry and hydrographic profiles.

NorwaySpitzberg Barents Sea opening

TOPAZ2

TOPAZ3

Future Perspectives Geographical extension

Indian ocean (under development) Pacific Ocean / South China Sea (Nansen-Zhu, Beijing)

Exhaustive model validation In collaboration with the MERSEA gang

Real-time assimilation of more observations Temperature and salinity profiles (Argo program) Ice thicknesses (CRYOSAT) Sea surface salinity (SMOS / Aqua) New geoid and Mean Dynamic Topography (GOCE)

Progresses in data assimilation Biases, non-linearity, parameter estimation

Coupling to a global system Mercator

The end

System Applications

Nested systems in1. North Sea (N. Winther/C. Hansen)2. Gulf of Mexico (F. Counillon)3. Barents Sea (I. Keghouche)

Illustr.

I. Kerghouche