aste (former nose): an arctic subpolar gyre state estimate (nsf-funded) patrick heimbach, an t....
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ASTE (former NOSE):An Arctic subpolar gyre State Estimate(NSF-funded)
Patrick Heimbach, An T. Nguyen, Ayan Chaudhuri, Gael Forget, Rui M. Ponte, and Carl Wunsch
MIT & AER
Estimating the Circulation and Climate of the Oceanhttp://ecco-group.org
Hurricane Sandy on Oct 28, 2012 …
Rationale
• Produce a regional eddy-permitting state estimate focused on:– Arctic ocean– North Atlantic, especially subpolar gyre
• Special emphasis on:– Arctic sea ice-ocean interactions– a dynamically consistent Arctic hydrography– understanding of the planned subpolar gyre
mooring array (OSNAP)– Arctic-subarctic exchanges– Subpolar-subtropical exchanges
ECCO-Production v4 grid: LLC_90
ASTE grid: LLC_270
ASTE domain
ECCO v4residualmisfit toin-situobs.
Take openboundariesfromgloballyoptimizedsolution
Observations: collecting dedicated hydrography in the Nordic Seas
observation instrument product/source area period dT
Mean dynamic topography (MDT)
• GRACE SM004-GRACE3• GRACE GGM02• EGM2008/DNSC07
CLS/GFZ (A.M. Rio)CSR/U. Texas (B. Tapley)N. Pavlis
global time-mean mean
Sea level anomaly (SLA)
• TOPEX/POSEIDON•Jason-1/2• ERS-1/2, ENVISAT• GFO
NOAA/RADS & PO.DAACNOAA/RADS & PO.DAACNOAA/RADS & PO.DAACNOAA/RADS & PO.DAAC
65oN/S65oN/S82oN/S65oN/S
1993 – 20022002 – 20111992 – 20112001 - 2008
dailydailydailydaily
bottom pressure • EIGEN-GRACE05 GFZ Potsdam global 2002 – 2011 weekly
SST • blended, AVHRR (O/I)• TRMM/TMI• AMSR-E (MODIS/Aqua)
Reynolds & SmithGHRSSTGHRSST
Global40oN/SGlobal
1992 - 20111998 - 20042001 - 2011
monthlydailydaily
SSS Various in-situ WOA09 surface Global climatology monthly
In-situ T, S(floats, sections,…)
• Argo, P-Alace• XBT• CTD• SEaOS
IfremerD. Behringer (NCEP)variousSMRU & BAS (UK)
“global”“gobal”sectionsSO
1992 – 2011 1992 – 2011 1992 – 2011 2004 – 2010
dailydailydailydaily
Mooring arrays •TOGA/TAO, Pirata• Florida Straits
PMEL/NOAANOAA/AOML
TropicsN. Atl.
1992 – 20111992 – 2011
dailydaily
Climatological T,S • WOA09• OCCA
WOA09Forget, 2010
“global”“global”
1950 - 20081950 - 2002
meanmean
sea ice cover • satellite brightness temp. (passive microwave)
• NSIDC-0079 (Bootstrap)• NSIDC-0051 (NASA
Team)
Arctic, SO 1992 - 2011 daily
Wind stress QuickSCAT • NASA (Bourassa)• SCOW (Risien & Chelton)
global 1999 – 2009climatology
dailymonthly
Tide gauge SSH Tide gauges NBDC/NOAA sparse 1992 - 2006 monthly
Flux constraints from ERA-Interim, JRA-25, NCEP, CORE-2 variances
Various global 1992 - 2011 2-day to14-day
Balance constraints heat & freshwater (E-P-R) global 1992 - 2011 mean
bathymetry Smith & Sandwell, ETOPO5 global - -
Atmospheric forcing uncertainties
Chaudhuri et al., submitted 2012:A comparison of atmospheric re-analysis products for the Arctic Ocean and implications for uncertainties in air-sea fluxes
Sea ice model development
• Improved sea ice thermodynamics– now conserves properties– supposedly more stable adjoint– easier term-by-term budget
• new sea ice tracer capabilities– first use is simulation of sea ice age to enable split
into first-year (FY) vs. multi-year (MY) sea ice (Pierre Rampal, now at Nansen Center, Bergen)
• implementation of Ice Thickness Distribution (ITD) scheme (Torge Martin, now at APL, UW)
• sea ice dynamics: JFNK solver (Martin Losch) see tomorrow’s session
Initial sample results from improved sea ice model:Simulation and observation of multi-year sea ice fraction
Rampal et al., in preparation
Initial sample results from improved sea ice model:Simulation of the decline of multi-year sea ice fraction
Rampal et al., in preparation
Outlook – see also An Nguyen’s talk on Thursday
• Next steps:– initial optimization of global parameters, especially in
relation to forcing fields– switch from JRA25 to ERA-Interim?– test of adjoint system, especially sea ice
thermodynamics– assessment of an “iter. 0” estimate– perform initial optimization
• Long-term outlook:– Establish feedback loop between global LLC90 (ECCO
v4) and regional LLC270 (ASTE);– Put into global LLC270 context– Develop higher-resolution nestings from optimized
solution