Diagnostics for variability on HYCOM 1/12º Atlantic data assimilative simulations. Z.D.Garraffo, E.P.Chassignet, R.Baraille, O.M.Smedstad, M.
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1 Diagnostics for variability on HYCOM 1/12º Atlantic data assimilative simulations Z.D.Garraffo, E.P.Chassignet, R.Baraille, O.M.Smedstad, M.Gavart
2 Motivation What is the Impact of data assimilation on the ocean circulation for NOWCAST and SHOM simulations? The NOWCAST simulation shows skills and has been used extensively to provide boundary conditions to coastal/regional models. However, are integrated properties conserved?
3 We therefore look at Barotropic and layer transports Vertical structure for mean and variability Heat transport Overturning circulation in 1. The NOWCAST simulation (σ 0 ), daily assimilation of MODAS SSH maps 2. The SHOM s σ 2 * simulation, based on NRL expt 11.8, data assimilation every 7 days
4 43 N, 1 year transport across Atlantic NOWCAST 20Sv Expt 11.8 (free running) -20Sv 0 days days 365 Large variability found in NOWCAST, with large values sustained over many days NOWCAST evaluation: Fritz Schott, L. Smith, Z. Garraffo
5 NOWCAST: northward transport across Atlantic 35ºN 20Sv 50 day mean Motivated by the 43 N transports: Meridional transport time series, every 10º latitude Total mean -20Sv 45N 20Sv Sv Found large variations (~15Sv), and large 50-day averages (+/- 5Sv), especially at 35 N-45 N
6 Net transport across Atlantic, box 35N-45N 50-day mean total mean Example: 5 Sv during 50 days on 10 degree Atlantic latitudinal band SSH = 3 meters!
7 Instead: SSH anomaly from MODAS assimilated daily 2 cm The 3m transport-implied SSH is ~ 100 times bigger than what is assimilated
8 Large transport variations in the 5ºS - 45ºN band NOWCAST High variability occurs over wide latitude band or localized (35ºN-45ºN)
9 SHOM simulation: net transport across Atlantic No assim Assimilation 15S-25S 5S-15S 5N-5S 15N-5N 25N-15N 35N-25N 6Sv 2Sv 45N-35N 55N-45N 65N-55N
10 Summary mass transport Transports are not consistent with mass conservation. The SSH information is propagated downward via potential vorticity conservation (Cooper-Haines) => does not guarantee mass conservation and balanced transport.
11 Now look at : HEAT TRANSPORT o x x o + x o o + x x o O Trenberth X Macdonald + secs NOWCAST o+ Free-running 11.8
12 And also look at: Meridional Overturning Ciculation NOWCAST Free running 11.8 Unrealistic vertical motions and water mass transformations not present in free running case
13 SHOM simulation: Heat transport Assim No assim Unrealistic peak, N, 4pw And variations at equator
14 Overturning stream function in z coordinates No assim Assim Unrealistic cells at 40 N (deep cell) and equator ~38 N: problem seems related to interaction of data assimilation and topography Equatorial problem: in the region of transition from no data assimilation to data assimilation (with no data assimilation in SHOM) SHOM simulation
15 Summary heat transport and MOC Heat content is not conserved via data assimilation. Unrealistic vertical motions and water mass transformation are also present. The southward branch of MOC appears to be too deep at most latitudes in the data assimilative run.
16 Question on vertical structure: The Cooper Haines scheme is active to the top of layer 22, which is the bottom layer in most of the Atlantic configuration. However, mesoscale corrections should mostly operate in the upper ocean. Would it not be better to have the scheme acting to shallower depths?
17 Conclusions Diagnostics was implemented for NOWCAST simulation to detect realistic and unrealistic features of the interior circulation, to find areas for improvement Mass and heat are not conserved by the Cooper-Haines data assimilation As data assimilation methods are improved, the above needs to be taken into account
18 Let s now examine the vertical structure 43ºN section, in observations and NOWCAST (with Fritz Schott and Linda Smith)
19 Geostrophic velocity, example of observed (Sep 2003) 43ºN section (Schott) W E
20 NOWCAST September 2004 section, V-V Lab sea water Western Eastern Generally clear baroclinic structure, but in some places, top and bottom same sign
21 Schott Western V profiles LSW LSW Standard deviation mean mean Standard deviation mean V-VLab Sea Water (Observed, in NOWCAST layers) Model, NOWCAST
22 Schott Eastern V profiles 43N standard deviation standard deviation mean mean Observed Model, NOWCAST
23 35W NOWCAST variability (with Schott) NOWCAST MICOM HYCOM m 150 m 350m 1000m Is it a realistic feature? ~30 day peak at m, but not present above and below In free running simulations a similar peak has maximum variance at the surface
24 SEUC 300m 2.8Sv EUC 21Sv 35W u-velocity merid.sec w mean: [09.1H] m, 4.2Sv 30Sv NBC tot SEC EUC -0.8 SEC SEUC EIC SICC NICC unadw NADW NOWCAST 4000 Observed, Schott ATLd0.08 5S 4S 3S 2S 1S EQ 1N 2N 3N 4N NOWCAST: SEUC deeper than observed, EUC stronger than observed
25 u-velocity merid.sec w mean: [09.1H] m, 4.2Sv 30Sv NBC tot SEC EUC -0.8 SEC SEUC EIC SICC NICC unadw NADW NOWCAST m, 2.3Sv 12.5Sv u-velocity merid.sec w mean: [11.4H] NBC tot SEC EUC -3.7 SEC SEUC 2.3 EIC -6.8 SICC -2.0 NICC unadw NADW 8.4 HYCOM σ ATLd0.08 5S 4S 3S 2S 1S EQ 1N 2N 3N 4N ATLd0.08 5S 4S 3S 2S 1S EQ 1N 2N 3N 4N Hycom σ 2 Very similar results from other σ 0 and σ 2 simulations
26 At the 35W equatorial section, in NOWCAST: Is it unrealistic the vertical structure of variability? SEUC is at deeper depth than in free running solutions (checked that initial state for NOWCAST is similar to free running solutions)
27 Other variable looked: binned thickness time series Bin at 0N 30W, in layer groups Layer thickness, above SEUC, increases in less than 100m, but layer decreases in similar amount bottom (~2200m) SEUC ( m) (reaching ~500m) 17-18(~1300m) top Not important variations in the thickness time series (but the SEUC is 200m in NOWCAST compared with free running)
28 Layer depth timeseries Western Atlantic 40N layer below LSW thickens in 300m, layers below get thinner
29 Layer depth timeseries Western Atlantic 50N 50 N: LSW gets thicker (200m), and layers thinner (500m)
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