<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.ocean-sci.net/inc/os/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Ocean Science</journal_title>
		<journal_url>www.ocean-sci.net</journal_url>
		<issn>1812-0784</issn>
		<eissn>1812-0792</eissn>
		<volume_number>6</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/os-6-761-2010</doi>
	<article_url>http://www.ocean-sci.net/6/761/2010/</article_url>
	<abstract_html>http://www.ocean-sci.net/6/761/2010/os-6-761-2010.html</abstract_html>
	<fulltext_pdf>http://www.ocean-sci.net/6/761/2010/os-6-761-2010.pdf</fulltext_pdf>
	<start_page>761</start_page>
	<end_page>774</end_page>
	<publication_date>2010-08-05</publication_date>
	<article_title content_type="html">Impact of hydrographic data assimilation on the modelled Atlantic meridional overturning circulation</article_title>
	<authors>
		<author numeration="1" affiliations="1,3">
			<name>G. C. Smith</name>
			<email>gregory.smith@ec.gc.ca</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>K. Haines</name>
		</author>
		<author numeration="3" affiliations="2,4">
			<name>T. Kanzow</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>S. Cunningham</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Environmental Systems Science Centre, University of Reading, Reading, UK</affiliation>
		<affiliation numeration="2" content_type="html">National Oceanographic Centre, Southampton, UK</affiliation>
		<affiliation numeration="3" content_type="html">now at: Environment Canada, Montreal, Canada</affiliation>
		<affiliation numeration="4" content_type="html">now at: IFM-GEOMAR, University of Kiel, Kiel, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Here we make an initial step toward the development of an ocean assimilation
system that can constrain the modelled Atlantic Meridional Overturning
Circulation (AMOC) to support climate predictions. A detailed comparison is
presented of 1° and 1/4° resolution global model simulations with
and without sequential data assimilation, to the observations and transport
estimates from the RAPID mooring array across 26.5° N in the Atlantic.
Comparisons of modelled water properties with the observations from the
merged RAPID boundary arrays demonstrate the ability of in situ data assimilation
to accurately constrain the east-west density gradient between these mooring
arrays. However, the presence of an unconstrained &quot;western boundary wedge&quot;
between Abaco Island and the RAPID mooring site WB2 (16 km offshore) leads to
the intensification of an erroneous southwards flow in this region when in situ
data are assimilated. The result is an overly intense southward upper
mid-ocean transport (0–1100 m) as compared to the estimates derived from the
RAPID array.
&lt;br&gt;&lt;br&gt;
Correction of upper layer zonal density gradients is found to compensate
mostly for a weak subtropical gyre circulation in the free model run (i.e. with no assimilation). Despite the important changes to the density
structure and transports in the upper layer imposed by the assimilation,
very little change is found in the amplitude and sub-seasonal variability of
the AMOC. This shows that assimilation of upper layer density information
projects mainly on the gyre circulation with little effect on the AMOC at
26° N due to the absence of corrections to density gradients below
2000 m (the maximum depth of Argo).

&lt;br&gt;&lt;br&gt;

The sensitivity to initial conditions was explored through two additional
experiments using a climatological initial condition. These experiments
showed that the weak bias in gyre intensity in the control simulation
(without data assimilation) develops over a period of about 6 months, but
does so independently from the overturning, with no change to the AMOC.
However, differences in the properties and volume transport of North
Atlantic Deep Water (NADW) persisted throughout the 3 year simulations
resulting in a difference of 3 Sv in AMOC intensity. The persistence of
these dense water anomalies and their influence on the AMOC is promising for
the development of decadal forecasting capabilities. The results suggest
that the deeper waters must be accurately reproduced in order to constrain
the AMOC.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Adcroft, A., Hill, C., and Marshall, J.: Representation of topography by shaved cells in a height coordinate ocean model, Mon. Weather Rev., 125, 2293–2315, 1997. </reference>
		<reference numeration="2" content_type="text"> Balmaseda, M. A., Smith, G. C., Haines, K., Anderson, D., Palmer, T. N., and Vidard, A.: Historical reconstruction of the Atlantic Meridional Overturning Circulation from the ECMWF operational ocean reanalysis, Geophys. Res. Lett., 34, L23615, doi:10.1029/2007GL031645, 2007. </reference>
		<reference numeration="3" content_type="text"> Baringer, M. O. and Larsen, J. C.: Sixteen years of Florida Current transport at 27° N, Geophys. Res. Lett., 16, 3179–3182, doi:10.1029/2001GL013246, 2001. </reference>
		<reference numeration="4" content_type="text"> Barnier, B., Brodeau, L., Le Sommer, J., and coauthors: Eddy-permitting Ocean Circulation Hindcasts of Past Decades, CLIVAR Exchanges, 12(3), 8–10, 2007. </reference>
		<reference numeration="5" content_type="text"> Barnier, B., Madec, G., Penduff, T., Molines, J.-M., Treguier, A.-M., Le Sommer, J., Beckmann, A., Biastoch, A., Böning, C., Dengg, J., Derval, J., Durand, E., Gulev, S., Remy, E., Talandier, C., Theetten, S., Maltrud, M., McClean, J., and De Cuevas, B.: Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy-permitting resolution, Ocean Dynam., 56, 6543–6567, doi:10.1007/s10236-006-0082-1, 2008. </reference>
		<reference numeration="6" content_type="text"> Baehr, J., Cunnningham, S., Haak, H., Heimbach, P., Kanzow, T., and Marotzke, J.: Observed and simulated estimates of the meridional overturning circulation at 26.5° N in the Atlantic, Ocean Sci., 5, 575–589, doi:10.5194/os-5-575-2009, 2009. </reference>
		<reference numeration="7" content_type="text"> Blanke, B. and Delecluse, P.: Variability of the Tropical Atlantic Ocean Simulated by a General Circulation Model with Two Different Mixed-Layer Physics, J. Phys. Oceanogr., 23, 1363–1388, 1993. </reference>
		<reference numeration="8" content_type="text"> Bloom, S. C., Tacks, L. L., daSilva, A. M., and Ledvina, D.: Data assimilation using incremental analysis updates, Mon. Weather Rev., 124, 1256–1271, 1996. </reference>
		<reference numeration="9" content_type="text"> Boyer, T. P., Garcia, H. E., Johnson, D. R., Locarnini, R. A., Mishonov, A. V., Pitcher, M. T., Baranova, O. K., and Smolyar, I. V.: World Ocean Database 2005, NOAA Atlas NESDIS~60, edited by: Levitus, S., US~Gov. Print. Off., Washington DC, 190~pp., 2006. </reference>
		<reference numeration="10" content_type="text"> Brodeau, L., Barnier, B., Treguier, A.-M., Penduff, T., and Gulev, S.: An ERA40 based atmospheric forcing for global ocean circulation models, submitted to Ocean Model., 31, 88–104, doi:10.1016/j.ocemod.2009.10.005, 2010. </reference>
		<reference numeration="11" content_type="text"> Bryden, H. L., Longworth, H. L., and Cunningham, S. A.: Slowing of the Atlantic Meridional Overturning Circulation at 25° N, Nature, 438, 655–657, 2005. </reference>
		<reference numeration="12" content_type="text"> Collins, M. and Sinha, B.: Predictability of decadal variations in the thermohaline circulation and climate, Geophys. Res. Lett., 30(6), 1306, doi:10.1029/2002GL016504, 2003. </reference>
		<reference numeration="13" content_type="text"> Collins, M., Botzet, M., Carril, A. F., and coauthors: Interannual to decadal climate predictability in the North Atlantic: A multimodel-ensemble study, J. Climate, 19, 1195–1203, 2006. </reference>
		<reference numeration="14" content_type="text"> Conkright, M. E., Locarnini, R. A., Garcia, H. E., O&apos;Brian, T. D., Boyer, T. P., Stephens, C., and Antonov, J. I.: World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures, CD-ROM Documentation, National Oceanographic Data Center, Silver Spring, MD, 17~pp., 2002 </reference>
		<reference numeration="15" content_type="text"> Cunningham, S. A., Kanzow, T., Rayner, D., Baringer, M. O., Johns, W. E., Marotzke, J., Longworth, H. R., Grant, E. M., Hirschi, J. J.-M., Beal, L. M., Meinen, C. S., and Bryden, H. L.: Temporal Variability of the Atlantic Meridional Overturning circulation at 26.5° N, Science, 317, 935–938, doi:10.1126/science.1141304, 2007. </reference>
		<reference numeration="16" content_type="text"> Dunstone, N. J. and Smith, D. M.: Impact of atmosphere and sub-surface ocean data on decadal climate prediction, Geophys. Res. Lett., 37, L02709, doi:10.1029/2009GL041609, 2010. </reference>
		<reference numeration="17" content_type="text"> Fichefet, T. and Maqueda, M. A. M.: Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics, J. Geophys. Res., 102, 12609–12646, 1997. </reference>
		<reference numeration="18" content_type="text"> Gemmell, A., Smith, G. C., Haines, K., and Blower, J.: Ocean model-data analyses with OceanDIVA, J. Operat. Oceanogr., 2(2), 29–41, 2009. </reference>
		<reference numeration="19" content_type="text"> Gemmell, A., Smith, G. C., Haines, K., and Blower, J.: Evaluation of water masses in ocean synthesis products, CLIVAR Exchanges, 13(4), 7–9, 2008. </reference>
		<reference numeration="20" content_type="text"> Gent, P. R. and McWilliams, J. C.: Isopycnal Mixing in Ocean Circulation Models, J. Phys. Oceanogr., 20, 150–155, 1990. </reference>
		<reference numeration="21" content_type="text"> Goose, H. and Fichefet, T.: Importance of ice-ocean interactions for the global ocean circulation: A model study, J. Geophys. Res., 104(23), 23337–23355, 1999. </reference>
		<reference numeration="22" content_type="text"> Gould, J.: From swallow floats to Argo – The development of neutrally buoyant floats, Deep Sea Res. Pt I, 52, 529–543, 2005. </reference>
		<reference numeration="23" content_type="text"> Griffies, S. M. and Bryan, K.: Predictability of North Atlantic multidecadal climate variability, Science, 275, 181–184, 1997. </reference>
		<reference numeration="24" content_type="text"> Haines, K., Blower, J., Drecourt, J.-P., Liu, C., Vidard, A., Astin, I., and Zhou, X.: Salinity assimilation using S(T) relationships, Mon. Weather Rev., 134, 759–771, 2006. </reference>
		<reference numeration="25" content_type="text"> Ingleby, B. and Huddleston, M.: Quality control of ocean temperature and salinity profiles–-Historical and real-time data, J. Mar. Syst., 65, 158–175, 2007. </reference>
		<reference numeration="26" content_type="text"> Jansen, E., Overpeck, J., Briffa, K. R., Duplessy, J.-C., Joos, F., Masson-Delmotte, V., Olago, D., Otto-Bliesner, B., Peltier, W. R., Rahmstorf, S., Ramesh, R., Raynaud, D., Rind, D., Solomina, O., Villalba, R. ,and Zhang, D.: Palaeoclimate, in: Climate Change 2007: The Physical Science Basis, Contribution of Working Group~I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2007. </reference>
		<reference numeration="27" content_type="text"> Juza, M., Penduff, T., Barnier, B., and Brankart, J. M.: Analysis of monthly ARGO sampling errors in the global ocean mixed layer: a DRAKKAR model study, in preparation, 2010. </reference>
		<reference numeration="28" content_type="text"> Kanzow, T., Cunningham, S. A., Rayner, D., Hirschi, J. J.-M., Johns, W. E., Baringer, M. O., Bryden, H. L., Beal, L. M., Meinen, C. S., and Marotzke, J.: Observed flow compensation associated with the MOC at 26.5 N in the Atlantic, Science, 317, 938–941, 2007. </reference>
		<reference numeration="29" content_type="text"> Kanzow, T., Hirschi, J. J-M., Meinen, C., Rayner, D., Cunningham, S. A., Marotzke, J., Johns, W. E., Bryden, H. L., Beal, L. M., and Baringer, M. O.: A prototype system for observing the Atlantic meridional overturning circulation – scientific basis, measurement and risk mitigation strategies, and first results, J. Operat. Oceanogr., 1, 19–28, 2008 </reference>
		<reference numeration="30" content_type="text"> Kanzow, T., Johnson, H. L., Marshall, D. P., Cunningham, S. A., Hirschi, J. J.-M., Mujahid, A., Bryden, H. L., and Johns, W. E.: Basin-wide integrated volume transports in an eddy-filled ocean, J. Phys. Oceanogr., 39(12), 3091–3110, doi:10.1175/2009JPO4185.1, 2010. </reference>
		<reference numeration="31" content_type="text"> Kanzow, T., Cunningham, S. A., Johns, W. E., Hirschi, J. J.-M., Marotzke, J., Baringer, M. O., Meinen, C. S., Chidichimo, M. P., Atkinson, C., Beal, L. M., Bryden, H. L., and Collins, J.: Seasonal variability of the Atlantic meridional overturning circulation at 26.5° N, J. Climate, doi:10.1175/2010JCLI3389.1, in press, 2010. </reference>
		<reference numeration="32" content_type="text"> Keenlyside, N. S., Latif, M., Jungclaus, J., Kornblueh, L., and Roeckner, E.: Advancing decadal-scale climate prediction in the North Atlantic sector, Nature, 453, 84–88, doi:10.1038/nature06921, 2008. </reference>
		<reference numeration="33" content_type="text"> Knight, J. R., Allan, R. J., Folland, C. K., Vellinga, M., and Mann, M. E.: A signature of persistent natural thermohaline circulation cycles in observed climate, Geophys. Res. Lett., 32, L20708, doi:10.1029/2005GL024233, 2005. </reference>
		<reference numeration="34" content_type="text"> Köhl, A.: Group~2: Meridional Transports, Oral Presentation at CLIVAR-GSOP Meeting on Ocean Synthesis Evaluation, available at: http://www.clivar.org/organization/gsop/synthesis/synthesis.php, 31~August–1~September, last access: August 2010, 2006. </reference>
		<reference numeration="35" content_type="text"> Large, W. G. and Yeager, S. G.: Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies, Technical Report TN-460+STR, NCAR, 105~pp., 2004. </reference>
		<reference numeration="36" content_type="text"> Madec, G., Delecluse, P., Imbard, M., and Levy, C.: OPA~8.1 general circulation model reference manual, Notes de l&apos;IPSL, University P et M Curie, B102~T15-E5, Paris, No 11, 91~p., 1998. </reference>
		<reference numeration="37" content_type="text"> Madec, G.: NEMO reference manual, ocean dynamics component: NEMO-OPA, Preliminary version, Note du Pole de modélisation, Institut Pierre-Simon Laplace (IPSL), France, No~27 ISSN No~1288-1619, 2008. </reference>
		<reference numeration="38" content_type="text"> Martin, M. J., Hines, A., and Bell, M. J.: Data assimilation in the FOAM operational short-range ocean forecasting system: a description of the scheme and its impact, Q. J. Roy. Meteor. Soc., 133, 981–995, 2007. </reference>
		<reference numeration="39" content_type="text"> Meehl, G. A., Stocker, T. F., Collins, W. D., Friedlingstein, P., Gaye, A. T., Gregory, J. M., Kitoh, A., Knutti, R., Murphy, J. M., Noda, A., Raper, S. C. B., Watterson, I. G., Weaver, A. J., and Zhao, Z.-C.: Global Climate Projections, in: Climate Change 2007: The Physical Science Basis, Contribution of Working Group~I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2007. </reference>
		<reference numeration="40" content_type="text"> Penduff, T., Juza, M., Brodeau, L., Smith, G. C., Barnier, B., Molines, J.-M., Treguier, A.-M., and Madec, G.: Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales, Ocean Sci., 6, 269–284, doi:10.5194/os-6-269-2010, 2010. </reference>
		<reference numeration="41" content_type="text"> Roullet, G. and Madec, G.: Salt conservation, free surface, and varying levels: a new formulation for ocean general circulation models, J. Geophys. Res., 105(23), 23927–23942, 2000. </reference>
		<reference numeration="42" content_type="text"> Smith, D. M., Cusack, S., Colman, A. W., Folland, C. K., Harris, G. R., and Murphy, J. M.: Improved surface temperature prediction for the coming decade from a global climate model, Science, 317, 796–799, 2007. </reference>
		<reference numeration="43" content_type="text"> Smith, G. C. and Haines, K.: Evaluation of the S(T) assimilation method with the Argo dataset, Q. J. Roy. Meteor. Soc., 135, 739–756, 2009. </reference>
		<reference numeration="44" content_type="text"> Troccoli, A. and Haines, K.: Use of the temperature-salinity relation in a data assimilation context, J. Atmos. Ocean. Tech., 16, 2011–2025, 1999. </reference>
		<reference numeration="45" content_type="text"> Vidard, A., Anderson, D. L. T., and Balmaseda, M.: Impact of ocean observation systems on ocean analysis and seasonal forecasts, Mon. Weather Rev., 135, 409–429, doi:10.1175/MWR3310.1, 2007. </reference>
	</references>
</article>

