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Laure Zanna

Visiting Professor

Sub department

  • Atmospheric, Oceanic and Planetary Physics
laure.zanna@nyu.edu
Telephone: 01865 (2)72925
Robert Hooke Building, room F52
  • About
  • Publications

Tide-surge adjoint modeling: A new technique to understand forecast uncertainty

Journal of Geophysical Research: Oceans American Geophysical Union (AGU) 118:10 (2013) 5092-5108

Authors:

Chris Wilson, Kevin J Horsburgh, Jane Williams, Jonathan Flowerdew, Laure Zanna
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Singular vectors, predictability and ensemble forecasting for weather and climate

Journal of Physics A: Math. Theor. 46:25 (2013) 254018

Authors:

TN Palmer, L Zanna
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Upper-ocean singular vectors of the North Atlantic climate with implications for linear predictability and variability

Quarterly Journal of the Royal Meteorological Society 138:663 (2012) 500-513

Authors:

L Zanna, P Heimbach, AM Moore, E Tziperman

Abstract:

The limits of predictability of the meridional overturning circulation (MOC) and upper-ocean temperatures due to errors in ocean initial conditions and model parametrizations are investigated in an idealized configuration of an ocean general circulation model (GCM). Singular vectors (optimal perturbations) are calculated using the GCM, its tangent linear and adjoint models to determine an upper bound on the predictability of North Atlantic climate. The maximum growth time-scales of MOC and upper-ocean temperature anomalies, excited by the singular vectors, are 18.5 and 13 years respectively and in part explained by the westward propagation of upper-ocean anomalies against the mean flow. As a result of the linear interference of non-orthogonal eigenmodes of the non-normal dynamics, the ocean dynamics are found to actively participate in the significant growth of the anomalies. An initial density perturbation of merely 0.02 kg m -3 is found to lead to a 1.7 Sv MOC anomaly after 18.5 years. In addition, Northern Hemisphere upper-ocean temperature perturbations can be amplified by a factor of 2 after 13 years. The growth of upper-ocean temperature and MOC anomalies is slower and weaker when excited by the upper-ocean singular vectors than when the deep ocean is perturbed. This leads to the conclusion that predictability experiments perturbing only the atmospheric initial state may overestimate the predictability time. Interestingly, optimal MOC and upper-ocean temperature excitations are only weakly correlated, thus limiting the utility of SST observations to infer MOC variability. The excitation of anomalies in this model might have a crucial impact on the variability and predictability of Atlantic climate. The limit of predictability of the MOC is found to be different from that of the upper-ocean heat content, emphasizing that errors in ocean initial conditions will affect various measures differently and such uncertainties should be carefully considered in decadal prediction experiments. © 2011 Royal Meteorological Society.
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Forecast Skill and Predictability of Observed Atlantic Sea Surface Temperatures

J. of Climate 25:14 (2012) 5047-5056
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Optimal excitation of interannual atlantic meridional overturning circulation variability

Journal of Climate 24:2 (2011) 413-427

Authors:

L Zanna, P Heimbach, AM Moore, E Tziperman

Abstract:

The optimal excitation of Atlantic meridional overturning circulation (MOC) anomalies is investigated in an ocean general circulation model with an idealized configuration. The optimal three-dimensional spatial structure of temperature and salinity perturbations, defined as the leading singular vector and generating the maximum amplification of MOC anomalies, is evaluated by solving a generalized eigenvalue problem using tangent linear and adjoint models. Despite the stable linearized dynamics, a large amplification of MOC anomalies, mostly due to the interference of nonnormal modes, is initiated by the optimal perturbations. The largest amplification of MOC anomalies, found to be excited by high-latitude deep density perturbations in the northern part of the basin, is achieved after about 7.5 years. The anomalies grow as a result of a conversion of mean available potential energy into potential and kinetic energy of the perturbations, reminiscent of baroclinic instability. The time scale of growth of MOC anomalies can be understood by examining the time evolution of deep zonal density gradients, which are related to the MOC via the thermal wind relation. The velocity of propagation of the density anomalies, found to depend on the horizontal component of the mean flow velocity and the mean density gradient, determines the growth time scale of the MOC anomalies and therefore provides an upper bound on the MOC predictability time. The results suggest that the nonnormal linearized ocean dynamics can give rise to enhanced MOC variability if, for instance, overflows, eddies, and/or deep convection can excite high-latitude density anomalies in the ocean interior with a structure resembling that of the optimal perturbations found in this study. The findings also indicate that errors in ocean initial conditions or in model parameterizations or processes, particularly at depth, may significantly reduce the AtlanticMOC predictability time to less than a decade. © 2011 American Meteorological Society.
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