Spectral Signatures of the Tropical Pacific Dynamics from Model And

Spectral Signatures of the Tropical Pacific Dynamics from Model And

Ocean Sci., 14, 1283–1301, 2018 https://doi.org/10.5194/os-14-1283-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Spectral signatures of the tropical Pacific dynamics from model and altimetry: a focus on the meso-/submesoscale range Michel Tchilibou1, Lionel Gourdeau1, Rosemary Morrow1, Guillaume Serazin1, Bughsin Djath2, and Florent Lyard1 1Laboratoire d’Etude en Géophysique et Océanographie Spatiales (LEGOS), Université de Toulouse, CNES, CNRS, IRD, UPS, Toulouse, France 2Helmholtz-Zentrum Geesthacht Max-Planck-Straße, Geesthacht, Germany Correspondence: Lionel Gourdeau ([email protected]) Received: 20 April 2018 – Discussion started: 28 June 2018 Revised: 18 September 2018 – Accepted: 28 September 2018 – Published: 24 October 2018 Abstract. The processes that contribute to the flat sea sur- question of altimetric observability of the shorter mesoscale face height (SSH) wavenumber spectral slopes observed in structures in the tropics. the tropics by satellite altimetry are examined in the tropi- cal Pacific. The tropical dynamics are first investigated with a 1=12◦ global model. The equatorial region from 10◦ N to 10◦ S is dominated by tropical instability waves with a peak 1 Introduction of energy at 1000 km wavelength, strong anisotropy, and a cascade of energy from 600 km down to smaller scales. The Recent analyses of global sea surface height (SSH) off-equatorial regions from 10 to 20◦ latitude are charac- wavenumber spectra from along-track altimetric data (Xu terized by a narrower mesoscale range, typical of midlati- and Fu, 2011, 2012; Zhou et al., 2015) have found that tudes. In the tropics, the spectral taper window and segment while the midlatitude regions have spectral slopes consis- lengths need to be adjusted to include these larger energetic tent with quasi-geostrophic (QG) theory or surface quasi- scales. The equatorial and off-equatorial regions of the 1=12◦ geostrophic (SQG) theory, the tropics were noted as regions model have surface kinetic energy spectra consistent with with very flat spectral slopes (Fig. 1a). The objective of quasi-geostrophic turbulence. The balanced component of this paper is to better understand the processes specific to the dynamics slightly flattens the EKE spectra, but modeled the tropics that contribute to the SSH wavenumber spec- SSH wavenumber spectra maintain a steep slope that does tral slopes observed by satellite altimetry, particularly in the not match the observed altimetric spectra. A second analy- “mesoscale” range at scales < 600 km and 90 days (Tulloch sis is based on 1=36◦ high-frequency regional simulations in et al., 2009). the western tropical Pacific, with and without explicit tides, Only a few studies have addressed the tropical dynamics where we find a strong signature of internal waves and inter- at spatial scales smaller than this 600 km cutoff wavelength. nal tides that act to increase the smaller-scale SSH spectral The tropics are characterized by a large latitude-dependent ◦ energy power and flatten the SSH wavenumber spectra, in Rossby deformation radius (Ld) varying from 80 km at 15 agreement with the altimetric spectra. The coherent M2 baro- to 250 km in the equatorial band (Chelton et al., 1998). Dif- clinic tide is the dominant signal at ∼ 140 km wavelength. At ferent studies have clearly distinguished the tropical regions short scales, wavenumber SSH spectra are dominated by in- dominated by linear planetary waves from the midlatitudes coherent internal tides and internal waves which extend up dominated by non-linear regimes (Fu, 2004; Theiss, 2004; to 200 km in wavelength. These incoherent internal waves Chelton et al., 2007). Close to the Equator, baroclinic in- impact space scales observed by today’s along-track altimet- stability is inhibited, while barotropic instability becomes ric SSH, and also on the future Surface Water Ocean Topog- more important (Qiu and Chen, 2004), and mesoscale struc- raphy (SWOT) mission 2-D swath observations, raising the tures arise from the baroclinic and barotropic instabilities as- sociated with the vertical and horizontal shears of the up- Published by Copernicus Publications on behalf of the European Geosciences Union. 1284 M. Tchilibou et al.: Spectral signatures of the tropical Pacific dynamics from model and altimetry Figure 1. (a) Spatial distribution of altimetric along-track SSH wavenumber spectral slope calculated in the fixed 70–250 km mesoscale range (from Xu and Fu, 2011; their Fig. 2). (b) Latidudinal dependence of the altimetric SSH along-track wavenumber spectra in the Atlantic Ocean (from Dufau et al., 2016; their Fig. 3). The colors of the spectra refer to the geographical boxes where along-track data were averaged on the right. per circulation (Ubelmann and Fu, 2011; Marchesiello et Ray and Zaron, 2016), and shows that they can dominate in al., 2011). This distinct regime in the tropics raises many regions of low eddy energy. Dufau et al. (2016) demonstrated questions on the representation of the meso-/submesoscale that internal tides can introduce spectral peaks in the altimet- tropical dynamics in the global analyses of along-track al- ric wavenumber spectra from 100 to 300 km wavelength, es- timetric wavenumber spectra. How are these complex f - pecially at low latitudes (Fig. 1b). Recent results from a high- variable zonal currents folded into along-track wavenumber resolution 1=48◦ model highlight that the tidal and supertidal spectra, calculated in 10 × 10◦ bins with a dominant merid- signals in one region of the equatorial Pacific greatly exceed ional sampling in the tropics? Also, the tropics are character- the subtidal dynamics at scales less than 300 km wavelength, ized by strong ageostrophic flow, and the representativeness and supertidal phenomena are substantial at scales approxi- of geostrophic balance from SSH to infer the tropical dynam- mately 100 km and smaller (Savage et al., 2017). ics needs to be checked. A more technical contribution that can impact the lower Another dynamical contribution that could flatten the spectral slopes in the tropics concerns the altimetric data pro- SSH wavenumber spectra in the tropics is associated cessing, the spectral calculation, and spectral slope estima- with high-frequency processes. In altimetric SSH data, the tion. Much attention has been devoted to the effects of alti- high-frequency barotropic tides are corrected using global metric noise (Xu and Fu, 2012; Zhou et al., 2015; Biri et al., barotropic tidal models, and in the tropics away from coasts 2016) which can flatten the calculated spectral slope if the and islands, these barotropic tide corrections are quite ac- noise is not removed correctly. Different studies also use dif- curate (Stammer et al., 2014). Altimetric data are also cor- ferent tapering windows to reduce leakage of non-periodic rected for the large-scale rapid barotropic response to high- signals in limited-length data series, which can also mod- frequency atmospheric forcing (< 20 days), the so-called ify the spectral slope. In global studies, a fixed wavelength dynamical atmospheric correction, using a 2-D barotropic band from 70 to 250 km is often used for the spectral slope model forced by high-frequency winds and atmospheric calculation (Xu and Fu, 2012; Dufau et al., 2016), which is pressure (Carrere and Lyard, 2003). With only 10- to 35-day appropriate for estimating the spectral slope of the energy repeat sampling, altimetry cannot track the evolution of these cascade at midlatitudes but may not be well adapted for the rapid barotropic processes, and a correction is applied to pre- tropics where the maximum spectral slope extends to longer vent aliasing of their energy into lower frequencies. In ad- wavelengths, due to the larger Rossby radius there (Fig. 1b). dition to these large-scale barotropic corrections which are Thus, the interpretation of altimetric tropical SSH spectra, removed from the altimetric data, there exist high-frequency at spatial scales smaller than 600 km, remains a matter of de- SSH signals from internal tides and internal waves that con- bate in terms of ocean dynamics. This paper aims at filling tribute energy at small-scale (< 300 km) wavelengths. Their this gap by studying the dynamical processes contributing impact on SSH wavenumber spectra has been predicted from to the small-scale SSH spectra in the tropical Pacific using model analyses in different regions (Richman et al., 2012; modeling and observational data. Two different approaches Ocean Sci., 14, 1283–1301, 2018 www.ocean-sci.net/14/1283/2018/ M. Tchilibou et al.: Spectral signatures of the tropical Pacific dynamics from model and altimetry 1285 are proposed to better understand the contributions to the ob- 2 Models and altimetric data served altimetric flatter spectral slopes. Firstly, we wish to explore the spectral signatures in SSH and EKE of the trop- 2.1 Models ical Pacific mesoscale dynamics (with periods greater than 10 days and wavelengths down to 25 km) and we will con- To study mesoscale and submesoscale activity from an centrate particularly on the tropical “mesoscale” band that oceanic general circulation model (OGCM), the model has varies with latitude. For this, we analyze the global 1=12◦ to properly resolve the corresponding dynamical scales (i.e., DRAKKAR model in the tropical Pacific from 20◦ S to be eddy resolving). The effective resolution for numerical 20◦ N, using 5-day outputs covering the period 1987–2001. models is that six to eight grid points are needed to properly In comparison to the altimetric analyses of Xu and Fu (2012) resolve dynamical features (Soufflet et al., 2016). In midlat- or Dufau et al. (2016), this model was specifically chosen to itudes, numerical convergence requires ∼kilometer horizon- have no high-frequency response to tides, internal waves or tal resolution; however, in the tropics, because of the larger rapid tropical waves, and is not limited at low wavelengths Ld due the weaker Coriolis force, numerical convergence is by the altimetric instrument noise but rather by the horizon- obtained from 1=12◦ horizontal resolution, and the increase tal grid resolution.

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    19 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us