Long term simulations results of the dynamics of the Gulf of Mexico using the 2.5 inhomogeneous layered model. The model does not include topography and the domain is restricted to the deep ocean region, with the 200 m depth contour as the lateral boundary. The model has three layers: an active upper layer representing the mixed layer through the coupling of a Niiler-Kraus mixed layer model, an active intermediate layer, and an infinite depth motionless deep layer. Two sets of numerical experiments were performed: one with fixed transport through the Yucatan Channel and variable stratification, and other with fixed stratification and variable transport. The first experiment considered eight upper layer thicknesses (30 m, 40 m, 50 m, 60 m, 70 m, 80 m, 90 m, and 100 m). The second experiment considered four transports (0.8Υref, 1.0Υref, 1.2Υref, and 1.4Υref, with Υref = 7.3 Sv). Each variable is represented with the following atributes: Initial west longitude: 99.25 Initial north latitude: 17.5 Spatial resolution: longitudinal grid-size of 1/12° latitudinal grid-size of 1/12° Spatial dimension: 160 latitude grid points 230 longitude grid points Time-step: 10 days Temporal dimension: 730 time steps Non physical values: 9999 or -9999

File Variable Units
h1tit4.5B Thickness of the upper layer meters
u1tit4.5B Product of the zonal velocity component and thickness of the upper layer squared meters over second
v1tit4.5B Product of the meridional velocity component and thickness of the upper layer squared meters over second
h2tit4.5B Thickness of the intermediate layer meters
u2tit4.5B Product of the zonal velocity component and thickness of the intermediate layer squared meters over second
v2tit4.5B Product of the meridional velocity component and thickness of the intermediate layer squared meters over second

Collections in this community

  • Experiments

    Case studies for a fixed upper layer thickness and variable Yucatan Current transport
  • Old results

    The second experiment considered four transports (0.8Υref, 1.0Υref, 1.2Υref, and 1.4Υref, with Υref = 7.3 Sv)

Recent Submissions

  • Transport through the Yucatan Channel = 0.8Yref 

    ICML:LOFCS:MN.2018.d43 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • Transport through the Yucatan Channel = 1.0Yref 

    ICML:LOFCS:MN.2018.d44 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • Transport through the Yucatan Channel = 1.4Yref 

    ICML:LOFCS:MN.2018.d46 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • Transport through the Yucatan Channel = 1.2Yref 

    ICML:LOFCS:MN.2018.d45 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 0.96 

    ICML:LOFCS:MN.2018.c507 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 0.85 

    ICML:LOFCS:MN.2018.c506 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 0.91 

    ICML:LOFCS:MN.2018.c504 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 1.13 

    ICML:LOFCS:MN.2018.c510 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 0.88 

    ICML:LOFCS:MN.2018.c505 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 1.00 

    ICML:LOFCS:MN.2018.c508 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)
  • H1/H1(ref) = 1.06 

    ICML:LOFCS:MN.2018.c509 Efrain Moreles (Unidad de Informática Marina del Instituto de Ciencias del Mar y Limnología, UNAM (UNINMAR), 2019-08-04)