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ECCO2-MITgm vs Observations


lat-lon grid 1/8 global simulations (lle.nb.01)

North Atlantic

Here are some comparisons between the outputs from the ECCO2-MITgcm ll2.nb.01 simulation (lat-lon 1/8 global) and observations from Levitus 94 and the SST from AMSR-E satellite data. We focus on the temperature and salinity fields.

MODEL: monthly climatology from Jun./2002 to Mar./2005 of THETA (monthly averaged available here)
DATA: monthly climatology of SST from the TMI + AMSR-E OI product (limited to Jun./2002 to Mar./2005)
DATA2: monthly climatology of Levitus 94 (THETA)

  • Surface THETA, yearly mean
  • lle.nb.01 vs Levitus 94 (North Atlantic, yearly mean)
    MODEL vs Levitus94
    lle.nb.01 vs AMSR-E (North Atlantic, yearly mean)
    MODEL vs AMSR-E
    lle.nb.01 surface theta (North Atlantic, yearly mean)
    MODEL
    Levitus94 (Surface THETA yearly mean)
    Levitus94
    CUBE49 (Surface THETA yearly mean)
    AMSR-E
  • Surface THETA, Jan-Feb-Mar mean
  • lle.nb.01 vs Levitus 94 (surface theta, North Atlantic, JFM mean)
    MODEL vs Levitus94
    lle.nb.01 vs AMSR-E (surface theta, North Atlantic, JFM mean)
    MODEL vs AMSR-E
    lle.nb.01 surface theta (North Atlantic, JFM mean)
    MODEL
    Levitus94 (Surface THETA, JFM mean)
    Levitus94
    AMSR-I (Surface THETA, JFM mean)
    AMSR-E
  • Monthly surface fraction of each outcrops over the North Atlantic Ocean (%)
    FULLyear_detailed_diff_mod_dat_p4.jpg
  • Model (lle.nb.01) vs Levitus94, THETA, meridional sections, Jan-Feb-Mar mean:
    JanuaryFebruaryMarch_diff_ECCO2_LEVITUS_ALLsections.jpg
    Over the bassin
    290E:10:340E
    JanuaryFebruaryMarch_ECCO2_LEVITUS_ALLsections_v2.jpg
    focus on 300E
    (model: red, data: black dashed)

Global

  • Monthly climatology
  • SST difference ECCO2-MITgcm ll2.nb.01 and Levitus 94 of monthly climatology
    Surface THETA
    monthly climatology
    lle.nb.01 vs Levitus94
    SSS difference ECCO2-MITgcm ll2.nb.01 and Levitus 94 of monthly climatology
    Surface salinity
    monthly climatology
    lle.nb.01 vs Levitus94
    Seasonal cycle of the ECCO2-MITgcm simulation ll2.nb.01Dec->May
    SST seasonal cycle from
    MODEL (left) and Levitus94 (right)
    (monthly clim. minus year mean)
    SSS seasonal cycle of the ECCO2-MITgcm simulation ll2.nb.01Dec->May
    SSS seasonal cycle from
    MODEL (left) and Levitus94 (right)
    (monthly clim. minus year mean)
    Seasonal cycle of the ECCO2-MITgcm simulation ll2.nb.01Jun->Nov
    SST seasonal cycle from
    MODEL (left) and Levitus94 (right)
    (monthly clim. minus year mean)
    SSS seasonal cycle of the ECCO2-MITgcm simulation ll2.nb.01Jun->Nov
    SSS seasonal cycle from
    MODEL (left) and Levitus94 (right)
    (monthly clim. minus year mean)

cube-sphere grid 510 global simulations (cube49)

North atlantic

  • Monthly volume time series
  • - Here is a list of plots showing volume time series of each potential temperature classes. Fields analysed are monthly means and the domain goes from:
    longitude: [276.0625 359.9375]
    latitude: [12.0975 53.2011]
    depth: [5 1.0072e+03]

    RQ: The volume corresponds to the amount of water having a temperature between T-0.5 and T+0.5.

    THETA class (deg. C) = [-2; -1; 0; 1; 2; 3; 4; 5; 6; 7; 8; 9; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40]

    - Heat content of the domain: H(t) = sum_T: V(T,t)*RHO(T,S=35)*Cp*T

    Heat content lle.nb.01 north atlantic

RQ: To avoid systematic errors due to grid and fields resolutions, we only plot the fraction of the domain volume for each THETA class

    THETA class (deg. C) = [-2;-1;0; 1; 2; 3; 4; 5; 6; 7; 8; 9; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40] - Heat content of the domain: H(t) = sum_T: V(T,t)*RHO(T,S=35)*Cp*T
      RQ: The red line is the rough computation of the H for the iter199 solution. But differences in grid resolution (1 vs 1/4) makes the total volume in iter199 bigger than in cube49. So the magenta line is the iter199 solution with a rectified total volume to match the cube49 one.

    Last, an average temperature difference between years [n-1:n] and [1:2] is computed as: dT = dH / Cp / Vtot / RHO_0

    Heat content lle.nb.01 north atlantic and iter199 adjoin model
  • Surface THETA, yearly mean
  • CUBE49 vs RMSS (North Atlantic, yearly mean)
    CUBE49 vs AMSR-I
    CUBE49 vs Levitus 94 (North Atlantic, yearly mean)
    CUBE49 vs Levitus94
    CUBE49 (Surface THETA yearly mean)
    CUBE49
    Levitus94 (Surface THETA yearly mean)
    Levitus94
    AMSR-I (Surface THETA yearly mean)
    AMSR-I
  • Surface THETA, Jan-Feb-Mar
  • CUBE49 vs RMSS (North Atlantic, DJF)
    CUBE49 vs AMSR-I
    CUBE49 vs Levitus 94 (North Atlantic, DJF)
    CUBE49 vs Levitus94
    CUBE49 (Surface THETA, JFM mean)
    CUBE49
    Levitus94 (Surface THETA, JFM mean)
    Levitus94
    AMSR-I (Surface THETA, JFM mean)
    AMSR-I

cube-sphere grid 510 global simulations (cube54)

North atlantic

  • Monthly volume time series
  • - Here is a list of plots showing volume time series of each potential temperature classes. Fields analysed are monthly means and the domain goes from:
    longitude: [276.0625 359.9375]
    latitude: [12.0975 53.2011]
    depth: [5 1.0072e+03]

    RQ: The volume corresponds to the amount of water having a temperature between T-0.5 and T+0.5.

    THETA class (deg. C) = [-2; -1; 0; 1; 2; 3; 4; 5; 6; 7; 8; 9; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27; 28; 29; 30; 31; 32; 33; 34; 35; 36; 37; 38; 39; 40]

    - Heat content of the domain: H(t) = sum_T: V(T,t)*RHO(T,S=35)*Cp*T

    Heat content NA, cube54

    And here is a detailed view of the both Volume and Heat content:

    Heat content NA, cube54, detailedVolume detailed cube54

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