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

MODEL vs Levitus94 |

MODEL vs AMSR-E |

MODEL |

Levitus94 |

AMSR-E |
- Surface THETA, Jan-Feb-Mar mean

MODEL vs Levitus94 |

MODEL vs AMSR-E |

MODEL |

Levitus94 |

AMSR-E |
- Monthly surface fraction of each outcrops over the North Atlantic Ocean (%)

- Model (lle.nb.01) vs Levitus94, THETA, meridional sections, Jan-Feb-Mar mean:

Over the bassin
290E:10:340E |

focus on 300E
(model: red, data: black dashed) |
Global
- Monthly climatology

Surface THETA
monthly climatology
lle.nb.01 vs Levitus94 |

Surface salinity
monthly climatology
lle.nb.01 vs Levitus94 |
Dec->May
SST seasonal cycle from
MODEL (left) and Levitus94 (right)
(monthly clim. minus year mean) |
Dec->May
SSS seasonal cycle from
MODEL (left) and Levitus94 (right)
(monthly clim. minus year mean) |
Jun->Nov
SST seasonal cycle from
MODEL (left) and Levitus94 (right)
(monthly clim. minus year mean) |
Jun->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

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
- Surface THETA, yearly mean
- Surface THETA, Jan-Feb-Mar
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

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