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
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)
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
Monthly volume time series: CUBE49 vs ECCO-GODDAE
- Comparison with the ECCO-GODAE solution: Adjoint 1x1 grid iteration 199 (real month averages, allow freezing of water at surface)
Legend: blue: the cube49, red: iter199
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
CUBE49 vs Levitus94, Meridional sections, JFM mean. (compair with lat-lon 1/8 run here)
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: