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BIOMER1/4-V1 and BIOMER1/4-V2 (week average, from 04/01/15 to 04/07/15),
GLOBCOLOUR 2014 and CLIM WOA 2005 (April average). Up to the bottom:
Chlorophyll, Nitrate, Phosphate, Silicate, and Iron surface concentration
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BIOMER1/4-V1 and BIOMER1/4-V2 (week average, from 04/01/15 to 04/07/15), GLOBCOLOUR 2014 and
CLIM WOA 2005 (April average) of vertical longitudinal of nutrients along the Pacific Ocean (100° W)
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Integration of Biogeochemistry into the MERCATOR OCEAN
global eddy resolving and forecasting system PSY4
F. Nivert, A. El Moussaoui, C. Perruche, C. Bricaud and J. Paul
This work reports few results of some compartments designed to improve the
future Mercator Ocean global biogeochemical forecasting system forced by PSY4 physics.
A particular focus is first placed on the degradation tool which must conserve the mesoscale
physical properties produced by PSY4 in order to improve their impact on the
biogeochemical fields.
At the beginning, a resolution of 1° was applied (BIOMER1, El Moussaoui et al. 2011).
Then we increased the resolution of BIOMER to 1/4° using PSY3 1/4° physical forcing. We
now plan to use a new physical forcing: PSY4 (1/12°) degraded to 1/4°. We needed to
degrade the PSY4 physics because PISCES is currently running on 1/4° due to computer
limits. In this context we have been performing two experiences to analyze the impact of the
physical forcing on the biogeochemical model. Both experiences started from the same
initial state and were carried out with PISCES forced by PSY3 (BIOMER1/4-V1) and by
PSY4 Degraded (BIOMER1/4-V2).
PISCES is a biogeochemical model
simulating the marine biological
productivity and describing the
biogeochemical cycles of carbon and of the
main nutrients (P, N, Si, Fe). It has currently
24 compartments with 5 modelled limiting
nutrients (Nitrate, Ammonium, Phosphate,
Silicate and Iron). In addition to the
ecosystem model, PISCES also simulates 2
phytoplankton growths, 2 zooplanktons, 3
non-living compartments, carbon, and
oxygen cycles.
We first constructed degraded physics from PSY4. Active Tracers are
averaged onto “squares” of three boxes longitudinally by three boxes
latitudinally. We calculate degraded velocity fields by conserving the
fluxes at the boundaries. Fluxes at the boundaries (velocity and thus
tracer fluxes) and tracers quantities are conserved (Levy et al, 2012).
We can observe that the degradation is efficient and conserves the main
structures. We also observe that PSY3 and PSY4 physics are different,
particularly for the vertical velocity which could affect the
biogeochemical model.
Day average (04/01/15) of vertical longitudinal of salinity (psu) in the Atlantic Ocean along the 26° W
and vertical longitudinal of vertical velocity (m.day-1) in the Pacific Ocean along the 168.8° W.
Representation of the physical and biogeochemical
parameters of an area in the North-eastern part of
the Atlantic Ocean (55°N to 60°N; 27°W to 30°W) for
PSY3, PSY4 deg, BIOMER1/4-V1 and BIOMER1/4-
V2 from November 2014 to May 2015.
On the Equatorial band we observe that the BIOMER1/4-V2 simulation is largely closer to observations and CLIM simulation than BIOMER1/4-V1 for chlorophyll and nutrients. It’s even more obvious
for the silicate surface concentration. The oligotrophic subtropical gyres are better reproduced in BIOMER1/4-V2 than in BIOMER1/4-V1.
At the Equator and in the Austral Ocean, BIOMER1/4-V2 is closer to observations than BIOMER1/4-V1. The physical forcing (Lellouche et al, 2013) is more realistic in the BIOMER1/4-V2 simulation.
In the North Atlantic area, the physical parameters of PSY3 and PSY4 deg are close, even if PSY4 deg provides a deeper mixed layer than PSY3. At regional scale, nutrients and chlorophyll surface
concentration are higher in BIOMER1/4-V2 than BIOMER1/4-V1, especially during the bloom period. BIOMER1/4-V2 is also closer to observations. We usually observe a bloom in March (Mercator
Ocean QUID, 2014), but here, we observe it at the end of February. The increase of the chlorophyll surface concentration during the last weeks of April may refer to the observed high temperature along
the same period.
PISCES: an advanced Biogeochemical model
Degradation approach
Conclusion
BIOMER1/4-V1 GLOBCOLOUR BIOMER1/4-V2 Nitrate Phosphate Silicate Iron
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Contact: [email protected]
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PSY4 (1/12°) PSY4 deg (1/4°) PSY3 (1/4°)
CLIM WOA 2005
Introduction
BIOMER1/4-V1 BIOMER1/4-V2
PISCES model (Aumont et al, 2006)
Results
Aumont O and Bopp L, 2006, Globalizing results from ocean in situ iron fertilization studies, Global Biogeochemical Cycles, Vol. 20
El Moussaoui A et al. 2011, Integration of biogeochemistry into Mercator Ocean systems. Mercator Ocean newsletter 40:3
Levy et al. 2012, Grid degradation of submesoscale resolving ocean models: Benefits for offline passive tracer transport
Lellouche et al. 2013, Evaluation of global monitoring and forecasting systems at Mercator Ocean, Ocean Sci., 9, 57-81
Mercator Ocean QUID, 2014, Quality Information Document – Global Analysis Forecast BIO 001_014