An ERA40-based atmospheric forcing for global ocean circulation models

Brodeau, Laurent; Barnier, Bernard; Tréguier, Anne‐Marie; Penduff, Thierry; Gulev, Sergei K.

doi:10.1016/j.ocemod.2009.10.005

Cited by 378 publications

(300 citation statements)

References 39 publications

(48 reference statements)

Supporting

Mentioning

293

Contrasting

Order By: Relevance

“…Drakkar is based on the NEMO 3.0 ocean general circulation model with observational surface boundary conditions based on ERA40 reanalysis, as detailed in (Brodeau et al 2010). Details on the simulation and model validation results for the equatorial Pacific can be found in Lengaigne et al (2012).…”

Section: Observational Datamentioning

confidence: 99%

Strong and moderate nonlinear El Niño regimes

2015

View full text Add to dashboard Cite

nonlinearity could make the EN regimes very sensitive to stochastic forcing. Observations and model agree that the westerly wind stress anomaly in the central equatorial Pacific in late boreal summer has a substantial role determining the EN regime in the following winter and it is suggested that a stochastic component at this time was key for the development of the strong EN towards the end of 1982.

show abstract

Section: Observational Datamentioning

confidence: 99%

Strong and moderate nonlinear El Niño regimes

2015

View full text Add to dashboard Cite

show abstract

“…For physical boundary conditions, all simulations are forced with the same DRAKKAR Forcing Set (DFS) constructed by Brodeau et al (2010). This historical reanalysis data set provides surface air temperature and humidity at 2 m, wind fields at A 50-year spin up was first made from rest in the ORCA05 NEMO-PISCES model (coupled circulation-biogeochemistry), after initializing the model variables with the above-mentioned fields.…”

Section: Biogeochemical Simulationsmentioning

confidence: 99%

Model constraints on the anthropogenic carbon budget of the Arctic Ocean

Terhaar¹,

Orr²,

Gehlen³

et al. 2018

Preprint

View full text Add to dashboard Cite

Abstract. The Arctic Ocean is projected to experience not only amplified climate change but also amplified ocean acidification.Modeling future acidification depends on our ability to simulate baseline conditions and changes over the industrial era. range from a previous data-based C ant storage estimate (2.5 to 3.3 Pg C). Yet those limits may each need to be reduced by 10 about 10% because data-based C ant concentrations in deep waters remain at ∼6 µmol kg −1 , while they should be almost negligible by analogy to the near-zero observed CFC-12 concentrations from which they are calculated. Across the three resolutions, there was roughly three times as much anthropogenic carbon that entered the Arctic Ocean through lateral transport than via the flux of CO 2 across the air-sea interface. Wider comparison to nine earth system models that participated in the Coupled Model Intercomparison Project Phase 5 (CMIP5) reveals much larger diversity of stored anthropogenic carbon and 15 lateral transport. Only the CMIP5 models with higher lateral transport obtain C ant inventories that are close to the data-based estimates. Increasing resolution also enhances acidification, e.g., with greater shoaling of the Arctic's average depth of the aragonite saturation horizon during 1960-2012, from 50 m in ORCA2 to 210 m in ORCA025. To assess the potential to further refine modeled estimates of the Arctic Ocean's C ant storage and acidification, sensitivity tests that adjust model parameters are needed given that century-scale global ocean biogeochemical simulations still cannot be run routinely at high resolution.

show abstract

“…PISCES biogeochemical tracers are also initialized from the WOA13 database for nutrients and from the climatology of a global simulation for the other tracers (Aumont and Bopp, 2006). After 5 years of spin-up with a climatological forcing, the model is forced with the Drakkar Forcing Set #4.4 (DFS4.4; Brodeau et al, 2010) from 1980 to 2012. This forcing is a modified version of the CORE dataset (Large and Yeager, 2004), with atmospheric parameters derived from ERA-40 reanalysis (Uppala et al, 2005) and ECMWF analysis after 2002 for latent and sensible heat flux computation.…”

Section: G Keerthi Et Al: Physical Control Of the Arabian Sea Wimentioning

confidence: 99%

Physical control of interannual variations of the winter chlorophyll bloom in the northern Arabian Sea

et al. 2017

View full text Add to dashboard Cite

Abstract. The northern Arabian Sea hosts a winter chlorophyll bloom, triggered by convective overturning in response to cold and dry northeasterly monsoon winds. Previous studies of interannual variations of this bloom only relied on a couple of years of data and reached no consensus on the associated processes. The current study aims at identifying these processes using both ∼ 10 years of observations (including remotely sensed chlorophyll data and physical parameters derived from Argo data) and a 20-year-long coupled biophysical ocean model simulation. Despite discrepancies in the estimated bloom amplitude, the six different remotely sensed chlorophyll products analysed in this study display a good phase agreement at seasonal and interannual timescales. The model and observations both indicate that the interannual winter bloom fluctuations are strongly tied to interannual mixed layer depth anomalies (∼ 0.6 to 0.7 correlation), which are themselves controlled by the net heat flux at the air-sea interface. Our modelling results suggest that the mixed layer depth control of the bloom amplitude ensues from the modulation of nutrient entrainment into the euphotic layer. In contrast, the model and observations both display insignificant correlations between the bloom amplitude and thermocline depth, which precludes a control of the bloom amplitude by daily dilution down to the thermocline depth, as suggested in a previous study.

show abstract

An ERA40-based atmospheric forcing for global ocean circulation models

Cited by 378 publications

References 39 publications

Strong and moderate nonlinear El Niño regimes

Strong and moderate nonlinear El Niño regimes

Model constraints on the anthropogenic carbon budget of the Arctic Ocean

Physical control of interannual variations of the winter chlorophyll bloom in the northern Arabian Sea

Contact Info

Product

Resources

About