Three-dimensional global modeling studies of the transport and photochemistry over the North Atlantic Ocean

1996 ◽  
Vol 101 (D22) ◽  
pp. 29289-29304 ◽  
Author(s):  
C. S. Atherton ◽  
Sanford Sillman ◽  
J. Walton
Keyword(s):  
Atlantic Ocean ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Three Dimensional ◽  
Global Modeling ◽  
The North ◽  
Modeling Studies ◽  
The North Atlantic

scholarly journals Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic ocean

2020 ◽  
Author(s):  
Yeray Santana-Falcón ◽  
Pierre Brasseur ◽  
Jean Michel Brankart ◽  
Florent Garnier
Keyword(s):  
Atlantic Ocean ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Three Dimensional ◽  
State Variables ◽  
Sensitivity Experiment ◽  
The North ◽  
Assimilation Process ◽  
The North Atlantic ◽  
One Year

<p>Satellite-derived surface chlorophyll data are daily assimilated into a three-dimensional 24 member ensemble configuration of an online-coupled NEMO-PISCES model for the North Atlantic ocean. A one-year multivariate assimilation experiment is performed to evaluate the impacts on analyses and forecast ensembles. Our results demonstrate that the integration of data improves surface analysis and forecast chlorophyll representation in a major part of the model domain, where the assimilated simulation outperforms the probabilistic skills of a non-assimilated analogous simulation. However, improvements are dependent on the reliability of the prior free ensemble. A regional diagnosis shows that surface chlorophyll is overestimated in the northern limit of the subtropical North Atlantic, where the prior ensemble spread does not cover the observation's variability. There, the system cannot deal with corrections that alter the equilibrium between the observed and unobserved state variables producing instabilities that propagate into the forecast. To alleviate these inconsistencies, a one-month sensitivity experiment in which the assimilation process is only applied to model fluctuations is performed. Results suggest the use of this methodology may decrease the effect of corrections on the correlations between state vectors. Overall, the experiments presented here evidence the need of refining the description of model's uncertainties according to the biogeochemical characteristics of each oceanic region.</p>

scholarly journals Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic Ocean

Ocean Science ◽  
2020 ◽  
Vol 16 (5) ◽  
pp. 1297-1315
Author(s):  
Yeray Santana-Falcón ◽  
Pierre Brasseur ◽  
Jean Michel Brankart ◽  
Florent Garnier
Keyword(s):  
Atlantic Ocean ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Three Dimensional ◽  
State Variables ◽  
Sensitivity Experiment ◽  
The North ◽  
Ecosystem Studies ◽  
Interaction Scheme ◽  
The North Atlantic

Abstract. Satellite-derived surface chlorophyll data are assimilated daily into a three-dimensional 24-member ensemble configuration of an online-coupled NEMO (Nucleus for European Modeling of the Ocean)–PISCES (Pelagic Interaction Scheme of Carbon and Ecosystem Studies) model for the North Atlantic Ocean. A 1-year multivariate assimilation experiment is performed to evaluate the impacts on analyses and forecast ensembles. Our results demonstrate that the integration of data improves surface analysis and forecast chlorophyll representation in a major part of the model domain, where the assimilated simulation outperforms the probabilistic skills of a non-assimilated analogous simulation. However, improvements are dependent on the reliability of the prior free ensemble. A regional diagnosis shows that surface chlorophyll is overestimated in the northern limit of the subtropical North Atlantic, where the prior ensemble spread does not cover the observation's variability. There, the system cannot deal with corrections that alter the equilibrium between the observed and unobserved state variables producing instabilities that propagate into the forecast. To alleviate these inconsistencies, a 1-month sensitivity experiment in which the assimilation process is only applied to model fluctuations is performed. Results suggest the use of this methodology may decrease the effect of corrections on the correlations between state vectors. Overall, the experiments presented here evidence the need of refining the description of model's uncertainties according to the biogeochemical characteristics of each oceanic region.

Mapping Tectonic Deformation in the Crust and Upper Mantle Beneath Europe and the North Atlantic Ocean

Science ◽  
2013 ◽  
Vol 341 (6148) ◽  
pp. 871-875 ◽  
Author(s):  
Hejun Zhu ◽  
Jeroen Tromp
Keyword(s):  
Atlantic Ocean ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Three Dimensional ◽  
Surface Strain ◽  
Tectonic Deformation ◽  
Crust And Upper Mantle ◽  
The North ◽  
Ductile Flow ◽  
The North Atlantic

We constructed a three-dimensional azimuthally anisotropic model of Europe and the North Atlantic Ocean based on adjoint seismic tomography. Several features are well correlated with historical tectonic events in this region, such as extension along the North Atlantic Ridge, trench retreat in the Mediterranean, and counterclockwise rotation of the Anatolian Plate. Beneath northeastern Europe, the direction of the fast anisotropic axis follows trends of ancient rift systems older than 350 million years, suggesting “frozen-in” anisotropy related to the formation of the craton. Local anisotropic strength profiles identify the brittle-ductile transitions in lithospheric strength. In continental regions, these profiles also identify the lower crust, characterized by ductile flow. The observed anisotropic fabric is generally consistent with the current surface strain rate measured by geodetic surveys.

scholarly journals Assimilation of chlorophyll data into a stochastic ensemble simulation for the North Atlantic ocean

2020 ◽  
Author(s):  
Yeray Santana-Falcón ◽  
Pierre Brasseur ◽  
Jean Michel Brankart ◽  
Florent Garnier
Keyword(s):  
Atlantic Ocean ◽  
North Atlantic ◽  
North Atlantic Ocean ◽  
Three Dimensional ◽  
State Variables ◽  
Sensitivity Experiment ◽  
The North ◽  
Assimilation Process ◽  
The North Atlantic ◽  
One Year

Abstract. Satellite-derived surface chlorophyll data are daily assimilated into a three-dimensional 24 member ensemble configuration of an online-coupled NEMO-PISCES model for the North Atlantic ocean. A one-year multivariate assimilation experiment is performed to evaluate the impacts on analyses and forecast ensembles. Our results demonstrate that the integration of data improves surface analysis and forecast chlorophyll representation in a major part of the model domain, where the assimilated simulation outperforms the probabilistic skills of a non-assimilated analogous simulation. However, improvements are dependent on the reliability of the prior free ensemble. A regional diagnosis shows that surface chlorophyll is overestimated in the northern limit of the subtropical North Atlantic, where the prior ensemble spread does not cover the observation's variability. There, the system cannot deal with corrections that alter the equilibrium between the observed and unobserved state variables producing instabilities that propagate into the forecast. To alleviate these inconsistencies, a one-month sensitivity experiment in which the assimilation process is only applied to model fluctuations is performed. Results suggest the use of this methodology may decrease the effect of corrections on the correlations between state vectors. Overall, the experiments presented here evidence the need of refining the description of model's uncertainties according to the biogeochemical characteristics of each oceanic region.

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