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View article: What can satellite surface velocity observations bring in the Mercator system that altimetry observations cannot?
What can satellite surface velocity observations bring in the Mercator system that altimetry observations cannot? Open
View article: The impact of simulated total surface current velocity observations on operational ocean forecasting and requirements for future satellite missions
The impact of simulated total surface current velocity observations on operational ocean forecasting and requirements for future satellite missions Open
Operational forecasts rely on accurate and timely observations and it is important that the ocean forecasting community demonstrates the impact of those observations to the observing community and its funders while providing feedback on re…
View article: Impact of assimilating satellite surface velocity observations in the Mercator Ocean International analysis and forecasting global 1/4° system
Impact of assimilating satellite surface velocity observations in the Mercator Ocean International analysis and forecasting global 1/4° system Open
Representing and forecasting global ocean velocities is challenging. Velocity observations are scarce and sparse, and are rarely assimilated in a global ocean configuration. Recently, different satellite mission candidates have been propos…
View article: ASSIMILATION OF SATELLITE TOTAL SURFACE CURRENT VELOCITIES IN GLOBAL OCEAN FORECASTING SYSTEMS
ASSIMILATION OF SATELLITE TOTAL SURFACE CURRENT VELOCITIES IN GLOBAL OCEAN FORECASTING SYSTEMS Open
International audience
View article: Smurf: System for Modelling with Uncertainty Reduction, and Forecasting
Smurf: System for Modelling with Uncertainty Reduction, and Forecasting Open
Smurf is an open source modular system developed in Python for running and cycling data assimilation (DA) systems. It is organised around three super classes for numerical model management, assimilation schemes and observation instruments.…
View article: The impact of observation densification in an ensemble Kalman Filter.
The impact of observation densification in an ensemble Kalman Filter. Open
International audience
View article: Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators
Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators Open
Observation operators (OOs) are a central component of any data assimilation system. As they project the state variables of a numerical model into the space of the observations, they also provide an ideal opportunity to correct for effects…
View article: Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments
Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments Open
A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in sit…
View article: Using Canonical Correlation Analysis to produce dynamically-basedhighly-efficient statistical observation operators
Using Canonical Correlation Analysis to produce dynamically-basedhighly-efficient statistical observation operators Open
Observation operators (OOs) are a central component of any data assimilation system. As they project the state variables of a numerical model into the space of the observations, they also provide an ideal opportunity to correct for effects…
View article: Assimilation of SST data in the POSEIDON system using the SOSSTA statistical-dynamical observation operator
Assimilation of SST data in the POSEIDON system using the SOSSTA statistical-dynamical observation operator Open
In spite of their long-standing availability, the optimal assimilation of sea surface temperature (SST) observations retrieved from infrared and microwave space-borne sensors is still challenging in oceanographic forecast systems. One prom…
View article: Generating atmospheric forcing perturbations for an ocean data assimilation ensemble
Generating atmospheric forcing perturbations for an ocean data assimilation ensemble Open
Running ensemble of reanalyses or forecasts has proved successful at improving their performances, despite the cost. Generating ensemble simulations requires generating perturbations within the models, and for the assimilated observations …
View article: Modeling the Near‐Surface Diurnal Cycle of Sea Surface Temperature in the Mediterranean Sea
Modeling the Near‐Surface Diurnal Cycle of Sea Surface Temperature in the Mediterranean Sea Open
The diurnal cycle of sea surface temperature (SST) is an important component of the ocean‐atmosphere system and is necessary for accurately computing air‐sea heat fluxes. Ocean temperatures in the near‐surface are highly sensitive to atmos…
View article: A multiple length scale correlation operator for ocean data assimilation
A multiple length scale correlation operator for ocean data assimilation Open
Ocean data assimilation systems can take into account time and space scale variations by representing background error covariance functions with more complex shapes than the classical Gaussian function. In particular, the construction of t…
View article: Toward an improved design of the in-situ observing system for ocean reanalysis, analysis and forecasting: design of experiments
Toward an improved design of the in-situ observing system for ocean reanalysis, analysis and forecasting: design of experiments Open