Maximizing the impact of altimetry measurements in data assimilation with a high resolution model

Zhijin Li (JPL, United States)

CoAuthors

Wang Jinbo (JPL, United States); Archer matthew (JPL, United States); Fu Lee-Lueng (JPL, United States)

Event: 2019 Ocean Surface Topography Science Team Meeting

Session: Application development for Operations

Presentation type: Type Poster

We examine the impact of assimilating multi-satellite altimetry data into a model that resolves submesoscale ocean circulation of order 10 km. To resolve submesoscales, the model must have a horizontal grid spacing of about 1 km. To maximize the impact of the satellite altimetry data on the model, we need to deal with a particular set of challenges: (1) map the model solution to altimetry measurements according to the footprint size; (2) retain the high resolution along track information and spread it across tracks; (3) deal with internal tide and gravity wave signals; and (4) incorporate multiscale dynamics. Using a multiscale three-dimensional variational data assimilation (MS-3DVAR) and forecasting system for the California Current System, we illustrate these challenges, address methodologies and formulations to deal with them, and characterize the impact that multi-satellite altimetry data has on the model representation of flows down into the submesoscale.
 

Poster show times:

Room Start Date End Date
The Gallery Tue, Oct 22 2019,16:15 Tue, Oct 22 2019,18:00
The Gallery Thu, Oct 24 2019,14:00 Thu, Oct 24 2019,15:45
Zhijin Li
JPL
United States
zhijin.li@jpl.nasa.gov