Assimilation of ocean colour data to constrain the state and parameters of marine biogeochemical models.

Marine biogeochemical models are run as part of Earth system and climate models, to assess the contribution of marine biology to the carbon cycle, and the response of marine ecosystems to a changing climate. Physical-biogeochemical ocean models are also used to provide short-range forecasts and reanalyses of the ocean state. This provides the opportunity to use observations to constrain the models through data assimilation (DA), with satellite ocean colour providing daily global observations of the concentration of chlorophyll, an index of marine phytoplankton biomass, in the surface ocean.

This project will develop a computationally efficient DA scheme suitable for implementation in operational forecasting or reanalysis, whilst making fullest use of the empirical information from the observations combined with knowledge of model processes. It promises an effective platform to interface the advanced satellite algorithms, and state-of-the-art ocean biogeochemical models, through DA, which may greatly improve reanalyses and forecasts of marine biogeochemistry, and contribute to our understanding of modelling marine ecosystems and the Earth’s climate system.

More information at: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=83496&LID=1344

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s