State estimation in an ocean-biogeochemical model by assimilation of satellite ocean chlorophyll data

Nerger, Lars

and Gregg, W. W. ;

Contact

Lars.Nerger [ at ] awi.de

Abstract

Chlorophyll data from the Sea-viewing Wide Field-of-view Sensor(SeaWiFS) is assimilated into the three-dimensional global NASA OceanBiogeochemical Model (NOBM) for the period 1998-2004. The assimilationis performed by a multivariate configuration of the SEIK filter whichis an ensemble-based Kalman filter scheme. The filter is simplified bythe use of a static error covariance matrix. It operates with alocalized analysis and is amended by an online bias correction scheme.The multivariate assimilation is applied to update the fourphytoplankton groups of the model as well as the simulated nutrientfields. The chlorophyll estimates of the model can be improved by theassimilation such that they outperform the assimilated SeaWiFS data.However, the results are less clear for the nutrients where the biasestimation is required for stability but reduces the assimilationimprovements.

Item Type

Conference (Poster)

Authors

Nerger, Lars

and Gregg, W. W. ;

Divisions

Non-AWI items

Programs

Basic Research > Helmholtz Independent Research

Publication Status

Published

Event Details

Workshop ``Data Assimilation in Support of Coastal Ocean Observing Systems'', Oregon State University, Corvallis, OR, April 3--5.

Eprint ID

16648

Cite as

Nerger, L. and Gregg, W. W. (2007): State estimation in an ocean-biogeochemical model by assimilation of satellite ocean chlorophyll data , Workshop ``Data Assimilation in Support of Coastal Ocean Observing Systems'', Oregon State University, Corvallis, OR, April 3--5 .

Research Platforms

N/A

Campaigns

N/A

Actions

Edit Item