Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea

Kaufman, Daniel E.; Friedrichs, Marjorie A. M.; Hemmings, John C. P.; Smith Jr., Walker O.

doi:https://doi.org/10.5194/bg-15-73-2018

Articles | Volume 15, issue 1

https://doi.org/10.5194/bg-15-73-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-15-73-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 1

Research article

|

04 Jan 2018

Research article |

| 04 Jan 2018

Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea

Daniel E. Kaufman, Marjorie A. M. Friedrichs, John C. P. Hemmings, and Walker O. Smith Jr.

Data sets

Associated Dataset: Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. E. Kaufman, M. A. M. Friedrichs, J. C. P. Hemmings, and W. O. Smith https://doi.org/10.21220/V5RT5C

Glider data from the southern Ross Sea collected from the iRobot Seaglider during the RVIB Nathaniel B. Palmer (AUV-SG-503-2012, NBP1210) cruises in 2012 (Penguin Glider project) W. O. Smith Jr. http://lod.bco-dmo.org/id/dataset/568868

Short summary

Computer simulations of the highly variable phytoplankton in the Ross Sea demonstrated how incorporating data from different sources (satellite, ship, or glider) results in different system interpretations. For example, simulations assimilating satellite-based data produced lower carbon export estimates. Combining observations with models in this remote, harsh, and biologically variable environment should include consideration of the potential impacts of data frequency, duration, and coverage.