Virginia Institute of Marine Science
These are model input/output files and data associated with the southern Ross Sea, Antarctica and presented in the associated publication. A compressed ZIP file (bg_medusars _archive.zip) is provided, which can be decompressed and opened with common software on unix/windows/mac (such as unzip, gzip, winzip, unarchiver, etc.). Along with input/output and data files, this README contains further file descriptions. The contained files are in simple text, space-delimited, and comma-separated formats. File contents are in formats compatible with the Marine Model Optimization Testbed (MarMOT), an advanced open-source 1D model analysis framework. For information about MarMOT, its source code and input/output, please see http://projects.noc.ac.uk/marmot/. For code relating to the Ross Sea version of the Model of Ecosystem Dynamics, nutrient Utilisation, Sequestration and Acidification (MEDUSA-RS) please contact the authors (firstname.lastname@example.org, email@example.com).
Data Assimilation; Ross Sea; Biogeochemical model; Phytoplankton; Phaeocystis antarctica; Glider
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Kaufman, D.E., Friedrichs, M.A.M., Hemmings, J.C.P., Smith, W.O. (2017). Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea. Biogeosciences Discussion, In Review. https://doi.org/10.5194/bg-2017-258.
This material is based upon work supported by the U.S. National Science Foundation’s Office of Polar Programs (NSF-ANT-0838980). This work was performed (in part) using computational facilities at the College of William and Mary which were provided by contributions from the National Science Foundation, the Commonwealth of Virginia Equipment Trust Fund and the Office of Naval Research.
Kaufman, Daniel E.; Friedrichs, Marjorie A.M.; Hemmings, John C.P.; and Smith, Walker O., "Associated Dataset: Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea" (2017). Data. 44.