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Project Description

Synthesis and Modeling Project Results

The Role of Ecosystem Dynamics on the Global Ocean Carbon Cycle: A JGOFS Model-Data Synthesis

Investigators: Scott Doney and J. Keith Moore

Funded by: U.S. National Science Foundation (NSF)
Product Global 3-D upper ocean ecosystem dynamics and iron cycling model results (Keith Moore and Scott Doney)
Description

These files are from year 24 from a simulation initialized with climatological nutrients and a best guess for iron initial conditions as described in Moore et al (2004). Relevant parameter values and physical forcing can also be found in this reference. Please cite Moore et al (2004) for any use of this data and also please let him know about your research (or any questions) by sending an email to jkmoore@uci.edu.

Model results reported as twelve monthly files (NetCDF files):

January   (header) May   (header) September   (header)
February   (header) June   (header) October   (header)
March   (header) July   (header) November   (header)
April   (header) August   (header) December   (header)

Scalar variables in this simulation include:

Variable Name Variable description/definition
PO4dissolved inorganic phosphate
NO3dissolved inorganic nitrate
SiO3dissolved inorganic silicate
NH4dissolved ammonia
Fedissolved inorganic iron
O2dissolved oxygen
DICdissolved inorganic carbon
ALKalkalinity
DOCdissolved organic carbon
spCsmall phytoplankton carbon
spChlsmall phytoplankton chlorophyll
spCaCO3small phytoplankton caco3
diatCdiatom carbon
diatChldiatom chlorophyll
zooCzooplankton carbon
spFesmall phytoplankton iron
diatSidiatom silicon
diatFediatom iron
diazCdiazotroph carbon
diazChldiazotroph Chlorophyll
diazFediazotroph iron
DONdissolved organic nitrogen
DOFedissolved organic iron
DOPdissolved organic phosphorus
TEMPtemperature
SALT salinity

Fluxes between compartments are included in the results, as are various other diagnostic fields. IMPORTANT NOTE: Air-sea gas exchange is computed, but this data should not be used as virtual fluxes were not correctly accounted for in this simulation. Diagnostics indicated by a _lim suffix indicate the computed growth limitation based on the ambient available quantity (value 0-1) (e.g. sp_N_lim is the nitrogen limitation factor for small phytoplankton). The maximum growth rates are multiplied by the appropriate minimum nutrient limitation factor and by the light limitation factor to compute actual growth rates.

Contributed March 2005
References

Please cite this paper for any use of this data:

Moore, J. K., S. C. Doney, and K. Lindsay. 2004. Upper ocean ecosystem dynamics and iron cycling in a global three-dimensional model, Global Biogeochem. Cycles, 18, GB4028, doi:10.1029/2004GB002220.

Other key references from the development of this model include:

Doney, S.C., Lindsay, K., Moore, J.K. 2003. Global Ocean Carbon Cycle Modeling, In: Ocean Biogeochemistry: The Role of the Ocean Carbon Cycle in Global Change, Ed. M. Fasham, Springer-Verlag, Berlin, p. 217-238.

Moore, J.K., Doney, S.C.,Kleypas, J.C., Glover,D.M., Fung, I.Y. 2002. An intermediate complexity marine ecosystem model for the global domain, Deep-Sea Res. II, 49: 403-462.

Moore, J.K., Doney, S.C., Glover, D.M., Fung, I.Y. 2002. Iron cycling and nutrient limitation patterns in surface waters of the world ocean, Deep-Sea Res. II, 49: 463-508.

Doney, S.C., Glover, D.M., Najjar, R.G. 1996. A new coupled, one-dimensional biological-physical model of the upper ocean: Applications to the JGOFS Bermuda Atlantic Time Series (BATS). Deep Sea Res. II, 43: 591-624.

Contact J. Keith Moore
Earth System Science
University of California,Irvine
3214 Croul Hall
Irvine, CA 92697-3100
tel: 949-824-5391
email: jkmoore@uci.edu
http://www.ess.uci.edu/~jkmoore/