File(s) | Type | Description | Action |
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model_actin.csv (11.75 KB) | Comma Separated Values (.csv) | Primary data file for dataset ID 2884 | Add to Cart Download |
SOIREE Modeling - Act in
Activities (biogenic elements fluxes) time series (inside the patch)
SOIREE Modeling
Updated October 2000
Authors: E. Hannon, C. Lancelot, P.W. Boyd
Contact: Prof. C. Lancelot (ESA-ULB, CP221, Campus Plaine, Bd du Triomphe, B-1050 Brussels, Belgium, lancelot@ulb.ac.be)
Note: these model runs were performed with the SWAMCO model.
See details relative to model concepts, parameterization and adaptation to SOIREE in:
Lancelot, C., E. Hannon, S. Becquevort, C. Veth, and H. J. W. de Baar. 2000.
Modelling phytoplankton blooms and related carbon export production in the Southern Ocean:
application to the Atlantic sector in Austral spring 1992. Deep-Sea Res., Part I, 47, 1621-1662.
Hannon, E., P. W. Boyd, M. Silvoso and C. Lancelot. (this issue). Modeling the bloom evolution
and carbon flows during SOIREE: Implications for future in situ iron-enrichments in the Southern Ocean.
Deep-Sea Res. II.
Model results are compiled in the file "SOIREEmodel.xls"
This file includes 7 sheets:
Var.out: state variables time series (outside the patch)
Var.in: state variables time series (inside the patch)
Act.out: activities (biogenic elements fluxes) time series (outside the patch)
Act.in: activities (biogenic elements fluxes) time series (inside the patch)
BudgetC: integrated carbon budget
pCO2: surface pCO2 time series
Forcing: hydro-meteorological forcings
Comments:
Sheet 1 (Var.out):
60 days (10/02/1999 to 10/04/1999) time series of the state variables values, averaged daily
and over the upper mixed layer (UML)
See state variables list in Table 1 below.
Diatoms and autotrophic nanoflagellates chlorophyll a (columns AH, AI) are estimated on the
basis of the functional and structural metabolites concentration (state variables DAF and NFF),
using a conversion factor of 0.5 mg chla / mmol C
Sheet 2 (Var.in):
see Sheet 1
Sheet 3 (Act.out):
activities time series (outside the patch)
60 days (10/02/1999 to 10/04/1999) time series of the activities (biogenic elements fluxes)
values, integrated over the upper mixed layer (UML) and daily averaged.
See activities list in Table 2 below.
Sheet 4 (Act.in):
see Sheet 3
Sheet 5 (BudgetC):
Carbon budget of the Upper Mixed Layer, calculated over 13 days (site occupation of SOIREE) and
60 days since the initial iron release (inside and outside the fertilized patch)
Sheet 6 (pCO2):
Time series of daily averaged surface water pCO2 (in situ temperature, 100% wet) (inside and
outside the fertilized patch)
Sheet 7 (Forcing):
Time series of daily averaged wind velocity (m s-1), sea surface temperature (°C), and
mixed layer depth (m).
Table 1. SWAMCO state variables activity code unit diatoms photosynthesis photDA mmol m-2 day-1 diatoms respiration respDA mmol m-2 day-1 diatoms growth sDAF mmol m-2 day-1 diatoms lysis l ysDA mmol m-2 day-1 nanoflagellates photosynthesis photNF mmol m-2 day-1 nanoflagellates respiration respNF mmol m-2 day-1 nanoflagellates growth sNFF mmol m-2 day-1 nanoflagellates lysis lysNF mmol m-2 day-1 NO3 uptake NO3upt mmol m-2 day-1 NH4 uptake by phytoplankton NH4upt mmol m-2 day-1 mesozooplankton grazing on diatoms MSgDA mmol m-2 day-1 mesozooplankton grazing on microzoo MSgMC mmol m-2 day-1 MCZ grazing on autotrophic nanofalg. MCgNF mmol m-2 day-1 MCZ grazing on heterotrophic nanoflag. MCgHNF mmol m-2 day-1 HNF grazing on bacteria HNFgBAC mmol m-2 day-1 bacteria growth muBAC mmol m-2 day-1 ammonification NregBAC mmol m-2 day-1 NH4 regeneration by protozooplankton NregZOO mmol m-2 day-1 PO4 regeneration by protozooplankton Preg mmol m-2 day-1 Fe regeneration by protozooplankton Fereg µmol m-2 day-1 POC export production (110m) sed mmol m-2 day-1 diatoms (C) export production (110m) sedDA mmol m-2 day-1 diatoms (Si) export production (110m) sedBSi mmol m-2 day-1 sea to air CO2 flux CO2flux mmol m-2 day-1 DIC upwelling upwDIC mmol m-2 day-1 Fe upwelling upwFe µmol m-2 day-1 bacteria autolysis lysBAC mmol m-2 day-1 HNF autolysis lysHNF mmol m-2 day-1 MCZ autolysis lysMCZ mmol m-2 day-1 POC export production out of the UML sedUML mmol m-2 day-1 Table 2. SWAMCO activities (fluxes of biogenic elements) activity code unit Functional and structural metabolites (diatoms) DAF mmol C m-3 Monomeric substrates (diatoms) DAS mmol C m-3 Reserve material (diatoms) DAR mmol C m-3 Functional and structural metabolites (nanoflag.) NFF mmol C m-3 Monomeric substrates (nanoflag.) NFS mmol C m-3 Reserve material (nanoflag.) NFR mmol C m-3 Microzooplankton MCZ mmol C m-3 Heterotrophic nanoflagellates HNF mmol C m-3 Bacteria BAC mmol C m-3 monomeric substrates for bacteria (C) BSC mmol C m-3 dissolved organic C (high biodeg.) DC1 mmol C m-3 dissolved organic C (low biodeg.) DC2 mmol C m-3 particulate organic C (high biodeg.) PC1 mmol C m-3 particulate organic C (low biodeg.) PC2 mmol C m-3 monomeric substrates for bacteria (N) BSN mmol N m-3 dissolved organic N (high biodeg.) DN1 mmol N m-3 dissolved organic N (low biodeg.) DN2 mmol N m-3 particulate organic N (high biodeg.) PN1 mmol N m-3 particulate organic N (low biodeg.) PN2 mmol N m-3 dissolved organic P (high biodeg.) DP1 mmol P m-3 dissolved organic P (low biodeg.) DP2 mmol P m-3 particulate organic P (high biodeg.) PP1 mmol P m-3 particulate organic P (low biodeg.) PP2 mmol P m-3 nitrate NO3 mmol N m-3 ammonium NH4 mmol N m-3 phosphate PO4 mmol P m-3 silicic acid DSi mmol Si m-3 biogenic Si BSi mmol Si m-3 total dissolved iron DFe µmol Fe m-3 total dissolved inorganic carbon DIC µmol kg-1 total alkalinity ALK µmol kg-1
Lancelot, C., Boyd, P. W. (2008) Model results: biogenic element flux activity inside fertilized patch (Act.in) from the R/V Tangaroa 61TG_3052 cruise in the Southern Ocean during 1999 (SOIREE project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 25August2008 ) Version Date 2008-08-25 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/2884 [access date]
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This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.