Research into the interlinks between biodiversity patterns, processes, threats, conservation and human welfare



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Ocean biogeochemical projections

Earth System models analysed in this project.

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Sea Water Potential Temperature

Sinking Particulate Organic Carbon Flux

Dissolved Oxygen Concentration

pH

Center 

Country 

Model 

Contact

(oK, thetao)

(g C m-2 y-1, Productivity)5

(ml m-3, o2)6

(ph)

Commonwealth Scientific and Industrial Research Organisation

Australia

ACCESS1-0

Mark Collier

ACCESS1-3

mark.collier@csiro.au

 Bureau of Meteorology

 

CSIRO-Mk3-6-0

 

Beijing Climate Center

China

BCC-CSM1.1

Tongwen Wu

 

 

BCC-CSM1.1.m

twwu@cma.gov.cn

Beijing Normal University

China

BNU-ESM

 

Centre National de Recherches Meteorologiques

France

CNRM-CM5

 

Canadian Centre for Climate Modelling and Analysis

Canada

CanESM2

Jim Christian Jim.Christian@ec.gc.ca

1

Community Climate System Model

USA

CESM1-BGC

 

 

CESM1-CAM5

cesm_data@ucar.edu

National Center for Atmospheric Research

USA

CCSM4

 

Chinese Academy of Sciences

China

FGOALS-s2

 

 

 

FGOALS-g2

 

First Institute of Oceanography

China

FIO-ESM

 

Geophysical Fluid Dynamics Laboratory

USA

GFDL-CM3

John Dunne

GFDL-ESM2G

John.Dunne@noaa.gov

2

 

 

GFDL-ESM2M

 

NASA Goddard Institute for Space Studies

USA

GISS-E2-R

 

Met Office Hadley Centre

UK

HadGEM2-CC

Paul Halloran

 

 

HadGEM2-ES

paul.halloran@metoffice.gov.uk

Institut Pierre-Simon Laplace

France

IPSL-CM5A-LR

Laurent Bopp

IPSL-CM5A-MR

bopp@lsce.ipsl.fr

 

 

IPSL-CM5B-LR

 

University of Tokyo

Japan

MIROC5

Hideki Okajima

MIROC-ESM

okajima@aori.u-tokyo.ac.jp

 

 

MIROC-ESM-CHEM

 

Max Planck Institute for Meteorology

Germany

MPI-ESM-LR

Tatiana Ilyina

3

 

 

MPI-ESM-MR

tatjana.ilyina@zmaw.de

3

Meteorological Research Institute

Japan

MRI-CGCM3

NAKANO Hideyuki

hnakano@mri-jma.go.jp

Norwegian Climate Centre

Norway

NorESM1-M

Jerry Tjiputra

 

 

NorESM1-ME

jtj061@bjerknes.uib.no

3

University of Victoria

Canada

UVic ESCM

Michael Eby

eby@uvic.ca

4

TOTAL NUMBER OF MODELS

 

32

13

12

13

 

1 Sinking Particulate Organic Carbon Flux (i.e. CMIP5 variable name: expc) was not calculated directly by the model. However, Detrital Organic Carbon Concentration (i.e. CMIP5 variable name: detoc) was, which in turn, can be used to estimate expc by multiplying detoc by a flux speed of 0.000081 (m/s) or 7 (m/d). See supplement for validation of the approach using models that calculated both detoc and Productivity.

2 Sinking Particulate Organic Carbon Flux (i.e. CMIP5 variable name: expc) was not specifically calculated by this model. However, the model calculated Detrital Nitrogen Concentrations (i.e. ndet_z in molN kg-1), which in turn can be converted to expc by multiply by the sinking velocity of 100 m/day, converting from mass to volume units (rho_0=1035 kg m-3), and from nitrogen to carbon (106/16). Specifically, expc=ndet_z*100/86400*1035*106/16.

3 The same as in 1 but these models used a flux speed of 0.000058 (m/s) or 5 (m/d).

4 As in 2, this model calculated sinking Nitrogen in mol N m-2 s-1. So we multiple the modelís output by a conversion factor of 7 to convert from Nitrogen to Carbon and by 12.0107 to convert from mol to grams of Carbon.

5 Sinking Particulate Organic Carbon Flux (i.e. CMIP5 variable name: expc) was originally measured in moles of Carbon per second but we converted to grams of Carbon per year by converting from moles to gram (*12.0107) and from seconds to year (*31536000). Phytoplankton Carbon Concentration was also converted from moles of Carbon to gram of Carbon by using the conversion factor of 12.0107.

6 Dissolved Oxygen Concentration was originally measured in moles but we converted to mL by using the conversion factor of moles to ml of oxygen of 22.391.