mind maps (from interviews) atmosphere.mm ocean.mm mind maps (from interviews) atmosphere.mm...

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Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.pn g CIM Instances cnrm_cm3.xml arpclim.xml arpclim_clouds. xml opa.xml Questionna ire CMIP3 * Questionna ire CMIP5 * uggestion for modifications (in document ) Missing CV + recommendations to limit free- text use Missing CV scientific documentat ion *software part Keep in mind « end-user » query mandatori es

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Page 1: Mind maps (from interviews) Atmosphere.mm Ocean.mm Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.png CIM software.png CIM

Mind maps(from interviews)

Atmosphere.mmOcean.mm

Query tools

CIMsoftware.png

CIM Instancescnrm_cm3.xml

arpclim.xmlarpclim_clouds.xml

opa.xml

Questionnaire CMIP3*

Questionnaire CMIP5*

Suggestion for

modifications

(in document)

Missing CV

+ recomm

endations to

limit free-text use

Missing CV

scientific documentation

scientific documentation

*software part

Keep in mind « end-user »

query

mandatories

Page 2: Mind maps (from interviews) Atmosphere.mm Ocean.mm Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.png CIM software.png CIM

Illustration of CNRM-CM3 (Meteo-France, AR4, CMIP3) coupled model

Notes:

Instances not complete!

Points we worked on :

Basics: name, institution, reference, author...

Scientific: sub-components as childs, physical schemes as NumericalProperties, prognostic variables as ScientificProperties, ...

Coupling relationships: initial conditions, boundary conditions, bexchanges, forcings, … as Compositions

Technical: Plateform and compilation options as Deployment

Quality not tested

Keywords for comments are in wiki page #212 and feedback for the CIM in a document

View Instances:1. Overview cnrm_cm3.xml2. Deployment arpclim.xml 3. NumericalProperties opa.xml4. Composition all xml files

4.1. BC (ocean color) opa.xml4.2. IC + forcings (aerosols, Ozone, GHG, ...) arpclim.xml4.3. coupling between components (A-O, A-LS, LS-O)

cnrm_cm3.xml

Page 3: Mind maps (from interviews) Atmosphere.mm Ocean.mm Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.png CIM software.png CIM

CMIP3 questionnaire for Ocean (1/3)

Model name resolution grid Advection scheme

Time-stepping scheme

Vertical coordinate

Free surface or rigid liquid?

Virtual salt flux or freshwater flux?

OPA 8.1 (CNRM-CM3)

182 x 152 Arakawa C grid

upstream non-diffusive part= leapfrog; diffusive part= implicit

z-coordinate rigid-liquid freshwater

additionnal description

2° in lon; resol. varying in lat from 0.5 ° at eq. to 2° in polar regions

15 time-steps per day 31 vertical levels with 10 in the upper 100m

OPA(IPSL-CM4)

quasi-isotrope tripolar grid

2nd order arakawa

leap-frog; except for lateral diffusion= forward; and vertical diffusion= backward

z-coordinate free surface freshwater flux

additionnal description

2 poles in NH over Canada and Siberia; 2° Mercator grid with enhanced resol. 1° In Med and Red seas

XXX (ECHAM5_MPI-OM)

1.5°; 40 vertical levels

C-grid Barotropic part= semi-implicit solver

z-coordinate with partial cells

free surface freshwater flux

additionnal description

conformal mapping grid with grid poles over Greenland and Anctartica

Q1

Q2: Numerical Scheme/grid including:

Page 4: Mind maps (from interviews) Atmosphere.mm Ocean.mm Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.png CIM software.png CIM

CMIP3 questionnaire for Ocean (2/3) Q4

a. b. c. d. e. f. g. h.

Page 5: Mind maps (from interviews) Atmosphere.mm Ocean.mm Mind maps (from interviews) Atmosphere.mm Ocean.mm Query tools CIM software.png CIM software.png CIM

CMIP3 questionnaire for Ocean (3/3)

Questions added by the user:(i.) Isopycnal diffusion= [ref] -> why not in (Q4 a. Eddy

parametrization)?(j.) Tracers advection=[ref] -> why not in (Q1 advection

scheme)?

a. b. c. d. e. f. g. h.

Q4. Parametrizations

CV for names captured in mind mapsCV for names missed in mind mapsCV for values captured in mind mapsCV for values missed in mind mapsUser did not find a good place for his information

Key colors to read: