Data sets based on Argo: Role of Regional Centers

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Data sets based on Argo: Role of Regional Centers 2009 ARC Meeting Sept. 29, 2009 Toulouse, FR

description

Data sets based on Argo: Role of Regional Centers. 2009 ARC Meeting Sept. 29, 2009 Toulouse, FR. Discussion points. What to call these things? Data products? Synthesis data sets? Is there a need to coordinate? Roles of science team and/or ARCs? Validate/approve? Design? - PowerPoint PPT Presentation

Transcript of Data sets based on Argo: Role of Regional Centers

Page 1: Data sets based on Argo: Role of Regional Centers

Data sets based on Argo:Role of Regional Centers

2009 ARC MeetingSept. 29, 2009 Toulouse, FR

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Discussion points

• What to call these things?– Data products?– Synthesis data sets?

• Is there a need to coordinate?• Roles of science team and/or ARCs?– Validate/approve?– Design?

• Inventory efforts– Done regionally (by originator)?

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Issues (cont’d)

• Do we have a clear idea of Argo users, how they access data, and in what form?– E.g., X-megabytes of Argo data are downloaded

from the GDACs each month; of this Y% is done by operational modeling centers, Z% is done by individual researchers, etc.

• Similarly for synthesis products based on Argo– Here we would include an inventory of who is

producing what and how often

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What to conclude

• Revise our existing spreadsheet on Argo-related syntheses

• Come up with a specific recommendation for coordination of these syntheses, including roles of ST and ARCs if any

• If possible, identify needs for future development

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Scripps Inventory

•Coriolis•IFREMER•IPRC•JAMSTEC•Met Office•Scripps•INCOIS

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Institute Derived quantity

Binary access

VerticalInterp

HorizInterp

TempInterp

TrajFile

Interact search

Float location

Region TempRes

Argo/Mixed

Web sitelanguage

Start time

Freq of updates

Coriolis  T,s,rho,MLD

 x  x  x x    x  x G R

W M E/F 1990 W,Y,C

MEDS  T,s,tech info, O2

 x  x    x  x  x  G D A E/F 2001 D

JAMSTEC  T,s,MLD,velo

 x  x  x    x  x  G M M E/J

JMA  T,s,velo    x  x    x  x  GR

D M E/J

J-PARC                

KMA/METRI

 T,s,rho,MLD

 x  x  x  x  x  x  R W M E/K

KORDI  T,s,rho,DO x  x    x  x  x  R D A K

IOS  T,S,velo,MLD

   x  x        R M A E/F

NFRDI T,s  x  x  x    x  x  G W A E/K

KODC                

CNDC/NMDIS

T,s,rho  x  x    x  x  x  G D A

CSIO/SOA

             

AOML  MLD,MLT,heat storage,T,s

   x  x        G M M E

IPRC/UH

 T,S,rho,vel,MLD,DYNH,BLT

 x  x  x  x      G M A E

UCSD  T,S  x  x  x x    x  x  G R (tropical)*

M5D

A E

UW              

WHOI              

FNMOC  T,s,SSH,DYNH

 x  x x    x  G D M E

CSIRO  T,s    x      x  x G W A E

PMEL

INCOIS T,s,MLD,velo,heat content,D20

x x x x x R M 10-D

A E

CSIRO

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Institute Derived quantity

Binary access

VertInterp

HorizInterp

TempInterp

TrajFile

Interact search

Float location

Region

TempRes

Argo/Mixed

Web sitelanguage

Start time

Freq of updates

Coriolis  T,s,rho,MLD  x  x  x x    x  x G R

W M E/F 1990 W,Y,C

MEDS  T,s,tech info, O2

 x  x    x  x  x  G D A E/F 2001 D

JAMSTEC

 T,s,MLD,velo  x  x  x    x  x  G M M E/J

JMA  T,s,velo    x  x    x  x  GR

D M E/J

J-PARC                

KMA/METRI

 T,s,rho,MLD  x  x  x  x  x  x  R W M E/K

KORDI  T,s,rho,DO  x  x    x  x  x  R D A K

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Example data product: APDRC

• Taking raw data from GDAC and producing gridding products for use in models and other analyses

• Create horizontal maps of binned (profiles in a certain lat/lon box) and interpolated variables (temp, salt, density) and derived variables (MLD, BLT)

• Further make derived estimates of velocity

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