CORDEX_CORE @ ICTP - - PowerPoint PPT Presentation

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CORDEX_CORE @ ICTP - - PowerPoint PPT Presentation

CORDEX_CORE @ ICTP http://www.cordex.org/experiment-guidelines/cordex-core Where are the data? Graziano Giuliani ICTP-ESP Computational Platform CINECA Marconi Tier0 Runs: AFR-22 (scenario) AUS-22 (OK) CAM-22 (scenario)


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SLIDE 1

CORDEX_CORE @ ICTP

http://www.cordex.org/experiment-guidelines/cordex-core

Where are the data?

Graziano Giuliani ICTP-ESP

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SLIDE 2

Computational Platform

  • CINECA Marconi Tier0
  • Runs:

– AFR-22 (scenario) – AUS-22 (OK) – CAM-22 (scenario) – EUR-11 (OK) – SAM-22 (OK)

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SLIDE 3

External to ICTP

  • LLNL

– WAS-22 (OK)

  • HK

– SEA-22 (scenario)

  • China

– EAS-22 (?)

  • NCAR

– NAM-22 (?)

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SLIDE 4

Data @ ICTP

Original RegCM data format (monthly means) Some daily files /home/clima-archive4/CORDEX2/monthly_original

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SLIDE 5

Data @ CINECA

  • CORDEX format (CMOR) data

/gss/gss_work/DRES_P14_3590

– Partially completed following CORDEX-CORE guidelines

  • WAS (mirror), EUR, AFR, SAM, CAM, AUS

– Almost ready:

  • Daily
  • Monthly

– hurs, mrro, pr, tas, tasmax, tasmin

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SLIDE 6

Data @ ESGF

  • As soon as QA/QC is passed
  • Cineca ESGF data node
  • ESG will index the data which will be available for

download through the standard CMIP5 interface

  • https://esg-dn1.nsc.liu.se/search/cordex/
  • https://XXXXXXXXXXXX/search/cordex
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SLIDE 7

Data Availability Policy

  • Embargo on derived articles until first article is

published with defined author list (ask Filippo)

  • https://www.nature.com/articles/sdata2018259
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SLIDE 8

Access to Marconi data

  • Each of the CORDEX domain runs has one reference

person:

– Africa Francesca – Europe James – South America Taleena – Central America Abraham – Australia Taleena – South Asia (partial mirror of data at LLNL) Sushant

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SLIDE 9

Tools in desktops

source home/netapp-clima/users/ggiulian/minter-19.sh

– CDO/NCO – NCL – Python – GrADS – ferret

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SLIDE 10

WIP remark

  • “In the future, datasets and software with provenance

information will be first-class entities of scientific publication, alongside the traditional peer-reviewed article […] Data analytics at large scale is increasingly moving toward machine learning and

  • ther directly data-driven methods of analysis, which

will also be dependent on data with provenance tracking.”