arcticnet iris workshop · 2019. 6. 11. · arcticnet iris workshop project 4.1 arcticnet modelling...

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ArcticNet IRIS Workshop ArcticNet IRIS Workshop Project 4.1 Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS University of Manitoba [email protected]

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Page 1: ArcticNet IRIS workshop · 2019. 6. 11. · ArcticNet IRIS Workshop Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS

ArcticNet IRIS WorkshopArcticNet IRIS WorkshopProject 4.1Project 4.1

ArcticNet Modelling Scenarios Database (AMSD)

Jay AndersonDavid BarberWayne Chan

Jay Anderson

CEOS

University of Manitoba

[email protected]

Page 2: ArcticNet IRIS workshop · 2019. 6. 11. · ArcticNet IRIS Workshop Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS

2Commodore 64

Page 3: ArcticNet IRIS workshop · 2019. 6. 11. · ArcticNet IRIS Workshop Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS

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• Archive model data in a simple format (ASCII)• Provide a portal into large datasets that cannot be

archived on site (NARR)• Geocode the data for incorporation into GIS programs• “cut” the data to fit individual IRIS’s• Provide a “vault” for model data as projects end and

move forward• Promote the IRIS concept

Project 4.1 Goals

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Project 4.1 Status (1)

• GEM data has been archived in geocoded ASCII since August– Northern hemisphere at this stage– 15-km resolution– Surface parameters (21)– Use only analysis fields (00 and 12Z)– Distributed as zipped text file (200K points) each

about 2 megs in size

Page 5: ArcticNet IRIS workshop · 2019. 6. 11. · ArcticNet IRIS Workshop Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS

Project 4.1 status (2)

• A portal into NARR data is complete– Not stored on site, but converted “on the fly” to fit

geocoded ASCII goal– 85 surface-based parameters (of 186)– Provided as a zipped text file

• A portal to DFO WebTide program • 2-terabyte hard drive delivered (Tang: 140 Mb for one

month of ice data in NetCDF format)

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Sample of GEM data output The GEM grid

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Current projects

• Build ftp site at the UofM for data upload• NetCDF to ASCII algorithm• Response from owners of datasets• Build ‘cutouts’ for new IRIS boundaries

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Project 4.1 near term

• Add Tang’s model data for the east coast to the archive (CECOM)

• Add Flato/Sou’s Archipelago ice model data to the archive

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Flato/Sou: Canadian Archipelago

• Ice-ocean coupled model, 22-km grid (0.2°)• 1950-2004 observed forcing• 2041-2060 climate model forcing• 24-layer ocean• 2 category ice, ice advection

Page 14: ArcticNet IRIS workshop · 2019. 6. 11. · ArcticNet IRIS Workshop Project 4.1 ArcticNet Modelling Scenarios Database (AMSD) Jay Anderson David Barber Wayne Chan Jay Anderson CEOS

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Model Domain

Depth (m)

Canada

Beaufort Sea

Nares St

Baffin Bay

Jones SoundVictoria

Island

Baffin Island

LancasterSound

WellingtonChannel

Greenland

Sou: Canadian Archipelago

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Tang: Canadian East Coast Ocean Model (CECOM)

• Daily data, September 2004-05• Nares Strait to Gulf Stream including Gulf of St Lawrence• 0.1° x 0.1°• 15-layer atmosphere, 21-layer ocean temp, salinity, velocity; sea surface elevation; ice concentration, thickness, velocity, pressure

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Other models of interestMaslowski:

Beaufort IRIS5 (Arctic)

Saucier:Hudson Bay Oceanic ModelSouthern Baffin

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Project 4.1 longer term

• Add data from other model runs• Archive new databases as they are created• Expand offering to include multiple datasets

in one request

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Responsibilities

• Use of model data in research projects requires a collaborative agreement with the originator (except for GEM and NARR data)

• If the model is in the public domain, then normal publication citations are required

• Normally costs associated with data collection, conversion, and storage will be borne by Project 4.1

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