Australia’s Marine Virtual Laboratory, MARVL: enabling efficient ocean model configuration  Roger Proctor and the MARVL team.

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Presentation transcript:

Australia’s Marine Virtual Laboratory, MARVL: enabling efficient ocean model configuration  Roger Proctor and the MARVL team

Rationale for MARVL High-resolution models are historically time-consuming to configure – often taking weeks to months to properly prepare. Collecting the relevant data and making it suitable for the model at hand is a tedious task We have sought to build a web browser toolkit for accelerating this initial phase of development for a number of community models, including ROMS

MARVL development MARVL is a Virtual Laboratory under the NeCTAR Virtual Laboratory program supplemented by ANDS MARVL development is a partnership between CSIRO, IMOS and TPAC MARVL testing has involved the Australian marine research community – CSIRO, IMOS, AIMS, BoM, UNSW, UWA, SARDI and ‘others’ – Phil Gillibrand (UHI, UK), Brian King (RPS APASA) & John Wilkin (Rutgers U)

*e.g. for ship of opportunity XBT data MARVL in a nutshell Initiate Processing: Evaluate dependencies, create workspaces, initiate data requests including for observations* *e.g. for ship of opportunity XBT data http://geoserver-123.aodn.org.au/geoserver/imos/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=imos:soop_xbt_dm_profile_data&CQL_FILTER=XBT_uniqueid=%2788949016%27&outputFormat=CSV www.marvl.org.au

MARVL schematic

MARVL features Five community models – 3 hydrodynamic (ROMS, MOM4, SHOC), 2 wave (WW3, SWAN) Reanalysis datasets for ocean initial and boundary conditions (BRAN3, GLORYS, Oceanmaps, FOAM), and for atmospheric forcing (ACCESS-R, NCEP) Global 1km bathymetry Help assistant (beginner, expert) Some user customisation, model dependent, e.g. upload own grid, modify parameters Takeaway bundles for all models, cloud simulation for (at present) SWAN & SHOC Summary log file, fragments extracted for provenance record (in progress).

How to use MARVL? If Australian affiliation, get an AAF account - http://aaf.edu.au/ If not, register through ‘Virtual Home’ – contact roger.proctor@utas.edu.au In 2017 we should be able to use eduGain, the international login Get the URL - https://portal.marvl.org.au Jump in! Er, that’s it

Quick walk through - https://portal.marvl.org.au

MARVL Outputs Monitoring panel and download File Bundles

Feedback from recent testing Phil Gillibrand … interest in marine renewable energy used SHOC, both download bundle and cloud simulation worked well in both ways some issues uploading own grids need better help documentation extend time period for downloaded datasets add other models, e.g. unstructured, and make datasets global Brian King … interest in search and rescue (SAR) applications found interface easy to use models suitable for SAR applications need forecasting capability for SAR applications SHOC model output not compatible with existing SAR trajectory models potentially useful tool for operational SAR subject to modifications

John Wilkin … ROMS model focus, test case for the greater Hauraki Gulf in New Zealand the process of getting started was not intuitive better labelling of tasks projections other than square required generated grid file compliant need additional met parameters for surface fluxes like improved provenance need improved print capability for Summary page bug in surface forcing interpolation romsForcing.nc has incorrect formulation for surface flux have to customize varinfo.dat to read the variable names in romsForcing.nc make better use of the ROMS CDL variable templates need improved logic to ingest user-defined grid file (errors in coordinates) improvements would make MARVL a useful tool

Possible improvements to better serve ROMS users (John’s recommendations) Improved HELP content and documentation Better step-by-step labelling Capture provenance data Revise interpolation (more judicious land/sea mask usage) Revise surface flux outputs Improve grid upload ingest (to fix erroneous geolocation) Adopt ROMS variable labelling Install latest version of ROMS

Want to know more about MARVL? Read all about it Oke et al, 2016, Geosci. Model Dev., 9, 3297-3307. Online

Thanks for listening, now I can go home! roger.proctor@utas.edu.au