1. How ACORN data is shown on the IMOS OceanCurrent website David Griffin CSIRO Marine and Atmospheric Research

3. Purpose of OceanCurrent To provide a diverse range of user groups with a quick look at a wide range of data types – not the details of any. A (not exclusive) emphasis on now. National coverage. Not tied to any node or facility. Not interactive. Not a data portal. Just maps and words. Interpret the data, explain the methods. Integrate the MOS. Exercise the data system. Identify data mgt inconsistencies. Eventually: statistical products, not just snapshots and animations

4. Use of ACORN Went ‘live’ on 8 June 2012, ie plots update automatically Showing ROT, SAG, BONC, COF and CBG on top of SST, altimetry, drifters, ANMN and soon: gliders and chlor-a TURQ is on a secret page because the data look wrong COF and BONC have lesser problems CBG is OK but the tides are strong and coverage intermittent ROT provides the best eye candy – hence the Ocean News item.

5. Stumbling blocks Several ‘inconveniences’ (for users) could be removed: Hourly data stored 1 record per file -> 8 hours to read a year. Seb has now made monthly files with ~24*30 records –should be much faster to read. QC flags not useful (and too numerous) CODAR: hidden in a folder called ‘Sea state’ – but no wave data. No TIME dimension. (Time is an attribute, not a variable). List of points. User must infer the grid. Many files with no data Main issue: gappiness. We were warned.

13. TURQ data (northern array) are clearly wrong:

14. Conclusion Congratulations to those who have got us to where we are now! ACORN has a wide range of practical as well as research uses. Some issues need addressing: File formats Calibration De-tiding. Files could include tidal current predictions, especially for CBG. In turn, analyses of ACORN data will improve those predictions. Need longer range. Neptune system for GAB/Browse/NWS? Bluelink will be using ACORN mostly for validation. But Au- focussed projects will assimilate the data into models – and then be hungry mouths.

15. Insert presentation title Thankyou

16. Data reading We use toolsIU.jar (via Matlab’s java virtual machine) for reading the files from the server. FFI: http://www.unidata.ucar.edu/software/netcdf- java/documentation.htm http://www.unidata.ucar.edu/software/netcdf- java/documentation.htm The harder job is knowing 1) what files are there and 2) what’s in them. To solve (1) we use Laurent Besnard’s List_NC_recur.m To solve (2) we simply rummage the metadata with a browser.