BLUELINK
437
x Identification of changes in coastal water temperatures, tides, sea
level and currents that influence, for example, coral reefs and
aquaculture management.
x Longer lead-times in climate predictions providing agriculture,
tourism, energy generators, disaster response and insurance sectors
with greater planning flexibility to respond where possible to the
impacts of climate.
x Access for researchers to enhanced ocean data (observed and
modelled) with the potential to generate value-added applications for
industry and the community.
Figure 6. Example of high-resolution ROAM ocean simulation showing sea level and
currents in the Gulf of Carpentaria. Courtesy Mike Herzfeld and Scott Condie, CSIRO Marine
Research.
At the time of writing this chapter, the work focussed on the first global
reanalysis run over the last decade which also serves as a first test of the
combined global model, data assimilation system and observations (see
section 3.1 for observations assimilated in the model). In hindcast/ reanalysis
mode the model is forced by 6-hourly ERA-40 data from the ECMWF (plus
437
x Identification of changes in coastal water temperatures, tides, sea
level and currents that influence, for example, coral reefs and
aquaculture management.
x Longer lead-times in climate predictions providing agriculture,
tourism, energy generators, disaster response and insurance sectors
with greater planning flexibility to respond where possible to the
impacts of climate.
x Access for researchers to enhanced ocean data (observed and
modelled) with the potential to generate value-added applications for
industry and the community.
Figure 6. Example of high-resolution ROAM ocean simulation showing sea level and
currents in the Gulf of Carpentaria. Courtesy Mike Herzfeld and Scott Condie, CSIRO Marine
Research.
At the time of writing this chapter, the work focussed on the first global
reanalysis run over the last decade which also serves as a first test of the
combined global model, data assimilation system and observations (see
section 3.1 for observations assimilated in the model). In hindcast/ reanalysis
mode the model is forced by 6-hourly ERA-40 data from the ECMWF (plus