12
NEVILLE SMITH
Coherent, organized data sets: GODAE aims to develop more
coherent, better organized, more widely available and more useful data sets.
Such outputs will be realized through:
(a) More effective assembly and availability. From the outset, the
GODAE participants recognized that they must work to build coherent data
streams that remove the mysteries associated with specific measurement
techniques and the confounding problems associated with merging data of
different types and formats.
(b) Improving data utility. GODAE places a high-premium on the wide
use of data and products to ensure observing efforts realize their full
potential in operational systems.
(c) Improving data quality. A sub-project has been launched to
coordinate
and
standardize
the
GODAE
approach
(see
www.bom.gov.au/GODAE/). As operational oceanography systems mature,
they will provide routine, regular and immediate testing of data and thus add
value to data sets.
These outputs depend upon adequate devotion of effort to all stages of
data handling. Efficiency is realized through rationalization and streamlining
of the procedures.
Reanalyses and synoptic ocean analyses: GODAE is most readily
associated with products of ocean model assimilation, usually in the form of
space-time gridded fields. GODAE includes the continual revision and
improvement of analyses, either through re-analysis or through
intercomparison activities. The great worth of reanalyzes lies in the fact that
they provide dynamically and physically consistent estimates over a period,
in a form that is readily used by research, but also by the broader marine
community who have interests (dependencies) on knowledge of ocean
variability and predictability.
Short-range ocean forecasts: GODAE will have a leading role in shortrange ocean prediction and a supporting role in coupled air-sea prediction
and surface wind waves via the provision of related ocean fields to
application centers. While we might argue that 4-dimensional assimilation is
at its roots simply a means for projecting and synthesizing data in space and
time, the capacity to extend this projection (initial condition) forward in time
to produce forecasts gives the system special value.
Climate applications: The most common application for the GODAE
ocean state estimate is as an initial condition for a coupled model forecast
(e.g., Ji et al., 1998). One of the primary issues to be faced by this
community is how best to use the state estimate; for example, the nature of
NEVILLE SMITH
Coherent, organized data sets: GODAE aims to develop more
coherent, better organized, more widely available and more useful data sets.
Such outputs will be realized through:
(a) More effective assembly and availability. From the outset, the
GODAE participants recognized that they must work to build coherent data
streams that remove the mysteries associated with specific measurement
techniques and the confounding problems associated with merging data of
different types and formats.
(b) Improving data utility. GODAE places a high-premium on the wide
use of data and products to ensure observing efforts realize their full
potential in operational systems.
(c) Improving data quality. A sub-project has been launched to
coordinate
and
standardize
the
GODAE
approach
(see
www.bom.gov.au/GODAE/). As operational oceanography systems mature,
they will provide routine, regular and immediate testing of data and thus add
value to data sets.
These outputs depend upon adequate devotion of effort to all stages of
data handling. Efficiency is realized through rationalization and streamlining
of the procedures.
Reanalyses and synoptic ocean analyses: GODAE is most readily
associated with products of ocean model assimilation, usually in the form of
space-time gridded fields. GODAE includes the continual revision and
improvement of analyses, either through re-analysis or through
intercomparison activities. The great worth of reanalyzes lies in the fact that
they provide dynamically and physically consistent estimates over a period,
in a form that is readily used by research, but also by the broader marine
community who have interests (dependencies) on knowledge of ocean
variability and predictability.
Short-range ocean forecasts: GODAE will have a leading role in shortrange ocean prediction and a supporting role in coupled air-sea prediction
and surface wind waves via the provision of related ocean fields to
application centers. While we might argue that 4-dimensional assimilation is
at its roots simply a means for projecting and synthesizing data in space and
time, the capacity to extend this projection (initial condition) forward in time
to produce forecasts gives the system special value.
Climate applications: The most common application for the GODAE
ocean state estimate is as an initial condition for a coupled model forecast
(e.g., Ji et al., 1998). One of the primary issues to be faced by this
community is how best to use the state estimate; for example, the nature of