168 Oceanography | Vol.24, No.1
Other
ICES ASC
6
8
Aberdeen
17
Figure 1. Affiliation of respondents who
answered the questionnaire. ICES ASC
= answered during a special session
at the International Council for
the Exploration of the Sea
Annual Science Conference,
Berlin. Aberdeen = answered
during a special session at
Marine Scotland Science,
UK. IMARES = answered
during a special session
at Institute for Marine
Resources and Ecosystem
Studies, The Netherlands.
CEFAS = answered via
correspondence at Centre
for Environment, Fisheries
& Aquaculture Science, UK.
IFREMER = answered via correspon
dence at Institut français de recherche pour
l'exploitation de la mer, France. IMR = answered
via correspondence at Institute for Marine Research, Norway. Other = answered by
correspondence by other researchers, not affiliated with any of the previous groups.
IMARES
18
CEFAS
From the list provided, please list which data product(s)
are most important to you and your work.
RESULTS
In total, 98 scientists responded from
a range of institutes that broadly
reflect the scope of ICES (Figure 1).
Approximately 75% of the respondents
classed themselves as “intermediate” or
“expert” in data handling, and over 50%
of the respondents said that they handle
data sets at the megabyte size or less,
which is considered small in terms of
operational oceanography.
The variables listed in the question
naire (e.g., temperature, C0 2 ) had been
previously classified as high-, medium-,
or low-priority products (Figure 2) by
WGOOFE (ICES, 2009). These classifica
tions were generally similar to those of
the respondents (Figure 2). Data prod
ucts on temperature, currents, salinity,
chlorophyll standing stock, and primary
production were most requested. Salinity
was requested more than expected from
the prior classification, and ice coverage
and timing much less than expected.
Products providing physical variables
were in higher demand than those
related to biology or chemistry, although
products providing zooplankton produc
tion and standing stock, oxygen, and
planktonic fish distributions were in the
top 10 rankings.
All survey questions on data format
and delivery were significantly different
from a random pattern (Figure 3),
Figure 2. Required oceanographic variables for
data products. Variables in the horizontal axis
sorted according to initial ranking (ICES, 2009)
with squares representing original ranking:
blue = high, red = medium, and green = low.
1 Blooms = bloom time/duration/intensity.
2 Fronts = location of frontal regions.
3 Rivers = river plumes and loads. 4 Fish = fish
larvae growth and distribution. 5 Light = light in
the water column. 6 Waves = wave height and
direction. 7 SPM = suspended particulate matter.