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C.J. Donlon
include measurement uncertainty estimates for each derived SST value and
supporting auxiliary data sets to facilitate their use by data assimilation systems.
• GHRSST advisory groups have conducted extensive research to ensure that SST
diurnal variability (DV) is properly flagged within observational data; developed
methods to correct for bias in different satellite data sets; provided uncertainty
estimates on a measurement by measurement basis, developed high resolution
sea ice data sets and accurate SST products in the marginal ice zone.
• New cost-effective approaches to an integrated and optimised SST measurement
system have been developed and are used operationally, to reduce bias error
in AVHRR data using targeted global deployment strategies for drifting buoys
(Zhang et al., 2009).
• New SST analysis products using new methods to merge in-situ data with
complementary microwave and infrared satellite data have been developed and
implemented operationally.
• Inter-comparison frameworks – e.g., the GHRSST Multiproduct Ensemble
(GMPE) 3 – have been developed at resolutions of 10 km or better for the global
ocean and other regions of interest. An operational High Resolution Diagnostic
Data Set (HR-DDS) 4 has been established for real time inter-comparisons and
validation/verification of GHRSST products allowing real time monitoring of
satellite and in-situ SST data streams.
• A delayed-mode intercomparison framework has been established in conjunction
with the GCOS SST and Sea Ice Working Group to understand the links between
the modern era satellite-based SST record and historical primarily ship-based
SST reconstructions. 5
• Methods to convert between radiometric “skin” SST and the SST at depths measured by ships and buoys have been developed (e.g., Donlon et al., 2002) that are
now used by operational SST analysis systems (e.g., Stark et al., 2007).
• An internationally distributed suite of user focussed services are now provided
in a sustained Regional/Global Task Sharing (R/GTS) framework that addresses
international organisational challenges and recognises the implementing institutional capacities, capabilities and funding prospects. Long term stewardship, user
support and help services including standards-based data management and interoperability have been developed that are manned and operated within the R/GTS
on a daily basis.
• Methods to manage long-term SST data sets, for use in a reanalyses that considers
SST data for the entire satellite era, have begun.
GHRSST has earned broad recognition as the international authority for modernera SST activities because it has successfully built and nurtured a framework in
which the exchange of satellite SST data has flourished and given new life to the
study and application of high-resolution SST using TIR satellite and in-situ data.
3 See http://ghrsst-pp.metoffice.com/pages/latest_analysis/sst_monitor/daily/ens/index.html
4 See http://www.hrdds.net
5 See http://ghrsst.nodc.noaa.gov
C.J. Donlon
include measurement uncertainty estimates for each derived SST value and
supporting auxiliary data sets to facilitate their use by data assimilation systems.
• GHRSST advisory groups have conducted extensive research to ensure that SST
diurnal variability (DV) is properly flagged within observational data; developed
methods to correct for bias in different satellite data sets; provided uncertainty
estimates on a measurement by measurement basis, developed high resolution
sea ice data sets and accurate SST products in the marginal ice zone.
• New cost-effective approaches to an integrated and optimised SST measurement
system have been developed and are used operationally, to reduce bias error
in AVHRR data using targeted global deployment strategies for drifting buoys
(Zhang et al., 2009).
• New SST analysis products using new methods to merge in-situ data with
complementary microwave and infrared satellite data have been developed and
implemented operationally.
• Inter-comparison frameworks – e.g., the GHRSST Multiproduct Ensemble
(GMPE) 3 – have been developed at resolutions of 10 km or better for the global
ocean and other regions of interest. An operational High Resolution Diagnostic
Data Set (HR-DDS) 4 has been established for real time inter-comparisons and
validation/verification of GHRSST products allowing real time monitoring of
satellite and in-situ SST data streams.
• A delayed-mode intercomparison framework has been established in conjunction
with the GCOS SST and Sea Ice Working Group to understand the links between
the modern era satellite-based SST record and historical primarily ship-based
SST reconstructions. 5
• Methods to convert between radiometric “skin” SST and the SST at depths measured by ships and buoys have been developed (e.g., Donlon et al., 2002) that are
now used by operational SST analysis systems (e.g., Stark et al., 2007).
• An internationally distributed suite of user focussed services are now provided
in a sustained Regional/Global Task Sharing (R/GTS) framework that addresses
international organisational challenges and recognises the implementing institutional capacities, capabilities and funding prospects. Long term stewardship, user
support and help services including standards-based data management and interoperability have been developed that are manned and operated within the R/GTS
on a daily basis.
• Methods to manage long-term SST data sets, for use in a reanalyses that considers
SST data for the entire satellite era, have begun.
GHRSST has earned broad recognition as the international authority for modernera SST activities because it has successfully built and nurtured a framework in
which the exchange of satellite SST data has flourished and given new life to the
study and application of high-resolution SST using TIR satellite and in-situ data.
3 See http://ghrsst-pp.metoffice.com/pages/latest_analysis/sst_monitor/daily/ens/index.html
4 See http://www.hrdds.net
5 See http://ghrsst.nodc.noaa.gov