Name OceanFlux GHG
Title ESA-SOLAS OceanFlux Greenhouse Gasses
Thematic Area Ocean
Cost 300 - 400 K
Action Line International Scientific Cooperation
Status In Progress
Missions ERS-1, ENVISAT, TOPEX-POSEIDON, JASON, AQUA (EOS PM-1), GOSAT, ERS-2, QuikSCAT, CryoSat-2
Sensors MERIS, AATSR, RADAR ALTIMETER 2, MODIS, ASCAT
Objectives The aim of the OceanFlux GHG study is: To improve quantitative air-sea flux estimates of CO2 and other greenhouse gases using EO data in synergy in the Atlantic Ocean. The objectives of the OceanFlux GHG study are to investigate the application of EO data in the Atlantic Ocean and European Shelf Seas and: 1. Develop novel or existing methodologies/algorithms and create new products derived from the use of EO data, in situ data and modelling for use by the SOLAS and other communities. 2. Estimate and reduce uncertainty in conventional gas transfer computations relative to EO driven computations, 3. Compute air sea gas transfer flux calculations using satellite derived mean square slope (MSS) estimates including a validated estimate of uncertainty, 4. Compute air sea gas transfer flux calculations using satellite derived surface waves and swells (white-capping) on bubble mediated gas transfer in high wind speed regimes including a validated estimate of uncertainty, 5. Compute the impact of biogenic surface slicks on EO derived air sea gas transfer flux calculations and their uncertainties, 6. Compute the impact of diurnal variability in SST, wind and other variables on EO derived air sea gas transfer flux calculations and their uncertainties, 7. Exploit modelling frameworks in synergy with satellite and in situ data to develop more dynamic and accurate estimates of air sea gas transfer on a sub-weekly timescale (including ecosystem components) and alleviate dependencies associated with the use of climatological data sets. The expected benefits from the study are: 1. New dynamic and accurate estimates of GHG air sea gas transfer on a sub-weekly timescale based on the synergy between EO data, in situ data and models, 2. Improved understanding of the spatial and temporal variability in GHG air-sea gas transfer and the underlying processes governing flux rates, 3. New multi-sensor EO algorithms capitalising on the synergy between complementary EO data sets, 4. Novel data products and supporting documentation for use by the SOLAS and air-sea interaction community, 5.Enhanced use and uptake of ESA and other Third Party EO Mission data by the SOLAS and air-sea interaction community, 6.New NOP model systems tuned to air-sea interaction and the carbon cycle, 7. A clear scientific roadmap for future activities to improve the quantitative understanding of the carbon cycle.
The objectives of the OceanFlux GHG study are to investigate the application of EO data in the Atlantic Ocean and European Shelf Seas and: 1. Develop novel or existing methodologies/algorithms and create new products derived from the use of EO data, in situ data and modelling for use by the SOLAS and other communities. 2. Estimate and reduce uncertainty in conventional gas transfer computations relative to EO driven computations, 3. Compute air sea gas transfer flux calculations using satellite derived mean square slope (MSS) estimates including a validated estimate of uncertainty, 4. Compute air sea gas transfer flux calculations using satellite derived surface waves and swells (white-capping) on bubble mediated gas transfer in high wind speed regimes including a validated estimate of uncertainty, 5. Compute the impact of biogenic surface slicks on EO derived air sea gas transfer flux calculations and their uncertainties, 6. Compute the impact of diurnal variability in SST, wind and other variables on EO derived air sea gas transfer flux calculations and their uncertainties, 7. Exploit modelling frameworks in synergy with satellite and in situ data to develop more dynamic and accurate estimates of air sea gas transfer on a sub-weekly timescale (including ecosystem components) and alleviate dependencies associated with the use of climatological data sets.
The expected benefits from the study are: 1. New dynamic and accurate estimates of GHG air sea gas transfer on a sub-weekly timescale based on the synergy between EO data, in situ data and models, 2. Improved understanding of the spatial and temporal variability in GHG air-sea gas transfer and the underlying processes governing flux rates, 3. New multi-sensor EO algorithms capitalising on the synergy between complementary EO data sets, 4. Novel data products and supporting documentation for use by the SOLAS and air-sea interaction community, 5.Enhanced use and uptake of ESA and other Third Party EO Mission data by the SOLAS and air-sea interaction community, 6.New NOP model systems tuned to air-sea interaction and the carbon cycle, 7. A clear scientific roadmap for future activities to improve the quantitative understanding of the carbon cycle.
Project Partners NHC : North Highland College(Prime contractor)PML : Plymouth Marine Laboratory(Subcontractor)IFREMER : Institut Francais pour la Recherche et l'Exploitation de la MER(Subcontractor)NOC : National Oceanography Centre(Subcontractor)
Project Manager Dr. Jamie Shutler Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth, UK. PL1 3DH Tel: +44 1752 633100 Fax: +44 1752 633101 email: jams@pml.ac.uk
Technical Officer Craig Donlon