Integrated SAR and lidar observations of the sea ice cover: Resolving the contributions of thermodynamics and dynamics to ...
Arctic Ocean ice cover<br />Ice thickness distribution<br />Expression of dynamics (ice motion) and thermodynamics (growth...
Arctic Ocean sea ice cover<br />
Ice thickness distribution:Interplay of Dynamics and Thermodynamics<br />
Model Development/Improvements/Validation<br />Process Studies<br />Ice Mechanics/Ice-ocean interactions<br />Deformation-...
Present Observational Capability ofIce motion and thickness<br />
Ice Drift (Large scale forcing -> small-scale response)<br />2000 km<br />100 km<br />L<br />(Kwok, 2002)<br />Gradients i...
Small-scale kinematics and ice production<br />One Grid Cell<br />Grid Cell Area<br />10 km<br />10 km<br />Uncertainty in...
Small-scale (~km) deformation alongfracture zones<br />
Animation of small-scale sea ice kinematics<br />
Freeboard, snow depth and ice thickness<br />air<br />air<br />snow<br />Freeboard (ice / snow)<br />sea surface<br />sea ...
ICESat (profiling lidar) and RADARSAT (image)<br />ICESat track on RADARSAT image <br />Δt = 1 day<br />freeboard<br />dra...
Winter sea Ice thickness from ICESat<br />04<br />05<br />06<br />07<br />08<br />Greenland<br />Greenland<br />Greenland<...
Trend in winter sea ice thickness:2004-2009<br />MY fraction<br />Thickness (m)<br />0.8 m<br />Between 04-09<br />Trend =...
Limitations of current capabilities<br />High resolution ice motion<br />Synthetic Aperture Radars <br />RADARSAT not long...
Sea ice observations with DESDynI<br />DESDynI Mission<br />Synthetic Aperture Radar<br />High-res imagery<br />Coverage o...
DESDynI SAR and lidar allow<br />Coordinated observations/mapping of motion and thickness at length and time scales import...
Simulations with Elastic-Decohesion Approach  <br />
Joint project of the Alaska Satellite Facility and the Jet Propulsion Laboratory <br />Continuation of REASoN project<br /...
Persistence in fracture patterns<br />
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WE2.L09 - Integrated SAR and lidar observations of the sea ice cover: Resolving the contributions of thermodynamics and dynamics to the ice thickness distribution

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  • WE2.L09 - Integrated SAR and lidar observations of the sea ice cover: Resolving the contributions of thermodynamics and dynamics to the ice thickness distribution

    1. 1. Integrated SAR and lidar observations of the sea ice cover: Resolving the contributions of thermodynamics and dynamics to the ice thickness distribution <br />Ron Kwok, <br />Jet Propulsion Laboratory<br />California Institute of Technology <br /> IGARSS-2010<br />Honolulu, HI<br />July 25-30<br />
    2. 2. Arctic Ocean ice cover<br />Ice thickness distribution<br />Expression of dynamics (ice motion) and thermodynamics (growth and melt)<br />Present observational capabilities<br />Motion and thickness<br />Observational requirements<br />Coupled observation of motion and thickness at appropriate time scales<br />Outlook - DESDynI<br />Topics<br />
    3. 3. Arctic Ocean sea ice cover<br />
    4. 4. Ice thickness distribution:Interplay of Dynamics and Thermodynamics<br />
    5. 5. Model Development/Improvements/Validation<br />Process Studies<br />Ice Mechanics/Ice-ocean interactions<br />Deformation-induced ice production<br />Ocean interactions<br />Sea ice area/volume balance<br />Ice growth and melt<br />Ice export<br />Fram Strait, Nares Strait, Canadian Arctic Archipelago<br />Narrow passages<br />Arctic Ecology <br />Ice motion and thickness observations<br />
    6. 6. Present Observational Capability ofIce motion and thickness<br />
    7. 7. Ice Drift (Large scale forcing -> small-scale response)<br />2000 km<br />100 km<br />L<br />(Kwok, 2002)<br />Gradients in large-scale surface wind stress is often concentrated along quasi-linear fractures hundreds of kilometers long.<br />
    8. 8. Small-scale kinematics and ice production<br />One Grid Cell<br />Grid Cell Area<br />10 km<br />10 km<br />Uncertainty in displacement requirement: 300 m<br />
    9. 9. Small-scale (~km) deformation alongfracture zones<br />
    10. 10. Animation of small-scale sea ice kinematics<br />
    11. 11. Freeboard, snow depth and ice thickness<br />air<br />air<br />snow<br />Freeboard (ice / snow)<br />sea surface<br />sea ice<br />thickness<br />draft<br />sea water<br />sea water<br />
    12. 12. ICESat (profiling lidar) and RADARSAT (image)<br />ICESat track on RADARSAT image <br />Δt = 1 day<br />freeboard<br />draft<br />meters<br />*Reference thickness estimated using ice age from RGPS<br />
    13. 13. Winter sea Ice thickness from ICESat<br />04<br />05<br />06<br />07<br />08<br />Greenland<br />Greenland<br />Greenland<br />Greenland<br />Greenland<br />Thickness (m)<br />(Kwok et al., 2009)<br />MY = all ice with MY fraction>50%<br />
    14. 14. Trend in winter sea ice thickness:2004-2009<br />MY fraction<br />Thickness (m)<br />0.8 m<br />Between 04-09<br />Trend = -0.20 m/yr<br />
    15. 15. Limitations of current capabilities<br />High resolution ice motion<br />Synthetic Aperture Radars <br />RADARSAT not longer available, Envisat covers only part of the Arctic<br />Need routine and reliable coverage of entire Arctic Ocean<br />Sea ice thickness<br />Freeboard from lidars<br />ICESat provided only glimpses of the ice cover (twice a year); mission ended last year<br />CryoSat-2 is now operational <br />No coordinated acquisitions of ice motion and thickness<br />
    16. 16. Sea ice observations with DESDynI<br />DESDynI Mission<br />Synthetic Aperture Radar<br />High-res imagery<br />Coverage of Arctic Ocean every 3-4 days <br />Multi-beam Lidar<br />25 m spots <br />Near simultaneous coverage of the sea ice cover below 82 N<br />Monthly coverage of Arctic Ocean<br />Allows coupled observation of ice motion and thickness <br />
    17. 17. DESDynI SAR and lidar allow<br />Coordinated observations/mapping of motion and thickness at length and time scales important for resolving the thermodynamic and dynamic processes<br />Data products for<br />Monitoring of the changes in the relative proportions of these processes associated with changing climate<br />Model validation/assessments/improvements<br />Assimilation into global and regional models<br />Improved projection of global climate<br />Conclusions<br />
    18. 18.
    19. 19. Simulations with Elastic-Decohesion Approach <br />
    20. 20. Joint project of the Alaska Satellite Facility and the Jet Propulsion Laboratory <br />Continuation of REASoN project<br /> Project Objectives<br />To produce fine-scale sea ice motion ESDRs for the years 2004 through 2008. These products will add to the 7-year record of RADARSAT-1 data.<br />To produce 3-day ice motion ESDRs of the northern Bering Sea from 1997-2008. <br />To produce a record of high-resolution (100 m) image mosaics of the Arctic Ocean from 1991-2008 using available ERS-1, ERS-2, and RADARSAT-1 SAR imagery.<br />To distribute, archive, and provide user services to promote and support the wide-spread use of these ESDRs.<br />Project Overview<br />6-day deformation fields of the Arctic Ocean ice cover<br />
    21. 21. Persistence in fracture patterns<br />
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