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A new look at the new Arctic sea ice cover

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Presentation on theme: "A new look at the new Arctic sea ice cover"— Presentation transcript:

1 A new look at the new Arctic sea ice cover
Multidisciplinary drifting Observatory for the Study of Arctic Climate Snow and Sea Ice A new look at the new Arctic sea ice cover

2 Winter, spring, summer, and fall in the new Arctic Ocean
A year long time series Winter, spring, summer, and fall in the new Arctic Ocean

3 Of every available ice type
First year ice Multiyear ice Ridges Winter leads Summer leads Melt ponds Examine spatial variability as well as temporal evolution

4 Snow and Sea Ice: Connections
Modelling Physical properties Atmosphere Mass balance Ice dynamics and mechanics Thickness Remote Sensing Ocean Optics Ponds and leads Bio- Geochemistry Ecosystem Sea ice is a great integrator in the middle of everything

5 Snow and Sea Ice Sub-Topics
Physical Properties of Sea Ice Temperature, Salinity, Density, Texture, O18 Ice cores, Salt and oxygen harps Porosity Multi-frequency EM Archive samples Coring Properties of Snow Pack Grain size, specific surface area Snow pits Stratigraphy and micro-structure Snow pits, Computer Tomography Density, hardness, snow-water equivalent Penetrometer, snow pits, snow fork Temperature Thermistor chains, manual profiles, IR surface temperature Black carbon and chemical properties Sun Photometer

6 Snow and Sea Ice Sub-Topics
Mass Balance of Sea Ice and Snow Sea ice thickness, snow depth, freeboard EM transects, Magna Probe, snow radar, stakes, hot wires Ice growth, surface, bottom ,lateral melt Stakes, ROV multi-beam Surface topography LIDAR, particle counters Floe size distribution Photo cameras, ship radar Ice Dynamics and Mechanics Deformation and Shear Ship radar Position High resolution position (GNSS) Stress and Strain Strain gauge, sensors on Polarstern 3D ridges Structure by motion, ROV multibeam, UAV with LIDAR, surface laser scanning

7 Snow and Sea Ice Sub-Topics
Ice and Snow Optics Spectral albedo Radiation stations, transects, airborne hyper-spectral camera Spectral transmission and PAR Radiation stations, transects, ROV In ice spectral irradiance profiles Radiation stations, light harp Absorption in ice algae and upper ocean Sampling, stations, ROV, and profiling

8 Snow and Sea Ice Sub-Topics
Melt Ponds Depth, geometry and coverage Surveys, stereo cameras, cameras, hyperspectral cameras Surface roughness and false bottoms LIDAR, ROV mutli-beam and video Surface temperature IR temperature (KT19) Salinity and water properties Sampling Leads Ice growth in winter Thickness gauges, autonomous stations Thermohaline structure Sampling Heat content Horizontal and vertical profiles of T,S Lateral melt Surface measurements, aerial photographs

9 Intensive Observation Periods (IOPs)
Freeze-up & Ice Growth Sea ice dynamics Snow properties Sea ice optics & Melt processes Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep MOSAIC End MOSAIC Start Intensive study of particular properties and processes

10 Distributed Observations
Buoys Drift and deformation array All buoys with GPS Stress Stress gauges Wave interaction Wave buoys, tiltmeters Sea ice thickness IMB (CRREL and thermistor) Snow depth Snow Buoys, IMB (CRREL and thermistor) Temperature (snow/ice, air, surface) Snow Buoys, IMB, SVP, Weather Station Surface conditions Camera Buoys, IMB thermistor, ITP Radiation Radiation stations, weather stations Other: Atmosphere, Ocean, Eco, BGC Other teams Possible setup example Extending the Central Observatory

11 Berth concept and activity planning
Snow and Sea Ice Team: total 8 berths Sample schedule for spring Ambitious plan with a team approach

12 Snow and Sea Ice Modelling
Numerical Modelling Contribute to Sea Ice Outlook (seasonal timescale) Use MOSAiC observations to improve data assimilation Develop a complex 1-D thermodynamic snow/sea ice/upper ocean model, possibly to include bio-geo-chemistry Apply a 3-D snowpack model to sea ice Parameterize sea ice/snow/mixed layer processes for a 3-D model Improve albedo treatment in Community Earth System Model Implement improved components into coupled climate model Models informing observations to improve parameterizations

13 MOSAiC: Snow and sea ice
Thanks to many people for many contributions

14

15 Questions to be answered
Instruments used and responsible lead Measured parameters: spatial and temporal over 4 Parameters used for model applications Time schedule for measurements (weekly, monthly, seasonal) Coordinated measurements for crosscutting events (fronts, blooms, etc.)

16 XX Other things I thought of
List some key partners with names here and there Have some rough statement that we are extremely tight with the berth. I will still try to argue that for the ROV and the Helicopter, we get another berth or can give these people into a common pool Need to acknowledge all the great contributions from the community already Writing proposals Participating in meetings Promoting MOSAiC etc Show some more links to other teams (there is only the one slide in the beginning) Also highlight our central role in organizing the different “infrasturctures”: Central observatory Helicopters Ground tuthing of RS ROV Need to add more modelling from the model table May be add a statement on the amount of funded work


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