IAOOS EQUIPEX ANR 10 EQPX Ice Atmosphere Arctic Ocean Observing System
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1 EQUIPEX ANR 10 EQPX IAOOS Ice Atmosphere Arctic Ocean Observing System PI: C. Provost LOCEAN, J. Pelon LATMOS 1
2 34 ITP Ice Tethered Profilers IPY The Ice Tethered Profiler data are collected and made available by the ITP program based at the Woods Hole Oceanographic Institution ( (35146 profiles by Nov )
3
4 IAOOS (ice, atmosphere, ocean) Development& Tests 2012, 2013, 2014, 2015 ODS Iridium webcam Lidar IMB Thermistor chain April IAOOS first deployment at the North Pole Pole(Baneo) Full IAOOS Array deployment ANR 10 EQPX 32 01
5 IAOOS CTD ARGO like Ocean Profilers 15 April 21 September 2013 Sensor load (coll. with FP7 Ice Arc) On board the underwater Ocean profiler: CTD Dissolved Oxygen Bio optics Rem A pack * (tested) Nitrates (development) ph (development) Aquascat (development) below sea ice (on board the surface buoy) pco2+ph (development) * Radiometer (3 ), Photosynthetic Active Radiation ( nm), Chlorophyll fluorescence, CDOM fluorescence, Backscattering detector (700nm) Piotr Kuklinski
6 IMB SAMS : April Sept North Pole Fram Strait Passive mode>>temperature: air,snow, ice and upper ocean Active mode>>interfaces: air/snow, snow/ice, ice/ocean Sea Ice freeboard/draft: IMB + ULS
7 2014 drift : microlidar first results Set of profiles obtainedduringbarneo 2014 : 4 periodsdepending on buoy tilt period 1 period 2 period 3 period 4 3 Aerosol transport in April and large occurrence of clouds otherwise Despite the built in heating system, frequentperiods of icing of the windowmostly in the autumn altitude (km) date (Julian) 1.4 Cloudiness monitoring stilleasilyfeasible (signal threshold) : high occurrence of verylow dense clouds below 1 km (~60%) (largerthanfrompreviouscampaign (SHEBA)) probability density base altitude (km) 12/04/2015 ANR 10 EQPX 32 01
8 Humidity (ERA I and WRF/GFS) altitude (km) altitude (km) RH ECMWF date (Julian) RH WRF date (Julian) J C Raut, T. Onishi, et V. Mariage OK
9 altitude (km) Atmospheric Simulations (WRF) Cloud fraction (April June 2014) IAOOS observations date altitude (km) WRF Simulations Cloud fraction date (Julian) J C Raut, T. Onishi et V. Mariage, LATMOS
10 Comparison of Measured/Analyzed Surface Parameters temperature(k) ECMWF (10m) IAOOS measurements (2m) WRF/GFS (2m) GFS (surface) date
11 : starting the IAOOS array deployment ANR 10 EQPX While pursuing technological developments (new sensors, icing, energy, transmission)
12 IAOOS contributions to YOPP IAOOS General areas of interest: Atmosphere, sea ice and Ocean Observing for modelling The atmospheric and oceanic boundary layers The energy budget of sea ice and snow Ocean biogeochemistry Atmospheric chemistry (aerosols) Clouds IAOOS Specific areas of interest: process studies for understanding air sea ice interactions and parameterisation for modelling Sea ice thickness distribution Sea ice freeboard Brines release in the ocean and in the atmosphere (frost flowers) Frazil ice formation (deep ice) Upper ocean processes Double diffusive convection in the main ocean thermocline Mixed phase clouds Optical depth (atmosphere)
13 Expectations and Recommendations for YOPP 1/ Strong coordination for air sea ice interaction process studies in polar regions? Developing synergies between disciplines. 2/ Optimal definition for key variables (ECV) to be observed and assimilated in models (sampling schemes both in time and space for upper ocean, ice and lower atmosphere) for polar regions 3/ Strong integration between observations and modelling activities in polar oceans 4/ Strong interaction between in situ observations and space observations (ground truth, cal/val etc..) for supporting polar research activities 5/ Strong support for new sensors and new technology development including polar ocean biogeochemistry and atmosphericchemistry 6/ Strong support for autonomous, unattended and automated ice tethered drifting stations 7/ Strong support for international coordinated activities in polar regions 8/ Strong support for dedicated field work experiments (Arctic Drift) aiming at improving understanding of key processes driving weather and climate in polar regions at Pan Arctic (Antarctic) to hemispheric scales 9/ Strong involvment of Arctic local communities in YOPP activities 10/ Strong involvment of young scientists (APECS) in YOPP activities
14 IAOOS contribution to YOPP Lagrangian composite daily vertical profiles of ECV throughout the upper ocean, sea ice and lower atmosphere based on 15 co located atmosphere ice ocean observing stations (the IAOOS platform) deployed in the deep basin of the Arctic Ocean for 4 years ( ) IAOOS expectation for YOPP Data sharing for developing synergies between oceanographers, meteorologists, glaciologists for process studies and data assimilation in large scale numerical models How YOPP could help in the process? IAOOS recommendation to YOPP YOPP focusing on linkages between polar regions and mid latitudes rather than limited to polar issues per se. Polar research being isolated in the past, is not the case anymore. Is there an ENSO equivalent for the Northern hemisphere? Emphasizing bipolarity aspect. What about the trigger hypothesis: The Barents Low, The Greenland High, the Siberian Snow
15 Thank you
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