Norway leading the way in observing the new Arctic system
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- Megan Bailey
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1 Norway leading the way in observing the new Arctic system
2 Gathering time series from the high Arctic The challenge of moving ice
3 1890s Fram 1990s SHEBA
4 Upcoming large international ship-based drift Great datasets from theses projects
5 Upcoming large international ship-based drift Great datasets from theses projects, but complicated and infrequent
6 Russian activities often skipped the ship
7 Russian activities often skipped the ship But these drifts have been getting shorter in recent years
8 Barents Observer 21 Mar 2014
9 N-ICE will be a hybrid of cruise and drift Scale up a traditional cruise to get many of the benefits of a drift, with fewer challenges Study the Arctic system with its now thin, firstyear ice cover R/V Lance as the base Repeated 6-week to 3-month drifts north of Svalbard from January through June 10 ship s crew and science crew
10 Late July 1998, SHEBA Late July 2012
11 Late July 1998, SHEBA Late July 2012 Sunlight incident on the region was Change Reflected: 55% 45% 18% Absorbed: 30% 35% +17% Transmitted: 15% 20% +33% Changes are not due to a decrease in ice cover (normal ice-albedo feedback), but to a change in ice cover (ice-age albedo feedback)
12 WP 1: Upper ocean sea ice interaction Lead: L. H. Smedsrud, BCCR & UiB; A. Sundfjord, NPI Understand how available ocean heat is mixed upwards, towards the sea ice, and to what extent it influences the sea-ice energy budget. Background oceanography datasets, CTD, tracers, currents, etc.
13 WP2: Atmosphere-ice-ocean interaction, radiation Lead: S. Hudson, M. Granskog (NPI) Understand the fate of solar radiation incident on the first-year sea ice in the region and how that is affected by properties of the atmosphere, snow, ice, and ocean. Understand atmospheric processes governing the longwave radiation budget
14 WP2: Atmosphere-ice-ocean interaction, atmosphere Lead: S. Hudson (NPI) and V. Walden (WSU) Understand regional atmosphere-ice-ocean feedbacks, related to surface and atmosphericboundary-layer processes. Understand cloud properties and impacts Provide background met data in real time
15 WP3: Sea-ice and snow mass balance Lead: S. Gerland (NPI) and G. Liston (Colorado) Quantification of the changing mass balance of Arctic sea ice and its snow cover, with consideration of feedback processes amplifying or reducing the speed of changes, for assessing the relevance of mass balance changes for the treatment of sea ice in climate models.
16 WP4: Sea-ice dynamics Lead: N. Hughes (Met.no) and G Spreen (NPI) High-precision, continuous observations of regional scale sea-ice drift and deformation to evaluate and improve satellite-derived drift datasets and model simulations and for investigating the impact on ice development and on atmospheric and oceanic interactions.
17 WP5: The ice associated ecosystem Lead: P. Duarte (NPI) Describe, and understand how the underlying physical factors shape thee ice associated ecosystem in order to be able to model its response to a warmer climate
18 path / power On-ice plan Main instrument setups on the ice include RAD EC WS CTD/MSS tent MSS profiler with winch, logging (WP1) CTD & rosette/niskin (WP1,2,5) a-sphere (optics profiler, WP2) Winch(es) &Heater & power TIC hut + vicinity (WP1) TIC - Turbulence cluster (loggers inside hut) ACDP(s) TS-string /profiler pco2-sensor (WP5) Heater & power min 80 m Tent (CTD+MSS) ~50 m TIC Hut ~300 m WS - Weather station 10 m mast & radiation EC - Eddy covariance system 3 m mast atmosphere (radiation+co2 flux) RADiation (spectral and integrated SW/LW sensors incident & reflected, transmitted SW)
19 NPI-coordinated and Norwegian-funded (NPI, ICE, KLD, UD) but with a lot of national and international collaboration UiB: GFI (internal waves, post doc. and equipment), IFT (modelling atmosphere, sea ice and atmosphere radioation) NTNU: AMOS, SamCOT (ROV, UAV, sensor development) iaoos: 2 autonomous buoys, CTD, ice parameters and LIDAR AWI: Radiosondes and receiving eq., PhD student KOPRI: Radiosondes, EC system ICE-ARC BAS/EU: 10 IMB / GPS buoys, 1 week Dash 7 BAS: Atmospheric chemistry FMI: Digitizing radar to measure with high resolution ice movement and deformations ice stress buoy, 2 IMB buoys FEI: macro molecules deposited in bacteria AARI: under development (UAV upper atmosphere measurements and high resolution images of sea ice.)(ud financed) CIRA (ColoState) : snow modeling (UD financed) NORUT:CICCI3 (UAV campaign) Hokkaido Univ: CO2 in flux in sea ice CRREL, ved Don Perovich, ice mass balance and radiation buoys Washington State univ., ved Von Walden, cloud-radiation interactions (lidar) U. of Manitoba: ROV, radiation-biology interaction
20 R/V Lance Launched in 1978 as a combined fishing and sealing vessel for arctic waters. Acquired by he Norwegian Hydrographic Service in 1981, rebuilt as a hydrographic survey vessel also suitable for research and expeditions Rebuilt again in 1992 to meet requirements for research expeditions in the Antarctic and the Arctic. Acquired by the Norwegian Polar Institute in 1994 Length 60,8 meter Width 12,6 meter Displacement 2370 tons Certified for world wide operations Certified for operations in severe ice conditions Crew 9-10 Up to 30 scientists 600 cbm of fuel
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23 And beyond Lots of analysis and publication of data and results 7 two-year postdocs directly tied to the project Additional postdocs and PhD students on external projects who will work closely with the data Model development with regional climate model (AWI), ecosystem model (NPI), operational ice forecasting model (Met.no), snow model (Colorado), and hopefully more
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