Arctic ROOS Foundation Meeting Luleå 18-19 December 2007 Nansen International Environmental and...
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Transcript of Arctic ROOS Foundation Meeting Luleå 18-19 December 2007 Nansen International Environmental and...
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Nansen International Environmental and Remote Sensing Centre (NIERSC)
St. Petersburg, Russia
Arctic ROOS relevant activities
Leonid P. Bobylev
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
NIERSC Vision and Strategy
Vision
To understand, monitor and predict climate and environmental changes in the high northern latitudes for serving the society
Mission
To develop Nansen International Centre to be a significant national and international contributor to the studying climate and environmental changes in the high northern latitudes. NIERSC focuses on the four major related research areas:
1 Climate Variability and Change in High Northern Latitudes
2 Atmosphere-Ocean Interaction
3 Aquatic Ecosystems in Response to Global Change
4 Applied Meteorological and Oceanographic Research for Industrial Activities
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
NIERSC current and planned project activities relevant to the Arctic
ROOS
INTAS DEMOSSS (2007-2009)
MONRUK (2007-2009)
DAMOCLES TTC (2006-2009)
MAREBASE (2008-2011)
MyOcean/Arctic Marine Core Services (2008-
2010)
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Development of marine oil spills/slicks satellite monitoring
system elements targeting the Black/Caspian/Kara/Barents
Seas
INTAS DEMOSSS (2007-2009)
Partners:
NERSC (Bergen, Norway)
BOOST (Brest, France)
University of Hamburg (Germany)
NIERSC (St. Petersburg, Russia)
Institute of Applied Physics
(Nizhny Novgorod, Russia)
Marine Hydrophysical Institute
(Sevastopol, Ukraine)
AARI (St. Petersburg, Russia)
NTsOMZ (Moscow, Russia)
Overall goal:
To develop and demonstrate components of marine oil spill
detection and prediction system based on satellite SAR and
other data in combination with models for oil spill/slick
monitoring, prediction and assessment of their impact on
environment
Results:
prototype of marine environment information service in
Black/Caspian/Kara/Barents Seas as a part of GMES
monitoring of oil spills/slicks in the Black/Caspian/
Kara/Barents Seas based on ENVISAT ASAR and optical
data
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Monitoring the marine environment in Russia, Ukraine and
Kazakhstan using Synthetic Aperture RadarMONRUK (2007-2009)
Partners: NERSC (Bergen, Norway)
Coastal and Marine Resources Centre
(Ireland)
BOOST (Brest, France)
NIERSC (St. Petersburg, Russia)
Marine Hydrophysical Institute
(Sevastopol, Ukraine)
Center of Astrophysical Research
(Kazakhstan)
JRC/IPSC (Ispra, Italy)
NTsOMZ (Moscow, Russia), through
NIERSC
Overall goal:
To develop and implement satellite SAR monitoring of marine
environment in Russia, Ukraine and Kazakhstan as component of
GMES
Specific objectives:
Develop algorithms for retrieval of marine geophysical parameters from SAR images including open ocean and sea ice
Improve forward modelling of sea surface radar scattering
Apply retrieval algorithms and radar scattering models for improved quantification of sea surface parameters with focus on oil spill an sea ice monitoring
Establish service chains for SAR monitoring in Northern Sea Route, Black and Caspian Seas
Develop and implement user-friendly, harmonized, pan-European, interoperable system to access data and information about marine environment based on web map server technology
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Developing Arctic Modelling and Observing Capabilities for Long-term Environment Studies
DAMOCLES TTC (2006-2009)
NIERSC tasks:
Ice thickness: statistics of ice thickness, freeboard and density, and snow thickness from Russian archived data
from previous expeditions
Sea ice types and properties:
improvement of ice type classification and MY ice retrieval based on passive microwave and
scatterometer data using Neural Network approach and introducing ice surface temperature fields
into retrieval process
studying ice drift from Russian satellite data (Okean SLR and optical/IR)
Sea ice and snow thermodynamics:
expeditions onboard Russian (?) research vessels with measurements of temperature and albedo
of sea ice and snow as well as in situ microwave radiometer measurements for validation of
developed retrieval algorithms
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Maritime Resources of the Barents Sea: Satellite data driven monitoring in the context of increase of commercial efficiency
of the fishery MAREBASE (2008-2011)
Partners:
NERSC, Bergen, Norway
NIERSC, St. Petersburg, Russia
Polar Research Institute of Marine Fisheries and Oceanography (PINRO), Murmansk, Russia
Russian State Hydrometerological Univercity (RSHU), St. Petersburg
Overall objective:
To advance capability to monitor the Barents Sea maritime
resources in the context of increase of commercial efficiency of
fishery
Specific objectives:
Development and validation of satellite SAR and optical data driven
method for detection and monitoring marine processes and
phenomena (e. g. fronts, current convergence and divergence)
associated with zones of enhanced biological productivity
Performance of pilot monitoring of Barents Sea based on satellite and
aircraft data, hydrodynamic and ecosystem modeling, and in situ
observations on hydrological and biological (zooplankton, fish)
parameters
Development of a prototype of satellite data driven monitoring system
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Development and pre-operational validation of upgraded GMES Marine Core Service and capabilities
MyOcean (2008-2010)
Partners:
NERSC, Bergen, Norway
MetNo, Oslo, Norway
IMR, Bergen, Norway
NIERSC, St. Petersburg, Russia
AARI, St. Petersburg, Russia
WP 5.5. Arctic MFC Calibration/Validation and quality insurance
Objective:
To document quality of Arctic MFC, monitor its evolution with respect to user requirements, assist users in their interpretation of results and provide recommendations for upcoming observations programs and model R&D actions
Monitor Arctic MFC system in operation
WP5 – Arctic Monitoring and Forecasting Centre (MFC)
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Arctic ocean and sea ice parameters relevant to the Arctic ROOS: NIERSC
contribution
Sea ice: types concentration drift
Icebergs: detection
Ocean surface features: current and temperature fronts eddies internal waves swell
Oil spills: detection area evolution
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Main Tools
SAR-image analysis (ocean, oil spills): Radar Imaging Model (RIM) - NIERSC
Atmospheric Boundary Layer Model (ABL) - NIERSC
SARTool - BOOST Technologies
Oil spill monitoring: Oil spill Model for the Arctic Seas (OilMARS) - AARI
Sea ice monitoring: SAR NN-based algorithm for ice type classification – NIERSC
Improved passive-active microwave algorithm for ice concentration retrieval
(NORSEX + Scatterometer) – NIERSC
New passive microwave NN-based algorithm for ice concentration retrieval - NIERSC
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
St.Petersburg, Russia
Input: current velocity, SST, geostrophic wind and free atmosphere temperature
Observed frontal feature
Measured NRCS contrast
Atmospheric Boundary Layer model output
Wave spectrum transformation model output: Bragg spectrum, MSS, Wave Breaking
NRCS model outputco
mp
aris
on
Radar Imaging Model (RIM)
Advanced model tool to simulate SAR
signatures of various ocean surface
phenomena
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Examples of products from SARTool
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
OilMARS (Oil spill Model for the Arctic Seas)
OilMARS input:
NCEP/NCAR Reanalyzes database
Wind velocity and direction
3-D dynamic-thermodynamic model of ocean
circulation (I. Neelov)
Surface water circulation Surface water temperature and salinity Ice concentration and drift
Wind wave model (I. Lavrenov)
Heights of wind waves Periods of wind waves Direction of wind waves propagation
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
SAR Neural Network-based algorithm for ice type classification
ENVISAT ASAR image for 23.04.2007 Canadian Arctic
Image classification:
red – multiyear ice
green – level first-year ice
blue – rough first-year ice
MY-ice
FY-ice
Rough Level
Erroneous classification Erroneous classification caused by lack of angle caused by lack of angle
correctioncorrection
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Comparison of multi-year ice boundaries derived from scatterometer and AARI’s ice chart (30
March 2006)
NilasFirst-year iceMulti-year ice
QuikSCAT (IFREMER) SSM/I (NORSEX)AARI Ice Chart
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
SSM/I mapping of multi-year ice with its SSM/I mapping of multi-year ice with its boundary correction from scatterometer databoundary correction from scatterometer data
Corrected SSM/I Multi-year ice map
November2005
Multi-year ice
from scatterometer Multi-year ice
from SSM/I NORSEX
January 2006
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Development of Neural Network (NN) -based algorithm for ice concentration retrievals
Brightness temperature calculations
Dataset of simultaneous meteorological and ice data
Atmosphere-Ice-Ocean System (AIOS) Model
Model of microwave radiation transfer in AIOS
Model sensitivity study Optimal NN-configuration development
NN-algorithm for FY and MY ice concentration retrieval
NN-algorithm validation using SAR-imagery
Arctic ROOS Foundation Meeting Luleå 18-19 December 2007
Iceberg detection in SAR and visible images
ENVISAT ASAR sub-image for April 5, 2006
Landsat sub-image for April 14, 2006
““Monitor-E” sub-image for April 7, 2006Monitor-E” sub-image for April 7, 2006