NIERSC-presentation - Arctic Regional Ocean Observing System

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Transcript NIERSC-presentation - Arctic Regional Ocean Observing System

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:
Overall goal:

NERSC (Bergen, Norway)

BOOST (Brest, France)

University of Hamburg (Germany)

NIERSC (St. Petersburg, Russia)

Institute of Applied Physics

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
(Nizhny Novgorod, Russia)
Results:
Marine Hydrophysical Institute
 prototype of marine environment information service in
Black/Caspian/Kara/Barents Seas as a part of GMES
(Sevastopol, Ukraine)

AARI (St. Petersburg, Russia)

NTsOMZ (Moscow, Russia)
 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 Radar
MONRUK (2007-2009)
Overall goal:
Partners:

NERSC (Bergen, Norway)

Coastal and Marine Resources Centre
(Ireland)

BOOST (Brest, France)

NIERSC (St. Petersburg, Russia)

Marine Hydrophysical Institute
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
(Sevastopol, Ukraine)

Center of Astrophysical Research
(Kazakhstan)

JRC/IPSC (Ispra, Italy)

NTsOMZ (Moscow, Russia), through
NIERSC
 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:
Overall objective:

NERSC, Bergen, Norway
To advance capability to monitor the Barents Sea maritime

NIERSC, St. Petersburg,
Russia
resources in the context of increase of commercial efficiency of
Polar Research Institute
of Marine Fisheries and
Oceanography (PINRO),
Murmansk, Russia
Specific objectives:

fishery
 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)

Russian State
Hydrometerological
Univercity (RSHU), St.
Petersburg
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)
WP5 – Arctic Monitoring and Forecasting Centre (MFC)
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
Arctic ROOS Foundation Meeting
Luleå 18-19 December 2007
Arctic ocean and sea ice parameters relevant
to the Arctic ROOS: NIERSC contribution
Ocean surface features:




current and temperature fronts
eddies
internal waves
swell
Oil spills:
 detection
 area
 evolution
Arctic ROOS Foundation Meeting
Sea ice:



types
concentration
drift
Icebergs:
 detection
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
Radar Imaging Model (RIM)
Observed
frontal feature
Input: current velocity, SST, geostrophic wind and
free atmosphere temperature
Atmospheric Boundary
Layer model output
Wave spectrum transformation model output: Bragg
spectrum, MSS, Wave Breaking
Measured NRCS
contrast
NRCS model output
comparison
Arctic ROOS Foundation Meeting
Advanced model tool to
simulate SAR
signatures of various
ocean surface
phenomena
Luleå 18-19 December 2007
St.Petersburg, Russia
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
MY-ice
FY-ice
Level
Erroneous classification
caused by lack of angle
correction
Rough
ENVISAT ASAR image for 23.04.2007
Canadian Arctic
Image classification:
red – multiyear ice
green – level first-year ice
blue – rough first-year ice
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)
QuikSCAT (IFREMER)
AARI Ice Chart
SSM/I (NORSEX)
Nilas
First-year ice
Multi-year ice
Arctic ROOS Foundation Meeting
Luleå 18-19 December 2007
SSM/I mapping of multi-year ice with its boundary
correction from scatterometer data
November
2005
January
2006
Multi-year ice
from scatterometer
Multi-year ice
from SSM/I NORSEX
Arctic ROOS Foundation Meeting
Corrected SSM/I
Multi-year ice map
Luleå 18-19 December 2007
Development of Neural Network (NN) -based
algorithm for ice concentration retrievals
Atmosphere-Ice-Ocean
System (AIOS) Model
Model of microwave radiation
transfer in AIOS
Dataset of simultaneous
meteorological and ice data
Brightness temperature calculations
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
Landsat sub-image for April 14, 2006
“Monitor-E” sub-image for April 7, 2006
ENVISAT ASAR sub-image for April 5, 2006
Arctic ROOS Foundation Meeting
Luleå 18-19 December 2007