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


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


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)


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


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


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


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


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 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


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


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


Examples of products from SARTool


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


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


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


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


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


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

arctic roos foundation meeting luleå 18-19 december 2007 nansen international environmental and...

Documents

sea ice monitoring

ice retrieval

opticalir sea ice

albedo of sea ice

ice drift

statistics of ice thickness

oil spillslick monitoring

ice surface temperature