Arctic ROOS contributions

Slides:



Advertisements
Similar presentations
What? Remote, actively researched, monitored, measured, has a huge impact on global climate and is relatively cool?
Advertisements

Marine Core Service MY OCEAN The GMES MyOcean Marine Service Bertil Håkansson SMHI, Core Service MyOcean Core User Requirements.
Meteorologisk Institutt met.no OPNet, Oslo, May 2011 Do we need fine scale ocean prediction ?!... and if so, do we have the right tools ? Lars-Anders Breivik.
Marine Core Service MY OCEAN The Baltic Sea Monitoring and Forecasting Centre in MyOcean Presentation by: Frank Jannsen Priidik Lagemaa.
Meteorological Service of Canada – Update Meteorological Service of Canada – Update NOAA Satellite Proving Ground/User-Readiness June 2, 2014 David Bradley.
Panel Discussion on Corporate Volunteerism Closing Plenary, June 25, 2003 Nick Keener, CCM Director, Meteorology 2009 Summer AMS Community Meeting Aug.
Collaborative Investigation of Climate Cryosphere Interaction 3 (CICCI 3) Rune Storvold, Norut/NTNU NySMAC, Helsinki, April 7 th -8 th, 2014.
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
Marine Core Service MY OCEAN WP18.3 – Assessment and Users Requirements for “Marine Safety” Task : Assessment and requirements for “Marine Safety”
ICEMON Presentation at IICWG-IV by Helge Tangen. Norwegian Meteorological Institute met.no Contents of presentation The ICEMON Consortium Objectives and.
Russia: Integrated system for ice and hydro-meteorological support for NSR IICWG-IV, Saint-Petersburg, April Sergey Brestkin, Head of the Ice.
RADARSAT Constellation  Evolution of the RADARSAT Program (i.e. 3 satellites – 32 minutes separation);  Average daily global access of land and oceans.
Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.
10/05/041 Utilisation of satellite data in the verification of HIRLAM cloud forecasts Christoph Zingerle and Pertti Nurmi.
Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.
Parameters and instruments A. Proshutinsky, Woods Hole Oceanographic Institution Science and Education Opportunities for an Arctic Cabled Seafloor Observatory.
Operational Ice Services SAR coordination meeting St-Hubert, Quebec Darlene Langlois Ice and Marine Services Branch March 6, 2008.
FMI contribution to WGii first report Requirements from the forecasters and from the cuntomers Janne Kotro Jukka Julkunen Juha Kilpinen.
IPY Satellite Data Legacy Vision: Use the full international constellation of remote sensing satellites to acquire spaceborne ‘snapshots’ of processes.
A Multi-Sensor, Multi-Parameter Approach to Studying Sea Ice: A Case-Study with EOS Data Walt Meier 2 March 2005IGOS Cryosphere Theme Workshop.
Global Inter-agency IPY Polar Snapshot Year (GIIPSY): Goals and Accomplishments Katy Farness & Ken Jezek, The Ohio State University Mark Drinkwater, European.
Southern Ocean Air-Sea Flux Observations Eric Schulz, CAWCR, BoM.
Danish Meteorological Institute, Ice Charting and Remote Sensing Division National Modelling, Fusion and Assimilation Programs Brief DMI Status Report.
Baltic Operational Oceanographic System (BOOS) Erik Buch Centre for Ocean and Ice.
VTT TECHNICAL RESEARCH CENTRE OF FINLAND 1 Ice Charting System in the Baltic- an example Robin Berglund, VTT Technical Research Centre of Finland IICWG.
2004 SMHI-OH eng SMHI is more than you imagine… SMHI-OH eng SMHI´s operational idea To provide planning and decision-making data for operations.
EuroGOOS Arctic Task Team Workshop September 2006 Summary of the Arctic GOOS planning meeting Hosted jointly by Nansen Environmental and Remote.
IceMap – Collaborate ice mapping system at the Baltic Sea (Finland –Germany- Sweden) Finnish Institute of Marine Research IICWG-4, St. Petersburg, Russia,
Science Needs for Arctic Operations. Randall Luthi– Moderator – National Ocean Industries Association Erik Milito – American Petroleum Institute Gary.
1 U.S. Navy Arctic Roadmap Implementation Sea, Air, Space Exposition RADM Jonathan White Oceanographer and Navigator of the Navy 15 April 2015.
© Crown copyright Met Office Future Upper-Air Network Development (FUND)-Integration TECO 2008 St Petersburg Russia Catherine Gaffard, John Nash, Alec.
Coastal monitoring and forecasting systems in Finland by FIMR Pekka Alenius Leading scientist Finnish Institute of Marine Research POL Workshop Mallorca.
SMHI in the Arctic Lars Axell Oceanographic Research Unit Swedish Meteorological and Hydrological Institute.
The U.S. Inter-agency Arctic Research Policy Committee (IARPC) 5-year Research Plan, FY13-FY17 1.Understand sea-ice dynamics, ecosystem processes, ecosystem.
Dr. Frank Herr Ocean Battlespace Sensing S&T Department Head Dr. Scott L. Harper Program Officer Team Lead, 322AGP Dr. Martin O. Jeffries Program Officer.
The Tiksi Hydrometeorological Observatory Program International Collaboration for Climate Studies U.S. Science Contact:
Let it Snow! Snowfall Patterns as Related to CloudSat/AIM/Globe The Canadians, eh!
Marine Core Service MY OCEAN Potential contribution of Observatories to GMES Marine Core Service, MyOcean Fabrice HERNANDEZ IRD/Mercator Ocean, France.
Ocean and sea-ice data assimilation and forecasting in the TOPAZ system L. Bertino, K.A. Lisæter, I. Kegouche, S. Sandven NERSC, Bergen, Norway Arctic.
Polar Communications and Weather Mission Canadian Context and Benefits.
Meteorologisk Institutt met.no Operational ocean forecasting in the Arctic (met.no) Øyvind Saetra Norwegian Meteorological Institute Presented at the ArcticGOOS.
ECOOP annual meeting February 2008 Athens Ole K. Leth Danish Meteorological Institute (DMI) Contribution to WP 4 (13 February 2008) – Modelling and.
B ROCKMANN C ONSULT BallastWater ESA UCM Ballast Water Risk * Hamburg * ESA Innovator II: Ballast Water Risk Index A Tool for assessing the.
MOSAiC Multidisciplinary drifting Observatory for the Study of Arctic Climate Matthew Shupe – U. of Colorado Ola Persson – U. of Colorado Michael Tjernström.
Polar prediction services provided by the Bureau of Meteorology in support of the Australian Antarctic program. Dr Neil Adams, Centre for Australian Weather.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Validation of US Navy Polar Ice Prediction (PIPS) Model using Cryosat Data Kim Partington 1, Towanda Street 2, Mike Van Woert 2, Ruth Preller 3 and Pam.
The Mediterranen Forecasting System: 10 years of developments (and the next ten) N.Pinardi INGV, Bologna, Italy.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Aristeidis K. Georgoulias Contribution of Democritus University of Thrace-DUTH in AMFIC-Project Democritus University of Thrace Laboratory of Atmospheric.
Annu Oikkonen University of Helsinki Mesoscale dynamic- thermodynamic modelling of sea ice Supervisor Prof. Matti Leppäranta.
V.G. Smirnov Yu. A. Scherbakov V.S. Loschilov Sea Ice mapping in AARI based on various space borne data Arctic and Antarctic Research Institute St. Petersburg.
MERCATOR OCEAN French Global Ocean Monitoring and Forecasting Contribution to Arctic GOOS Pierre BAHUREL & Gilles GARRIC MERCATOR OCEAN 12 September 2006,
Ice-Based Observatories network in the Arctic Ocean Andrey Proshutinsky, Woods Hole Oceanographic Institution NOAA Arctic Science Priorities Workshop,
IICWG 8 Frascati End User Requirements Oil & Gas Ideas For IICWG 8.
PEEX – Pan Eurasian Experiment Research initiative involving European, Russian and Chinese organisations and institues
RIME A possible experiment for Advancing Antarctic Weather Prediction David H. Bromwich 1, John J. Cassano 1, Thomas R. Parish 2, Keith M. Hines 1 1 -
EuroGOOS Arctic Task Team Workshop September 2006 Satellite data portals for Arctic monitoring Stein Sandven Nansen Environmental and Remote Sensing.
Future needs and plans for ocean observing in the Arctic AOOS Arctic Town Hall Futur Zdenka Willis Integrated Ocean Observing System National Program Office.
Importance of the atmospheric boundary layer (2).
MOSAiC Meeting, ASSW, 13 March 2016, Fairbanks Townhall Meeting 13 March :00 – 17:00 Multidisciplinary drifting Observatory for the Study of Arctic.
Monitoring of Sea Ice in the Arctic (ICEMON) Stein Sandven Research director Polar and Environmental Remote Sensing Group 20 October.
SIGMA: Diagnosis and Nowcasting of In-flight Icing – Improving Aircrew Awareness Through FLYSAFE Christine Le Bot Agathe Drouin Christian Pagé.
Dr. Elisabeth Lipiatou Head of Unit Climate Change and Environmental Risks Unit Environment Directorate Research DG European Commission Way forward for.
Norwegian Marine Data Centre contributions from Nansen Environmental and Remote Sensing Center Lasse H. Pettersson.
European Ice Service EIS
Neil Taylor Hydrometeorology and Arctic Lab
HELCOM and operational oceanography
Presentation transcript:

Arctic ROOS contributions Tapani Stipa, Ari Seinä, Seppo Kaitala (FIMR)‏ Timo Vihma (FMI)‏

Why ice related services are required? The Baltic Sea: Heavy marine traffic (largest of ice covered seas in Word)‏ Annual 600-700 million tons (of which 40% during winter months)‏ Any time 2000 larger vessels are sailing in Baltic Sea >90% of ships with timetables Ice navigation obligatory Ice plays a role up to 6 months marine transportation growing 2-5% a year => 30-40% in 10 years Finland: Annual marine transport 95 million tons of goods (2004), of which ~40 mil. tons in winter months with >25 000 port calls 8 icebreakers © Finnish Institute of Marine Research, 2006

Growth scenarios: Marine transportation growth- Finland 1975 31 mil.tons => 2004 95 mil.tons Average growth 3-4%/year 1995-2004 growth 34% By 2015 133-148 mil. tons/year Marine transportation growth- Baltic Sea 2015 => 800-1000 mil. tons Oil transportation from Russia: >100 mil. tons in 2005 >200 mil. tons in 2010 >400 mil. tons in 2015 Latest forecast: by 2015 about 1 B tons! © Finnish Institute of Marine Research, 2006

SEA ICE MONITORING & INFORMATION TO USERS AT SEA High res. ice thickness chart High res. satellite image Sat. image and traffic conditions Ice deformation chart Routine ice chart Ice forecasts © Finnish Institute of Marine Research, 2006

High-Resolution Ice Thickness Charts over the Baltic Sea Ice thickness chart is based on SAR and ground truth. Spatial resolution 500 by 500m= product for ships and in ships’ scale. End users: shipping Motivation easy to use: Growth of marine transportation =>Risk of hazards is growing. Unexperienced crew. Time-lines of ships Published when SAR data available (about 250 charts in ice season 2005-06, 200 in 2006-07). In 30 min after SAR data is downloaded Future: should be aware of availability and in use of all shipping in the Baltic Sea © Finnish Institute of Marine Research, 2006 Operationally available at: http://polarview.fimr.fi © Finnish Institute of Marine Research, 2006

Ice forecasts over the Baltic Sea Covering the Baltic Sea End users: shipping +45 h in 3 h steps resolution 1 nautical mile 6 parametres: ice concentration and drift ice ridge thickness ice ridge concentration compress region deformed ice fraction mean ice thickness published once a day Future: expand of forecast up to 10 days. Should be aware of availability and in use of all shipping in the Baltic Sea © Finnish Institute of Marine Research, 2006

Ecological model

mmol/m³ mmol/m³ mmol/m³ 2)‏ 1)‏ 3)‏ 4)‏ Distribution of 1)Diatoms, 2) NO3, 3) PO4 and 4) SIO2 at depth 5 m 1 May 1983 NO3 1)‏ Diatoms 2)‏ mmol/m³ 3)‏ PO4 4)‏ SIO2 mmol/m³ mmol/m³

Time -depth temperature profiles Basin Dvina Bay Kandalaksha Bay Onega Bay

Diatoms, SiO2 and SiDetr at Lat 66:43, Long 34:13

Finnish Meteorological Institute Arctic activities relevant for EuroGOOS Arctic Task Team Timo Vihma 1. Research activities in DAMOCLES (Developing Arctic Modelling and Observing Capabilities for Long-term Environmental Studies)‏ FMI is leading DAMOCLES WP2: Atmosphere, which has the following tasks: Arctic cyclones Operationally important aspects:  Detection of mesoscale cyclones: - high-resolution buoy network (to be deployed by the University of Hamburg)‏ - utilization of AMSU-B data on total water vapour and cloud water content to help detecting Polar lows  Impact of cyclones on sea ice drift b) Boundary layer turbulence  Stably-stratified ABL over sea ice; wind forcing on sea ice drift  Localized convection over leads c) Clouds, adiative fluxes and surface albedo

2. Numerical Weather Prediction including Arctic and sub-Arctic regions FMI is running the reference version and a meso-β version of HIRLAM: Plans for joint Nordic production of numerical weather prediction

Summary of contribution FIMR + FMI Long expertise in viable sea ice service Arctic atmospheric modelling and parameterisation expertise Experience in operational ecological modelling Established system for operational biological observations and assessment Funding being searched for participation in Arctic Buoy Program and improved interpretation of SAR data in the Arctic

Activities 2007 Participation DAMOCLES (sea-ice measurement campaign in drifting ice station Tara & R/V Lance. Participation of LOMROG and ARK-XXII/2 DAMOCLES instrumentation dev. package Ice service Provided operational Baltic Sea ice charts (about 170) Provided operational ice forecasts over Baltic Sea (about 145) Provided operational ice thickness charts (about 200) Field campaign in March with main interest of ice thickness Arctic remote sensing development for ice monitoring

2008 Participation of CryoSat-2 CAL/VAL campaign Participation of Polar View Operational outputs to IPY Ice Logistics Portal Study of X Band SAR for ice parametres Under-ice glider experiment under DAMOCLES Major projects DAMOCLES ESA CryoSat-2 CAL/VAL MyOcean Polar View EUR-OCEANS