SlideShare a Scribd company logo
1 of 7
Download to read offline
1
http://www.emodnet.eu
EMODnet Stakeholder Conference & Sea-basin Workshops
14-15 February 2017
Baltic Sea Basin Checkpoint Breakout
session summary
Jun She, Erik Buch and Jens Murawski
EMODnet Sea-basin Checkpoints Results
THEME-Biology
2
Comments for improvements
Web portal: the dynamic portal is highly appreciated. It’s a
demo portal for the moment but users would like to see a
service portal with potential improvements:
More information on metadata, eg, methodology.
New functions:
Dynamic feedback
authorship of the data, the possibility for easy updates of the data and the
adding of new data during the project and after the project has ended.
Sectorial page: which can connect all the different data themes and
products for serving the given sector.
Analysis function: Information about the impacts of changing one
parameter onto all the other parameters can be provided.
Show the overlap of territorial waters and economic zones on the data
portal and on EMODnet Human Activity web side.
The data portal is a very useful tool to turn open data into open
science, i.e. knowledge generation on basis of open data.
3
Comments on data requirements and gaps
Topography data gaps in the shallow, near-coastal (white)
zone
Data accessibility to be improved by integrating data policy
issues
high resolution topography data provision prohibited by military
interests,
high resolution fishery data limited by data policy,
availability of company data due to private data policy.
To address monitoring gaps due to
shallowness of its waters, sills
the low salinity, inter-subbasin transport
occurrence of sea ice.
It is recommended to collect all experiences of high frequency (HF)
measurements in the Baltic Sea.
4
Comments for future challenges
Marine Spatial Planning
Marine spatial planning uses a large amount of data, need to handle
issues of high resolution, cross-boarder impacts, multi-sectorial
planning identified problems. Adaptive planning will need most
updated data. This makes MSP a special challenge area of marine data
use. This is currently missing. A combination of modelling and
monitoring is especially useful in such a case.
large data gaps have been identified when dealing with habitat maps
outside of the territorial waters (12 miles). Working groups have urged
scientists to improve the knowledge about habitats or to improve the
methods of extrapolating data. The available data is very patchy.
Data availability and visibility for maritime spatial planning depends on
the national level and varies from country to country. In general the
situation is good, but could be improved. Data gaps in the near coastal
zone, tourism data sets. There is a lack of governance of scientific
data.
5
Comments for future challenges
Spatial ecology and fisheries
Abrupt changes of the fishery in Baltic Sea have been identified which will have a
significant impact on the fishery management. Relate fishery change with significant
physical factors e.g., inflow and climate change, are important in explaining the
phenomenon.
New data is available about the spatial distribution and the ecology of fish: cod, sprat,
herring. The accessibility is data policy related
The requirements for Fishery data seems to be very much user dependent. In-depth
user practices should be used to illustrate more data needs.
Geology
The highly dynamical coastal zone is lacking data. The offshore is well covered. High
resolution data for topography and grain size distribution are needed for sediment
transport evaluations, sand budgets and coastal vulnerability sturdies, especially for
climate studies that include the effect of sea level rise. It is important to get a better
knowledge of coastal erosion and the input of fine grain sediments. National initiatives
in Sweden, Denmark and other countries exist, that cover only a few examples. The data
is rather sparse and costly to generate.
Chemistry
Data adequacy for ocean acidification should be assessed
Sea Data Cloud will improve the data retrieval from EMODnet
Recommendation: The delay time with which collected and quality controlled data is
provided should be reduced using automatic procedures.
6
Comments for future challenges
Quantitative assessment and design of observing system linging to
operational oceanography:
to use OSSEs/OSEs for the development of a coherent measuring strategy
that should cover open seas and shallow water alike. Furthermore, an
integrated monitoring approach should combine offline and delayed mode
data from HELCOM, ICES (by speed up delivery) with operational data
(modelling, observations) from CMEMS, for example.
New challenges:
adequacy of under water noise data.
Adequacy of marine pollutant data
Adequacy of air pollution deposition data
Private data collection: geological survey data:
private data is collected and made available after some while(5y). The
upload system should be easy. The private companies should learn about
the benefits of providing their data, i.e. build-up of large data bases
7
Summaries
There are significant user interests to further develop current demo portal
into a dedicated service portal
There exist gaps in dynamic, shallow water zone (<20m) for bathymetry,
sediment, currents etc.
Data policy should be an integrated part in Checkpoint assessment for data
related to military and commercial interests (eg, bathymetry, fishery and
private data)
Adaptive, autonomous high resolution monitoring tools are effective
supplementary to improve current monitoring system. Optimal strategy can
be reached by combining monitoring and modelling with OSSEs/OSEs
New challenges are recommended:
Marine Spatial Planning
More in-depth definition of some of the existing challenges, eg fishery, will reveal more data
needs
Data adequacy for ocean acidification
Data adequacy for operational forecasting
Adequacy of under water noise data.
Adequacy of marine pollutant data
Adequacy of air pollution deposition data
Private data collection

More Related Content

What's hot

Situational analysis republic of kyrgyzstan eng
Situational analysis republic of kyrgyzstan engSituational analysis republic of kyrgyzstan eng
Situational analysis republic of kyrgyzstan eng
groundwatercop
 
Managing national hydrometric data from data to information
Managing national hydrometric data   from data to informationManaging national hydrometric data   from data to information
Managing national hydrometric data from data to information
hydrologywebsite1
 
Kaur,Mehar_GISPoster
Kaur,Mehar_GISPosterKaur,Mehar_GISPoster
Kaur,Mehar_GISPoster
Mehar Kaur
 

What's hot (20)

A decision-analytic framework & multi-perspective visualization for participa...
A decision-analytic framework & multi-perspective visualization for participa...A decision-analytic framework & multi-perspective visualization for participa...
A decision-analytic framework & multi-perspective visualization for participa...
 
test.pptx
test.pptxtest.pptx
test.pptx
 
OredolaOlayinka_2016
OredolaOlayinka_2016OredolaOlayinka_2016
OredolaOlayinka_2016
 
Situational analysis republic of kyrgyzstan eng
Situational analysis republic of kyrgyzstan engSituational analysis republic of kyrgyzstan eng
Situational analysis republic of kyrgyzstan eng
 
DSD-INT 2017 Bangladesh Delta Plan 2100 - Prediction of Morphological Evoluti...
DSD-INT 2017 Bangladesh Delta Plan 2100 - Prediction of Morphological Evoluti...DSD-INT 2017 Bangladesh Delta Plan 2100 - Prediction of Morphological Evoluti...
DSD-INT 2017 Bangladesh Delta Plan 2100 - Prediction of Morphological Evoluti...
 
C1.06: US IOOS: Eyes on the Ocean - Zdenka Willis
C1.06: US IOOS: Eyes on the Ocean - Zdenka WillisC1.06: US IOOS: Eyes on the Ocean - Zdenka Willis
C1.06: US IOOS: Eyes on the Ocean - Zdenka Willis
 
Managing national hydrometric data from data to information
Managing national hydrometric data   from data to informationManaging national hydrometric data   from data to information
Managing national hydrometric data from data to information
 
DAFNE Negotiation Simulation Lab Approach & Tools
DAFNE Negotiation Simulation Lab Approach & Tools DAFNE Negotiation Simulation Lab Approach & Tools
DAFNE Negotiation Simulation Lab Approach & Tools
 
CaBALondon 08 Di Hammond, Affinity Water
CaBALondon 08 Di Hammond, Affinity WaterCaBALondon 08 Di Hammond, Affinity Water
CaBALondon 08 Di Hammond, Affinity Water
 
2004 jh cypruspp
2004 jh cypruspp2004 jh cypruspp
2004 jh cypruspp
 
EMODnet Sea-Basin Checkpoints Stakeholder Conference: Welcome and setting the...
EMODnet Sea-Basin Checkpoints Stakeholder Conference: Welcome and setting the...EMODnet Sea-Basin Checkpoints Stakeholder Conference: Welcome and setting the...
EMODnet Sea-Basin Checkpoints Stakeholder Conference: Welcome and setting the...
 
Dafne project overview Lusaka
Dafne project overview LusakaDafne project overview Lusaka
Dafne project overview Lusaka
 
Mekong River Commission Meeting the Needs - Keeping the Balance .pptt
Mekong River Commission Meeting the Needs - Keeping the Balance .ppttMekong River Commission Meeting the Needs - Keeping the Balance .pptt
Mekong River Commission Meeting the Needs - Keeping the Balance .pptt
 
Day 1 neno kukuric igrac - methodology
Day 1 neno kukuric   igrac - methodologyDay 1 neno kukuric   igrac - methodology
Day 1 neno kukuric igrac - methodology
 
Linked in show
Linked in showLinked in show
Linked in show
 
DSD-INT 2016 Effects of Extraction and Open Pit Mining on Rode Beek Saeffele...
DSD-INT 2016 Effects of Extraction and Open Pit Mining on Rode Beek  Saeffele...DSD-INT 2016 Effects of Extraction and Open Pit Mining on Rode Beek  Saeffele...
DSD-INT 2016 Effects of Extraction and Open Pit Mining on Rode Beek Saeffele...
 
Miřijovský, Šulc Michalková
Miřijovský, Šulc MichalkováMiřijovský, Šulc Michalková
Miřijovský, Šulc Michalková
 
Kaur,Mehar_GISPoster
Kaur,Mehar_GISPosterKaur,Mehar_GISPoster
Kaur,Mehar_GISPoster
 
Key Issues in Carbon Capture and Storage
Key Issues in Carbon Capture and StorageKey Issues in Carbon Capture and Storage
Key Issues in Carbon Capture and Storage
 
TMDLs in Wastewater
TMDLs in WastewaterTMDLs in Wastewater
TMDLs in Wastewater
 

Viewers also liked

Viewers also liked (6)

Outputs and recommendations from the Mediterranean Sea-basin Checkpoint Workshop
Outputs and recommendations from the Mediterranean Sea-basin Checkpoint WorkshopOutputs and recommendations from the Mediterranean Sea-basin Checkpoint Workshop
Outputs and recommendations from the Mediterranean Sea-basin Checkpoint Workshop
 
Concept and Challenges of the EMODnet Sea-basin Checkpoints
Concept and Challenges of the EMODnet Sea-basin CheckpointsConcept and Challenges of the EMODnet Sea-basin Checkpoints
Concept and Challenges of the EMODnet Sea-basin Checkpoints
 
Outputs and recommendations from the North Sea Checkpoint Workshop
Outputs and recommendations from the North Sea Checkpoint WorkshopOutputs and recommendations from the North Sea Checkpoint Workshop
Outputs and recommendations from the North Sea Checkpoint Workshop
 
Outputs and recommendations from the Artic Sea-basin Checkpoint Workshop
Outputs and recommendations from the Artic Sea-basin Checkpoint WorkshopOutputs and recommendations from the Artic Sea-basin Checkpoint Workshop
Outputs and recommendations from the Artic Sea-basin Checkpoint Workshop
 
Importance of data and information for users of ocean and coastal space and t...
Importance of data and information for users of ocean and coastal space and t...Importance of data and information for users of ocean and coastal space and t...
Importance of data and information for users of ocean and coastal space and t...
 
Baltic SCOPE joint map - ENERGY vs ENVIRONMENT *
Baltic SCOPE joint map - ENERGY vs ENVIRONMENT *Baltic SCOPE joint map - ENERGY vs ENVIRONMENT *
Baltic SCOPE joint map - ENERGY vs ENVIRONMENT *
 

Similar to Outputs and recommendations from the Baltic Sea-basin Checkpoint Workshop

C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
Blue Planet Symposium
 
Mercator Ocean newsletter 29
Mercator Ocean newsletter 29Mercator Ocean newsletter 29
Mercator Ocean newsletter 29
Mercator Ocean International
 
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
Deltares
 
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
water-decade
 
AGEDI Climate Change Brochure low res
AGEDI Climate Change Brochure low resAGEDI Climate Change Brochure low res
AGEDI Climate Change Brochure low res
Jane C. Glavan
 
Ocean SAMP research agenda
Ocean SAMP research agendaOcean SAMP research agenda
Ocean SAMP research agenda
riseagrant
 
TGS GPS- Newfoundland and Flemish Pass Interp
TGS GPS- Newfoundland and Flemish Pass Interp TGS GPS- Newfoundland and Flemish Pass Interp
TGS GPS- Newfoundland and Flemish Pass Interp
TGS
 

Similar to Outputs and recommendations from the Baltic Sea-basin Checkpoint Workshop (20)

C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...
 
C4.01: Overview of the Coastal Zone Community of Practice & Services for the ...
C4.01: Overview of the Coastal Zone Community of Practice & Services for the ...C4.01: Overview of the Coastal Zone Community of Practice & Services for the ...
C4.01: Overview of the Coastal Zone Community of Practice & Services for the ...
 
DSD-INT 2015 - EO-related projects at deltares - Jaap Kwadijk
DSD-INT 2015 - EO-related projects at deltares - Jaap KwadijkDSD-INT 2015 - EO-related projects at deltares - Jaap Kwadijk
DSD-INT 2015 - EO-related projects at deltares - Jaap Kwadijk
 
C0.5: CEOS and Oceans - Chu Ishida, Alex Held
C0.5: CEOS and Oceans - Chu Ishida, Alex HeldC0.5: CEOS and Oceans - Chu Ishida, Alex Held
C0.5: CEOS and Oceans - Chu Ishida, Alex Held
 
Mercator Ocean newsletter 29
Mercator Ocean newsletter 29Mercator Ocean newsletter 29
Mercator Ocean newsletter 29
 
Maximize the value of Earth Observation Data in a Big Data World
Maximize the value of Earth Observation Data in a Big Data WorldMaximize the value of Earth Observation Data in a Big Data World
Maximize the value of Earth Observation Data in a Big Data World
 
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
DSD-NL 2014 - EU Data Landscape - 3. Jerico 2014 Gorringe_2
 
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
Academia: Richard Lawford, Morgan State University, 16th January UN Water Zar...
 
Day 3 sudip pradhan, icimod, arrcc-carissa workshop
Day 3 sudip pradhan, icimod, arrcc-carissa workshopDay 3 sudip pradhan, icimod, arrcc-carissa workshop
Day 3 sudip pradhan, icimod, arrcc-carissa workshop
 
A framework to assess wetlands' potential as Nature-based Solutions
A framework to assess wetlands' potential as Nature-based SolutionsA framework to assess wetlands' potential as Nature-based Solutions
A framework to assess wetlands' potential as Nature-based Solutions
 
Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environment
Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environmentIntegration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environment
Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environment
 
AGEDI Climate Change Brochure low res
AGEDI Climate Change Brochure low resAGEDI Climate Change Brochure low res
AGEDI Climate Change Brochure low res
 
Introduction to the GSDI Marine SDI Best Practice Webinar
Introduction to the GSDI Marine SDI Best Practice WebinarIntroduction to the GSDI Marine SDI Best Practice Webinar
Introduction to the GSDI Marine SDI Best Practice Webinar
 
Ocean SAMP research agenda
Ocean SAMP research agendaOcean SAMP research agenda
Ocean SAMP research agenda
 
C0.3: Blue Planet Overview - Sophie Seeyave
C0.3: Blue Planet Overview - Sophie SeeyaveC0.3: Blue Planet Overview - Sophie Seeyave
C0.3: Blue Planet Overview - Sophie Seeyave
 
TGS GPS- Newfoundland and Flemish Pass Interp
TGS GPS- Newfoundland and Flemish Pass Interp TGS GPS- Newfoundland and Flemish Pass Interp
TGS GPS- Newfoundland and Flemish Pass Interp
 
Multi-sensor Improved Sea Surface Temperatures Project
Multi-sensor Improved Sea Surface Temperatures ProjectMulti-sensor Improved Sea Surface Temperatures Project
Multi-sensor Improved Sea Surface Temperatures Project
 
The Development of a Catchment Management Modelling System for the Googong Re...
The Development of a Catchment Management Modelling System for the Googong Re...The Development of a Catchment Management Modelling System for the Googong Re...
The Development of a Catchment Management Modelling System for the Googong Re...
 
The GAME project database – an example of interdisciplinary, open access envi...
The GAME project database – an example of interdisciplinary, open access envi...The GAME project database – an example of interdisciplinary, open access envi...
The GAME project database – an example of interdisciplinary, open access envi...
 
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
DHI UK - BRIEFING FOR UK AND IRELAND WATER COMPANIES - NO 4 - UDG EDITION - N...
 

Recently uploaded

一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
cyebo
 
Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptx
DilipVasan
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
pyhepag
 
Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertainty
RafigAliyev2
 
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotecAbortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Riyadh +966572737505 get cytotec
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理
cyebo
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
pyhepag
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
pyhepag
 

Recently uploaded (20)

How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?
 
how can i exchange pi coins for others currency like Bitcoin
how can i exchange pi coins for others currency like Bitcoinhow can i exchange pi coins for others currency like Bitcoin
how can i exchange pi coins for others currency like Bitcoin
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity PredictionMachine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
 
Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptx
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
 
Artificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdfArtificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdf
 
Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertainty
 
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotecAbortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
 
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPsWebinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
 
2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call
 
Pre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptxPre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptx
 
Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)
 
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptxMALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
 
AI Imagen for data-storytelling Infographics.pdf
AI Imagen for data-storytelling Infographics.pdfAI Imagen for data-storytelling Infographics.pdf
AI Imagen for data-storytelling Infographics.pdf
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
 

Outputs and recommendations from the Baltic Sea-basin Checkpoint Workshop

  • 1. 1 http://www.emodnet.eu EMODnet Stakeholder Conference & Sea-basin Workshops 14-15 February 2017 Baltic Sea Basin Checkpoint Breakout session summary Jun She, Erik Buch and Jens Murawski EMODnet Sea-basin Checkpoints Results THEME-Biology
  • 2. 2 Comments for improvements Web portal: the dynamic portal is highly appreciated. It’s a demo portal for the moment but users would like to see a service portal with potential improvements: More information on metadata, eg, methodology. New functions: Dynamic feedback authorship of the data, the possibility for easy updates of the data and the adding of new data during the project and after the project has ended. Sectorial page: which can connect all the different data themes and products for serving the given sector. Analysis function: Information about the impacts of changing one parameter onto all the other parameters can be provided. Show the overlap of territorial waters and economic zones on the data portal and on EMODnet Human Activity web side. The data portal is a very useful tool to turn open data into open science, i.e. knowledge generation on basis of open data.
  • 3. 3 Comments on data requirements and gaps Topography data gaps in the shallow, near-coastal (white) zone Data accessibility to be improved by integrating data policy issues high resolution topography data provision prohibited by military interests, high resolution fishery data limited by data policy, availability of company data due to private data policy. To address monitoring gaps due to shallowness of its waters, sills the low salinity, inter-subbasin transport occurrence of sea ice. It is recommended to collect all experiences of high frequency (HF) measurements in the Baltic Sea.
  • 4. 4 Comments for future challenges Marine Spatial Planning Marine spatial planning uses a large amount of data, need to handle issues of high resolution, cross-boarder impacts, multi-sectorial planning identified problems. Adaptive planning will need most updated data. This makes MSP a special challenge area of marine data use. This is currently missing. A combination of modelling and monitoring is especially useful in such a case. large data gaps have been identified when dealing with habitat maps outside of the territorial waters (12 miles). Working groups have urged scientists to improve the knowledge about habitats or to improve the methods of extrapolating data. The available data is very patchy. Data availability and visibility for maritime spatial planning depends on the national level and varies from country to country. In general the situation is good, but could be improved. Data gaps in the near coastal zone, tourism data sets. There is a lack of governance of scientific data.
  • 5. 5 Comments for future challenges Spatial ecology and fisheries Abrupt changes of the fishery in Baltic Sea have been identified which will have a significant impact on the fishery management. Relate fishery change with significant physical factors e.g., inflow and climate change, are important in explaining the phenomenon. New data is available about the spatial distribution and the ecology of fish: cod, sprat, herring. The accessibility is data policy related The requirements for Fishery data seems to be very much user dependent. In-depth user practices should be used to illustrate more data needs. Geology The highly dynamical coastal zone is lacking data. The offshore is well covered. High resolution data for topography and grain size distribution are needed for sediment transport evaluations, sand budgets and coastal vulnerability sturdies, especially for climate studies that include the effect of sea level rise. It is important to get a better knowledge of coastal erosion and the input of fine grain sediments. National initiatives in Sweden, Denmark and other countries exist, that cover only a few examples. The data is rather sparse and costly to generate. Chemistry Data adequacy for ocean acidification should be assessed Sea Data Cloud will improve the data retrieval from EMODnet Recommendation: The delay time with which collected and quality controlled data is provided should be reduced using automatic procedures.
  • 6. 6 Comments for future challenges Quantitative assessment and design of observing system linging to operational oceanography: to use OSSEs/OSEs for the development of a coherent measuring strategy that should cover open seas and shallow water alike. Furthermore, an integrated monitoring approach should combine offline and delayed mode data from HELCOM, ICES (by speed up delivery) with operational data (modelling, observations) from CMEMS, for example. New challenges: adequacy of under water noise data. Adequacy of marine pollutant data Adequacy of air pollution deposition data Private data collection: geological survey data: private data is collected and made available after some while(5y). The upload system should be easy. The private companies should learn about the benefits of providing their data, i.e. build-up of large data bases
  • 7. 7 Summaries There are significant user interests to further develop current demo portal into a dedicated service portal There exist gaps in dynamic, shallow water zone (<20m) for bathymetry, sediment, currents etc. Data policy should be an integrated part in Checkpoint assessment for data related to military and commercial interests (eg, bathymetry, fishery and private data) Adaptive, autonomous high resolution monitoring tools are effective supplementary to improve current monitoring system. Optimal strategy can be reached by combining monitoring and modelling with OSSEs/OSEs New challenges are recommended: Marine Spatial Planning More in-depth definition of some of the existing challenges, eg fishery, will reveal more data needs Data adequacy for ocean acidification Data adequacy for operational forecasting Adequacy of under water noise data. Adequacy of marine pollutant data Adequacy of air pollution deposition data Private data collection