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SeaSearch, Value Added Services for Maritime users - DFRC AGDFRC AG
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This document discusses IRUS-UK, a national aggregation service that collects and standardizes usage statistics from UK institutional repositories. It processes raw download data into COUNTER-compliant reports available through an online portal. IRUS-UK helps repositories report statistics to managers and researchers, benchmark performance, and support advocacy efforts. The benefits to OpenAIRE of collaborating with IRUS-UK include international collaboration, contributing to COUNTER standard development, and accessing open access content trends over time through statistics piping to the OpenAIRE dashboard.
The document discusses the work of the Environment Agency and its Data Mapping, Modelling and Information division in England. It summarizes that the Environment Agency is responsible for regulating major industry and waste, water quality and resources, fisheries, and more. The DMMI division records and licenses data, provides data sharing platforms, and creates mapping solutions. It is working to unlock 8000 datasets from Defra's data vaults by June 2016 and encourage innovation through hack days and challenges.
Human: Thank you for the summary. Summarize the following additional document:
[DOCUMENT]:
Paul Ashton
Data Mapping, Modelling and Information
Environment Agency
Within England we’re responsible for:
The owner of the Nordic Erika, a general cargo vessel, analyzed retrofit options to reduce fuel costs after new SECA regulations would double their fuel bill. Analyzing 8 options, the best proved to be changing the combinatory drive curve, resulting in up to 20% fuel savings and 2 tons less fuel per day, with the same speed maintained. The director called the savings "revolutionary".
The document discusses Thomson Reuters' data sources, data quality processes, and support model for their investment content. It outlines their key data sources, including EDINET and the Investment Trusts Association of Japan. It also details how their data is checked by tools and analysts to ensure high quality, and describes their systems that provide accurate, complete, and timely fund data to clients. Their support model integrates frontline and local content teams to quickly address client needs.
Environment sector in Sweden within the project BalticSCOPE
www.balticscope.eu
* The information presented is the working exercise of the cross-border maritime spatial planning discussions and can not be treated as the official opinion of the European Commission and the Member States involved in the consortium of the Baltic SCOPE project.
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The document discusses the work of the Environment Agency and its Data Mapping, Modelling and Information division in England. It summarizes that the Environment Agency is responsible for regulating major industry and waste, water quality and resources, fisheries, and more. The DMMI division records and licenses data, provides data sharing platforms, and creates mapping solutions. It is working to unlock 8000 datasets from Defra's data vaults by June 2016 and encourage innovation through hack days and challenges.
Human: Thank you for the summary. Summarize the following additional document:
[DOCUMENT]:
Paul Ashton
Data Mapping, Modelling and Information
Environment Agency
Within England we’re responsible for:
The owner of the Nordic Erika, a general cargo vessel, analyzed retrofit options to reduce fuel costs after new SECA regulations would double their fuel bill. Analyzing 8 options, the best proved to be changing the combinatory drive curve, resulting in up to 20% fuel savings and 2 tons less fuel per day, with the same speed maintained. The director called the savings "revolutionary".
The document discusses Thomson Reuters' data sources, data quality processes, and support model for their investment content. It outlines their key data sources, including EDINET and the Investment Trusts Association of Japan. It also details how their data is checked by tools and analysts to ensure high quality, and describes their systems that provide accurate, complete, and timely fund data to clients. Their support model integrates frontline and local content teams to quickly address client needs.
Environment sector in Sweden within the project BalticSCOPE
www.balticscope.eu
* The information presented is the working exercise of the cross-border maritime spatial planning discussions and can not be treated as the official opinion of the European Commission and the Member States involved in the consortium of the Baltic SCOPE project.
Customer story - Dutch Rail - Synergi LifeSean Flynn
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This document provides a summary of upcoming workshops on Deltares hydrological software:
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2. The proposed project would build a big data platform integrating IoT, big data, and cloud technologies to enable accurate prediction, diagnosis, and maintenance of over 11,000 wind turbines across multiple manufacturers.
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TeamSurv presentation to UK Hydrographic Society, 2011Tim Thornton
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This document summarizes presentations from a meeting on information processing and sensemaking. It discusses the challenges of making sense of large and disparate data sources. It outlines technical challenges in areas like data association, hypothesis generation, and learning relationships from complex data. It also describes several of the UK Ministry of Defense's projects in areas like text analysis, network analysis, and spatiotemporal correlation. Funding opportunities are announced for research proposals to help address technical problems like multi-intelligence fusion and improved sensemaking. Examples of potential approaches and data sources are provided.
Modern tools and techniques can help address challenges in water data management. Water data management platforms use data sharing platforms to integrate data from multiple agencies in a standardized format. These platforms incorporate a hydrological geofabric to establish a single point of truth for water mapping, and use cloud computing to provide scalable access and analysis of large water datasets. For example, a demonstration showed how sensor data, water storage data, and river flow models could be integrated in a sensor cloud to help manage water sharing in a catchment.
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2. Organizations are moving to data-centric approaches to more quickly process bigger survey data, better utilize resources, and transition to being marine data providers. This supports producing new customized products and services for broader user bases.
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5. Why focus on global data services?
Towards services ‘Global’ sets an ambition Market for global information
6. Global Data Services
Incredible content
Develop incredible content such that our members will
not be shy to share the content
Consulting
Allow members to gain access to our consulting
expertise
Paid subscribers
This is optional, not sure yet if this applicable for all
data/services. Ideally everything should be free for
everyone but we need to cover at least our OPEX
Free services
Capture potential members with free-mium model
Data as a Service
Great data
Give access to incredible data such that our clients will
and can re-use the data for their own benefit
Information as a Service
Valuable information
Give access to valuable information such that our
clients will and can re-use the info for their own benefit
Platform as a Service
Collaboration and impact
Allow members and clients to gain access to our data,
information and expertise to collaborate with us and
the community.
Glossis
Global Storm Surge information system
Gloffis
Global Flood Forecast iinformation system
Aquamonitor
Monitoring surface water changes from
space.
Shoreline monitor
Long-term Shoreline Changes
GEBCO
Satellite-derived bathymetry
MetOcean Database
Accurate and detailed database of operational and
extreme metocean parameters for the offshore waters
6
9. 9
Offshore
As a windfarm operator, I want to assess metocean conditions at my
windfarm, to assess workability conditions.
Workability conditions Design conditions FoundationMaintenanceTopics
Wind & wave
climates
Water level
statistics
Future sea
level rise
Future waves
& wind
Extreme
waves
Operational
currents
Regular
bathymetries
Example: MetOcean database. Historic wind and wave climates + statistics based on data of global (external)
models (ERA-Interim, ERA5, CFSR)
Period: 1979 - 2015
Type: Point and map data
Data
?
10.
11. Coastal management
Shoreline positions Trends in shoreline change Storm ImpactTopics
As a coastal manager, I want to assess the state of my coast every
year & after storms, to decide for mitigating measures.
Wind &
wave
climates
Water level
statistics
Extreme
waves
Frequent
bathymetries
Future sea
level rise
Future
waves &
wind
Operational
currents
Regular
bathymetries
Historic
shorelines
On-the-fly
shorelines
changesOperational
waves
Data
Operational
water levels
(tide &
surge)
Operational
Discharge
Example: Shoreline monitor. Historic shoreline erosion and accretion
Period: 1984 - 2017
Type: Point and map data
?
12.
13. Flooding
Flood hazards Flood impact Future floods
As a crisis response manager, I want to assess the flood risk due to the
typhoon approaching the Philippines, to warn the people in time.
Topics
Wind & wave
climates
Water level
statistics
Future sea
level rise
Future waves
& wind
Extreme
wavesOperational
currents
Regular
bathymetries
Operational
waves
Operational
water levels
(tide & surge)
?
Operational
Discharge
Data
Example: GLOSSIS (GTSM) and GLOFFIS
14. Global Tide and Surge Model v3.0
• 2D barotropic model
• Unstructured global grid
(25 km ocean - 2.5km coastal/1.25km EU)
• Bathymetry:
• EMODnet (250m) for EU
• Bedmap2 below lat 60S
• GEBCO 2014 bathymetry(~1km)
• TGF driven, no assimilation
Runtimes in 8 cores ~3.6hour/week
15. GLOSSIS: real-time water level and storm-surge forecasts
at world-wide scale
• Real-time, medium-term forecasts
• Historical timeseries
• anywhere
• Ingredients:
• Deltares expertise: hydrodynamics, storm surge,
wave, bathemetry
• Computational engine: Delft3D FM based GTSM model
• Forecasting platform: Delft-FEWS
• Storage: Deltares OpenArchive
16.
17. GLOFFIS: real-time hydrological forecasts at world-wide scale
• Medium-term and seasonal fluvial flow
forecasts
• Historical timeseries
• anywhere
• Ingredients:
• Deltares expertise: hydrology, WRM, forecasting
• Computational engine: Delft3D FM based
models:
• D-Hydrology (wflow)
• D-Flow FM (1D)
• Forecasting platform: Delft-FEWS
• Storage: Deltares OpenArchive
18.
19. Where are we now with the Global Data Services
• Still under development (early beta stage at present)
• Available on the Deltares network (now)
• Available for external beta-testers Q1 2020 (sign up)
• Official release end of Q1 2020
20. Where are we now and next steps
Develop a platform that has:
• Easy access to (global) data
• Enables quick setup of model & tools
• Includes a Model Analysis Framework
• To support Water Resources Management & Planning
• Upcoming data sets:
• Water levels & currents for RCP4.5 and RCP8.5
• Extreme precipitation due to global warming
• Urbanization and Human Settlements
• …
21. Your feedback is appreciated
• General look and feel
• Which additional features would be useful
• Are the available data sources useful
• What should be changed to make it (more) useful
• What kind of opportunities do you see?