Briefing Paper Atlant S - Digital (PDF)
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Atlant S
Briefing Paper
June 2017
Ocean Observing for Society – AtlantOS
products and services
Message from the Editors
Sandra Ketelhake (GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany)
Jan-Stefan Fritz (German Marine Research Consortium)
T
he second AtlantOS serve key societal benefit by Gianandrea Mannarini.
briefing paper focuses areas is explained by Nadia Finally, Patrick Lehodey
on the societal benefits of Pinardi and Caroline Cusack. presents the development of
ocean observing. The objectives Kevin Horsburgh introduces an operational forecast system
guiding AtlantOS are spelled- a comprehensive world for the Atlantic albacore tuna.
out in the Essential Ocean map being developed to
Variables, which describe that increase safety along Atlantic We hope you enjoy this second
information we need about the Ocean coasts. Why a new briefing paper. For questions to
oceans to address most societal paradigm for ship routing this paper or suggestions for
benefits. In order remain development represents a future topics, please contact
manageable in the project, societal benefit is shown us at: atlantos@geomar.de
specific societal benefit areas
have been focused on as case
studies. Overall, our aim is to
link these cases so as to enhance
and optimise the system
overall, thus establishing a
more fit-for-purpose system,
which delivers key information
and decision support tools
for a variety of marine actors
including for economic sectors.
This paper presents examples
of work being done in AtlantOS
to link ocean observations with
specific user needs and societal
benefits. Figure 1 illustrates
how AtlantOS supports the
value chain in general. The
vision of how AtlantOS will Figure 1: AtlantOS Value Chain, Credit: Martin Künsting
http://www.atlantos-h2020.eu 1
Achieving of societal benefits by using ocean observation, modelling and information Nadia Pinardi (University of Bologna, Italy) Caroline Cusack (Marine Institute, Ireland) AtlantOS has the ambition of Sustainable Development Environment Monitoring delivering a suite of end-user Goals 13 “Climate Action” Service (CMEMS) and the products/services targeted at and 14 “Life below water”. European Marine Observation marine issues of societal concern The main products/services and Data Network (EMODnet) for Atlantic maritime nations. developed by AtlantOS cover data assembly portals. These products/services will the following themes: disaster Integration of marine data enhance the safety of coastal risk reduction (coastal flooding from combined sources for communities and promote risk mapping, maritime end-user products has been a economic development in transport efficient ship challenge within the marine key emerging marine and routing, harmful algal blooms, and maritime communities for maritime sectors through better oil spill hazard mapping), several decades. AtlantOS pilot decision support tools and resource assessment (offshore products/services are tangible integrated products/services, aquaculture, fisheries) and outputs from the integration of using ocean observations, finally climate descriptors Earth observation, in-situ data modelling and information for environmental reporting. systems and model analyses, on human related activities. AtlantOS product/service reanalysis and forecasts to At the more political level, prototypes, have a high level create useful products of value AtlantOS products/services of technological readiness and to blue growth priority areas. will contribute substantially use existing observational to the GEO Blue Planet and modelling platforms such initiative and the UN as the Copernicus Marine Increasing Atlantic Ocean coastal safety – Developing a comprehensive world map of storm surges Kevin Horsburgh (National Oceanographic Centre, UK) Coastal flooding represents one Sandy caused 106 deaths and high tides interact, providing of the major challenges of global damages exceeding $60 Billion. proof that any storm surge can climate change for humanity. Within the AtlantOS project occur on any tide. This is a big Storm surges and oceanic we are improving methods for step forward for estimating waves are the major cause of estimating extreme sea levels the statistics for extreme water extreme sea levels, causing around the Atlantic and more levels. Our work also provides devastating coastal impacts widely. We will develop a the systematic best practice to around the world. Storm comprehensive world picture identifying storm surges from surges caused by mid-Atlantic of storm surge distribution for a tide gauge record – and long- weather systems can increase both tropical and extra-tropical term high-quality sea level sea levels by 4 m and hurricane cyclones. We have already observations are a vital part of surges can be as high as 10 m. published new understanding any coastal observing system. In the US in 2012, Hurricane about how storm surges and 2 http://www.atlantos-h2020.eu
We are now using a global final product will be a map of cost-effective coastal defences
tide-surge computer model to storm surge climate that will and emergency response
apply our storm surge analysis enhance the safety of coastal to severe coastal flooding.
technique to global model communities, in the Atlantic
results, and then combine and worldwide, by providing
with the tide gauge data. The the information needed for
Towards a new paradigm for ship routing
Gianandrea Mannarini (Euro-Mediterranean Center on Climate Change, Italy)
Contemporary maritime policies, open-source modular approach from
shipping is shaped by the software licensing and interoperability will break
increasing demand for open-review publications the “all-in-house” chain
global transport of goods, are needed for enabling from model development
the scientific awareness of high-quality knowledge- to service provision. Ship
the environmental impact based research products. routing models deriving
of human activities, and the VISIR, on which the from open research
enhanced predictive capacity AtlantOS ship routing will will provide a valuable
of the geophysical system, be based, is a general public platform for commercial
based on networking of the licensed open-source model. enterprises aiming to
observational assets as well as 2. User-centric perspective: deliver specific applications.
on their combination into high- As part of the open
resolution operational systems. innovation paradigm, Following this paradigm,
These three factors influence living-lab approaches and the AtlantOS task on ship
the degree of control that we stakeholders’ involvements routing will help to achieve
have in economic efficiency, are increasingly employed a maritime transport system
environmental impact tools for shaping both that is resource-efficient, more
reduction and human safety definition and development climate and environmental
in the search for always-fitter of research activities friendly and, most
maritime routes. To address this in early design stages. importantly, safer for humans.
challenge and to achieve the 3. Sounder validation: As
related opportunities, AtlantOS research products become
seeks to deliver some of the openly accessible tools
observational data required for built around the end-
carrying out reanalysis models user, a deeper validation
that produce multi-dimensional will be required, making
wave and current fields. These a more intense use of
will in turn be used as an input analytical benchmarks,
for an algorithm to extract method inter-comparisons,
cost-efficient ship routes in the and verification with
Atlantic. In order to compute field experiments.
safe routes, the AtlantOS routing 4. Interoperability: Following
will consider both static (such the work done for
Figure 2: The five-element
as shoals) and dynamic (such geospatial data, a standard
paradigm of modern ship routing.
as parametric roll on container route-exchange format has
The arrows show the relationships
ships) safety constraints. been recently published
among paradigm elements
A five-element modelling and will also facilitate
paradigm will be followed in inter-comparison studies.
the implementation of this ship 5. Model-service decoupling:
routing model (cf. figure 2): Distributed knowledge
1. Open-science: Open-data from open-science and
http://www.atlantos-h2020.eu 3SEAPODYM – Developing an operational
forecast system for Atlantic albacore tuna
Patrick Lehodey (Collecte Localisation Satellites SA, France)
Fisheries regulations need time and space of a target research sampling and collect of
to rely on the best available fish species by age class from fishing statistics, and in fighting
scientific advice to ensure that larvae to oldest adults and can against illegal, unregulated
fish stock exploitation levels distinguish between fishing and unreported (IUU) fishing
remain sustainable over the long impact and natural variability activity by pointing on potential
term. Fish population dynamics (environment and climate). critical areas to control. It will
models are essential tools used The different fisheries are help also to better understand
to estimate fishing impact described according to their changes in catch rates due
and provide key indicators of characteristics (fishing gear, to environmental variability.
exploitation, for example the strategy, size selectivity, etc…) Finally, the system can be used
Maximum Sustainable Yield and their catch included to in a hindcast mode to simulate
(MSY). Research is progressing measure the fishing impact. and analyse the impact of
to provide a new generation of The operational system should various management scenarios
models including data about help to improve real-time including spatio-temporal
both fisheries and the impact monitoring of fishing activity measures (e.g., Marine Protected
of environmental variability and stock assessment analyses. space and no-fishing zones).
with explicit detailed spatial It can assist in designing
representation. This is made
possible with the continuous
progress on monitoring key
oceanic variables with both in
situ and satellite data, that are
then assimilated in numerical
models describing realistically
the physical and biogeochemical
states of the ocean.
One demonstration is
proposed in AtlantOS with the
application of the SEAPODYM Figure 3 – The AtlantOS SEAPODYM operational forecast system for
model to the case of Atlantic the Atlantic albacore tuna is calibrated on a 1° x month grid over his-
albacore tuna population and torical period 1980-2010 (left: adult albacore distribution in May) and
fisheries. SEAPODYM (Spatial is downscaled to the operational configuration at higher (1/4° x week)
Ecosystem And Population resolution (right: surface micronekton biomass on week 22-29 Mar
Dynamics Model) simulates 2017), using Mercator-Ocean physical fields (temperature and current)
the change in abundance over and primary production derived from satellite ocean colour data.
The H2020 EU project AtlantOS pools the effort of 57 European and 5 non-European partners from
18 countries to collaborate on optimising and enhancing Atlantic Ocean observing. The project
has a budget of € 21 Million for 4 years (April 2015 – June 2019) and is coordinated by GEOMAR
Helmholtz Centre for Ocean Research Kiel, Germany (Prof. Martin Visbeck).
This project has received funding from the European Union‘s Horizon 2020 research and
innovation programme under grant agreement No. 633211.
Graphics & Layout by Blue Lobster (UK) www.bluelobster.co.uk
http://www.atlantos-h2020.eu 4You can also read
