Jekyll2024-03-08T11:18:53+01:00https://candylab.org/feed.xmlcandylab.org, Dr Adam S. CandyDr Adam S. Candy, Mathematical Physicist specialising in Geophysical Environmental Fluid Dynamics and Physical Ocenaography.Dr Adam S. Candyadam@candylab.orghttps://candylab.org/European Space Week EUSW2018, Invited talk *Space as a tool supporting the energy package* in the Marine and Maritime session2018-12-06T00:00:00+01:002018-12-06T00:00:00+01:00https://candylab.org/eusw2018-marine-and-maritime-bluerise-otec<p>On invitation by the European Commission, I presented in the
<a href="https://www.euspaceweek.eu/sessions/marine-and-maritime">Marine and Maritime session</a>
(see also:
<a href="https://www.gsa.europa.eu/newsroom/european-space-expo/european-space-week-2018">GSA news</a>,
<a href="https://www.gsa.europa.eu/sites/default/files/content/marine_and_maritime_parallel_session_agenda.pdf">Schedule</a>,
<a href="https://www.slideshare.net/EU_GNSS/space-as-a-tool-supporting-the-energy-package">Slideshare</a>)
on how space data is now being used to support our future energy security.
This focused on how the <a href="https://www.copernicus.eu/">European Commission Copernicus</a> initiative and its <a href="http://marine.copernicus.eu">Copernicus Marine Environment Monitoring Service (CMEMS)</a> is making a difference to Ocean Energy research and industry.</p>
<p>In collaboration with <a href="http://www.bluerise.nl">Bluerise</a> and TU Delft MSc student Maria Lems-de Jong, we have
used a combination of assimilated data from satellites and local observations to analyse how Ocean Thermal Energy Conversion (OTEC) devices would perform.</p>
<figure class="center">
<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/EUSW2018-Bluerise-CandyAS-teaser.jpg" />
<figcaption>
The talk starts in the Marine and Maritime session.
</figcaption>
</figure>
<h2 id="slides">Slides</h2>
<p>A PDF version of the slides presented at EUSW2018 is available <a href="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/EUSW2018-Bluerise-CandyAS.pdf">here</a>.</p>
<figure id="slide1" style="text-align:right;">
<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/slide/EUSW2018-Bluerise-CandyAS-slide01.jpg" />
<figcaption>
Slide 1 of 10
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/slide/EUSW2018-Bluerise-CandyAS-slide02.jpg" />
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Slide 2 of 10
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Slide 3 of 10
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Slide 4 of 10
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Slide 5 of 10
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/slide/EUSW2018-Bluerise-CandyAS-slide06.jpg" />
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Slide 6 of 10
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/slide/EUSW2018-Bluerise-CandyAS-slide07.jpg" />
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Slide 7 of 10
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Slide 8 of 10
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/slide/EUSW2018-Bluerise-CandyAS-slide09.jpg" />
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Slide 9 of 10
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<figcaption>
Slide 10 of 10
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<h2 id="photos-from-the-session-talk-and-follow-up-roundtable-questions-for-the-panel">Photos from the session talk and follow up roundtable questions for the panel</h2>
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/tweet/EUSW2018-Bluerise-CandyAS-tweet2.jpg" />
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/tweet/EUSW2018-Bluerise-CandyAS-tweet3.jpg" />
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/tweet/EUSW2018-Bluerise-CandyAS-tweet4.jpg" />
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<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/tweet/EUSW2018-Bluerise-CandyAS-tweet5.jpg" />
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<figure class="center">
<img src="/images/2018-12-06-eusw2018-marine-and-maritime-bluerise-otec/tweet/EUSW2018-Bluerise-CandyAS-tweet1-Panel.jpg" />
<figcaption>
Speakers from the Marine and Maritime session at the roundtable panel discussion.
</figcaption>
</figure>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/Invited to speak at EUSW2018, MarseilleUpcoming talk at the Ocean Energy Platform Lunch lecture series: *Supercomputing a sustainable energy future from our oceans*2018-10-22T00:00:00+02:002018-10-22T00:00:00+02:00https://candylab.org/ocean-energy-lunch-lecture<figure style="width: 100%" class="align-right">
<img src="https://candylab.org/images/2018-10-22-ocean-energy-lunch-lecture/oceanenergy_header.jpg" alt="" />
</figure>
<figure style="width: 100%" class="align-right">
<img src="https://candylab.org/images/2018-10-22-ocean-energy-lunch-lecture/CandyAS_OE_seminar_poster.jpg" alt="" />
<figcaption>Ocean Energy Lunch lecture</figcaption>
</figure>
<p><strong>Title:</strong> Supercomputing a sustainable energy future from our oceans
<br />
<strong>Author:</strong> Dr. Adam S. Candy
<br />
<strong>Date:</strong> Monday 29 October 2018
<br />
<strong>Time:</strong> 12.45-13.45 (lunch included)
<br />
<strong>Location:</strong> Faculty 3mE, Collegezaal C, Mekelweg 2, Delft</p>
<p>If you want to join this lecture, please REGISTER via <a href="https://docs.google.com/forms/d/e/1FAIpQLSdg8HYhJbhJ-RhvvsbQ3DtpB95JyfQa7u6Y3UH6Fc9no670Jg/viewform?usp=sf_link">this form</a>.</p>
<h3 id="abstract">Abstract</h3>
<p>The transition to sustainable energy sources is underway. A diverse mix is central to its success and whilst solar and wind have seen a phenomenal transformation in the past decade, ocean energy is in its infancy and yet to take off. Oceans cover more that 70% of the Earth’s surface and are a vast store of energy relative to our global demand. Just the annual increase in heat content alone of the upper ocean is over an order of magnitude larger than world total energy use.</p>
<p>Ocean Energy has significant advantages: unlike other renewables, the resource is continuous, high density, potentially unobtrusive and accessible, with the majority (80%) of populations living within 100km of the ocean. Moreover, unlike other sources, there is a diverse range of different physical ocean processes to tap into and a myriad of approaches to extraction for each. This has the advantage of potentially multi-function ocean energy devices (OEDs), working multiple sources and a high density of extraction. It is then, however, less clear which processes and technology are the best way forward, splitting efforts. This is complicated further by the hostile and remote physical environment of the ocean. Current challenges include:</p>
<ol>
<li>Prototype OEDs and notably Wave Energy Converters (WECs) are found not robust enough in practice.</li>
<li>Lack of confidence in technology (and certification).</li>
<li>Uncertainty in their interaction with the larger ocean environment and energy supply reliability.</li>
</ol>
<p>In this presentation I will show how supercomputing with state-of-the-art (lab and in-situ validated) models can solve these current challenges for Ocean Energy — critical, if it is to become a serious sustainable contender. This includes: 1. New fluid-structure CFD models to capture real physical environment loads on OEDs (for resilience and to guide focus on the best approaches). 2. Optimised power takeoff (PTO) design for energy extraction specific to ocean processes 3. Multi-scale, seamless and fully integrated ocean-to-device assessments (for accurate 2-way coupling, validation in representative conditions, resource optimisations, scalability, future climate feedbacks and impacts to sediment transport, ecosystems and large scale hydrodynamics).</p>
<p>In the words of William Shakespeare (taken from the play Julius Caesar, 1599, via Alistair Borthwick):
<br /><span style="text-indent: 3em; font-style: italic;">
There is a tide in the affairs of men,
</span>
<br /><span style="text-indent: 3em; font-style: italic;">
Which taken at the flood, leads on to fortune.
</span>
<br /><span style="text-indent: 3em; font-style: italic;">
Omitted, all the voyage of their life is bound in shallows and in miseries.
</span>
<br /><span style="text-indent: 3em; font-style: italic;">
On such a full sea are we now afloat.
</span>
<br /><span style="text-indent: 3em; font-style: italic;">
And we must take the current when it serves, or lose our ventures.
</span></p>
<p>For more information, see <a href="https://candylab.org/OceanEnergy">https://candylab.org/OceanEnergy</a>.</p>
<h3 id="bio">Bio</h3>
<p>Adam Candy holds a PhD in Computational Physics from Imperial College London at the Department of Earth Science and Engineering, following past degrees from the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Through his innovations in state-of-the-art multi-scale, adaptive mesh modelling of the ocean and fluid-fluid-structure coupling, he was awarded a prestigious invitation to the Physical Oceanography Dissertation Symposium in Hawaii, a biennial meeting for ~15 future leaders in physical ocean and Earth hydrodynamics.</p>
<p>During his career to date, he has held a James Martin Research Fellowship at the University of Oxford (21st Century Ocean Institute) and a J. Tinsley Oden Faculty Research Fellowship that took him to the University of Texas in Austin (Institute for Computational Engineering and Sciences) and MIT (Earth, Atmospheric and Planetary Sciences). He has co-wrote a successful EC FP7 project and been awarded significant computational time on the world’s largest supercomputers, including Dutch, UK and US national facilities. Adam’s research combines observations with state-of-the-art modelling approaches. He has integrated measurements from an autonomous submarine in hostile Antarctic environments and recently led hydrodynamic modelling and observation at sea for a 4 week expedition onboard the NIOZ RV Pelagia.</p>
<div class="text-center" style="color: red">
<i class="fa fa-star fa-fw fa-blink"></i>
Interested in current research and innovations in Ocean Energy? Join the Ocean Energy journal discussion group
<a href="/oceanenergy-journaldiscussion/">here</a>.
<i class="fa fa-star fa-fw fa-blink"></i>
</div>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/Ocean Energy Platform Lunch lectureOcean Energy Journal Discussion group, register your interest!2018-10-21T00:00:00+02:002018-10-21T00:00:00+02:00https://candylab.org/oceanenergy-journaldiscussion<div style="display: inline-block; clear:both;">
<figure class="align-left">
<img src="https://candylab.org/images/2018-10-21-oceanenergy-journaldiscussion/ocean-energy-journal-discussion_poster.jpg" alt="" />
</figure>
</div>
<p>Sign up to join and meet to discuss key research papers in ocean energy!</p>
<p><span class="error">
<i class="fa fa-star fa-fw fa-blink"></i>
Please note the registration is currently closed, but please feel free to <a href="/contact/">contact me</a> to discuss.
</span></p>
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<!-- END --></p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/A new group to discuss new research and innovations in Ocean EnergyMasters student Lennart Keyzer to defend thesis next Monday 30 Oct2018-10-20T00:00:00+02:002018-10-20T00:00:00+02:00https://candylab.org/msc-sint-maarten-hydrodynamic-model<p><img src="/images/2018-10-20-msc-sint-maarten-hydrodynamic-model/MScThesis_LennartKeyzer.jpg" alt="image-left" class="align-left" />
Next week on 30 Oct, my Masters student Lennart Keyzer will give a public presentation of research on bays in Sint Maarten.
The thesis is titled
<em>“Predicting the impact of sea-level rise in Baie Orientale and Baie de L’Embouchure, Saint Martin.
Application of a hydrodynamic model including seagrass and coral reefs.”</em></p>
<p><strong>Title:</strong> “Predicting the impact of sea-level rise in Baie Orientale and Baie de L’Embouchure, Saint Martin.
Application of a hydrodynamic model including seagrass and coral reefs.”
<br />
<strong>Masters student:</strong> Lennart Keyzer
<br />
<strong>Research committee:</strong> Prof. dr. J.D. Pietrzak, Prof. dr. P.M.J. Herman, Dr. A.S. Candy, Dr. R.E.M. Riva, Ir. B.P. Smits (Deltares)
<br />
<strong>Date:</strong> Tuesday 30 October 2018
<br />
<strong>Time:</strong> 13.30-14.30
<br />
<strong>Location:</strong> CZ G, Faculty Civil Engineering and Geosciences, TU Delft</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/Predicting the impact of sea-level rise in Baie Orientale and Baie de L'Embouchure, Saint Martin. Application of a hydrodynamic model including seagrass and coral reefs.Research presented at the 5th OTEC symposium2017-11-07T00:00:00+01:002017-11-07T00:00:00+01:00https://candylab.org/otec-symposium<p>Master’s student Maria Lems-de Jong presents our paper
at the 5th Ocean Thermal Energy Conversion (OTEC) symposium at
La Réunion, a small island in the Indian Sea east of Madagascar.</p>
<p><img src="/images/2017-11-07-otec-symposium/otec5flag.jpg" alt="image-left" class="align-left" />
<em>Ocean Current Patterns and Variability around Curaçao: An Analysis for Ocean Thermal Energy Conversion</em>
by H.M.L. Lems-de Jong, A.S. Candy, J.S. Hoving, B.J. Kleute and J.D. Pietrzak.</p>
<p>This is a summary of research analysing ocean conditions in the Caribbean using the Mercator Ocean reanalysis datasets,
to evaluate the potential for deployment of Ocean Thermal Energy Conversion (OTEC) plants.
Joint work
in collaboration with
<a href="http://www.bluerise.nl">Bluerise</a>.</p>
<p>Details of the symposium including a meeting schedule are avaialble at:
<a href="http://otecsymposium2017.univ-reunion.fr">http://otecsymposium2017.univ-reunion.fr</a>.</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/Research on the potential to extract energy from the ocean presented by Master's student Maria Lems-de Jong.Opportunity for master’s students to join RV Pelagia expedition2017-10-30T00:00:00+01:002017-10-30T00:00:00+01:00https://candylab.org/msc-opportunity-nico-expedition<p>The RV Pelagia is crossing the Atlantic and there is a chance for master’s students to join the scientific team. Are you interested in a career in oceanography or marine sciences? Join NICO — the National Initiative Changing Oceans! This multidisciplinary scientific expedition organized by NIOZ Sea Research and NWO gives you a view on our changing seas and an exclusive chance for your master thesis.</p>
<p>Scientists in Hydraulic Engineering at TU Delft are actively using the RV Pelagia for ongoing research.
I was part of a scientific team onboard the RV Pelagia last year in a month-long observational campaign over Sababank in the Caribbean, just south-west of the Dutch Leeward islands.
It was a fantastic experience and an opportunity to work in a close-knit team.
The boat is planned to travel from NIOZ Texel to the Caribbean between January — June in 2018. You are challenged to come up with ideas on how 2-4 weeks fieldwork onboard could be used in a master thesis in Hydraulic Engineering!</p>
<p>See the details below, and note there is only a month to apply. Deadline <strong>1st December 2017</strong>.</p>
<p>There are possibilities to develop a MSc project from this, or link with those posted <a href="/opportunities">here</a> on data and modelling of the Caribbean Sea.
<a href="/contact/">Contact me</a> for further details,
and happy to talk through – please visit <a href="/contact/">office 2.87</a> of the CEG building.</p>
<figure style="width: 80%">
<img src="/images/2017-10-30-msc-opportunity-nico-expedition/MSc NICO Invitation for students to join the NICO expedition map.jpg" />
<figcaption>
Map of the planned route for RV Pelagia.
</figcaption>
</figure>
<figure style="width: 80%">
<img src="/images/2017-10-30-msc-opportunity-nico-expedition/MSc NICO Invitation for students to join the NICO expedition.jpg" />
<figcaption>
NICO Invitation for students to join the NICO expedition
</figcaption>
</figure>
<p>A more detail description of the opportunity and application procedure is available in this <a href="/MSc NICO Invitation for students to join the NICO expedition.pdf">PDF download</a>.</p>
<p>There is also additional information on the wider National Initiative Changing Oceans (NICO)
<a href="https://www.nioz.nl/en/events/brede-belangstelling-nationale-expeditie-veranderende-oceanen-widespread-interest-netherlands-expedition-changing-oceans">here on this NIOZ page</a>.</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/The RV Pelagia is crossing the Atlantic and there's a chance to join.Master’s project modelling wave attenuation using the SWAN model2017-10-24T00:00:00+02:002017-10-24T00:00:00+02:00https://candylab.org/msc-project-wave-modelling-caribbean-bays<h2 id="msc-project-wave-modelling-on-caribbean-caostal-bays">MSc project: Wave modelling on Caribbean caostal bays</h2>
<p>A new MSc project investigating wave dynamics in the coastal bays of Sint Maarten in the Caribbean.
Contributing to the NWO-funded project <em>SCENES: Multi-scale modelling of the Caribbean Sea, from global-scale inputs down to complex ‘fractal-like’ bays and inlets</em>.</p>
<ul>
<li>SWAN wave model application</li>
<li>Wave attenuation</li>
<li>Protection offered by coastal ecological system</li>
<li>Morphology and ecosystem interaction</li>
<li>Impact of possible future sea level rise, erosion, changing shape of bays</li>
<li>Possibility to join observational expedition in Sint Maarten or at sea through <a href="/msc-opportunity-nico-expedition">NICO</a></li>
<li>Morphology, biology driven</li>
<li>High Performance Computing</li>
</ul>
<p>Working with
<a href="/contact/">Adam Candy</a>,
<a href="https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjZtfbn17vXAhUM16QKHWRqCdIQFggoMAA&url=https%3A%2F%2Fwww.tudelft.nl%2Fstaff%2Fj.d.pietrzak%2F&usg=AOvVaw1Xk5HJfvY8rA-IGzfbWAzs">Julie Pietrzak</a>,
<a href="https://www.tudelft.nl/citg/over-faculteit/afdelingen/hydraulic-engineering/sections/environmental-fluid-mechanics/staff/zijlema-m/">Marcel Zijlema</a>
and others in Physical Oceanography and Environmental Fluid Mechanics.
Further collaboration with climate modellers at the University of Utrecht and marine biologists at NIOZ.</p>
<p><a href="/contact/">Contact me</a> for further details,
and happy to talk through – please visit <a href="/contact/">office 2.87</a> of the CEG building.
There are <strong>additional possibilities</strong> for MSc projects on data and modelling of the Caribbean Sea that I am happy to talk through.
Some of these can be found
<a href="/opportunities/">here</a>.</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/A new MSc project with SWAN on Caribbean coastal bays.Master’s project modelling biogeomorphodynamics in Caribbean bays2017-10-24T00:00:00+02:002017-10-24T00:00:00+02:00https://candylab.org/msc-project-biogeomorphodynamics<h2 id="msc-project-hydrodynamic--biogeomorphic-model-for-shallow-bays-in-tropical-islands">MSc project: Hydrodynamic ⟶ Biogeomorphic model for shallow bays in tropical islands</h2>
<p>A new MSc project investigating biogeomorphodynamics in Sint Maarten coastal bays,
in collaboration with and funded by <a href="https://www.deltares.nl/en/">Deltares</a>.
Contributing to the NWO-funded project <em>SCENES: Multi-scale modelling of the Caribbean Sea, from global-scale inputs down to complex ‘fractal-like’ bays and inlets</em>.</p>
<div style="padding: 1em 0;">
<video style="display: block; margin: 0 auto;" width="90%" controls="controls" autoplay="" loop="" poster="/images/2017-10-24-msc-project-biogeomorphodynamics/CandyAS_MScBiogeomorphicBayModelling.jpg">
<source src="/images/2017-10-24-msc-project-biogeomorphodynamics/CandyAS_MScBiogeomorphicBayModelling.mp4" type="video/mp4" />
</video>
</div>
<ul>
<li>Delft3D / D-Flow model</li>
<li>Impact of possible future sea level rise, erosion, changing shape of bays</li>
<li>Join observations expedition in Sint Maarten (possibility)</li>
<li>Application of theory</li>
<li>Navier-Stokes based hydrodynamics</li>
<li>Morphology, biology driven</li>
<li>High Performance Computing</li>
</ul>
<p>Working with
<a href="/contact/">Adam Candy</a>,
<a href="https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjZtfbn17vXAhUM16QKHWRqCdIQFggoMAA&url=https%3A%2F%2Fwww.tudelft.nl%2Fstaff%2Fj.d.pietrzak%2F&usg=AOvVaw1Xk5HJfvY8rA-IGzfbWAzs">Julie Pietrzak</a>,
<a href="https://www.tudelft.nl/citg/over-faculteit/afdelingen/hydraulic-engineering/sections/environmental-fluid-mechanics/staff/zijlema-m/">Marcel Zijlema</a>
and others in Physical Oceanography and Environmental Fluid Mechanics.
Further collaboration with climate modellers at the University of Utrecht and marine biologists at NIOZ.</p>
<p>Download a <a href="/CandyAS_MScBiogeomorphicBayModelling.pdf">PDF version</a> of the project description.</p>
<p><a href="/contact/">Contact me</a> for further details,
and happy to talk through – please visit <a href="/contact/">office 2.87</a> of the CEG building.
There are <strong>additional possibilities</strong> for MSc projects on data and modelling of the Caribbean Sea also that I am happy to talk through.
Some of these can be found
<a href="/opportunities/">here</a>.</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/A new MSc project investigating biogeomorphodynamics in Sint Maarten coastal bays, in collaboration with Deltares.Master’s project applying EOF analysis in the Caribbean Sea2017-10-18T00:00:00+02:002017-10-18T00:00:00+02:00https://candylab.org/msc-project-eof-correlations-in-the-Caribbean<p>A new MSc project in physical oceanography studying processes in the Caribbean Sea basin.
This will build on existing efforts using EOF analysis to identify correlations between ocean, weather and climate processes.
Contributing to the NWO-funded project <em>SCENES: Multi-scale modelling of the Caribbean Sea, from global-scale inputs down to complex ‘fractal-like’ bays and inlets</em>.</p>
<ul>
<li>Physical Oceanography</li>
<li>EOF correlation analysis</li>
<li>Oceanographic processes</li>
<li>Multi-scale from climate, global scales down to Caribbean bays</li>
<li>Hydrodynamics and river plume interaction</li>
<li>Possibility to join observational expedition in Sint Maarten or at sea through <a href="/msc-opportunity-nico-expedition">NICO</a></li>
</ul>
<p>Working with
<a href="/contact/">Adam Candy</a>,
<a href="https://www.google.nl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjZtfbn17vXAhUM16QKHWRqCdIQFggoMAA&url=https%3A%2F%2Fwww.tudelft.nl%2Fstaff%2Fj.d.pietrzak%2F&usg=AOvVaw1Xk5HJfvY8rA-IGzfbWAzs">Julie Pietrzak</a>,
<a href="https://www.tudelft.nl/citg/over-faculteit/afdelingen/hydraulic-engineering/sections/environmental-fluid-mechanics/staff/zijlema-m/">Marcel Zijlema</a>
and others in Physical Oceanography and Environmental Fluid Mechanics.
Further collaboration with climate modellers at the University of Utrecht and marine biologists at NIOZ.</p>
<p><a href="/contact/">Contact me</a> for further details,
and happy to talk through – please visit <a href="/contact/">office 2.87</a> of the CEG building.
There are <strong>additional possibilities</strong> for MSc projects on data and modelling of the Caribbean Sea that I am happy to talk through.
Some of these can be found
<a href="/opportunities/">here</a>.</p>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/A new MSc project in physical oceanography applying EOF analysis.Published paper: *Shingle 2.0: generalising self-consistent and automated domain discretisation for multi-scale geophysical models*2017-10-09T00:00:00+02:002017-10-09T00:00:00+02:00https://candylab.org/shingle-paper-published<p>I have published a new paper on automated spatial domain mesh discretisations in the <a href="https://www.geosci-model-dev-discuss.net/gmd-2017-47/">Journal of Geoscientific Model Development</a>.</p>
<ul>
<li>Candy A.S. and Pietrzak J.D. (2017)
<a href="https://doi.org/10.5194/gmd-11-213-2018">Shingle 2.0: generalising self-consistent and automated domain discretisation for multi-scale geophysical models</a>,
see also
<a href="http://arxiv.org/abs/1703.08504">arXiv:1703.08504</a>,
<em>Geosci. Model Dev.</em>.</li>
</ul>
<figure class="align-center" style="width: 95%; margin-top:0.8em;">
<img src="/images/2017-10-09-shingle-paper-published/challenge.png" />
<figcaption>
<strong>The challenge</strong>:
to generate a self-consistent domain discretisation approach for geophysical domains
that is generalised such that it can be applied to a wide range of applications,
with new domains efficiently prototyped and iterated on,
and is fully described such that
the process can be automated,
is reproducible
and easily shared.
(a) shows a typical source Digital Elevation Map (DEM) dataset
(that naturally lend themselves to structured grid generation)
used to produce a regular grid of the Atlantic Ocean (e.g. under a format-native land mask) in (b),
and a selection of
unstructured mesh spatial discretisations:
(c) Bounded by part of the Chilean coastline and a meridian.
(d) North Sea.
(e) Global oceans.
(f) Grounding line of the Filchner-Ronne ice shelf ocean cavity up to the 65\degree S parallel, with
surface geoid mesh \(\mathcal{T}_h\),
full mesh \(\mathcal{T}\) with ice-ocean melt interface highlighted,
and accompanied by ice sheet full discretisation.
(g) Greenland ice sheet.
</figcaption>
</figure>
<h2 id="summary">Summary</h2>
<p>Shingle is a new approach to describing and generating spatial mesh discretisations for multi-scale geophysical domains. Its novel use of an extendable, hierarchical formal grammar and natural language basis for geophysical features achieves robust reproduction and enables consistent comparison between models. This is designed to support the increase in complexity as models include a greater range of spatial scales and future-proof simulation set-up.</p>
<h2 id="abstract">Abstract</h2>
<p>The approaches taken to describe and develop spatial discretisations of the domains required for geophysical simulation models are commonly ad hoc, model or application specific and under-documented. This is particularly acute for simulation models that are flexible in their use of multi-scale, anisotropic, fully unstructured meshes where a relatively large number of heterogeneous parameters are required to constrain their full description. As a consequence, it can be difficult to reproduce simulations, ensure a provenance in model data handling and initialisation, and a challenge to conduct model intercomparisons rigorously.</p>
<p>This paper takes a novel approach to spatial discretisation, considering it much like a numerical simulation model problem of its own. It introduces a generalised, extensible, self- documenting approach to carefully describe, and necessarily fully, the constraints over the heterogeneous parameter space that determine how a domain is spatially discretised. This additionally provides a method to accurately record these constraints, using high-level natural language based abstractions, that enables full accounts of provenance, sharing and distribution. Together with this description, a generalised consistent approach to unstructured mesh generation for geophysical models is developed, that is automated, robust and repeatable, quick-to-draft, rigorously verified and consistent to the source data throughout. This interprets the description above to execute a self-consistent spatial discretisation process, which is automatically validated to expected discrete characteristics and metrics.</p>
<h2 id="a-selection-of-graphical-highlights">A selection of graphical highlights</h2>
<h3 id="library-schematic">Library schematic</h3>
<figure class="align-center" style="width: 95%; margin-top:0.8em;">
<img src="/images/2017-10-09-shingle-paper-published/process.png" />
<figcaption>
A schematic illustrating the generalised approach to flexible unstructured mesh specification and generation for geophysical models.
The hierarchy of automation (tenet 7) is highlighted, from
a relatively simple high-level interaction:
{Diamond GUI \(\leftrightarrow\) Shingle \(\rightarrow\) Mesh},
to complex low-level development communicating with the LibShingle library.
Nomenclature defined in section 2 of the paper.
</figcaption>
</figure>
<h3 id="approach-for-integration-of-generalised-spatial-domain-discretisation-into-geophysical-simulation-models">Approach for integration of generalised spatial domain discretisation into geophysical simulation models</h3>
<figure class="align-center" style="width: 95%; margin-top:0.8em;">
<img src="/images/2017-10-09-shingle-paper-published/unified.png" />
<figcaption>
Framework for generalised spatial domain discretisation for geophysical model simulations.
A formal spatial domain constraint description
(a model-independent grouping of high-level directives describing key geospatial boundaries and features, required spatial resolution and source datasets)
for a specific study (e.g. the geography to include in a CMIP intercomparison study) is
joined with specific constraints from a simulation model, depending on its internal numerical discretisations and field representations
(e.g. following Gridspec (Balaji et al., 2007), or a UFL description (Alnæs et al., 2014)).
These constraints are used by the interpreter Shingle to produce, in a robust, automated, repeatable process, a model-specific mesh spatial discretisation.
Moreover, the latter description is further used to specify numerical simulation output representation
(as CMIP uses Gridspec).
</figcaption>
</figure>Dr Adam S. Candyadam@candylab.orghttps://candylab.org/I have published a new paper on automated spatial domain mesh discretisations.