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THE ROLE OF SC5 IN
THE BDE PROJECT
NCSR “Demokritos”
6 November
2017
Physical background
 Societal Challenge 5: Climate action,
environment, resource efficiency and raw
materials
 The earth’s atmosphere is the physical
background of the pilot use cases developed
for SC5 by NCSRD in the framework of the
BigDataEurope project
11-oct.-16www.big-data-europe.eu
Atmosphere – related
applications
 Weather prognosis
 Climate change prognosis
 Air pollution abatement / early warning /
countermeasures
o Anthropogenic emissions: routine (industry,
transports, domestic, etc.), accidental (nuclear,
chemical), malevolent (terrorist) – unannounced
releases
o Natural emissions (e.g., volcanic eruptions)
11-oct.-16www.big-data-europe.eu
Tools for atmospheric
applications
 Measuremen
ts (from earth
or space)
o Temperature
, wind
velocity,
humidity,
etc.
11-oct.-16www.big-data-europe.eu
Tools for atmospheric
applications
 Measurements
o Concentrations of
pollutants (gaseous,
particulate)
11-oct.-16www.big-data-europe.eu
Tools for atmospheric
applications
 Computational modelling
o Weather prognosis, climate change
 Ensemble weather forecasting
o Dispersion and transformations of pollutants
 Emergency response
 Air quality (routine emissions)
11-oct.-16www.big-data-europe.eu
Computational
modelling
 Weather prognosis
o Computation of wind
field: sea breeze in
coastal areas
11-oct.-16www.big-data-europe.eu
Computational modelling
 Climate change and
impacts
o Dynamical
downscaling from
global to regional and
local scales
11-oct.-16www.big-data-europe.eu
Computational modelling
11-oct.-16www.big-data-europe.eu
 Local scale
dispersion
modelling:
o Ground deposition
and internal dose
following a
hypothetical RDD
explosion in a real
city centre QUIC Model, installed and run in NCSRD with the
financial support of EC DG Home, project IMAGES
Computational modelling
11-oct.-16www.big-data-europe.eu
 Regional scale
dispersion modelling
o Dispersion of ash from
the Eyjafjallajökull
volcano in Iceland
Dispersion by DIPCOT model,
NCSRD
Meteorological data produced by
WRF
Computational modelling:
Global-scale dispersion, Fukushima
accident
11-oct.-16www.big-data-europe.eu
2 days 4 days 6 days
8 days 10 days 12 days
HYSPLIT, NOOA, US model, run by NCSRD
Computational modelling
 Emergency
response
o Dispersion of
radioactive
pollutants
(JRODOS)
o Decision Support
Systems handle
large databases
11-oct.-16www.big-data-europe.eu
Computational Modelling:
Air quality – photochemistry
11-oct.-16www.big-data-europe.eu
Photochemistry by CMAQ, meteorology by WRF, run by NCSRD
Tools for atmospheric
applications
 Combination of model and measurements →
“data assimilation”
o Weather forecasting: initialization and 4DDA
o Dispersion “inverse” modelling for unknown
source estimation and sensitivity assessment
 The 2nd BDE SC5 pilot use case presents a
tool for estimation of unknown source location
11-oct.-16www.big-data-europe.eu
Scales of atmospheric motions
11-oct.-16www.big-data-europe.eu
• Atmospheric
motions consist of
interconnected
eddies with vast
range of size- and
time-scales
Connection to BDE
 The atmosphere is a complex system
 To describe it we use complex partial differential
equations
 The equations are solved numerically on computational
meshes consisting of up to millions or tens-of-millions
points
 Large volumes of monitoring data are also assimilated
 Computer capacity increases
 Big Data tools become necessary 11-oct.-16www.big-data-europe.eu
Conclusion – Aim of pilot use
cases
 Atmospheric-related applications produce or
use large volumes of (possibly heterogeneous)
data
 To demonstrate ways that tools provided by
BDE can contribute to more efficient
management / processing / exploitation of
these data
11-oct.-16www.big-data-europe.eu
Questions?
29/11/2017www.big-data-europe.eu
 BigDataEurope Web site:
https://www.big-data-europe.eu
 Big Data Integrator:
https://github.com/big-data-europe
 Thank you for your attention!

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The Role of SC5 in the BDE Project

  • 1. THE ROLE OF SC5 IN THE BDE PROJECT NCSR “Demokritos” 6 November 2017
  • 2. Physical background  Societal Challenge 5: Climate action, environment, resource efficiency and raw materials  The earth’s atmosphere is the physical background of the pilot use cases developed for SC5 by NCSRD in the framework of the BigDataEurope project 11-oct.-16www.big-data-europe.eu
  • 3. Atmosphere – related applications  Weather prognosis  Climate change prognosis  Air pollution abatement / early warning / countermeasures o Anthropogenic emissions: routine (industry, transports, domestic, etc.), accidental (nuclear, chemical), malevolent (terrorist) – unannounced releases o Natural emissions (e.g., volcanic eruptions) 11-oct.-16www.big-data-europe.eu
  • 4. Tools for atmospheric applications  Measuremen ts (from earth or space) o Temperature , wind velocity, humidity, etc. 11-oct.-16www.big-data-europe.eu
  • 5. Tools for atmospheric applications  Measurements o Concentrations of pollutants (gaseous, particulate) 11-oct.-16www.big-data-europe.eu
  • 6. Tools for atmospheric applications  Computational modelling o Weather prognosis, climate change  Ensemble weather forecasting o Dispersion and transformations of pollutants  Emergency response  Air quality (routine emissions) 11-oct.-16www.big-data-europe.eu
  • 7. Computational modelling  Weather prognosis o Computation of wind field: sea breeze in coastal areas 11-oct.-16www.big-data-europe.eu
  • 8. Computational modelling  Climate change and impacts o Dynamical downscaling from global to regional and local scales 11-oct.-16www.big-data-europe.eu
  • 9. Computational modelling 11-oct.-16www.big-data-europe.eu  Local scale dispersion modelling: o Ground deposition and internal dose following a hypothetical RDD explosion in a real city centre QUIC Model, installed and run in NCSRD with the financial support of EC DG Home, project IMAGES
  • 10. Computational modelling 11-oct.-16www.big-data-europe.eu  Regional scale dispersion modelling o Dispersion of ash from the Eyjafjallajökull volcano in Iceland Dispersion by DIPCOT model, NCSRD Meteorological data produced by WRF
  • 11. Computational modelling: Global-scale dispersion, Fukushima accident 11-oct.-16www.big-data-europe.eu 2 days 4 days 6 days 8 days 10 days 12 days HYSPLIT, NOOA, US model, run by NCSRD
  • 12. Computational modelling  Emergency response o Dispersion of radioactive pollutants (JRODOS) o Decision Support Systems handle large databases 11-oct.-16www.big-data-europe.eu
  • 13. Computational Modelling: Air quality – photochemistry 11-oct.-16www.big-data-europe.eu Photochemistry by CMAQ, meteorology by WRF, run by NCSRD
  • 14. Tools for atmospheric applications  Combination of model and measurements → “data assimilation” o Weather forecasting: initialization and 4DDA o Dispersion “inverse” modelling for unknown source estimation and sensitivity assessment  The 2nd BDE SC5 pilot use case presents a tool for estimation of unknown source location 11-oct.-16www.big-data-europe.eu
  • 15. Scales of atmospheric motions 11-oct.-16www.big-data-europe.eu • Atmospheric motions consist of interconnected eddies with vast range of size- and time-scales
  • 16. Connection to BDE  The atmosphere is a complex system  To describe it we use complex partial differential equations  The equations are solved numerically on computational meshes consisting of up to millions or tens-of-millions points  Large volumes of monitoring data are also assimilated  Computer capacity increases  Big Data tools become necessary 11-oct.-16www.big-data-europe.eu
  • 17. Conclusion – Aim of pilot use cases  Atmospheric-related applications produce or use large volumes of (possibly heterogeneous) data  To demonstrate ways that tools provided by BDE can contribute to more efficient management / processing / exploitation of these data 11-oct.-16www.big-data-europe.eu
  • 18. Questions? 29/11/2017www.big-data-europe.eu  BigDataEurope Web site: https://www.big-data-europe.eu  Big Data Integrator: https://github.com/big-data-europe  Thank you for your attention!