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Observation Systems,
Technologies and Big Data

Alastair McKinstry
EPA Climate Workshop, 19 September 2013
ICHEC overview
National Technology Centre
Established in 2005
Hosted by NUI Galway
Mandate:
HPC & Big Data/Data Analytics
Industry engagement
Platform Science & Technology
25 staff in Dublin & Galway
Mix of software developers,
domain specialists
4 in Climate/Environmental area

EPA Climate Workshop, 19 September 2013

2
Old vs New: a x1000 step change
Old:
•  Everybody downloads the
data
•  e.g. data on 50km
grid. Few MB/day.
•  1-3 bands.

New:
•  Move the work to the data
–  100+ GB/day
–  20-60m resolution, 12-15
bands

EPA Climate workshop, 19 September 2013

3
Big Data: Networking
•  ICHEC and HEAnet have 10gb links
–  Not affordable on commercial rates
–  Used in CMIP5 data project with eINIS
–  Point-to-Point with European partners

•  Move one copy to Ireland, process it at an
“Exploitation portal”
–  Share workflows.
–  Processing triggered on data arrival
EPA Climate workshop, 19 September 2013

4
Big Data: Compute
•  Workflows are no longer a “hobby” task
–  Not on a simple PC at 20-50m, but …
•  GPGPUs/ Intel MIC Accelerators:
–  80 Tflop/s of capability on upcoming ICHEC system
–  C.f. 40 Tflop/s needed to process EUMETSAT data
•  Shared workflows: atmospheric correction, QA
•  ICHEC has portal experience: BDI, Bioportal,
•  Automated: repeatability.
SFI Review – Royal Irish Academy, Dublin – 21st October 2010

5
Curation: an unsolved problem
•  What to keep?
•  Useful to Ireland:
–  Products, raw data not archived at primary sites
–  Archiving “just Ireland” gives valuable time series

ICHEC could provide a platform for this:
–  Funding needed from Beneficiaries or agencies.
–  Lack of sustainability a problem (C4I, CMIP5)
–  Curation needs human work: data scientists.
SFI Review – Royal Irish Academy, Dublin – 21st October 2010

6
Processing in Ireland ?
•  Some products may not be
produced upstream
–  E.g. Algal blooms for North
Atlantic
•  Need rapid processing
of raw data
•  Critical for aquaculture
•  Time critical.
–  May pave way for ground
station for later satellites
EPA Climate workshop, 19 September 2013

7
Data Fusion
•  Combining Remote Sensing
data with other datasets:
–  Ground truthing
–  Precipitation, soil
moisture (SMOS), runoff,
river gauges, …

•  Needs consistent data,
interoperability:
–  Technical limitations
–  Orgs. To make data
available to each other:
collaborations
EPA Climate workshop, 19 September 2013

8
Combining with models
•  Experience with weather and climate
•  Coupling models and data
assimilation key science skills at
ICHEC
•  “Virtual Ireland” : assimilating
observations and model data for
•  Pollution control: e.g. ICOS
•  Flooding, hydrology
•  Policy analysis
EPA Climate workshop, 19 September 2013

9
Other datasets
•  Not just Remote Sensing:
–  Make other datasets available: same grids, etc.
•  Model data, observations,

–  Somewhere for users to upload data:
•  Indexed, Archived, remapped to new formats
•  Data scientists who understand metadata and the
science behind the data

EPA Climate workshop, 19 September 2013

10
Citizen Science
•  Data to the citizen:
–  A portal for making datasets available:
–  Making WxS layers available for GIS, Google
Earth, …
–  Enable “mashups”, analysis apps.

•  From the citizen:
–  Smart apps for uploading observations,
measurements
EPA Climate workshop, 19 September 2013

11
Global opportunities
•  Commercial spinoffs: tech. startups looking for
testbeds of global opportunities
–  Promote tech. sector in Ireland, not just
exploitation of data in Ireland
e.g. showcase big databases, fast networks

EPA Climate workshop, 19 September 2013

12
New value in old data
•  The big investment has been made
–  Ireland’s contribution to ESA,
–  “Random” Datasets in public sector, academia

•  Applications in:
–  Agriculture
–  Policy and planning
–  Tourism
EPA Climate workshop, 19 September 2013

13

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ICHEC - Observation systems, technologies and big data

  • 1. Observation Systems, Technologies and Big Data Alastair McKinstry EPA Climate Workshop, 19 September 2013
  • 2. ICHEC overview National Technology Centre Established in 2005 Hosted by NUI Galway Mandate: HPC & Big Data/Data Analytics Industry engagement Platform Science & Technology 25 staff in Dublin & Galway Mix of software developers, domain specialists 4 in Climate/Environmental area EPA Climate Workshop, 19 September 2013 2
  • 3. Old vs New: a x1000 step change Old: •  Everybody downloads the data •  e.g. data on 50km grid. Few MB/day. •  1-3 bands. New: •  Move the work to the data –  100+ GB/day –  20-60m resolution, 12-15 bands EPA Climate workshop, 19 September 2013 3
  • 4. Big Data: Networking •  ICHEC and HEAnet have 10gb links –  Not affordable on commercial rates –  Used in CMIP5 data project with eINIS –  Point-to-Point with European partners •  Move one copy to Ireland, process it at an “Exploitation portal” –  Share workflows. –  Processing triggered on data arrival EPA Climate workshop, 19 September 2013 4
  • 5. Big Data: Compute •  Workflows are no longer a “hobby” task –  Not on a simple PC at 20-50m, but … •  GPGPUs/ Intel MIC Accelerators: –  80 Tflop/s of capability on upcoming ICHEC system –  C.f. 40 Tflop/s needed to process EUMETSAT data •  Shared workflows: atmospheric correction, QA •  ICHEC has portal experience: BDI, Bioportal, •  Automated: repeatability. SFI Review – Royal Irish Academy, Dublin – 21st October 2010 5
  • 6. Curation: an unsolved problem •  What to keep? •  Useful to Ireland: –  Products, raw data not archived at primary sites –  Archiving “just Ireland” gives valuable time series ICHEC could provide a platform for this: –  Funding needed from Beneficiaries or agencies. –  Lack of sustainability a problem (C4I, CMIP5) –  Curation needs human work: data scientists. SFI Review – Royal Irish Academy, Dublin – 21st October 2010 6
  • 7. Processing in Ireland ? •  Some products may not be produced upstream –  E.g. Algal blooms for North Atlantic •  Need rapid processing of raw data •  Critical for aquaculture •  Time critical. –  May pave way for ground station for later satellites EPA Climate workshop, 19 September 2013 7
  • 8. Data Fusion •  Combining Remote Sensing data with other datasets: –  Ground truthing –  Precipitation, soil moisture (SMOS), runoff, river gauges, … •  Needs consistent data, interoperability: –  Technical limitations –  Orgs. To make data available to each other: collaborations EPA Climate workshop, 19 September 2013 8
  • 9. Combining with models •  Experience with weather and climate •  Coupling models and data assimilation key science skills at ICHEC •  “Virtual Ireland” : assimilating observations and model data for •  Pollution control: e.g. ICOS •  Flooding, hydrology •  Policy analysis EPA Climate workshop, 19 September 2013 9
  • 10. Other datasets •  Not just Remote Sensing: –  Make other datasets available: same grids, etc. •  Model data, observations, –  Somewhere for users to upload data: •  Indexed, Archived, remapped to new formats •  Data scientists who understand metadata and the science behind the data EPA Climate workshop, 19 September 2013 10
  • 11. Citizen Science •  Data to the citizen: –  A portal for making datasets available: –  Making WxS layers available for GIS, Google Earth, … –  Enable “mashups”, analysis apps. •  From the citizen: –  Smart apps for uploading observations, measurements EPA Climate workshop, 19 September 2013 11
  • 12. Global opportunities •  Commercial spinoffs: tech. startups looking for testbeds of global opportunities –  Promote tech. sector in Ireland, not just exploitation of data in Ireland e.g. showcase big databases, fast networks EPA Climate workshop, 19 September 2013 12
  • 13. New value in old data •  The big investment has been made –  Ireland’s contribution to ESA, –  “Random” Datasets in public sector, academia •  Applications in: –  Agriculture –  Policy and planning –  Tourism EPA Climate workshop, 19 September 2013 13