Climate Wikience: A Summary of Results
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Discovery of synoptic patterns of climate variability and change using data mining and high performance computing
Climate Wikience: A Summary of Results
DevelopersZapletin E.A., Melnykov A.I.
Donetsk National Technical University
Ukraine
Ideas, Architect, Slides Rodriges Zalipynis R.A.
P.I.Prof. Averin G.V.
SpeakerProf. Bashkov E.A.
The Wikience Concept
Let’s “create” new analysts!
Usually domain experts have a solid background on the subject. They will perform very well without computer scientists, even if equipped with much simpler tools. They know what to seek and how to seek. Many active experts are currently uninvolved, especially operational professionals.
WikienceOriginates from Wiki + Science
Wikience – international pronunciation rather than wiki science
Wiki science – already reserved – is the study of how the phenomenon of wikis, and free, open collaborative works in general (like free software and open source), are growing, changing and adapting.http://en.wikiversity.org/wiki/Wiki_science
Reanalysis archivesInterpolate all available data by statistical and numerical methods on regular latitude-longitude grid
Pioneer, released in 1996
NCEP/NCAR Reanalysis 1
1949 – present
2.5 x 2.5 grid
Applications
From simple warming trends to validation of climate models
Reanalysis archives• NCEP/NCAR 2• ERA-40, ERA-15• ERA-Interim• JRA-25• NOAA-CIRES 20CR• NASA MERRA• NCEP CFSR
Over 9 000 publications reference
Kalnay et al., The NCEP/NCAR 40-year reanalysis project, BAMS, 77, 437-470, 1996.
Visualization is vital for data understanding and perception
Is it?
University of Melbourne (Australia)
Visualization is vital for data understanding and perception
Is it?
National Oceanic and Atmospheric Administration (NOAA, USA)
Visualization is vital for data understanding and perception
Is it?
Improving the Accuracy of Mapping Cyclone Numbers and Frequencies, 2010 by O.Zolina and S. Gulev (Russia)
Wikience
4D isopleths• 1st in the world • real-time• closed polygons (GIS)• all TBs of reanalysis data on-line
KEY GRAPHICS
FOR CLIMATE
RESEARCH
Vast amounts of data (TBs)
1996 NCEP/NCAR ~ 4 TB
2010 NCEP CFSRR ~ 100 TB
Real-time technology for thousands of users
How to maintain all available data on-line?
Scientific formats
Convert data to new representation?
Need to keep metadata intact
Invent new schemas to import metadata into?
3D visualization technology
No open algorithms for isopleths, are they?
Obstacles for wide data accessibility
ChronosServer
Turns vast amounts of existing data into actionable intelligence
Rodriges Zalipynis R.A. ChronosServer: real-time access to “native” multi-terabyte retrospective data warehouse by thousands of concurrent clients. Informatics, cybernetics and computer engineering, pp. 151–161. Vol. 14 (188) – Donetsk: DonNTU — 2011. – 391 p.
Atmospheric major components: cyclones
Areas of low pressure
(simple definition)
Seen as several closed isobars nested in each other
L
Climate is changing along with cyclones
Cyclone importance
• heat transition from tropics to the poles• define local weather• local winds • severe weather events• pollution situation
key drivers of climate change
How to research cyclones? – TrackInitial
In a day
Sharing “active” research data4D Cyclone paths• 1st in the world • real-time
Others can:• verify tracks• interactively analyze• use in own research
Remote Sensing: Terra MODIS• 36 spectral channels• Daily frequency• Global coverage
MODIS L3 product• Global 1º×1º grid• Over 600 datasets
(clouds, water vapor, aerosol properties)
http://www.universetoday.com/84961/terra-satellite/http://modis-atmos.gsfc.nasa.gov/tools_level3browse.html
Terra MODIS: Cloud Optical Thickness
Tropical Cyclones
IBTrACS
International Best Track Archive for Climate Stewardship• 1842 – present• multiple characteristics• the most complete
August 23 – 30, 2005280 km/h highest wind
1,833 fatalities
$108 billion damage
Hurricane Katrina
just a picture
IBTrACS:Hurricane Katrina
NOT just a picture
Hurricane Katrina (IBTrACS) and Cloud Optical Thickness (MODIS L3)
August 28, 2005
Near peak strength
Analysis toolsSimply select & watch
Acknowledgements
This work was supported by Award No. UKM1-2973-DO-09 of the U.S. Civilian Research & Development Foundation (CRDF). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of CRDF.
DNTU Computer Cluster• Hybrid GPU-CPU• 32 CPU cores• 2 688 GPU cores, CUDA• 7 Teraflops• 35 TB HDD • 1 Gbit/sec local network• 1 Gbit/sec Internet band, optic fiber• 10 KW power supply
Donetsk National Technical University
Global Models
Databases in knowledge domains
Wikience
Data mining
Donetsk National Technical University
Development of human potential
Database fusion:
World bank http://data.worldbank.org
UN Development Programhttp://www.hdr.undp.org
Economical Forum http://www.weforum.org
Data mining:Multidimensional scaling
Donetsk National Technical University
Planet Biodiversity
Database fusion:
(Databases of animal and plants)
GIS-models for areals of biological species spread
(150 - 200 thousands of main animal and plant species)
Climate reanalysis archives
Donetsk National Technical University
Data mining: world countries development indicators
Fertility Tuberculosis rate
Children's mortality
Internet usersGovernmental debt service
Population with age before15
Donetsk National Technical University
Data mining: world countries development - energy
CountryDevelopment
indexCountry’s
rateCountry’s rate according to development rate
Norway 63138 2 6
USA 35043 10 16
Germany 18045 22 53
Poland 9155 50 49
Russian 15658 33 22
Ukraine 9108 51 42
China 3500 91 65
India 1385 115 95
Nigeria 305 138 126
Donetsk National Technical University
ЕЕА and DNTU: System for ecological monitoring of Donetsk region – English version
Discovery of synoptic patterns of climate variability and change using data mining and high performance computing
wikience.donntu.edu.ua Contact address: rodriges@csm.donntu.edu.ua
Climate Wikience: A Summary of Results
Please, reference materials taken from this presentation as
Rodriges Zalipynis R.A., Averin G.V., Zapletin E.A., Melnykov A.I., Bashkov E.A., Climate Wikience: A Summary of Results, Minneapolis, USA, 2012. Web: wikience.donntu.edu.ua/rodriges/publications/rodriges_CRDF_2012.pptx
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