BDE ESD Tool - Big Data Met NORWAY Rasmus Benestad
1. Brussels 2015-06-15
Climate analysis & Big data
Rasmus E. Benestad
Abdelkader Mezghani, & Kajsa M. Parding
esd for retrieving, processing, dissecting, analysing, and visualisation
2. How do I find useful climate
information
in large volumes of data?
3. Information & Data & Knowledge
● Information
"...in its most restricted technical sense, is a sequence of
symbols that can be interpreted as a message".
(wikipedia)
● Data are measurements, observations, calculations
● Knowledge is expectation about causalities,
dependencies, and why?
4. Norwegian Meteorological Institute
The ultimate objective is to
find the answers.
The data is the source and
the means finding answers.
Analytical tools designed for
data analysis/statistics.
What is the question?
5. Big data - simple algorithms
Fast “distillation” of information
42. Norwegian Meteorological Institute
Tricks for efficiency
Structured and standardised metadata
Common information model (CIM)
Data reference syntax (DRS)
classes and ‘S3’ methods
Fast algorithms making use knowns
43. Norwegian Meteorological Institute
• Facilitate intercomparisons
• Sharing of generic methods
• Traceability and replicability
• Promotes community building & discussions
Benefits of common standards &
structures