The ICA&D concept
Robert Leander
Royal Netherlands Meteorological Institute
On behalf of the ECA&D project team
Aryan van Engelen
Else van den Besselaar
Albert Klein Tank
Gerard van der Schrier
http://eca.knmi.nl
Contents
Contents
• Definition and purpose
what is the ICA&D concept?
• Key components
Components and their connection
Implementation requirements
• Look and feel of the web-portal
A swift browse through the ECA&D site
Let’s fantasize about the WACA&D site
Definition and purpose
Contents
International Climate
International Climate Assessment & Dataset
Characteristics
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•
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Daily station data
Quality controlled
Regional
Climate changes indices
ICA&D examples
ECA&D, SACA&D, LACA&D….
For example
ECA&D, SACA&D, LACA&D….
why not WACA&D ?
???
Key components
Contents
Development
Maintenance
of data + metadata
Update cycle
“Fullcycle”:
•QC
•Blending
•Index calculation
•Homogeneity tests
•Trends, climatology,
extreme analysis
MySQL
database
Apache
Webserver
Key components
Contents
Development
Operational
Maintenance
of data + metadata
Update cycle
“Fullcycle”:
•QC
•Blending
•Index calculation
•Homogeneity tests
•Trends, climatology,
extreme analysis
MySQL
database
MySQL
database
Apache
Apache
Webserver
Webserver
Update cycle
Manual intervention required
Update cycle
“Fullcycle”:
•QC
•Blending
•Index calculation
•Homogeneity tests
•Trends, climatology,
extreme analysis
Bash-scripting,
C/F77 routines
•
Updating series + metadata
•
Quality control
•
Blending stations
•
Indices calculation
•
Homogeneity tests
•
Trend analysis
climatology, anomalies
and extreme analysis ….
Update cycle
Update cycle
“Fullcycle”:
•QC
•Blending
•Index calculation
•Homogeneity tests
•Trends, climatology,
extreme analysis
Bash-scripting,
C/F77 routines
•
Updating raw series + metadata
•
Quality control
•
Blending stations
•
Indices calculation
•
Homogeneity tests
•
Trend analysis
Fully automated process
climatology, anomalies
and extreme analysis ….
Blending
• Extending and completing a station
series with data from nearby stations
Update cycle
“Fullcycle”:
•QC
•Blending
• Stations within certain proximity and
within a certain range of altitude are
considered, depending on the
element
•Index calculation
•Homogeneity tests
•Trends, climatology,
extreme analysis
SYNOP data is the least preferred source ….
only used if no suitable historical data available
Index calculation
• ETCCDI indices (same as in RClimdex)
• Additional Impact-related indices
Update cycle
“Fullcycle”:
• Comfort indices
like UTCI, Tourism index
•QC
•Blending
• Specific “agricultural” indices
Viticulture-related indices
•Index calc.
•Homogeneity
•Trends, climatology,
extreme analysis
• Hydrological indices
like hydrologic intensity HY-INT (Giorgi)
And more …
new index definitions can smoothly
be integrated into the system
Homogeneity
• Four tests on some indices (RR, TGG, etc):
Update cycle
“Fullcycle”:
•QC
•Blending
•Index calculation
•Homogeneity
•Trends, climatology,
extreme analysis
•
Von Neumann Ratio Test
•
Buishand Range Test
•
Alexanderson SNHT
•
Pettit Test
}
Identify break
• Classification of series:
suspect
doubtfull
usefull
3 or more tests detect change
2 tests detect break
not more than 1 test detects break
Various analyses
Update cycle
“Fullcycle”:
• For those series whose series are not suspect
• Climatology
•QC
•Blending
•Index calculation
•Homogeneity
• Anomalies
•Trends, ….
• Returnvalues
• Trends
New
raw
data
Database (devel)
Contents
Update cycle
MySQL
database
•Raw daily series
•Blended daily series
•QC results
•Annual index series
•Homogeneity test results
•Station metadata
•Analyses results
• Trends
• Climatology
• Extremes
• …..
Webserver
(devel)
•Primary variables (daily resolution):
tg,tx,tn,rr,hu,ss,sd,cc,ff,fx,dd
Operational
database
Web server(s)
Contents
• PHP – based
• JPGRAPH for plotting
• MapServer
/ MapScript for mapping
Internal Database
External Database
Apache
Apache
Webserver
Webserver
Internal web-server
External web-server
Infrastructure
Summarizing:
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Separate linux-based
development and operational system.
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Web-content generation real-time
•
Apache 2.0, MySQL 5.0.45, PHP 5.1.6
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Mapserver 4.10.2 (maps) , Jpgraph (plots)
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C, shell scripting (update cycle)
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Fortran (some of the calculations, gridding)
ECA Website walkthrough..
http://www.ecad.eu
2009
ECA&D : data inventory
2009
ECA&D : (Raw) Daily data
Raw and blended daily station data for the take…
…..but ONLY the PUBLIC data !!
The participant decides
2009
ECA&D walkthrough: Daily data
Raw and blended daily station data for the take…
…..but ONLY the PUBLIC data !!
The participant decides
2009
ECA&D : Extreme events
2009
ECA&D : Extreme events
2009
ECA&D : Indices
2009
ECA&D : Timeseries plots
2009
ECA&D : Index time series
May 2010
May 20
2009
ECA&D : Indices maps
2009
ECA&D : Indices maps
2009
ECA&D walkthrough
2009
ECA&D : Index map: RR1
2009
ECA&D : Index map: RH
2009
ECA&D : Climatology RR1
2009
ECA&D : Anomalies RR1
2009
ECA&D : Trend RR1
WACA&D : CWD Trend
http://82.157.123.58/rcc/utils/mapserver/trend.php
http://192.168.2.10/rcc/utils/mapserver/trend.php
WACA&D : CWD Trend
WACA&D : CWD Trend
2009
WACA&D : CWD Trend
WACA&D : CWD Trend
http://82.157.123.58/rcc/utils/mapserver/index-availability.php
http://192.168.2.10/rcc/utils/mapserver/index-availability.php
Conclusion
ICA&D is useful in climate monitoring
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Participants can profit from the analyses
Still they have full control over data distribution
The system is simpel in design
and straightforward to maintain and extend
We are there to share the software,
our innovations and assist in the local setup
The ICA&D concept is very well portable
Meteorologist:
What is the use of climate data ??”
Meteorologist:
What is the use of climate data ??”
Thank You for your
attention!
Merci beaucoup pour
votre attention!