The ICA&D conceptRobert Leander

Royal Netherlands Meteorological Institute

On behalf of the ECA&D project teamAryan van Engelen

Else van den BesselaarAlbert Klein Tank

Gerard van der Schrier

http://eca.knmi.nl

Contents

• Definition and purpose what is the ICA&D concept?

• Key componentsComponents and their connectionImplementation requirements

• Look and feel of the web-portalA swift browse through the ECA&D siteLet’s fantasize about the WACA&D site

Contents

Contents

• Daily station data• Quality controlled• Regional• Climate changes indices

Definition and purpose

Characteristics

International ClimateInternational Climate Assessment & Dataset

ICA&D examplesECA&D, SACA&D, LACA&D….

For example

???

ECA&D, SACA&D, LACA&D….

why not WACA&D ?

ContentsKey components

MySQLdatabase

Apache

Webserver

“Fullcycle”:

•QC •Blending•Index calculation•Homogeneity tests•Trends, climatology,

extreme analysis

DevelopmentMaintenance

of data + metadataUpdate cycle

ContentsKey components

MySQLdatabase

Apache

Webserver

MySQLdatabase

Apache

Webserver

“Fullcycle”:

•QC •Blending•Index calculation•Homogeneity tests•Trends, climatology,

extreme analysis

Development OperationalMaintenance

of data + metadataUpdate cycle

• Updating series + metadata• Quality control• Blending stations• Indices calculation• Homogeneity tests • Trend analysis

climatology, anomalies and extreme analysis ….

Update cycle

“Fullcycle”:

•QC •Blending•Index calculation•Homogeneity tests•Trends, climatology,

extreme analysis

Update cycle

Bash-scripting,

C/F77 routines

Manual intervention required

• Updating raw series + metadata• Quality control• Blending stations• Indices calculation• Homogeneity tests • Trend analysis

climatology, anomalies and extreme analysis ….

“Fullcycle”:

•QC •Blending•Index calculation•Homogeneity tests•Trends, climatology,

extreme analysis

Update cycle

Bash-scripting,

C/F77 routines

Fully automated process

Update cycle

“Fullcycle”:

•QC

•Blending•Index calculation•Homogeneity tests•Trends, climatology,

extreme analysis

Update cycle

Blending

• Extending and completing a station series with data from nearby stations

• Stations within certain proximity and within a certain range of altitude are considered, depending on the element

SYNOP data is the least preferred source ….

only used if no suitable historical data available

“Fullcycle”:

•QC •Blending

•Index calc.•Homogeneity•Trends, climatology,

extreme analysis

Update cycle

Index calculation

• ETCCDI indices (same as in RClimdex)

• Additional Impact-related indices

• Comfort indices like UTCI, Tourism index

• Specific “agricultural” indices Viticulture-related indices

• Hydrological indices like hydrologic intensity HY-INT (Giorgi)

And more …

new index definitions can smoothly be integrated into the system

“Fullcycle”:

•QC •Blending•Index calculation

•Homogeneity •Trends, climatology,

extreme analysis

Update cycle

Homogeneity

• Four tests on some indices (RR, TGG, etc):• Von Neumann Ratio Test

• Buishand Range Test

• Alexanderson SNHT

• Pettit Test} Identify break

• Classification of series: suspect 3 or more tests detect change doubtfull 2 tests detect break usefull not more than 1 test detects break

“Fullcycle”:

•QC •Blending•Index calculation•Homogeneity

•Trends, ….

Update cycle

Various analyses

• For those series whose series are not suspect• Climatology

• Anomalies

• Trends

• Returnvalues

ContentsDatabase (devel)

MySQLdatabase

•Primary variables (daily resolution): tg,tx,tn,rr,hu,ss,sd,cc,ff,fx,dd

•Raw daily series•Blended daily series•QC results•Annual index series•Homogeneity test results•Station metadata•Analyses results

• Trends• Climatology• Extremes• …..

} Operational database

Upd

ate

cycl

e

Webserver (devel)

Newraw data

ContentsWeb server(s)

Apache

Webserver

Apache

Webserver

Internal web-server External web-server

External DatabaseInternal Database

• PHP – based

• JPGRAPH for plotting

• MapServer / MapScript for mapping

• Separate linux-baseddevelopment and operational system.

• Web-content generation real-time• Apache 2.0, MySQL 5.0.45, PHP 5.1.6• Mapserver 4.10.2 (maps) , Jpgraph (plots)• C, shell scripting (update cycle)• Fortran (some of the calculations, gridding)

Infrastructure

Summarizing:

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 20May 2010

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 TrendWACA&D : CWD Trend

2009 WACA&D : CWD TrendWACA&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

ICA&D is useful in climate monitoring • 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

Conclusion

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!