1. Strengthening climate applications in developing countries
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Strengthening climate applications in developing countries
ACRE Data and Visualisation Meeting, Exeter 15 September 2009 Steve Palmer, Technical Cooperation Programme Manager
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2. Contents Introduction Services Forecasting Climate change
This presentation covers the following areas
Introduction
Services
Forecasting
Climate change
Questions and answers
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3. Some basic ideas about data
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4. How the information fits together
Forecast Timescale
Observations
Today
Days Weeks Months Years
Climate Recent Short-range Medium-range Seasonal Future Climate RI SK
ANALYS I S
ADAPTATION
RESPONSE
CLIMATOLOGY
PREPAREDNESS
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5. Observations as a “Global Public Good”
Observations have significant cost to obtain
Once an observation has been recorded, it has no significant value in itself! The value is in the use made of it.
In economic terms, observations are:
Non-excludable (WMO Resolution 40 applies)
Non-rival
Everyone needs observations from developing countries, but the benefits of those observations to those developing countries are probably of less value than to the developed countries.
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6. Databases, techniques and tools
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7. CLIMSOFT Climate Data Management System
Developed in Africa by a team including people from Zimbabwe, Kenya, Guinea
Uses Microsoft Access, VB and MySQL on a PC platform
Scaleable from a few stations upwards
Multiple language support - currently English, French, Portuguese (contributed by Cap Verde)
Now running in over 20 developing countries.
Includes the ability to ingest in real time and produce SYNOP and CREX bulletins
Likely to be the first application to meet the WIS and INSPIRE standards for XML data exchange
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8. Localisation
Put PCs into district centres and observing stations to collect data from the immediate area
2nd user PCs supplied by Computer Aid International – 2 or 3 per station!
Use a stripped-down version of Climsoft, so only requires MS-Access, no other license fees!
Local Climsoft includes some simple data products for local distribution. This helps the NMS to improve services to their local area.
Automatic ingestion from AWSs links to e.g. World Bank Food Security Insurance project.
Enables service delivery to the local area, hence improved information and feedback.
Projects in Kenya, Uganda, now Zambia.
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9. Statistics In Applied Climatology
SIAC training enables people to understand and use climatology data with other information, including spells analysis and statistical modelling. Ideal for crop modelling.
Uses INSTAT statistical package – free download from Reading University Statistical Services Centre
Also GENSTAT package – Discovery Edition is free for users in developing countries
Currently an e-learning course, plus face-to-face follow up courses.
Facilitated e-learning works best with groups of 30 – 45.
Possible future self-teach course – Introduction to climatology information
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13. Questions, comments and ideas
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