Climate Information Services for Community Adaptation and Resilience by John Gathenya
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Transcript of Climate Information Services for Community Adaptation and Resilience by John Gathenya
Climate Information Services for Community Adaptation and
Resilience
John GathenyaUniversity of Reading
Walker Institute for Climate System Research
Community Based Adaptation and Resilience in East and Southern Africa’s Drylands
1-4 September 2014, Addis Ababa
The ProblemClimate risk contributes to chronic poverty, food insecurity and vulnerability amongst dryland communities.
Climate information is key to managing current climate risks and adapting to a future climate.
NMHSs mandate is to provide weather and climate information to climate sensitive sectors.
Dryland communities do not access CIS adequately => unable to manage risks.
Climate Information Services• Is the production and communication of climate
information to the decision maker or user. • Purpose is for the user to access, interpret and
apply CI for decision making.• End users need Climate Services
ProducersEnd users
Users/Intermediaries
Theory of change
Investments, Policies, Data, Capacity building, Partnerships
Downscale Communicate, Research
Behaviour change, improved skills, better decision making, better risk management
Improved productivity, livelihoods, adaptation, resilience
Actions
Outputs
Impact
Inputs
What is needed?
• Seamless suite of location-specific climate information products
• Co-production of climate information services• Integration of climate information with other
information needed for decision making = Participatory approaches
• Efficient and effective dissemination approaches that reach communities equitably and at scale
• Support systems that help communities act on climate information to improve their livelihoods = adaptation .... Resilience building.
Seamless suite of localized climate information
Analysed Historical
Data
Seasonal Climate Forecast
Short term forecast,
Alerts
Projections of future climate
19xx to 2013 3 months2030 2050 2100
1month1 day
Analyzed Historical Climate DataChallenges
• Not available in good quality in every village
• Access from NMSs not easy• Not enough skills to analyze
and make tailored products
Opportunities• Merging station and satellite
data => Maprooms• Community rain data
collection• Online course for analysts
eSIAC
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Tanzania Met Maprooms
Adama,Ethiopia
Nyando,Kenya
Downscaled Seasonal Forecasts
• Communities unlike national level planners want information closer to them.
• NMSs have the challenge to meet this demand.– Network density– Staff capacity
• Decentralization of govt services an opportunity.
Everyone has a role to Play in Linking Information to Action
Credit: Arame Tall, CCAFS
Final end users(farmers, pastoralists, vulnerable communities)
National-level end users(rural development planners, policy makers, seed
distributors, fertilizer industry, private sector)
Communicators and boundary organizations
(media, agricultural extension, NGOs, CBOs)
National Agricultural Research and Extension
National Hydro-Meteorological
Services
Production of downscaled forecasts
Value-addition of climate information –> production of agromet advisory
Two-way communication of climate information and
advisory services
Credit: Arame Tall, CCAFS
Building the National Chain for Climate Services
Participatory Decision Support Tools
CLIMATE(Rainfall, Temp,
Radiation)
CROP (Phenology, Yield
potential...)
SOIL (Texture, Fertility, pH...)
MANAGEMENT(Planting date, density, weed
control, ...)
12
NMS Ag ResAg Ext
Agro-dealers
CBOsIK
Weather & Climate Agric & Livelihoods
Participatory climate risk assessment
Participatory Resource Allocation Maps (RAMs)
Explore short term responses to climate information and long term responses to enhance resilience
Communication to reach farmers equitably, at scale
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• Train Nat Ag Ext, NGOs, Farmers– Integrate CI in extension
messages• Use ICT and local radio
– SMS and vernacular radio• Private sector participation
– Infomediaries
Till the last mile…..
Support systems to help farmers act on climate information
16
• Linkages to markets (inputs, soil analysis labs, credit...) , technologies ...
• Farmer experimentation and research support
Long Before the Season
Historical Climate Data
sans sequence seches (10 jours dans 21)
gfedcb
Premiere date pour le semi
gfedcb
2010
2000
1990
1980
1970
1960
1950
1940
1930
13 Jul
28 Jun
13 Jun
29 May
14 May
29 Apr
Seasonal Forecasts from http://rava.qsens.net/themes/climate_template/seasonal-forecasts/
During the Season
Short-termForecast & Warnings
WARNING
Just Before the Season
Seasonal Forecast & revisit
plans
Participatory Planning
Shortly After the Season
Review weather, production, forecasts &
process
Supporting farmer decision making...
Credit Peter Dorward
Some CIS projects in East & Southern Africa
• GFCS = Global Framework for Climate Services project in Malawi and Tanzania
• CCAFS work in Eastern Africa (Kenya, Uganda, Tanzania, Ethiopia ... Rwanda)
• IFAD’s KCALP programme in Kenya
Acknowledgement
• CCAFS Eastern Africa for funding the Nyando Climate Information Services Project