Improving Access to Climate Information I MPROVE C LIMATE I - - PowerPoint PPT Presentation
USAID/Kenya and East Africa Planning for Resilience in East Africa through Policy, Adaptation, Research, and Economic Development (PREPARED) Project F ROM D ATA TO P RODUCTS Adaptation Community Meeting (ACM) July 20 th , 2017 R EGIONAL USAID P
❖ Support and work through regional organizations ❖ Promote best practices and innovations ❖ Harmonize regional policies, protocols, practices,
❖ Build capacity of regional institutions to deliver on
❖ Complement bilateral and multilateral programs
❖ Mainstream climate change adaptation strategies –
conduct Vulnerability, Impacts and Adaptation Assessment (VIA) in Lake Victoria Basin (LVB CC Adaptation Strategy and Action Plan)
❖ Improve access to and sharing of climate change
information
❖ Support the growth of the EAC Climate Change
Coordination Unit (CCCU)
❖ Improve access to and future management of adaptation
funds – Regional Implementing Entity (RIE) accreditation for the EAC Secretariat
❖ Conducted Climate Information User Assessment ❖ Assessed Service Providers’ Products ❖ Facilitated Strategic Action Planning Workshop (April 2015)
that provided framework for regional Climate Information Network (CIN)
❖ Establishing a CIN or User Interface ❖ Implementing Quality Service Improvement Plan (QSIP) for
service providers
❖ Develop a Climate Information Management System and
Clearinghouse – EAC IKMS portal
❖ Develop, test, train and use Climate Information Tools –
GeoCLIM, VI Mapping, GeoMOD, GeoWRSI for real problems
❖ Developing IKM Portal for Climate Information for EAC ❖ Assisted Tanzania Meteorological Agency (TMA) capture
and digitize records from 12 temperature stations and 90 rainfall stations for over 30 years records within the Tanzania portion of the Lake Victoria Basin (14,530 records)
❖ Piloting Quality Service Improvement Program (QSIP) with
Kenya Meteorological Department, ICPAC, and RCMRD
stations
Station Data
❖ ICPAC Training Team was
developed and trained
❖ 5 Partner States trained in
GeoCLIM and contributed station data to build gridded datasets (35 year database)
❖ Merged regional GeoCLIM gridded
dataset built and housed at ICPAC
❖ Working with Regional WMO office
and ICPAC to support GeoCLIM and integrate with CLIMSOFT
❖ Using GeoCLIM for Weather Index
Crop Insurance pilot in Kenya
150 25 35 26 15
Climate data- visualization and analysis tool for “climate risk mapping”
GeoCLIM
Basic crop modeling tool for crop monitoring, forecasting and “agricultural risk mapping”
GeoWRSI
Statistical forecasting & Interpretation tools that allows for automated “seasonal forecasts & Early Warning with improved spatial scale”
GeoCOF
“Statistical tool that allows for downscaling future climate scenarios “downscaled future climate change scenario”
GeoMOD
“Geospatial tool that assists technical teams and stakeholder identify sector – specific vulnerabilities” “geospatial vulnerability mapping”
VI Mapping
Short-rains Annual Long-rains
Using GeoCLIM for Rainfall Trends for 35 year period for Rufiji River Basin: USAID/Tanzania WARIDI and Ministry of Water and Irrigation
No. Vulnerability Component Factor Possible Indicator 1 Exposure Rainfall i. Annual rainfall variability (CV) i. Occurrence (frequency) of drought and floods
Temperature i. Monthly min & max temperature i. CV for min & max 2 Sensitivity LULC i. LULC dynamic NDVI i. NDVI dynamic Human population i. Population dynamic Animal population i. Level of protection (NP, GCA, NR, GR, FR) ii. Wild animal & Livestock population dynamics Topography i. Slope (%) Fire i. Fire frequency and intensity 3 Adaptive capacity Protected areas i. Conservation status (conservancies, wildlife management areas, community based conservation development) LUP i. Presence/absence of LUPs
Applying VI Mapping for Ecosystem Analyses
Quality Service Improvement Program (QSIP)
Vision and Values Service Audit Service Improvement Recommendat ions, Action Planning & Monitoring Customer Service Training Validate Service Improve- ment
200 400 600 800 1000 1200 1400 1600 1800
Crop season with no payout Crop season with payout
Yield (kg per hectare)
Reference average yield Coverage level at 80% of average yield
Yield shortfall to be compensated by insurance payout
Partner Key roles & responsibility MOALF/GOK ✓ Development of policy and institutional frameworks ✓ Develop criteria for targeting farmers ✓ Develop a system for data management ✓ Provide premium support Farmers
Insurers
IRA ✓ Approve product ✓ Training and consumer education ✓ Coordinate certification training Banks
Agro-dealers ✓ Sell inputs – both subsidized and non-subsidized ✓ Sell insurance linked to inputs for inputs subsidized programme
Average Rainfall WRSI Start of Season Rainfall Trends Climatological Zones Aridity
MAM Rainfall Trends Agro-Ecological Zones Unit Areas of Insurance
Generally, value added products and services more useful than station data
Products and services must be based on user demands and incentives
Need reliable data coverage for precipitation and temperature – gridded data sets
Users need to be ensured of data validity and credibility
Credibility comes from authorized and trusted meteorological organization