Towards Data-driven Climate Change Scenario Planning in ASEAN

Climate Change Platform
Policy Brief
Towards Data-driven Climate Change Scenario Planning in ASEAN
10 April 2024
Environment, Information and Media
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EXECUTIVE SUMMARY

  • The availability and accessibility of climate change data are important to monitor climate variability, support risk management decisions, and build climate models and pr Scaling up application and management of data for climate scenario planning can inform policies on mitigation and adaptation strategies.
  • ASEAN Member States have conducted scenario planning with research communities across a wide range of topics including climate change, but it has been largely limited to water management, carbon mitigation, agriculture, and energy
  • Indeed, observations show that scenario planning efforts are limited and that a better policy framework and the commitment of a larger community are needed to promote scenario planning in ASEAN.
  • Climate change scenario planning has the potential to promote research  community  collaborations with various scientists outside However, data scarcity and availability, lack of reliable local data and lack of socio-economic data, including under-consideration of socio-economic factors, are the major constraints limiting policy-transferable scenario planning in the region.

POLICY RECOMMENDATIONS

  • A coherent institutional and policy framework is necessary to promote and govern the use of climate data in ASEAN for reporting and scaling at the local, national and regional This is particularly crucial for data management and accessibility, data collection, and management capacity.
  • Engagement with the larger  research  community is desirable to promote collaboration and keep the ASEAN Member States abreast with research being conducted in the r
  • Strengthening climate services initiatives is critical to have a data repository that consolidates climate data in the region from various actors as well as by promoting the application of digital technologies for data collection, sharing and
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