CS SDG-13

SDG-13 climate change and natural disasters

CASEarth for Sustainable Development Goals (CASEarth4SDGs), www.sdgs.casearth.cn, is a platform system of data sharing and online computing for monitoring, measuring, and evaluating SDG indicators under the Big Earth Data Science Engineering Program (CASEarth). Once assembled, it will provide a tool to generate knowledge from numerous and complex data sources, with the objective of supporting and understanding a sustainable human society that is essential to the protection of the planet. This Case Study concentrates on SDG-13, which focuses on climate change and natural disasters.

The sharing of research data across numerous disciplines is vitally important for decision making in the assessment of and response to the effects of climate change and natural disasters. Climate change and its effects are increasingly an existential crisis for all humanity and requires concerted international cooperation to help resolve. This Case Study focuses on SDG-13 and aims to:

  1. establish an integrated professional database of climate change, extreme climate and natural disasters;

  2. develop a dynamic monitoring and risk assessment model system;

  3. study the large-scale patterns and heterogeneity of climate change and natural disasters;

  4. achieve high-precision comprehensive assessment and seasonal prediction on the temporal changes and spatial patterns of extreme climate events and natural disasters; and

  5. explore the causes and frequency of regional extreme climate and related natural disasters, providing science-based support for disaster mitigation.

This demonstration of data uses for SDG-13 and the related technical and policy study will cast light on the extreme climate induced disasters in various geographies and countries.

Link to codata.org page  


Co-chairs

Bapon Fakhruddin, Tonkin+Taylor, New Zealand

Gensuo Jia, Institute of Atmospheric Physics, CAS

Monthip Sriratana, National Research Council of Thailand, Thailand

Secretariat Contacts

Lili ZHANG, CNIC, CAS

Jiao MU, Institute of Atmospheric Physics, CAS