“Data! Data! Data! I can’t make bricks without clay!” Sir Arthur Conan Doyle
Sir Conan Doyle’s famous fictional detective, Sherlock Holmes, couldn’t form any theories or draw any conclusions until he had sufficient data. The same is true for climate risk and adaptation practitioners – data and information are the basic building blocks of everything we do: the analyses we perform, the reports we build, the decisions we encourage, and the improved resilience we hopefully derive.
Against this backdrop of a need for robust, contextual and high-resolution climate data and information, a recently published technical note by the Asian Development Bank (ADB) provides a concise, yet detailed summary of open source datasets that can be used to assist experts carrying out climate risk assessments.
Authored by Rob Wilby, a close friend of Acclimatise, and colleagues at the ADB, this technical note provides details of 70 sources of public information, including data on historical and future climate, climate-related disasters, indicators of national vulnerability, and preparedness to adapt.
Data sources are collated in four appendices, which broadly map to successive phases of the ADB Climate Risk Management Framework, covering:
- National emissions, climate vulnerability, risks, and impacts;
- Historic weather, climate, and environmental change;
- Multidecadal, regional climate change projections; and
- Climate change impacts and adaptation.
Although the report focuses on the Asia and Pacific region, it does have wider applicability as most of the datasets are global in coverage.
As the authors acknowledge, there is a limit to which globally accessible, open source data can meet the detailed information needs of local adaptation projects. This note is intended to supplement rather than replace efforts to gather relevant climate information from government agencies and counterparts.
The technical note concludes by encouraging ADB, other multilateral development banks, and partner agencies to continue to invest in programs that strengthen national monitoring systems for climate and environmental change. Unfortunately, large parts of the developing world still lack both the climate and socioeconomic information required for robust climate risk assessments – in particular, for high-elevation and physically remote locations.
Remotely-sensed and reanalysis products certainly improve coverage, but the accuracy of these assets ultimately depends on high-quality observing networks. As the note highlights, open access to long-term records is invaluable for detecting emergent risks and devising, then implementing, effective adaptation measures.