Abstract
With climate extremes hitting nations across the globe, disproportionately burdening vulnerable developing countries, the prompt operation of the Loss and Damage fund is of paramount importance. As decisions on resource disbursement at the international level, and investment strategies at the national level, loom, the climate science community’s role in providing fair and effective evidence is crucial. Attribution science can provide useful information for decision makers, but both ethical implications and deep uncertainty cannot be ignored. Considering these aspects, we articulate a vision that integrates established attribution methods and multiple lines of evidence within a coherent logical framework.
Original language | English |
---|---|
Article number | pgae277 |
Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | PNAS Nexus |
Volume | 3 |
Issue number | 8 |
Early online date | 27 Aug 2024 |
DOIs | |
Publication status | Published - Aug 2024 |
Bibliographical note
Publisher Copyright:© The Author(s) 2024.
Funding
Funders | Funder number |
---|---|
Artificial Intelligence for Detection and Attribution | |
Horizon 2020 Framework Programme | 101003469 |
Horizon 2020 Framework Programme |
Keywords
- attribution
- climate impact
- extreme weather
- loss and damage