Burke, M., Hsiang, S. M. & Miguel, E. Global non-linear effect of temperature on economic production. Nature 527, 235–239 (2015).
Carleton, T. A. & Hsiang, S. M. Social and economic impacts of climate. Science 353, aad9837 (2016).
Climate Finance Provided and Mobilised by Developed Countries: Aggregate Trends Updated with 2019 Data (OECD, 2021); https://doi.org/10.1787/5F1F4182-EN
Rio Markers for Climate Handbook (OECD, 2016).
Yeo, S. Where climate cash is flowing and why it’s not enough. Nature 573, 328–331 (2019).
Climate Finance Shadow Report 2020 (Oxfam International, 2020).
Halimanjaya, A. Climate mitigation finance across developing countries: what are the major determinants? Clim. Policy 15, 223–252 (2015).
Weikmans, R. & Roberts, J. T. The international climate finance accounting muddle: is there hope on the horizon? Clim. Dev. 11, 97–111 (2017).
Michaelowa, A. & Michaelowa, K. Coding error or statistical embellishment? The political economy of reporting climate aid. World Dev. 39, 2010–2020 (2011).
Donner, S. D., Kandlikar, M. & Webber, S. Measuring and tracking the flow of climate change adaptation aid to the developing world. Environ. Res. Lett. 11, 054006 (2016).
Roberts, J. T. et al. Rebooting a failed promise of climate finance. Nat. Clim. Change 11, 180–182 (2021).
Climate Adaptation Marker: Quality Review (OECD, 2013).
Weikmans, R., Roberts, J. T., Baum, J., Bustos, M. C. & Durand, A. Assessing the credibility of how climate adaptation aid projects are categorised. Dev. Pract. 27, 458–471 (2017).
Joint Report on Multilateral Development Banks’ Climate Finance (AfDB et al., 2021).
Toetzke, M., Banholzer, N. & Feuerriegel, S. Monitoring global development aid with machine learning. Nat. Sustain. https://doi.org/10.1038/s41893-022-00874-z (2022).
Climate Finance in 2013–14 and the USD 100 Billion Goal (OECD & CPI, 2015); http://www.oecd-ilibrary.org/environment/climate-finance-in-2013-14-and-the-usd-100-billion-goal_9789264249424-enhttps://doi.org/10.1787/9789264249424-en
Egli, F. & Stünzi, A. A dynamic climate finance allocation mechanism reflecting the Paris Agreement. Environ. Res. Lett. 14, 114024 (2019).
Timperley, J. The broken $100-billion promise of climate finance—and how to fix it. Nature 598, 400–402 (2021).
Scott, S. The Grant Element Method of Measuring the Concessionality of Loans and Debt Relief Working Paper No. 339 (OECD Development Centre, 2017).
van Oldenborgh, G. J. et al. Attribution of extreme rainfall from Hurricane Harvey, August 2017. Environ. Res. Lett. 12, 124009 (2017).
Otto, F. E. L. et al. Anthropogenic influence on the drivers of the Western Cape drought 2015–2017. Environ. Res. Lett. 13, 124010 (2018).
Devlin, J., Chang, M. W., Lee, K. & Toutanova, K. BERT: pre-training of deep bidirectional transformers for language understanding. Preprint at arXiv (2018).
Webersinke, N. et al. ClimateBert: a pretrained language model for climate-related text. Preprint at arXiv (2021).
Sanh, V., Debut, L., Chaumond, J. & Wolf, T. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. Preprint at arXiv (2019).
Montani, I. & Honnibal, M. Prodigy: a new annotation tool for radically efficient machine teaching (2017). https://explosion.ai/blog/prodigy-annotation-tool-active-learning Accessed: 2022.08.15