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Severe convective weather events, such as hail, tornadoes, and thunderstorms, often occur quickly yet cause significant damage, costing billions of dollars every year.
The probabilistic basis of jaccard’s index of similarity
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Spearman rank correlation
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Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
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Towards the development of economic damage functions for weather and climate extremes
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Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Learning transferable visual models from natural language supervision
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The global costs of extreme weather that are attributable to climate change
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Climatebert-netzero: Detecting and assessing net zero and reduction targets
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Towards answering climate questionnaires from unstructured climate reports
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Chatclimate: Grounding conversational ai in climate science
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Towards fine-grained classification of climate change related social media text
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Glipv2: Unifying localization and vision-language understanding
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Climatenlp: Analyzing public sentiment towards climate change using natural language processing
VS Anoop et al · 2023
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Evaluating tcfd reporting—a new application of zero-shot analysis to climate-related financial disclosures
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Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Mathias Kraus, Simon Allen, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, et al · 2023
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Climatological occurrences of hail and tornado associated with mesoscale convective systems in the united states
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Ace: A fast, skillful learned global atmospheric model for climate prediction
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Aurora: A foundation model of the atmosphere
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Local climate services for all, courtesy of large language models
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On the foundations of earth and climate foundation models
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