AI for Climate Action

This presentation was given by Alejandro Coca-Castro, Research Fellow in Environment & Sustainability at The Alan Turing Institute, to the MSc module AI for Sustainable Development (COMP0173) at University College London (UCL) in November 21, 2024. Outline: About me Context AI for Weather History Forecast types Progress, limitations and next steps in Medium Range Weather Forecasting Example of AI for Sea-Ice Forecasting (prepared by Bryn Ubald AI for Weather in Action Opportunity to Reform Early Warning System Challenges Reuse and Governance Environmental Impac Digital Divide Getting Started Resources: BLOG POST Inside The Forecast Factory: how AI is set to revolutioniseweather forecasting: https://blogs.sw.siemens.com/simcenter/how-ai-is-set-to-revolutionise-weather-forecasting/ Met Office. History of numerical weather prediction. https://www.metoffice.gov.uk/weather/learn-about/how-forecasts-are-made/computer-models/history-of-numerical-weather-prediction TALKS Professor Richard Turner, The Quiet AI Revolution in Weather Forecasting, https://www.youtube.com/watch?v=JGn18WH0d6s Scott Hosking, Climate Science Challenges and Opportunities for ML, https://www.youtube.com/watch?v=PO7lRleEJBs TECHNICAL PAPER UNFCC. AI for Climate Action. https://unfccc.int/ttclear/misc_/StaticFiles/gnwoerk_static/tn_meetings/0ec396b0ba7b4d0d853b77c7b83dc172/3ebbf2e8e7834a7f873b0ae9a86262f7.pdf

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-21
DOI
https://doi.org/10.5281/zenodo.14196903
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

AI for Climate Action

Zenodo (CERN European Organization for Nuclear Research)
Meteorological Phenomena and Simulations
article

AI for Climate Action

article en

Abstract

This presentation was given by Alejandro Coca-Castro, Research Fellow in Environment & Sustainability at The Alan Turing Institute, to the MSc module AI for Sustainable Development (COMP0173) at University College London (UCL) in November 21, 2024. Outline: About me Context AI for Weather History Forecast types Progress, limitations and next steps in Medium Range Weather Forecasting Example of AI for Sea-Ice Forecasting (prepared by Bryn Ubald AI for Weather in Action Opportunity to Reform Early Warning System Challenges Reuse and Governance Environmental Impac Digital Divide Getting Started Resources: BLOG POST Inside The Forecast Factory: how AI is set to revolutioniseweather forecasting: https://blogs.sw.siemens.com/simcenter/how-ai-is-set-to-revolutionise-weather-forecasting/ Met Office. History of numerical weather prediction. https://www.metoffice.gov.uk/weather/learn-about/how-forecasts-are-made/computer-models/history-of-numerical-weather-prediction TALKS Professor Richard Turner, The Quiet AI Revolution in Weather Forecasting, https://www.youtube.com/watch?v=JGn18WH0d6s Scott Hosking, Climate Science Challenges and Opportunities for ML, https://www.youtube.com/watch?v=PO7lRleEJBs TECHNICAL PAPER UNFCC. AI for Climate Action. https://unfccc.int/ttclear/misc_/StaticFiles/gnwoerk_static/tn_meetings/0ec396b0ba7b4d0d853b77c7b83dc172/3ebbf2e8e7834a7f873b0ae9a86262f7.pdf

Zenodo (CERN European Organization for Nuclear Research)
The Alan Turing Institute (GB)
Openalex Percentile: Top 53%
Meteorological Phenomena and Simulations
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