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library:external:presentations_away [2024/05/06 17:24] agayayav |
library:external:presentations_away [2024/05/09 09:58] mariag |
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====2024=== | ====2024=== | ||
+ | - An introduction to blending methodologies (I4C internal seminars #2, 7 May, 2024) , Pablo Ortega (I4C) {{: | ||
+ | - Inaugural dust and climate model simulations with the new EMIT global mineral abundance maps (2024 EGU GA, Vienna, Austria, 18 April, 2024), María Gonçalves Ageitos (EMIT, FRAGMENT, CERTAINTY, FOCI, FORCeS, BIOTA, HEAVY, AXA SDS). {{ : | ||
- Digital Twins of the Ocean: Predicting Changes (2024 Ocean Decade Conference, Barcelona, 9 April, 2024),Pablo Ortega (DE340, EERIE, EditoModelLab) {{ : | - Digital Twins of the Ocean: Predicting Changes (2024 Ocean Decade Conference, Barcelona, 9 April, 2024),Pablo Ortega (DE340, EERIE, EditoModelLab) {{ : | ||
- Decadal Climate Services - BSC experience (Tackling Global Change Workshop, Universite de Bordeaux, France, 11 April, 2024), Sara Octenjak (FOCUS-Africa) {{ : | - Decadal Climate Services - BSC experience (Tackling Global Change Workshop, Universite de Bordeaux, France, 11 April, 2024), Sara Octenjak (FOCUS-Africa) {{ : | ||
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- Co-production of knowledge and tools to mainstream climate adaptation (FuturMed COST Action WG2 kick-off meeting, online, 9 January 2024), M. Terrado {{ : | - Co-production of knowledge and tools to mainstream climate adaptation (FuturMed COST Action WG2 kick-off meeting, online, 9 January 2024), M. Terrado {{ : | ||
- Workflow Provenance with RO-Crate in Autosubmit (European Geosciences Union (EGU) General Assembly 14-19 April 2024)), Manuel G. Marciani {{ : | - Workflow Provenance with RO-Crate in Autosubmit (European Geosciences Union (EGU) General Assembly 14-19 April 2024)), Manuel G. Marciani {{ : | ||
- | - A workflow for the Climate Digital Twin (European Geosciences Union (EGU) General Assembly 14-19 April 2024), Aina Gaya-Àvila, | ||
====2023=== | ====2023=== | ||
+ | - Linking source and emitted dust mineralogy: key aspects to improve the representation of airborne dust mineralogy in Earth System Models. (AGU Fall Meeting 2023, San Francisco, US, 14 December, 2023), María Gonçalves Ageitos (EMIT, FRAGMENT, AXA SDS, FORCeS, DOMOS, BIOTA, AC SGR). {{ : | ||
- IDExtremes: A modelling tool to predict the probability of infectious disease outbreaks given compound extreme climatic events (E-Vigilancia Conference, Rio de Janeiro, Brazil, 08 December 2023), B.M. Carvalho {{ : | - IDExtremes: A modelling tool to predict the probability of infectious disease outbreaks given compound extreme climatic events (E-Vigilancia Conference, Rio de Janeiro, Brazil, 08 December 2023), B.M. Carvalho {{ : | ||
- Machine learning and AI for predicting climate-sensitive diseases (EU-US Frontiers of Engineering Symposium, Murray Hill NJ, US, 18 October 2023), B.M. Carvalho {{ : | - Machine learning and AI for predicting climate-sensitive diseases (EU-US Frontiers of Engineering Symposium, Murray Hill NJ, US, 18 October 2023), B.M. Carvalho {{ : |