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--- library:external:presentations_away [2024/05/06 10:25]
mgimenez [2024]
+++ library:external:presentations_away [2024/06/06 15:43] (current)
cmouchel [2024]
@@ Line 12: / Line 12: @@
 ====2024===
+      - Bringing the complexity of organic chemistry to climate models with machine learning techniques  (PASC24 Conference, Zürich, Switzerland, 5 June, 2024), Camille Mouchel-Vallon (NextGen Funds) {{ library:external:pasc24_20240605_cmv.pptx | ppt}} {{ library:external:pasc24_20240605_cmv.pdf | pdf}}
+      - An introduction to blending methodologies (I4C internal seminars #2, 7 May, 2024) , Pablo Ortega (I4C) {{:library:external:i4c_internal-seminar_blending.pptx | ppt}}
+      - 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). {{ :library:external:202404_egu_dustmineralogy_keyaspects.pdf | pdf}}
       - Digital Twins of the Ocean: Predicting Changes (2024 Ocean Decade Conference, Barcelona, 9 April, 2024),Pablo Ortega (DE340, EERIE, EditoModelLab) {{ :library:external:Presentation-ocean_decade.pdf |pdf}} {{ :library:external:Presentation-ocean_decade.pptx |ppt}}
       - Decadal Climate Services - BSC experience (Tackling Global Change Workshop, Universite de Bordeaux, France, 11 April, 2024), Sara Octenjak (FOCUS-Africa) {{ :library:external:20240411_saraoctenjak_universitedebordeaux.pdf |pdf}} {{ :library:external:20240411_saraoctenjak_universitedebordeaux.pptx |ppt}}
@@ Line 22: / Line 24: @@
        - A digital twin of the Earth for climate adaptation (Supercomputing Asia 2024, 22 February 2024), F.J. Doblas-Reyes {{:library:external:20240222_fdoblas_SCA24.pdf |pdf}} [[https://www.dropbox.com/scl/fi/hv9y7rq3cnw9rckc7wyoc/20240222_fdoblas_SCA24.pptx?rlkey=c8zx3o1k4leg8rdbyki47xsod&dl=0 | pptx]] (DE_340, GLORIA)
        - Co-production of knowledge and tools to mainstream climate adaptation (FuturMed COST Action WG2 kick-off meeting, online, 9 January 2024), M. Terrado {{ :library:external:20240109_mterrado_futurmed.pdf | pdf}} (Climateurope2, ASPECT, MED-GOLD, S2S4E, DestinE)
-       - Workflow Provenance with RO-Crate in Autosubmit (EGU 2024, 18 April 2024), Manuel G. Marciani {{ :library:external:ro-crate-as-egu2024.pdf | pdf}} (DE_340, EDITO)
+       - Workflow Provenance with RO-Crate in Autosubmit (European Geosciences Union (EGU) General Assembly, Vienna 14-19 April 2024)), Manuel G. Marciani {{ :library:external:ro-crate-as-egu2024.pdf | pdf}} (DE_340, EDITO)
+       - Workflow Provenance with RO-Crate in Autosubmit (High Performance Computer Knowledge Portal (HPCKP), Barcelona 8-9 May 2024)), Manuel G. Marciani {{ :library:external:ro-crate-hpckp.pdf | pdf}} (DE_340, EDITO)
 ====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). {{ :library:external:20231207_agu_dustmineralogy_keyaspects_toupload.pdf | pdf}}
        - 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 {{ :library:external:carvalhobm_e-vigilancia_idextremes.pdf | pdf}}
        - 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 {{ :library:external:20231018_carvalhobm_eu-us-foe.pdf | pdf}}

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