library:external:presentations_away
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library:external:presentations_away [2026/05/19 15:10] akawieck [2026] |
library:external:presentations_away [2026/06/22 13:43] (current) akawieck [2026] |
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| ====Presentations given outside BSC==== | ====Presentations given outside BSC==== | ||
| - | + | ====2026=== | |
| - | {{ : | + | - GHR tools: A Digital Workflow for Bayesian Disease Risk Forecasting in R (GEOMED, Pamplona, Spain, 17-19 June 2026) Ania Kawiecki (IDExtremes) |
| - | - Attribution of Dengue Outbreak Risk to Climate Change-Driven Changes in Extreme Events in Cali, | + | - The role of aerosol-sensitive primary ice nucleation and secondary ice production in modulating mixed-phase clouds in EC-Earth4 (EC-Earth General Assembly: The EC-Earth Earth community Earth System Model. Advancing climate assessment through supercomputing applications, |
| + | - Anthropogenic forcing reduces predictability of decadal internal climate variability. (European Seminar on Computing, Plzen, Czech Republic, 1-4 June 2026), Vincent Verjans | ||
| + | - UrbanAIR, Impetus4Change & other local climate services. (FOCAL Clustering Event, Zaragoza, Spain 6-8 May), Sam Pickard (UrbanAIR, Impetus4Change) {{library: | ||
| + | - From Knowledge Production to Societal Relevance in Earth Science {{ : | ||
| + | - Physics-Constrained Deep Learning for Downscaling Atmospheric Chemistry Simulations: | ||
| + | - Attribution of Dengue Outbreak Risk to Climate Change-Driven Changes in Extreme Events in Cali, | ||
| - Large potential of performance-based model weighting to improve decadal climate forecast skill. (EGU General Assembly, Vienna, Austria, 3-8 May 2026), Vincent Verjans | - Large potential of performance-based model weighting to improve decadal climate forecast skill. (EGU General Assembly, Vienna, Austria, 3-8 May 2026), Vincent Verjans | ||
| - eMONARCH: a Deep Learning emission sensitive Chemical-Transport Model (CTM) for Air Quality planning. (EGU General Assembly, Vienna, Austria, 3-8 May 2026), Michael Orieux | - eMONARCH: a Deep Learning emission sensitive Chemical-Transport Model (CTM) for Air Quality planning. (EGU General Assembly, Vienna, Austria, 3-8 May 2026), Michael Orieux | ||
| Line 22: | Line 27: | ||
| - Impact of chemical mechanism complexity on modelled ozone formation potential and secondary organic aerosol potential in the Barcelona plume (International Technical Meeting On Air Pollution Modeling and Its Application, | - Impact of chemical mechanism complexity on modelled ozone formation potential and secondary organic aerosol potential in the Barcelona plume (International Technical Meeting On Air Pollution Modeling and Its Application, | ||
| - Emulating tropospheric chemistry mechanisms with deep neural networks (International Technical Meeting On Air Pollution Modeling and Its Application, | - Emulating tropospheric chemistry mechanisms with deep neural networks (International Technical Meeting On Air Pollution Modeling and Its Application, | ||
| - | - Comparative analysis of bottom-up and top-down estimates of agricultural NH3 emissions in Spain (International Technical Meeting On Air Pollution Modeling and Its Application, | + | - Comparative analysis of bottom-up and top-down estimates of agricultural NH3 emissions in Spain (International Technical Meeting On Air Pollution Modeling and Its Application, |
| - Climate service: Analysis of the sub-seasonal forecast of the extreme precipitation event associated with the Valencia DANA of October 29, 2024 (DRI – Disinformation, | - Climate service: Analysis of the sub-seasonal forecast of the extreme precipitation event associated with the Valencia DANA of October 29, 2024 (DRI – Disinformation, | ||
| - Avaluació de l’impacte d’una metodologia interdisciplinària de cocreació de teatre científic: el cas de “Crema, Groenlàndia” (Congrés de la Societat Catalana de Comunicació, | - Avaluació de l’impacte d’una metodologia interdisciplinària de cocreació de teatre científic: el cas de “Crema, Groenlàndia” (Congrés de la Societat Catalana de Comunicació, | ||
| Line 34: | Line 39: | ||
| - Atrapando el CO2 para combater el cambio climático (Actividad en un colegio con estuiantes de 14-15 años, a través de " | - Atrapando el CO2 para combater el cambio climático (Actividad en un colegio con estuiantes de 14-15 años, a través de " | ||
| - Advancing wind energy services through operational km-scale climate projections F. Roura-Adserias et al. Windeurope 2026, (DestinE) link to b2drop: [[https:// | - Advancing wind energy services through operational km-scale climate projections F. Roura-Adserias et al. Windeurope 2026, (DestinE) link to b2drop: [[https:// | ||
| - | - Physics-Constrained Deep Learning for Downscaling Atmospheric Chemistry Simulations: | + | - Advancing wind energy services through operational km-scale climate projections, Jané-Ippel et al. 2026, NextGenEC26 |
| ====2025=== | ====2025=== | ||
| Line 48: | Line 53: | ||
| - A national GHG emission monitoring system to support policy makers and modelling efforts in Spain - current status and achievements (IG3IS Webinar Series (Q3-Q4, 2025), WMO, Geneva, Switzerland, | - A national GHG emission monitoring system to support policy makers and modelling efforts in Spain - current status and achievements (IG3IS Webinar Series (Q3-Q4, 2025), WMO, Geneva, Switzerland, | ||
| - Compound and cascading effects of climatic extremes on dengue outbreak risk: A prediction modelling framework using long-lag and short-lag interactions (WHO Pandemic Hub Dengue and Other Arbovirus CoP, Online, 22 October 2025), C. Fletcher et al. (CARPHA, Mosqlimate) {{ : | - Compound and cascading effects of climatic extremes on dengue outbreak risk: A prediction modelling framework using long-lag and short-lag interactions (WHO Pandemic Hub Dengue and Other Arbovirus CoP, Online, 22 October 2025), C. Fletcher et al. (CARPHA, Mosqlimate) {{ : | ||
| + | - Scalability of OpenIFS48r1+M7 (EC-Earth General Assembly, Online, 13th-17th October 2025), S. Vacondio {{ : | ||
| - Auto-EC-Earth 4 and Script Engine integration (EC-Earth General Assembly, Online, 13th-17th October 2025), E. Ferrer {{: | - Auto-EC-Earth 4 and Script Engine integration (EC-Earth General Assembly, Online, 13th-17th October 2025), E. Ferrer {{: | ||
| - Computational performance metrics for CMIP7 (EC-Earth General Assembly, Online, 13th-17th October 2025), P. Aparici and S. Palomas {{: | - Computational performance metrics for CMIP7 (EC-Earth General Assembly, Online, 13th-17th October 2025), P. Aparici and S. Palomas {{: | ||
| Line 72: | Line 78: | ||
| - The High Performance Climate & Weather Benchmark (17th JLESC workshop, Argonne National Laboratory, Lemont, USA, 13-15 May 2025), Xavier Yepes-Arbós (Severo Ochoa), {{ : | - The High Performance Climate & Weather Benchmark (17th JLESC workshop, Argonne National Laboratory, Lemont, USA, 13-15 May 2025), Xavier Yepes-Arbós (Severo Ochoa), {{ : | ||
| - clim4health: | - clim4health: | ||
| + | - Ozone sensitivity to VOCs emissions and lessons learned for the design of the Spanish National abatement plan (26th EMEP Task Force on Measurement and Modelling Meeting, Potsdam, Germany, 5-7 May 2025), Badia et al., (RESPIRE) {{ : | ||
| - Emulating tropospheric chemistry with physics-informed machine learning (EGU General Assembly, Vienna, Austria, 28 April - 1 May 2025), Alessio Melli (EACH, RESPIRE) {{ : | - Emulating tropospheric chemistry with physics-informed machine learning (EGU General Assembly, Vienna, Austria, 28 April - 1 May 2025), Alessio Melli (EACH, RESPIRE) {{ : | ||
| - Citi-Adapt: | - Citi-Adapt: | ||
library/external/presentations_away.1779203443.txt.gz · Last modified: 2026/05/19 15:10 by akawieck
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