This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
library:external:posters [2026/04/28 13:54] lpalma |
library:external:posters [2026/04/30 13:37] (current) ccampos |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | =====Posters===== | ||
| - | |||
| - | * **Naming convention: title of the event (city, country, dates of the event (days month year)), title of the poster, first author (name of the project/s acknowledged). ** ** file **\\ | ||
| - | * **Please keep the ascending chronological order** | ||
| - | |||
| - | |||
| [[library: | [[library: | ||
| ==== 2026 ==== | ==== 2026 ==== | ||
| + | - ACTRIS Science Conference (Oslo, Norway, April 20-23 2026), Providentia: | ||
| - 5th ECMWF-ESA Machine Learning Workshop (Bologna, Italy, 13-17 Abril 2026), Machine Learning-Based Reconstruction and Projection of Global Land Use at High Resolution, M. Castaño et al. (CONCERTO, TerraDT). {{ : | - 5th ECMWF-ESA Machine Learning Workshop (Bologna, Italy, 13-17 Abril 2026), Machine Learning-Based Reconstruction and Projection of Global Land Use at High Resolution, M. Castaño et al. (CONCERTO, TerraDT). {{ : | ||
| + | - ECMWF-ESA ML Workshop (Bologna, Italy, 13-17 April 2026). eMONARCH: An AI-Driven Emulator of the MONARCH CTM. D. Mathas et al. (AIRE, RESPIRE). {{: | ||
| - CERISE General Assembly (Barcelona, Spain, 17-19 March 2026), An Explainable AI Assessment of Soil Moisture and Atmospheric Circulation as Drivers of Heat Extremes in Seasonal Predictions, | - CERISE General Assembly (Barcelona, Spain, 17-19 March 2026), An Explainable AI Assessment of Soil Moisture and Atmospheric Circulation as Drivers of Heat Extremes in Seasonal Predictions, | ||
| - CERTAINTY Annual Meeting (Helsinki, Finland, 17-19 March 2026), Updates and Improvements to EC-Earth4: Mineral Dust Scheme and Cold Cloud Processes, M. Chatziparaschos et al. (CERTAINTY). {{ : | - CERTAINTY Annual Meeting (Helsinki, Finland, 17-19 March 2026), Updates and Improvements to EC-Earth4: Mineral Dust Scheme and Cold Cloud Processes, M. Chatziparaschos et al. (CERTAINTY). {{ : | ||
| Line 16: | Line 11: | ||
| - CMIP Community Workshop 2026 (Online, March 9th-13th, 2026), Quantifying the Scientific Skill of High-Resolution Models with pyhanami, M. Alerany Solé et al. (HANAMI) {{ : | - CMIP Community Workshop 2026 (Online, March 9th-13th, 2026), Quantifying the Scientific Skill of High-Resolution Models with pyhanami, M. Alerany Solé et al. (HANAMI) {{ : | ||
| - EXPECT General Assembly (Lisbon, Portugal, 14-16 April 2026), Large potential of performance-based model weighting to improve decadal climate forecast skill, V. Verjans et al. (EXPECT, 101137656). {{library: | - EXPECT General Assembly (Lisbon, Portugal, 14-16 April 2026), Large potential of performance-based model weighting to improve decadal climate forecast skill, V. Verjans et al. (EXPECT, 101137656). {{library: | ||
| + | - EGU2026 General Assembly (Vienna, Austria, 3-8 May 2026), Improving NO₂ Episode Detection with TROPOMI: A Decomposition Approach Across Diverse Orography , Cristina Campos (UrbainAir).{{ : | ||
| + | - EGU2026 General Assembly (Vienna, Austria, 3-8 May 2026), Uncertainty-aware downscaling of NO2 surface levels in urban environments, | ||
| ==== 2025 ==== | ==== 2025 ==== | ||
| - Barcelona Deep Learning Symposium 2025 (Barcelona, Spain, Dec 17th, 2025), Historical Reconstruction and Future Projection of Land Surface Boundary Conditions. A. Mozaffari et al. {{ : | - Barcelona Deep Learning Symposium 2025 (Barcelona, Spain, Dec 17th, 2025), Historical Reconstruction and Future Projection of Land Surface Boundary Conditions. A. Mozaffari et al. {{ : | ||
| - NeurIPS 2025 (San Diego, US, Dec 2nd - 7th, 2025), Historical Reconstruction and Future Projection of Land Surface Boundary Conditions. A. Mozaffari et al. {{ : | - NeurIPS 2025 (San Diego, US, Dec 2nd - 7th, 2025), Historical Reconstruction and Future Projection of Land Surface Boundary Conditions. A. Mozaffari et al. {{ : | ||
| - NeurIPS 2025 (San Diego, US, Dec 2nd - 7th, 2025), A modular framework to run AI-based models from high-resolution climate projections. A. Gaya-Àvila et al. {{: | - NeurIPS 2025 (San Diego, US, Dec 2nd - 7th, 2025), A modular framework to run AI-based models from high-resolution climate projections. A. Gaya-Àvila et al. {{: | ||
| + | - Congreso de Comunicación Social de la Ciencia 2025 (Palma de Mallorca, Spain, 27-30 November 2025), How to communicate climate change? An all-in-one solution with a practical case on climate services, Clàudia Huertas et al. (CLIMA-GAP, Climateurope2), | ||
| - E-vigilancia (Rio de Janeiro, Brasil, 25-27 November 2025), Harmonizing climate, environment and health data: an introduction to the HARMONIZE 4health toolkit. D. Lührsen et al. {{ : | - E-vigilancia (Rio de Janeiro, Brasil, 25-27 November 2025), Harmonizing climate, environment and health data: an introduction to the HARMONIZE 4health toolkit. D. Lührsen et al. {{ : | ||
| - UPCLIV Workshop (Bologna, Italy, 18-20 November 2025), Large potential of performance-based model weighting to improve decadal climate forecast skill. V. Verjans et al. (EXPECT) {{ : | - UPCLIV Workshop (Bologna, Italy, 18-20 November 2025), Large potential of performance-based model weighting to improve decadal climate forecast skill. V. Verjans et al. (EXPECT) {{ : | ||
| Line 59: | Line 56: | ||
| - EMS 2024 (Barcelona, Spain, 2-6 September 2024), Innovative approaches to science communication for climate and air quality services, Martín del Real, I., Urquiza, D., and Terrado, M. (GreenScent, | - EMS 2024 (Barcelona, Spain, 2-6 September 2024), Innovative approaches to science communication for climate and air quality services, Martín del Real, I., Urquiza, D., and Terrado, M. (GreenScent, | ||
| - IMSC 2024 (Toulouse, France, 24-28 June 2024), Attribution of long-term trends in the Western Mediterranean: | - IMSC 2024 (Toulouse, France, 24-28 June 2024), Attribution of long-term trends in the Western Mediterranean: | ||
| + | - 4th ECMWF-ESA Machine Learning Workshop (Frascati, Italy, 7-10 May 2024), A global empirical system for probabilistic seasonal climate prediction based on generative AI and CMIP6 models. Ll. Palma et al., (AI4Drought) {{ : | ||
| - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), Collaboratively developing workflows at the BSC-ES, G. Montané Pinto (FOCI). {{ : | - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), Collaboratively developing workflows at the BSC-ES, G. Montané Pinto (FOCI). {{ : | ||
| - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), The data streaming in the Climate Adaptation Digital Twin: a fundamental piece to transform climate data into climate information, | - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), The data streaming in the Climate Adaptation Digital Twin: a fundamental piece to transform climate data into climate information, | ||
| + | - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), A global empirical system for probabilistic seasonal climate prediction based on generative AI and CMIP6 models. Ll. Palma et al., (AI4Drought) {{ : | ||
| - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), A co-production methodology for high-quality climate services: An example from the health sector. Inés Martín del Real, Marta Terrado, Diana Urquiza, Paula Checchia Adell, Alba Llabrés-Brustenga, | - EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), A co-production methodology for high-quality climate services: An example from the health sector. Inés Martín del Real, Marta Terrado, Diana Urquiza, Paula Checchia Adell, Alba Llabrés-Brustenga, | ||
| - CERISE General Assembly 2024 (Reading, UK, 17-19 January 2024), SUNSET: the SUbseasoNal to decadal climate forecast post-processiNg and asSEssmenT suite, V. Agudetse (CERISE-101082139). {{{{ : | - CERISE General Assembly 2024 (Reading, UK, 17-19 January 2024), SUNSET: the SUbseasoNal to decadal climate forecast post-processiNg and asSEssmenT suite, V. Agudetse (CERISE-101082139). {{{{ : | ||