Risultati della ricerca - Lessig, Christian
- Mostra 1 - 17 risultati su 17
-
1
Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core Autoría: Jendersie, Robert, Lessig, Christian, Richter, Thomas
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
2
SIGGRAPH: G: Improved Projective Dynamics Global Using Snapshots-based Reduced Bases Autoría: Monem, Shaimaa, Benner, Peter, Lessig, Christian
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
3
ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution Autoría: Couairon, Guillaume, Lessig, Christian, Charantonis, Anastase, Monteleoni, Claire
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
4
Efficient implementation of high-order isospectral symplectic Runge-Kutta schemes Autoría: da Silva, Clauson Carvalho, Lessig, Christian, Tomei, Carlos
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
5
A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries Autoría: Jendersie, Robert, Margenberg, Nils, Lessig, Christian, Richter, Thomas
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
6
An adaptive finite element multigrid solver using GPU acceleration Autoría: Liebchen, Manuel, Jendersie, Robert, Kaya, Utku, Lessig, Christian, Richter, Thomas
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
7
ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting Autoría: Couairon, Guillaume, Singh, Renu, Charantonis, Anastase, Lessig, Christian, Monteleoni, Claire
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
8
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling Autoría: Harder, Paula, Lessig, Christian, Chantry, Matthew, Pelletier, Francis, Rolnick, David
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
9
Machine Learning for the Physics of Climate Autoría: Bracco, Annalisa, Brajard, Julien, Dijkstra, Henk A., Hassanzadeh, Pedram, Lessig, Christian, Monteleoni, Claire
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
10
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations Autoría: Singh, Renu, Brunstein, Robert, Jost, Antonia, Rackow, Thomas, Monteleoni, Claire, Hasson, Yana, Lessig, Christian, Couairon, Guillaume
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
11
Emerging AI-based weather prediction models as downscaling tools Autoría: Koldunov, Nikolay, Rackow, Thomas, Lessig, Christian, Danilov, Sergey, Cheedela, Suvarchal K., Sidorenko, Dmitry, Sandu, Irina, Jung, Thomas
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
12
RainShift: A Benchmark for Precipitation Downscaling Across Geographies Autoría: Harder, Paula, Schmidt, Luca, Pelletier, Francis, Ludwig, Nicole, Chantry, Matthew, Lessig, Christian, Hernandez-Garcia, Alex, Rolnick, David
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
13
Robustness of AI-based weather forecasts in a changing climate Autoría: Rackow, Thomas, Koldunov, Nikolay, Lessig, Christian, Sandu, Irina, Alexe, Mihai, Chantry, Matthew, Clare, Mariana, Dramsch, Jesper, Pappenberger, Florian, Pedruzo-Bagazgoitia, Xabier, Tietsche, Steffen, Jung, Thomas
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
14
Data driven weather forecasts trained and initialised directly from observations Autoría: McNally, Anthony, Lessig, Christian, Lean, Peter, Boucher, Eulalie, Alexe, Mihai, Pinnington, Ewan, Chantry, Matthew, Lang, Simon, Burrows, Chris, Chrust, Marcin, Pinault, Florian, Villeneuve, Ethel, Bormann, Niels, Healy, Sean
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
15
AIFS -- ECMWF's data-driven forecasting system Autoría: Lang, Simon, Alexe, Mihai, Chantry, Matthew, Dramsch, Jesper, Pinault, Florian, Raoult, Baudouin, Clare, Mariana C. A., Lessig, Christian, Maier-Gerber, Michael, Magnusson, Linus, Bouallègue, Zied Ben, Nemesio, Ana Prieto, Dueben, Peter D., Brown, Andrew, Pappenberger, Florian, Rabier, Florence
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
16
AIMIP Phase 1: systematic evaluations of AI weather and climate models Autoría: Henn, Brian, Bretherton, Christopher S., Koldunov, Nikolay, Lessig, Christian, Molina, Maria J., Arcomano, Troy, Watt-Meyer, Oliver, Couairon, Guillaume, Singh, Renu, Brunstein, Robert, Hasson, Yana, Jost, Antonia, Brenowitz, Noah, Manshausen, Peter, Cresswell-Clay, Nathaniel, Durran, Dale, Hall, Kyle Joseph Chen, Yuval, Janni, Kochkov, Dmitrii, Hoyer, Stephan, Lopez-Gomez, Ignacio
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
17
Representing the Surface Ocean in ECMWF's data-driven forecasting system AIFS Autoría: Hahner, Sara, Zampieri, Lorenzo, Bidlot, Jean-Raymond, Browne, Philip, Chantry, Matthew, Clare, Mariana C. A., Cook, Harrison, Dueben, Peter, Furner, Rachel, Keeley, Sarah, Kousal, Josh, Lang, Simon, Lessig, Christian, Mertes, Gert, Mogensen, Kristian, Moldovan, Gabriel, Pelletier, Charles, Pinault, Florian, Nemesio, Ana Prieto, Raoult, Baudouin, Sandu, Irina, Cruz, Mario Santa, Schloer, Jakob, Tietsche, Steffen, Zuo, Hao
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso