Zobrazeno 1 - 10
of 305
pro vyhledávání: '"Luetjens P"'
Full-complexity Earth system models (ESMs) are computationally very expensive, limiting their use in exploring the climate outcomes of multiple emission pathways. More efficient emulators that approximate ESMs can directly map emissions onto climate
Externí odkaz:
http://arxiv.org/abs/2408.05288
Autor:
Brochard, G., Liu, C., Wei, X., Heidbrink, W., Lin, Z., Falessi, M. V., Zonca, F., Qiu, Z., Gorelenkov, N., Chrystal, C., Du, X., Bao, J., Polevoi, A. R., Schneider, M., Kim, S. H., Pinches, S. D., Liu, P., Nicolau, J. H., Lütjens, H., group, the ISEP
Gyrokinetic and kinetic-MHD simulations are performed for the fishbone instability in the DIII-D discharge #178631, chosen for validation of first-principles simulations to predict the energetic particle (EP) transport in an ITER prefusion baseline s
Externí odkaz:
http://arxiv.org/abs/2402.03797
Autor:
Yu, Sungduk, Hu, Zeyuan, Subramaniam, Akshay, Hannah, Walter, Peng, Liran, Lin, Jerry, Bhouri, Mohamed Aziz, Gupta, Ritwik, Lütjens, Björn, Will, Justus C., Behrens, Gunnar, Busecke, Julius J. M., Loose, Nora, Stern, Charles I., Beucler, Tom, Harrop, Bryce, Heuer, Helge, Hillman, Benjamin R., Jenney, Andrea, Liu, Nana, White, Alistair, Zheng, Tian, Kuang, Zhiming, Ahmed, Fiaz, Barnes, Elizabeth, Brenowitz, Noah D., Bretherton, Christopher, Eyring, Veronika, Ferretti, Savannah, Lutsko, Nicholas, Gentine, Pierre, Mandt, Stephan, Neelin, J. David, Yu, Rose, Zanna, Laure, Urban, Nathan, Yuval, Janni, Abernathey, Ryan, Baldi, Pierre, Chuang, Wayne, Huang, Yu, Iglesias-Suarez, Fernando, Jantre, Sanket, Ma, Po-Lun, Shamekh, Sara, Zhang, Guang, Pritchard, Michael
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderstorms that occur on the sub-resolution scale. Hybrid methods combining
Externí odkaz:
http://arxiv.org/abs/2306.08754
Autor:
Lacoste, Alexandre, Lehmann, Nils, Rodriguez, Pau, Sherwin, Evan David, Kerner, Hannah, Lütjens, Björn, Irvin, Jeremy Andrew, Dao, David, Alemohammad, Hamed, Drouin, Alexandre, Gunturkun, Mehmet, Huang, Gabriel, Vazquez, David, Newman, Dava, Bengio, Yoshua, Ermon, Stefano, Zhu, Xiao Xiang
Recent progress in self-supervision has shown that pre-training large neural networks on vast amounts of unsupervised data can lead to substantial increases in generalization to downstream tasks. Such models, recently coined foundation models, have b
Externí odkaz:
http://arxiv.org/abs/2306.03831
Autor:
Cole, Elijah, Stathatos, Suzanne, Lütjens, Björn, Sharma, Tarun, Kay, Justin, Parham, Jason, Kellenberger, Benjamin, Beery, Sara
Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites. However, computer vision is an emerging discipline that is rarely taught to ecologists. This work discus
Externí odkaz:
http://arxiv.org/abs/2301.02211
Autor:
Brochard, G., Liu, C., Wei, X., Heidbrink, W., Lin, Z., Gorelenkov, N., Chrystal, C., Du, X., Bao, J., Polevoi, A. R., Schneider, M., Kim, S. H., Pinches, S. D., Liu, P., Nicolau, J. H., Lütjens, H.
Publikováno v:
Physical Review Letters 2024
Gyrokinetic simulations of the fishbone instability in DIII-D tokamak plasmas find that self-generated zonal flows can dominate the nonlinear saturation by preventing coherent structures from persisting or drifting in the energetic particle phase spa
Externí odkaz:
http://arxiv.org/abs/2301.01792
Numerical simulations in climate, chemistry, or astrophysics are computationally too expensive for uncertainty quantification or parameter-exploration at high-resolution. Reduced-order or surrogate models are multiple orders of magnitude faster, but
Externí odkaz:
http://arxiv.org/abs/2207.11417
Autor:
Reiersen, Gyri, Dao, David, Lütjens, Björn, Klemmer, Konstantin, Amara, Kenza, Steinegger, Attila, Zhang, Ce, Zhu, Xiaoxiang
Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory methods of me
Externí odkaz:
http://arxiv.org/abs/2201.11192
Autor:
Lacoste, Alexandre, Sherwin, Evan David, Kerner, Hannah, Alemohammad, Hamed, Lütjens, Björn, Irvin, Jeremy, Dao, David, Chang, Alex, Gunturkun, Mehmet, Drouin, Alexandre, Rodriguez, Pau, Vazquez, David
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to impressive increases in generalisation for downstream tasks. Such models, recently coined as foundation models, have be
Externí odkaz:
http://arxiv.org/abs/2112.00570
Autor:
Jiang, Peishi, Meinert, Nis, Jordão, Helga, Weisser, Constantin, Holgate, Simon, Lavin, Alexander, Lütjens, Björn, Newman, Dava, Wainwright, Haruko, Walker, Catherine, Barnard, Patrick
Developing fast and accurate surrogates for physics-based coastal and ocean models is an urgent need due to the coastal flood risk under accelerating sea level rise, and the computational expense of deterministic numerical models. For this purpose, w
Externí odkaz:
http://arxiv.org/abs/2110.07100