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pro vyhledávání: '"McGibbon, Jeremy"'
Autor:
Srivastava, Prakhar, Yang, Ruihan, Kerrigan, Gavin, Dresdner, Gideon, McGibbon, Jeremy, Bretherton, Christopher, Mandt, Stephan
In climate science and meteorology, high-resolution local precipitation (rain and snowfall) predictions are limited by the computational costs of simulation-based methods. Statistical downscaling, or super-resolution, is a common workaround where a l
Externí odkaz:
http://arxiv.org/abs/2312.06071
Autor:
Watt-Meyer, Oliver, Dresdner, Gideon, McGibbon, Jeremy, Clark, Spencer K., Henn, Brian, Duncan, James, Brenowitz, Noah D., Kashinath, Karthik, Pritchard, Michael S., Bonev, Boris, Peters, Matthew E., Bretherton, Christopher S.
Existing ML-based atmospheric models are not suitable for climate prediction, which requires long-term stability and physical consistency. We present ACE (AI2 Climate Emulator), a 200M-parameter, autoregressive machine learning emulator of an existin
Externí odkaz:
http://arxiv.org/abs/2310.02074
Autor:
Sanford, Clayton, Kwa, Anna, Watt-Meyer, Oliver, Clark, Spencer, Brenowitz, Noah, McGibbon, Jeremy, Bretherton, Christopher
While previous works have shown that machine learning (ML) can improve the prediction accuracy of coarse-grid climate models, these ML-augmented methods are more vulnerable to irregular inputs than the traditional physics-based models they rely on. B
Externí odkaz:
http://arxiv.org/abs/2211.13354
Autor:
Kwa, Anna, Clark, Spencer K., Henn, Brian, Brenowitz, Noah D., McGibbon, Jeremy, Perkins, W. Andre, Watt-Meyer, Oliver, Harris, Lucas, Bretherton, Christopher S.
Due to computational constraints, running global climate models (GCMs) for many years requires a lower spatial grid resolution (${\gtrsim}50$ km) than is optimal for accurately resolving important physical processes. Such processes are approximated i
Externí odkaz:
http://arxiv.org/abs/2211.11820
Autor:
Brenowitz, Noah D., Perkins, W. Andre, Nugent, Jacqueline M., Watt-Meyer, Oliver, Clark, Spencer K., Kwa, Anna, Henn, Brian, McGibbon, Jeremy, Bretherton, Christopher S.
Cloud microphysical parameterizations in atmospheric models describe the formation and evolution of clouds and precipitation, a central weather and climate process. Cloud-associated latent heating is a primary driver of large and small-scale circulat
Externí odkaz:
http://arxiv.org/abs/2211.10774
Autor:
Ben-Nun, Tal, Groner, Linus, Deconinck, Florian, Wicky, Tobias, Davis, Eddie, Dahm, Johann, Elbert, Oliver D., George, Rhea, McGibbon, Jeremy, Trümper, Lukas, Wu, Elynn, Fuhrer, Oliver, Schulthess, Thomas, Hoefler, Torsten
Earth system models are developed with a tight coupling to target hardware, often containing specialized code predicated on processor characteristics. This coupling stems from using imperative languages that hard-code computation schedules and layout
Externí odkaz:
http://arxiv.org/abs/2205.04148
Publikováno v:
In Environmental Pollution 1 March 2024 344
Autor:
Brenowitz, Noah D., Henn, Brian, McGibbon, Jeremy, Clark, Spencer K., Kwa, Anna, Perkins, W. Andre, Watt-Meyer, Oliver, Bretherton, Christopher S.
Climate models are complicated software systems that approximate atmospheric and oceanic fluid mechanics at a coarse spatial resolution. Typical climate forecasts only explicitly resolve processes larger than 100 km and approximate any process occurr
Externí odkaz:
http://arxiv.org/abs/2011.03081
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Akademický článek
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