Zobrazeno 1 - 10
of 425
pro vyhledávání: '"Ullrich, Paul"'
Autor:
Ullrich, Paul A., Barnes, Elizabeth A., Collins, William D., Dagon, Katherine, Duan, Shiheng, Elms, Joshua, Lee, Jiwoo, Leung, L. Ruby, Lu, Dan, Molina, Maria J., O'Brien, Travis A.
Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics-based
Externí odkaz:
http://arxiv.org/abs/2410.19882
Autor:
Gong, Qian, Zhang, Chengzhu, Liang, Xin, Reshniak, Viktor, Chen, Jieyang, Rangarajan, Anand, Ranka, Sanjay, Vidal, Nicolas, Wan, Lipeng, Ullrich, Paul, Podhorszki, Norbert, Jacob, Robert, Klasky, Scott
Publikováno v:
2023 IEEE 19th International Conference on e-Science, Limassol, Cyprus, 2023, pp. 1-10
Scientific discoveries are increasingly constrained by limited storage space and I/O capacities. For time-series simulations and experiments, their data often need to be decimated over timesteps to accommodate storage and I/O limitations. In this pap
Externí odkaz:
http://arxiv.org/abs/2401.03317
Autor:
Swenson, Leif M.1 (AUTHOR) lmswenson@ucdavis.edu, Ullrich, Paul A.1,2 (AUTHOR)
Publikováno v:
Journal of Climate. Nov2024, Vol. 37 Issue 21, p5465-5482. 18p.
Almonds are one of the most lucrative products of California, but are also among the most sensitive to climate change. In order to better understand the relationship between climatic factors and almond yield, an automated machine learning framework i
Externí odkaz:
http://arxiv.org/abs/2211.03925
Critical point tracking is a core topic in scientific visualization for understanding the dynamic behavior of time-varying vector field data. The topological notion of robustness has been introduced recently to quantify the structural stability of cr
Externí odkaz:
http://arxiv.org/abs/2209.11708
Autor:
Srivastava, Abhishekh Kumar, Wehner, Michael, Bonfils, Céline, Ullrich, Paul Aaron, Risser, Mark
Publikováno v:
In Weather and Climate Extremes September 2024 45
Akademický článek
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Akademický článek
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Publikováno v:
In Global Environmental Change September 2023 82
Autor:
Taylor, Mark A., Guba, Oksana, Steyer, Andrew, Ullrich, Paul, Hall, David, Eldred, Christopher
We derive a formulation of the nonhydrostatic equations in spherical geometry with a Lorenz staggered vertical discretization. The combination conserves a discrete energy in exact time integration when coupled with a mimetic horizontal discretization
Externí odkaz:
http://arxiv.org/abs/1908.04430