Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Yuan, Tianle"'
Autor:
Christensen, Matthew W., Gettelman, Andrew, Cermak, Jan, Dagan, Guy, Diamond, Michael, Douglas, Alyson, Feingold, Graham, Glassmeier, Franziska, Goren, Tom, Grosvenor, Daniel P., Gryspeerdt, Edward, Kahn, Ralph, Li, Zhanqing, Ma, Po-Lun, Malavelle, Florent, McCoy, Isabel L., McCoy, Daniel T., McFarquhar, Greg, Mülmenstädt, Johannes, Pal, Sandip, Possner, Anna, Povey, Adam, Quaas, Johannes, Rosenfeld, Daniel, Schmidt, Anja, Schrödner, Roland, Sorooshian, Armin, Stier, Philip, Toll, Velle, Watson-Parris, Duncan, Wood, Robert, Yang, Mingxi, Yuan, Tianle
Aerosol–cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due to human activities. The nonlinearity of cloud-state changes to aerosol perturbations make it challenging to attribute causality i
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A82040
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
Autor:
Boussif, Oussama, Boukachab, Ghait, Assouline, Dan, Massaroli, Stefano, Yuan, Tianle, Benabbou, Loubna, Bengio, Yoshua
Solar power harbors immense potential in mitigating climate change by substantially reducing CO$_{2}$ emissions. Nonetheless, the inherent variability of solar irradiance poses a significant challenge for seamlessly integrating solar power into the e
Externí odkaz:
http://arxiv.org/abs/2306.01112
Autor:
Yuan, Tianle, Song, Hua, Wood, Robert, Wang, Chenxi, Oreopoulos, Lazaros, Platnick, Steven, von Hippel, Sophia, Meyer, Kerry, Light, Siobhan, Wilcox, Eric
Ship-tracks are produced by ship-emitted aerosols interacting with marine low clouds. Here we apply deep learning models on satellite data to produce the first multi-year global climatology map of ship-tracks. We show that ship-tracks are at the nexu
Externí odkaz:
http://arxiv.org/abs/2206.05382
We introduce a conditional Generative Adversarial Network (cGAN) approach to generate cloud reflectance fields (CRFs) conditioned on large scale meteorological variables such as sea surface temperature and relative humidity. We show that our trained
Externí odkaz:
http://arxiv.org/abs/2002.07579
Autor:
Yuan, Tianle
Here we introduce the artificial intelligence-based cloud distributor (AI-CD) approach to generate two-dimensional (2D) marine low cloud reflectance fields. AI-CD uses a conditional generative adversarial net (cGAN) framework to model distribution of
Externí odkaz:
http://arxiv.org/abs/1905.08700
Autor:
Wilcox, Eric M.1 (AUTHOR) eric.wilcox@dri.edu, Yuan, Tianle2,3 (AUTHOR), Song, Hua2,4 (AUTHOR)
Publikováno v:
Atmospheric Measurement Techniques. 2023, Vol. 16 Issue 21, p5387-5401. 15p.
Akademický článek
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African dust exhibits strong variability on a range of time scales. Here we show that the interhemispheric contrast in Atlantic SST (ICAS) drives African dust variability on interannual, multidecadal, and millennial timescales, and a strong anthropog
Externí odkaz:
http://arxiv.org/abs/1804.07188
Autor:
Yuan, Tianle
Marine stratocumulus clouds play a critical role in the Earth's climate system. They display an amazing array of complex behaviors at many different spatiotemporal scales. Precipitation in these clouds is in general very light, but it is vital for cl
Externí odkaz:
http://arxiv.org/abs/1506.08768
Autor:
Yuan, Tianle.
Thesis (Ph. D.) -- University of Maryland, College Park, 2008.
Thesis research directed by: Dept. of Atmospheric and Oceanic Sciences. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor
Thesis research directed by: Dept. of Atmospheric and Oceanic Sciences. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor
Externí odkaz:
http://hdl.handle.net/1903/8509