Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Douglas, Alyson"'
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/
Aerosol-cloud interactions (ACI) include various effects that result from aerosols entering a cloud, and affecting cloud properties. In general, an increase in aerosol concentration results in smaller droplet sizes which leads to larger, brighter, lo
Externí odkaz:
http://arxiv.org/abs/2301.11921
Autor:
Jesson, Andrew, Douglas, Alyson, Manshausen, Peter, Solal, Maëlys, Meinshausen, Nicolai, Stier, Philip, Gal, Yarin, Shalit, Uri
Estimating the effects of continuous-valued interventions from observational data is a critically important task for climate science, healthcare, and economics. Recent work focuses on designing neural network architectures and regularization function
Externí odkaz:
http://arxiv.org/abs/2204.10022
Autor:
Jesson, Andrew, Manshausen, Peter, Douglas, Alyson, Watson-Parris, Duncan, Gal, Yarin, Stier, Philip
Aerosol-cloud interactions include a myriad of effects that all begin when aerosol enters a cloud and acts as cloud condensation nuclei (CCN). An increase in CCN results in a decrease in the mean cloud droplet size (r$_{e}$). The smaller droplet size
Externí odkaz:
http://arxiv.org/abs/2110.15084
Autor:
Zantedeschi, Valentina, Falasca, Fabrizio, Douglas, Alyson, Strange, Richard, Kusner, Matt J., Watson-Parris, Duncan
Publikováno v:
Tackling Climate Change with Machine Learning Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
One of the greatest sources of uncertainty in future climate projections comes from limitations in modelling clouds and in understanding how different cloud types interact with the climate system. A key first step in reducing this uncertainty is to a
Externí odkaz:
http://arxiv.org/abs/1911.04227
Akademický článek
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Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Clouds play a key role for the Earth’s energy balance; however, their response to climatic and anthropogenic aerosol emission changes is not clear, yet. Here, 20 years of satellite observations of cloud radiative effects (CRE) are analysed together
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eee074e81d1958775f1ce87d131655e
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018834
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018834
Akademický článek
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Autor:
Douglas, Alyson, L'Ecuyer, Tristan
Publikováno v:
Atmospheric Chemistry & Physics Discussions; 10/4/2022, p1-22, 22p
Akademický článek
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