Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Oliver Angélil"'
Autor:
Dáithí A. Stone, Nikolaos Christidis, Chris Folland, Sarah Perkins-Kirkpatrick, Judith Perlwitz, Hideo Shiogama, Michael F. Wehner, Piotr Wolski, Shreyas Cholia, Harinarayan Krishnan, Donald Murray, Oliver Angélil, Urs Beyerle, Andrew Ciavarella, Andrea Dittus, Xiao-Wei Quan, Mark Tadross
Publikováno v:
Weather and Climate Extremes, Vol 24, Iss , Pp - (2019)
There is a growing research interest in understanding extreme weather in the context of anthropogenic climate change, posing a requirement for new tailored climate data products. Here we introduce the Climate of the 20th Century Plus Detection and At
Externí odkaz:
https://doaj.org/article/5567ace4f6e54507900b5529f78bcd47
Autor:
Oliver Angélil, Sarah Perkins-Kirkpatrick, Lisa V. Alexander, Dáithí Stone, Markus G. Donat, Michael Wehner, Hideo Shiogama, Andrew Ciavarella, Nikolaos Christidis
Publikováno v:
Weather and Climate Extremes, Vol 13, Iss C, Pp 35-43 (2016)
A growing field of research aims to characterise the contribution of anthropogenic emissions to the likelihood of extreme weather and climate events. These analyses can be sensitive to the shapes of the tails of simulated distributions. If tails are
Externí odkaz:
https://doaj.org/article/1b41501b68c94ed496c35e6ace10739f
Publikováno v:
Environmental Research Letters, Vol 14, Iss 6, p 065003 (2019)
Changes in precipitation totals and extremes are among the most relevant consequences of climate change, but in particular regional changes remain uncertain. While aggregating over larger regions reduces the noise in time series and typically shows i
Externí odkaz:
https://doaj.org/article/b212738a43c24363a53e422375c17052
Publikováno v:
Environmental Research Letters, Vol 12, Iss 5, p 054020 (2017)
In the midsummer of 2013, Central and Eastern China (CEC) was hit by an extraordinary heat event, with the region experiencing the warmest July–August on record. To explore how human-induced greenhouse gas emissions and natural internal variability
Externí odkaz:
https://doaj.org/article/89d612e2bb4546468f341a94eee5617f
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
El Niño-Southern Oscillation (ENSO) is the dominant mode of climate variability, affecting climate conditions over large areas of the globe. There are, however, substantial differences in how ENSO teleconnections with regional climate variability ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d92195801ecda7bb957e8e20134a23bc
Publikováno v:
Geophysical Research Letters. 45:9003-9012
Publikováno v:
Journal of Geophysical Research: Atmospheres, vol 123, iss 11
Author(s): Herger, N; Angelil, O; Abramowitz, G; Donat, M; Stone, D; Lehmann, K | Abstract: Climate models serve as indispensable tools to investigate the effect of anthropogenic emissions on current and future climate, including extremes. However, a
Autor:
Gab Abramowitz, Benjamin M. Sanderson, Nadja Herger, Oliver Angélil, Karsten Lehmann, Reto Knutti
Publikováno v:
Earth System Dynamics
Earth System Dynamics, 9 (1)
Earth System Dynamics, Vol 9, Pp 135-151 (2018)
Earth System Dynamics, 9 (1)
Earth System Dynamics, Vol 9, Pp 135-151 (2018)
End-users studying impacts and risks caused by human-induced climate change are often presented with large multi-model ensembles of climate projections whose composition and size are arbitrarily determined. An efficient and versatile method that find
Publikováno v:
Journal of Climate. 30:6543-6560
The southeastern periphery of the Tibetan Plateau (SEPTP) was hit by an extraordinarily severe drought in the autumn of 2009. Overall, the SEPTP has been gripped by a sustained drought for six consecutive years. To better understand the physical caus
Publikováno v:
Risser, MD; Stone, DA; Paciorek, CJ; Wehner, MF; & Angélil, O. (2017). Quantifying the effect of interannual ocean variability on the attribution of extreme climate events to human influence. Climate Dynamics, 49(9-10), 3051-3073. doi: 10.1007/s00382-016-3492-x. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/5jf0x9r9
Climate Dynamics, vol 49, iss 9-10
Climate Dynamics, vol 49, iss 9-10
© 2017, Springer-Verlag Berlin Heidelberg. In recent years, the climate change research community has become highly interested in describing the anthropogenic influence on extreme weather events, commonly termed “event attribution.” Limitations