Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 1, issue 1
Articles | Volume 1, issue 1
https://doi.org/10.5194/ascmo-1-45-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ascmo-1-45-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 1, issue 1
17 Nov 2015
 | 17 Nov 2015

Characterization of extreme precipitation within atmospheric river events over California

S. Jeon, Prabhat, S. Byna, J. Gu, W. D. Collins, and M. F. Wehner

Viewed

Total article views: 4,261 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,968 2,082 211 4,261 195 273
  • HTML: 1,968
  • PDF: 2,082
  • XML: 211
  • Total: 4,261
  • BibTeX: 195
  • EndNote: 273
Views and downloads (calculated since 17 Nov 2015)
Cumulative views and downloads (calculated since 17 Nov 2015)
Latest update: 30 Jan 2026
Download
Short summary
This paper investigates the influence of atmospheric rivers on spatial coherence of extreme precipitation under a changing climate. We use our TECA software developed for detecting atmospheric river events and apply statistical techniques based on extreme value theory to characterize the spatial dependence structure between precipitation extremes within the events. The results show that extreme rainfall caused by atmospheric river events is less spatially correlated under the warming scenario.
Read more
Share