Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 2, issue 2
Articles | Volume 2, issue 2
https://doi.org/10.5194/ascmo-2-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ascmo-2-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 2, issue 2
04 Nov 2016
 | 04 Nov 2016

Evaluating NARCCAP model performance for frequencies of severe-storm environments

Eric Gilleland, Melissa Bukovsky, Christopher L. Williams, Seth McGinnis, Caspar M. Ammann, Barbara G. Brown, and Linda O. Mearns

Viewed

Total article views: 1,855 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,052 679 124 1,855 141 137
  • HTML: 1,052
  • PDF: 679
  • XML: 124
  • Total: 1,855
  • BibTeX: 141
  • EndNote: 137
Views and downloads (calculated since 04 Nov 2016)
Cumulative views and downloads (calculated since 04 Nov 2016)

Viewed (geographical distribution)

Total article views: 1,785 (including HTML, PDF, and XML) Thereof 1,784 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 May 2024
Download
Short summary
Several climate models are evaluated under current climate conditions to determine how well they are able to capture frequencies of severe-storm environments (conditions conducive for the formation of hail storms, tornadoes, etc.). They are found to underpredict the spatial extent of high-frequency areas (such as tornado alley), as well as underpredict the frequencies in the areas.
Read more