Tornadoes in Europe: Risk and Vulnerability Assessment
1. Tornadoes in Europe
Risk and vulnerability assessment
Bogdan Antonescu*
David M. Schultz
Geraint Vaughan
Kelsey Mulder
University of Manchester, UK
*AXA Research Fund
16. ERA Interim
2004–2013
0.75ox0.75o
1200 UTC
35 levels
NCAR/NCEP reanalysis
1997–1999
1.915ox1.875o
1800 UTC
28 levels
day with favorable tornado parameters (nT)
using the thresholds from Brooks et al. (2003)
for CAPE, LCL, lapse rate, shear
17.
18. ERA Interim
2004–2013
0.75ox0.75o
1200 UTC
35 levels
NCAR/NCEP reanalysis
1997–1999
1.915ox1.875o
1800 UTC
28 levels
day with favorable tornado parameters (nT)
using the thresholds from Brooks et al. (2003)
for CAPE, LCL, lapse rate, shear
Explanatory model log 휆 = 훼0 + 훼1푛
Notas do Editor
A measure of population
is used as a covariate,
“presuming that for some level of population a tornado is extremely hard to ignore, even with an unmotivated observing system”
(Anderson et al. 2007
1200 UTC = 46% of tornado reports <-> 1800 UTC = 39% tornado reports 2004-2013
1200 UTC = 46% of tornado reports <-> 1800 UTC = 39% tornado reports 2004-2013