CLIMATOLOGICAL FEATURES OF BLOCKING ANTICYCLONES - A STUDY OF NORTHERN-HEMISPHERE CCM1 MODEL BLOCKING EVENTS IN PRESENT-DAY AND DOUBLE CO2 CONCENTRATION ATMOSPHERES
Ar. Lupo et al., CLIMATOLOGICAL FEATURES OF BLOCKING ANTICYCLONES - A STUDY OF NORTHERN-HEMISPHERE CCM1 MODEL BLOCKING EVENTS IN PRESENT-DAY AND DOUBLE CO2 CONCENTRATION ATMOSPHERES, Climate dynamics, 13(3), 1997, pp. 181-195
Using output made with the National Center for Atmospheric Research (N
CAR) Community Climate Model Version 1 (CCM1), the characteristics of
blocking events over the Northern Hemisphere in a ten-year present day
control simulation with a CO2 concentration of 330 ppm were compared
to those in a previously analyzed observational three-year climatology
. The characteristics of blocking events in a double present-day CO2 c
oncentration simulation were then compared to those in the control sim
ulation in order to evaluate how these characteristics might change in
an increased CO2 atmosphere. The results demonstrated that in the Nor
thern Hemisphere the CCM1 correctly simulated many characteristics of
blocking events such as average annual number of occurrences, annual v
ariations is size and intensity, and preferred formation regions. A mo
re detailed analysis (i.e., by region and season) revealed some differ
ences between the CCM1 and observed blocking events for characteristic
s such as mean frequency of occurrence, intensity, size and duration.
In addition, the model failed to capture adequately the occurrence of
blocking events over the western Asian continent. A comparison of the
double CO2 concentration run to the control showed that, in general, b
locking events were more persistent and weaker, but of similar size in
the increased CO2 atmosphere. Also, some statistically significant re
gional and seasonally dependent changes were found in the frequency of
occurrence, duration, and intensity. Finally, a correlation between b
lock size and intensity, significant at the 99% confidence level, was
found in each climatology. This result is similar to a correlation fou
nd in the analysis of observations.