Atmospheric circulation is important in determining the surface climate and
environment. To quantify its effect, circulation indices or classification
s of circulation type are often used. In this study, the classification sys
tem developed by Lamb (1950. Quarterly Journal of the Royal Meteorological
Society 76: 393-438) is applied to obtain circulation information for Swede
n on a monthly basis. For that purpose, monthly mean sea-level pressure (MS
LP) data from 1873 to 1995 is used to derive six circulation indices and to
provide a circulation catalogue with 27 circulation types. The frequency o
f circulation types over different periods is computed and described. Four
major types (cyclonic, C; west, W; southwest, SW; anticyclonic, A) have bee
n identified. The catalogue and the associated indices provide a tool for i
nterpreting the regional climate and for developing statistical downscaling
models to derive regional climate change scenarios for Sweden.
An example is given to illustrate the application and usefulness of this cl
imatology. It deals with the linkage between the mean regional temperature
in southwestern Sweden and the large-scale circulation. It is shown that di
rectional flows with a westerly component clearly favour a positive tempera
ture anomaly, while the anticyclonic condition often induces a negative ano
maly. Moreover, it is the westerly or southwesterly flows that accompany ex
treme positive temperature anomalies, whereas anticyclonic conditions play
an important role in creating extreme negative temperature anomalies. Furth
er, the derived indices have a relationship with temperature anomalies, est
ablished via a statistical model. Stepwise multiple regression was used, le
ading to a successful model with only three indices. Using the model, 70% o
f the total variance in the temperature anomalies between 1887 and 1994 has
been reconstructed from the pressure, which leads to the conclusion that t
he circulation is a critical determinant of the January temperature and tha
t the derived climatology is useful in explaining the temperature anomalies
. Copyright (C) 2000 Royal Meteorological Society.