CLIMATE
RELATIONSHIP OF CENTRAL EUROPE
Understanding
climate zones of central Europe is an important step in better interpreting the
tree ring data. The locations of
the individual trees that comprise the tree ring chronologies are far less
significant if they are not in the same climate belts.
There are distinct climate divisions in Europe as evident from the
meteorological data. So, European chronologies do not all relate or crossdate with
each other. There is, however, a
decent GLK value for the European oak chronologies in the United Kingdom and the
temperate regions of north central Europe (Schweingruber, 1988, 131, Baillie,
1982). There is an annual
precipitation and temperature gradient by latitude in central Europe (Schuepp and Schirmer, 1977, Pfister and Lauterburg,
1992)
. The predominant wind
direction, Gulf Stream effect, various mountain ranges, and Mediterranean Sea
all contribute to the variability in European climate.
At larger
scales of geographic generalization, such as biological growing patterns, it is
necessary to use zonal belts (Chernavskaya,
1992)
. The environmental
differentiation of central Europe becomes more apparent looking at the dominant
vegetation types (Figure 4.2). This
places the majority of Germania in the same climate zone with a few exceptions
in the Netherlands, the far eastern portions, and high mountain areas.
However, there is more to establishing a climate relation than dominant
vegetation cover, even though it is a good place to start.
Over
the past few hundred years, meteorological records have become more abundant and
widespread. Some of the earliest
European weather stations are in central Europe at Basel, Berlin, Geneva, Höhenpeissenberg,
Vienna, and the Great Saint Bernard Pass (Figure 4.3).
These older sites have recorded various meteorological phenomena from the
early 18th century. A correlation study on monthly and annual meteorological
variation from the stations based in Berlin (records tested 1719 to 1927),
Prague (records tested 1775 to 1934), and Karlsruh (records tested 1779 to 1920)
have been shown to be very close (Schuepp
and Schirmer, 1977)
(Figure 4.4). These sites
did show the predicted variation by latitude, but they correlated to each other
and weather phenomena at one site was reflected in the others.
There
is a correlation in the modern monthly mean precipitation records from the
weather stations located in Berlin, Essen, Fichtelberg, Geisenheim, Goerlitz,
Hamburg, Hannover, Karlsruhe, Kassel, Konstanz, Lindenberg, Muenchen, Nuernberg,
Potsdam, Tostock, Schleswig, and Trier (Figure 4.5). These meteorological
stations’ records were compiled and averaged by their monthly mean
precipitation from 1961 to 1991. The
monthly averages shows that this entire region receives most precipitation in
June and July and least in October and February.
More importantly, these data show that all of the weather stations record
rainfall through out the year (Figure 4.6).
Looking
at the annual precipitation records of weather stations in Berlin, Copenhagen,
Frankfurt, Geneva, Prague, Trier, and Vienna from 1850 to 1969 (Figure 4.7),
there is a latitudinal gradient over Central Europe, but there is still a
relationship between the stations (Figure 4.8). For example, the data reveal that annual precipitation is
greater in Geneva than in Prague. Modern
precipitation records for central Europe show there is general consistency in
both maximum and minimum precipitation across Europe that could have been
proportionately similar in 3rd century Germania (Figures 4.9 and
4.10). Figures 4.9 and 4.10 reveal
that southern and western Germania would receive more precipitation than eastern
Germania, especially near the mountainous regions of the Alps and Caspian
ranges.
Western
and southern Germania would be an ideal location of tree ring studies that would
be representative of the majority of central Europe.
Central Europe is divided into east and west zones in the spring that
divide the region about the Vistula River, but the remainder of the year is
fairly contiguous (Pfister
and Lauterburg, 1992)
. Therefore, if the tree
ring record suggests that the trees of western and southern Germania were
showing poor growth rates, or smaller rings, then the rest of Germania would be
affected as well. There is a good
correlation between the tree ring chronologies of central Europe, except for
some of the high alpine chronologies that reflecting orographic effects.
Using the GLK coefficient, there is a high correlation making the tree
ring records crossdatable between the German and the Netherlands chronologies (Brongers,
1973)
(Figure 4.11). The average
correlation using GLK of the Netherlands and German is 63.5% with an average of
300 years overlap in the study. This degree of correlation indicates accurate crossdating
and, in turn, shows similar interpretations of climate variability over the same
period (Table 4.1).
This is not
the case with the Mediterranean chronologies. The Mediterranean tree-ring chronologies have proven to be
difficult for purposes of isolating precipitation and temperature, because they
are in a climate zone with different characteristics than central Europe (Serre-Bachet,
1989)
. The Mediterranean region
does not show as strong seasonal variability as central Europe and this is
reflected in their chronologies. The ancient region of Germania had a different climate regime
than those south of the Alps and should have to be studied separately (Serre-Bachet,
1989)
.
The four chronologies, river Main, river Danube, Becker Roman
Archeological, and the corrected Hollstein, are in ideal locations to
reconstruct the climate variability in the river valleys of Germania (Figure
4.12). Since all four of these
chronologies crossdate very well, they were combined into a master chronology
for the whole region. The modern
records support the correlation between the region north of the Alps, which is
the ancient region of Germania. These
climate consistencies allow the master tree-ring record to be applied in the
study of climate change in Germania.
Table
4.1 – Chart showing the gleicklaufigkeit (GLK) comparison between the
Netherlands chronologies and the German master chronology showing the high level
of correlation in central Europe (Brongers,
1973)
.
|
Netherlands
Chronology
Location |
Number
of Years Compared to
the German Chronologies |
Gleichlaufigkeit
Value (100%
= perfect correlation) |
|
Groningen |
100 |
63% |
|
Hoog-Soeren |
200 |
73% |
|
Twickel/
Oele |
270 |
59.5% |
|
Amersfoort |
300 |
68.1% |
|
East-North
Brabant |
260 |
59.9% |
|
|
|
|
|
All
Chronologies |
300 |
65.1% |