The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

Rescue of historical climate data: Compilation of a new historical data-base for Germany
Alice Kapala
Meteorological Institute, Bonn
akapala@uni-bonn.de
Susanne Bachner
Meteorological Institute, Bonn
Hermann Maechel
German Weather Service
Johannes Behrendt
German Weather Service
<strong>The</strong> sequence of disastrous floods and unusual hot summer in the last decade result in
growing scientific interest in studies in changes in extreme weather and climate events. For the
assessment of changes in climate extremes, high resolution, gap free long-term observational
records are needed. However, in the majority of the countries, and also in Germany, such
climate data are rare. In this contribution an overview will be given about efforts, which have
been made in the rescue of historical climate data in Germany. Presented are the digitalization
and quality control techniques as well as homogenisation methods of the daily climatic
records.
Annual and seasonal precipitation trend investigation in central region of Iran using
non-parametric methods
Yoones Khoshkhoo
Tehran University
yoones.khoshkhoo@gmail.com
Sohrab Hajjam
Institute of Geophysics, University of Tehran
In this paper annual and seasonal precipitation trends of some 48 meteorological stations
of central region of Iran during the (1971-2000) period were investigated using Mann-Kendall
and Sen's Estimator Slope non-parametric methods. Results show that the application of these
two methods is almost similar. the Sen's Estimator Slope method showed better performance
where the number of zero in the time series of data was considerable. <strong>The</strong> results showed a
significant negative trend in both test in some of the time series. But no significant positive
trend for both test was confirmed. Since the number of series with significant trend comparing
with series without any trend was small, therefore a general trend can not be attributed to the
region.
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