final_program_abstracts[1]

11 IMSC Session Program
Methodological questions of data series comparison for
homogenization
Tuesday - Poster Session 8
Tamás Szentimrey, Mónika Lakatos and Zita Bihari
Hungarian Meteorological Service, Budapest, Hungary
The aim of the homogenization procedures is to detect the inhomogeneities and to
correct the series. In general the relative homogeneity principle is used to remove the
unknown climate change signal since we have no information about the shape of this
signal. During the relative procedures the series can be compared mutually and the
role of series – that may be candidate or reference ones – is changing in the course of
procedure. The reference series are not assumed to be homogeneous at the
sophisticated examinations! The significance and the power of the procedures can be
defined according to the probabilities of type of errors. Type one error means the
detection of false or superfluous inhomogeneity while type two error means
neglecting some real inhomogeneity.
The methodology of comparison of series is related to the following questions:
reference series creation, difference series constitution, multiple comparisons of series
etc. This topic is very important for detection as well as for correction, because the
efficient comparison of series can increase both the significance and the power. The
development of efficient comparison methods can be based on the examination of the
spatial covariance structure of data series. Consequently the spatial mathematical
modelling is also a key question of data series homogenization and it is a basic part of
our homogenization method MASH (Multiple Analysis of Series for
Homogenization) as well.
During our presentation we intend to focus on the above mentioned topic with special
regard on the activity within the COSTES0601 HOME action.
Abstracts 112