Statistics – Computation
Scientific paper
Jan 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999adspr..24..967r&link_type=abstract
Advances in Space Research, Volume 24, Issue 7, p. 967-970.
Statistics
Computation
1
Scientific paper
The aim of the study is to present actual daily and climatically representative monthly maps of the surface radiation balance components derived from METEOSAT data. The encrypted digital images are now available in every three hours in Hungary. Hence, the first problem to solve is the estimation of diurnal mean radiation components from the archived 1-3 observations of the day between 8 and 15 UTC (+1-2 hours in local time). This computation is performed by Lagrange-interpolation. Since the skill of these day-to-day estimations is not at all obvious, the estimation of monthly averages is performed in two steps. First, the hourly observations from the 1992-1996 period are averaged for each hour separately, and these, more regularly varying values are smoothed by the Lagrange-interpolation, in the second step. For the monthly radiation maps, our purpose was also to improve their climatic representativity by using stratified sampling, based on macrosynoptic classification, first described by Mika et al. (1994). This classification considers the surface pressure patterns in Central Europe and the reference climatology for them is originated from the 1961-1990 period. The differences between sample means and stratified means are in some cases considerable, as presented in the parallel figures of some months and components presented in the paper
Dobi I.
Imecs Z.
Kerényi J.
Mika J.
Randriamampianina R.
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