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Inhalt:
The short-term variability of the isotopic composition of precipitation in Golm, Germany was assessed and modelled. Isotopic data (D/H and 18O/16O) on intra-event timescales as well as meteorological data from a weather station and a micro rain radar was used. After data preparation and the combination of all three data sets, a multivariate linear regression analysis was conducted. This was done for four different isotopic response variables and for the entire data set as well as for the two subsets Summer and Winter. The used response variables are the δ18O values as the difference to the corresponding event-based mean and as the difference to the median, and the deuterium excess values as the difference to both the mean and the median. The models were evaluated by comparing the modelled values with the observed ones. This showed that the observations could not be reproduced in a satisfactory way. Therefore, several suggestions on how to possibly improve the methods and thus the modelling results are given in the end.
Anmerkung:
Bachelorarbeit Universität Potsdam 2017
Sprache:
Englisch
Schlagwort(e):
Hochschulschrift
DOI:
10.25932/publishup-50661
URN:
urn:nbn:de:kobv:517-opus4-506612
URL:
https://doi.org/10.25932/publishup-50661
URL:
https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-506612
URL:
https://d-nb.info/1234058766/34
Mehr zum Autor:
Barthold, Frauke Katrin 1978-
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