Journal Article10.1002/JOC.3370060607
A homogeneity test applied to precipitation data
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TL;DR: In this paper, a simple homogeneity test was applied to a precipitation data set from southwestern Sweden and the significant breaks varied from 5 to 25 per cent for this data set and probably reflect a serious source of uncertainty in studies of climate trends and climatic change all over the world.
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Abstract: In climate research it is important to have access to reliable data which are free from artificial trends or changes. One way of checking the reliability of a climate series is to compare it with surrounding stations. This is the idea behind all tests of the relative homogeneity. Here we will present a simple homogeneity test and apply it to a precipitation data set from south-western Sweden. More precisely we will apply it to ratios between station values and some reference values. The reference value is a form of a mean value from surrounding stations. It is found valuable to include short and incomplete series in the reference value. The test can be used as an instrument for quality control as far as the mean level of, for instance, precipitation is concerned. In practice it should be used along with the available station history. Several non-homogeneities are present in these series and probably reflect a serious source of uncertainty in studies of climatic trends and climatic change all over the world. The significant breaks varied from 5 to 25 per cent for this data set. An example illustrates the importance of using relevant climatic normals that refer to the present measurement conditions in constructing maps of anomalies.
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References
A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
Alan S. Willsky,Harold L. Jones +1 more
TL;DR: In this article, the authors consider a class of stochastic linear systems that are subject to jumps of unknown magnitudes in the state variables occurring at unknown times and devise an adaptive filtering system for the detection and estimation of the jumps.
983
Testing a Sequence of Observations for a Shift in Location
TL;DR: In this paper, a possible alternative to the hypothesis that the sequence X 1, X 2, X 3, X 4, X 5, X 6, X 7, X 8, X 9, X 10, X 11, X 12, X 13, X 14, X 15, X 16, X 17, X 18, X 19, X 20, X 21, X 22, X 23, X 24, X 25, X 26, X 27, X 28, X 29, X 30, X
359
Tests for detecting a shift in the mean of hydrological time series
TL;DR: In this paper, a method for testing for serial correlation in least-squares regression on a second correlated sequence is proposed. But the problem is that the critical values of the test statistic in general depend on the configuration of the xi's.
240