Discontinuities in Reanalysis Data

Dear Colleagues,

We need dense, high quality data for proper trend analyses in atmospheric science. The density of data is a crucial parameter in computing trends. The number of direct measurements of the atmospheric parameters is not sufficient, especially in the southern hemisphere, and thus we use reanalyses in the atmospheric science, which produce regular dense data that can be used in the trend analyses. The dark side of using the reanalyses in atmospheric research is the occurrence of the artificial discontinuities, which is caused by using new data or new satellites in reanalyses. The aim of this issue is the search for occurrences of artificial discontinuities in reanalyses used in atmospheric science, namely their distribution, time development, etc. Papers that concern this topic are welcome in this Special Issue.

Dr. Peter Krizan
Guest Editor

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