Original title:
Quality control and homogeneity testing of daily time series of eca ECA&D
Authors:
Zahradníček, Pavel ; Štěpánek, Petr ; Farda, Aleš ; Skalák, Petr Document type: Papers Conference/Event: Global Change and Resilience, Brno (CZ), 2013-05-22 / 2013-05-24
Year:
2013
Language:
eng Abstract:
For any meaningful climate analysis, it is necessary for analysed time series to be homogeneous, which means that their variations are caused solely by variations in weather and climate (Conrad and Pollak 1950). Th us, prior to any analysis, the need to homogenize data and check their quality arises. Unfortunately, most of the climatological series that span over decades, to centuries, contain inhomogeneities caused by station relocations, exchange of observers, changes in the vicinity of the stations (e.g. urbanization), changes in instruments, observing practices (e.g. diff erent formulas for calculating daily means, diff erent observation times), etc. In this work we focused on testing the quality and homogeneity of daily data produced by ECA&D. Th is is a free available dataset of daily meteorological elements from the European Climate Assessment & Dataset (http://eca.knmi.nl/). Th is database was used to create a regular grid of EOBS points, which are oft en used to validate climate models.
Keywords:
daily data; ECA&D; homogenization; quality control; temperature Project no.: EE2.3.20.0248, EE2.4.31.0056 Funding provider: GA MŠk, GA MŠk Host item entry: Global Change and Resilience: From Impacts to Responses : Proceedings of the 3rd annual Global Change and Resilience Conference, ISBN 978-80-904351-8-6
Institution: Global Change Research Institute AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0229755