Interpolation techniques used for data quality control and calculation of technical series: an example of a Central European daily time series

0368064 - ÚFA 2012 RIV HU eng J - Journal Article
Štěpánek, P. - Zahradníček, P. - Huth, Radan
Interpolation techniques used for data quality control and calculation of technical series: an example of a Central European daily time series.
Idöjárás. Quarterly journal of the Hungarian meteorological society. Roč. 115, 1-2 (2011), s. 87-98. ISSN 0324-6329. E-ISSN 0324-6329
R&D Projects: GA ČR GA205/08/1619
Institutional research plan: CEZ:AV0Z30420517
Keywords : data quality control * filling missing values * interpolation techniques * climatological time series
Subject RIV: DG - Athmosphere Sciences, Meteorology
Impact factor: 0.364, year: 2011
http://www.met.hu/en/ismeret-tar/kiadvanyok/idojaras/index.php?id=34

For various studies, it is necessary to work with a sufficiently long series of daily data that is processed in the same way for the whole area. National meteorological services have their own tools for data quality control; data are usually available non-homogenized (with respect to artificial changes in the series due to relocations, change of observers, etc.). In the case of areas across borders of individual countries, researchers from both sides of a frontier can obtain quite different results depending upon the data they use. This was one of the reasons for processing stations from the area along borders of four countries in the Central European region within the international CECILIA project (Central and Eastern Europe Climate Change Impact and Vulnerability Assessment, project of EC No. 037005). For the processing of the series, quality control has been carried out, gaps have been filled and, in the end, a series at a new position (grid points of RCM output) were calculated.
Permanent Link: http://hdl.handle.net/11104/0202529