Deliverable D1.12
Deliverable D1.12 Final report on quality control and data homogenization measures applied per country, including QC protocols and measures to determine the achieved increase in data quality Contract number: OJEU 2010/S 110-166082 Deliverable: D1.12 Author: Tamás Szentimrey et al. Date: 5-06-2012 Version: final CARPATCLIM Date Version Page Report 02/10/2012 final 2 List of authors per country Hungarian Meteorological Service: Tamás Szentimrey, Mónika Lakatos, Zita Bihari, Tamás Kovács Szent Istvan University (Hungary): Sándor Szalai Central Institute of Meteorology and Geodynamics (Austria): Ingeborg Auer, Johann Hiebl Meteorological and Hydrological Service of Croatia: Janja Milković Czech Hydrometeorological Institute: Petr Štěpánek, Pavel Zahradníček, Radim Tolasz Institute of Meteorology and Water Management (Poland): Piotr Kilar, Robert Pyrc, Danuta Limanowka Ministry for Environment National Research and Development Institute for Environmental Protection (Romania): Sorin Cheval, Monica Matei Slovak Hydrometeorological Service: Peter Kajaba, Gabriela Ivanakova, Oliver Bochnicek, Pavol Nejedlik, Pavel Štastný Republic Hydrometeorological Service of Serbia: Dragan Mihic, Predrag Petrovic, Tatjana Savic Ukrainian Hydrometeorological Institute: Oleg Skrynyk, Yurii Nabyvanets, Natalia Gnatiuk CARPATCLIM Date Version Page Report 02/10/2012 final 3 INTRODUCTION The homogenization, the data quality control and the data completion were implemented by common software on national level. According to the service contract and the accepted deliverables D1.7, D1.8, D1.11 the common method was MASH (Multiple Analysis of Series for Homogenization; Szentimrey, 1999, 2008, 2011). Between the neighbouring countries there was an exchange of the near border station data series in order to cross-border harmonization. 1. THE SOFTWARE MASHV3.03 The MASH software, which was developed for homogenization of monthly and daily data series, includes also quality control and missing data completion units for the daily as well as the monthly data.
[Show full text]