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Deliverable D2.5 Deliverable D2.5 Report with final results of the data harmonization procedures applied, including all protocols, per country Contract number: OJEU 2010/S 110-166082 Deliverable: D2.5 Author: Tamás Szentimrey et al. Date: 07-06-2012 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, Ákos Németh 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: Pavel Zahradníček, Petr Štěpánek, 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 According to the accepted deliverables D2.3, D2.4 the data harmonization is implemented in more steps during the procedures of homogenization and gridding. The main steps are as follows: - Near border data exchange before homogenization - Homogenization (MASH) - Data exchange after homogenization - Controlling of the cross-border harmonization (MASH) - Gridding, interpolation (MISH) with exchanged data The harmonization across country borders is based on the near border data exchange that is grounded on the bilateral agreements between the participants. This data exchange must precede the application of MISH-MASH software procedures. The description of procedures MASH (Multiple Analysis of Series for Homogenization; Szentimrey, 1999, 2011) and MISH (Meteorological Interpolation based on Surface Homogenized Data Basis; Szentimrey and Bihari, 2007a, b) can be found in the service contract and the accepted deliverables D1.7, D1.8, D1.11, D2.3. The details of implementation are presented in the following working plan at sections 1, 2. 1. WORKING PLAN IN MODULE 1.3 FOR HOMOGENIZATION The main steps for creation of station data series of meteorological elements listed in Table 1. (Annex I – Technical Specifications, Contract Notice 2010/S 110-166082 dated 9 June 2010) The homogenization, the data quality control and the data completion were made on national level, implemented by the common software MASH. Between the neighbouring countries the near border station data series were exchanged in order to cross-border harmonization. I. Compilation of the raw station data series. 1. Selection of the stations (with the spherical coordinates: φ, λ), determination of the time period (1961-2010). 2. Collecting the daily station data series (missing data are allowed) and the metadata per countries. Exchange of the near border station data series and the metadata between the neighbouring countries. II. Homogenization, quality control, data completion for the station data series by MASH on national level, with using the near border data. CARPATCLIM Date Version Page Report 02/10/2012 final 4 1. Derivation of monthly station data series from the daily station data series collected in I.2. Homogenization, quality control, data completion of the monthly station data series. Metadata (probable dates of break points) can be used automatically. 2. Daily station data series (I.2): homogenization, quality control, data completion. This procedure is based on the results of II.1. 3. Exchange of the near border homogenized data for cross-border harmonization and for gridding (Module 2: modelling, interpolation). 4. Evaluation of the results of the homogenization and quality control. Controlling of the cross-border harmonization of the data series. The cross-border harmonization will be continued after modelling procedure of gridding in Module 2. 2. WORKING PLAN IN MODULE 2 FOR GRIDDING The main steps for gridding of data series of meteorological elements listed in Table 1. (Annex I – Technical Specifications, Contract Notice 2010/S 110-166082 dated 9 June 2010) The homogenized, controlled, completed and harmonized station data series will constitute the predictor system. The gridding (spatial interpolation) will be made on national level, implemented by common software MISH. Between the neighbouring countries the near border station data series will be exchanged in order to cross-border harmonization of spatial interpolation. I. Spatial modelling of climate statistical parameters (local and stochastic parameters) by MISH on national level, but using the near border data. 1. Determination of some supplementary deterministic model variables, altitude and e.g. other topographic variables (e.g. AURELHY principal components) for the station locations as well as for a half minutes (0.5’x0.5’) grid that covers the given area. 2. Modelling of the statistical parameters for the above half minutes grid by use of the derived monthly station data series and the model variables. Result: For each month, 4 tables of parameters for the half minutes grid, altogether 12x4 tables of parameters per countries. 3. Cross-border harmonization of the above parameter tables between the neighbouring countries. II. Interpolation of daily data series for a grid (gridding) by MISH on national level, but using the near border data. 1. Determination of a wanted relatively dense grid, e.g. o x1.0 0.1 o (≈ 10 x10 km ) resolution. 2. Interpolation for the grid (II.1.) by use of the homogenized, controlled, complemented daily station data series and the 12x4 tables of parameters (I.3). Result: Interpolated daily data series of good quality at the nodes of the grid. CARPATCLIM Date Version Page Report 02/10/2012 final 5 3. CROSS-BORDER HARMONIZATION STEPS AT HOMOGENIZATION (MODULE 1.3) 3.1 Homogenization of station data series by MASH on national level, with using the near border data of the neighbouring countries (II. 1-2 in section 1) During the relative homogenization procedure the candidate series are compared with those series as references which are within their neighbourhood defined by the distance. In essence this property can ensure also the harmonization of the homogenized series across the border if we use the near border data from both sides. The applied principle is like the transitivity. Nevertheless it is necessary to control the resulted homogenized system. The controlling examination can be based on certain result files of MASH procedure which are generated automatically. 3.2 The result files of the MASH procedure (D1.12) Two types of the results can be differentiated. A, The first type is, output files of the homogenized, controlled and completed series, inhomogeneity series, detected breaks, detected errors. These output files are possessed by the implementing countries. B, The second type is, output files of test results, verification tables in order to evaluate the homogenization procedure. The verification tables include also test statistics to characterize the series in respect of their homogeneity. During the controlling procedure these test statistics calculated before and after homogenization are compared. 3.3 Controlling procedure for the cross-border harmonization of the data series (1.II.4) This controlling procedure needs the same data exchange with the homogenized data (1.II.3) as it was in process with the raw data (1.I.2) furthermore some statistical comparison of the homogenized data from both sides of the borders. Let us assume we have the homogenized, controlled, completed daily data series per countries, which result series by MASH are in file DailyhomQC.dat (p. 58 in manual of MASH) that is one file for one country. These files include the domestic and some near border or transborder series. For example in the Hungarian DailyhomQC.dat we have not only the Hungarian series but also near border Slovakian series homogenized together with them. During data exchange 1.II.3, in Hungary we will have also the version of Slovakian series that were homogenized by Slovakians. At the controlling of the cross-border harmonization 1.II.4 we replace these transborder series. In Hungary it means, that in the file Hungarian DailyhomQC.dat, the Slovakian series homogenized by Hungarians will be replaced by the appropriate series homogenized by Slovakians and it is the same for the other transborder (from Ukraine, Romania, Serbia, Croatia) series. After this replacing we control the resulted series system DailyhomQC.dat, which means to repeat some steps of MASH procedure in order to calculate CARPATCLIM Date Version Page Report 02/10/2012 final 6 the verification tables with the test statistics for the monthly, seasonal and annual series. These test statistics after homogenization (TSA) can be compared to the statistics calculated before homogenization (TSB). The test statistics TSA have to be near to the critical value or much less than the test statistics TSB if the cross-border harmonization is acceptable. 4. THE METEOROLOGICAL VARIABLES AND THE RESULT FILES 4.1 The meteorological variables and their homogenization According to Annex I – Technical Specifications, Contract Notice 2010/S 110-166082 dated 9 June 2010 – the minimum set of meteorological variables
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