H-SAF Product Validation Report (PVR) PR-OBS-3

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Products Validation Report, 30 May 2010 - PVR-03 (Product PR-OBS-3) Page 4 List of Tables Table 01 - List of H-SAF products 08 Table 02 - Validation Team for precipitation products 11 Table 03 - List of ground data used for precipitation products validation in Belgium 18 Table 04 - Precipitation data available at BfG 22 Table 05 - Location of the 16 meteorological radar of the DWD 22 Table 06 - Characteristics of the three meteorological Doppler radars in Hungary 24 Table 07 - Accuracy requirements for product PR-OBS-3 [RMSE (%)] 39 Table 08 - Summary results of PR-OBS-3 validation in Belgium by IMR 40 Table 09 - Summary results of PR-OBS-3 validation in Germany by BfG 42 Table 10 - Summary results of PR-OBS-3 validation in Hungary by OMSZ 45 Table 11 - Summary results of PR-OBS-3 validation in Italy by UniFe 48 Table 12 - Summary results of PR-OBS-3 validation in Poland by IMWM 50 Table 13 - Summary results of PR-OBS-3 validation in Slovakia by SHMÚ 51 Table 14 - Summary results of PR-OBS-3 validation in Turkey by ITU and TSMS over inner 55 land Table 15 - Summary results of PR-OBS-3 validation in Turkey by ITU and TSMS over coastal 55 zones Table 16 - Comparative results of validation in several Countries/Teams split by season 58 Table 17 - Simplified compliance analysis for product PR-OBS-3 59 Table 18 - Synthesis of all validation results, including yearly average 60 List of Figures Fig. 01 - Conceptual scheme of the EUMETSAT application ground segment 08 Fig. 02 - Current composition of the EUMETSAT SAF network (in order of establishment) 08 Fig. 03 - The H-SAF required coverage in the Meteosat projection 09 Fig. 04 - Flow chart of the LEO/MW-GEO/IR-blending precipitation rate processing chain 09 Fig. 05 - Structure of the Precipitation products validation team 11 Fig. 06 - The network of 4100 rain gauges used for H-SAF precipitation products validation 12 Fig. 07 - The network of 40 C-band radar used for H-SAF precipitation products validation 13 Fig. 08 - Classes and sub-classes for evaluating Precipitation Rate products. Applicable to PR- 15 OBS-1, PR-OBS-2, PR-OBS-3, PR-OBS-4 and PR-ASS-1 rate Fig. 09 - Classes and sub-classes for evaluating Accumulated Precipitation products. Applicable 16 to PR-OBS-5 and PR-ASS-1 accumulated Fig. 10 - Meteorological radar in Belgium 18 Fig. 11 - RMI raingauges: daily ( ) and AWS ( ) 19 Fig. 12 - SETHY AWS network in Walloon Region 19 Fig. 13 - Left: Gaussian filter; right: sketch of the up-scaling procedure. The circle corresponds to 20 the range of the weather radar. The square in the middle is a common area such that it is entirely included in the selected PR-OBS-2 files. The grey rectangle, the tilted dark grey rectangle and the black ellipse are explained in the text Fig. 14 - Left panel: radar coverage in Germany as of 01/03/2007. Right panel: location of 23 ombrometers for online calibration in RADOLAN; squares: hourly data provision (about 500), circles: event-based hourly data provision (about 800 stations): red: AMDA III, blue: aggregational network federal states (Bartels et al., 2004) Fig. 15 - Flowchart of online calibration RADOLAN (adapted from Bartels et al. 2004) 23 Fig. 16 - The automatic rain gauge network in Hungary 24 Fig. 17 - Location and coverage of the three meteorological Doppler radars in Hungary 24 Fig. 18 - Map of SHMÚ raingauge stations: green – operational (98) , blue – climatological 31 (586), red - hydrological stations in H-SAF selected test basins (37). White points show
Products Validation Report, 30 May 2010 - PVR-03 (Product PR-OBS-3) Page 5 regular grid of experimental NOAA Snow water equivalent data Fig. 19 - Example of Slovak radar network coverage - left circle corresponds to radar site Malý 31 Javorník, right one corresponds to Kojšovská hoľa Fig. 20 - Example of 5-days cumulative precipitation constructed from raingauge measurements 32 by means of 3D extrapolation method Fig. 21 - Map of SHMÚ hydrological stations: red - hydrological stations in H-SAF selected test 33 basins (34) Fig. 22 - General hydrological model of HBV type 33 Fig. 23 - Example of pick up pixels from radar measurement for selected area 34 Fig. 24 - Example of separated ALADIN forecast pixel to smaller pixels 34 Fig. 25 - The Susurluk and Western Black Sea catchments selected for the precipitation product 35 validation in Turkey Fig. 26 - Network of Meteorological stations in Susurluk (on the left) and Western Black Sea (on 36 the right) catchments Fig. 27 - Position of 193 AWOS sites used for ground truth for the precipitation product 36 validation in western Turkey Fig. 28 - H02 product footprint centres with a sample footprint area as well as the AWOS ground 37 observation sites Fig. 29 - Meshed structure of the sample H02 product footprint 38 Fig. 30 - Mean Error of PR-OBS-3 (monthly values over Belgium in mm h -1 ) 41 Fig. 31 - Root Mean Square Error of PR-OBS-3 (monthly values over Belgium in mm h -1 ) 41 Fig. 32 - Time evolution of Mean Error and Standard Deviation for PR-OBS-3 42 Fig. 33 - Same as Fig. 32 with stretched vertical scale 43 Fig. 34 - Time evolution of Probability Of Detection, False Alarm Rate and Critical Success 43 Index for PR-OBS-3 Fig. 35 - Time evolution of Mean Error, Standard Deviation and Root Mean Square Error for 45 light and medium rain Fig. 36 - Time evolution of Mean Error, Standard Deviation and Root Mean Square Error for 46 heavy rain Fig. 37 - Time evolution of the Correlation Coefficient for the three categories of precipitation 46 Fig. 38 - Time evolution of Probability Of Detection, False Alarm Rate and Critical Success 47 Index Fig. 39 - Probability Density Function for the months of January (left) and July (right) 2009 48 Fig. 40 - Evolution of continuous statistical scores cross year 2009 49 Fig. 41 - Mean error (ME) of PR-OBS-3 v.1.4 for the period of Jan 2009 – Mar 2010 for Poland 51 Fig. 42 - RMSE % of PR-OBS-3 v.1.4 for the period of Jan 2009 – Mar 2010 for Poland 51 Fig. 43 - Variabily of Probability of Detection (POD) and False Alarm Ratio (FAR) obtained for 52 PR-OBS-3 v.1.4 using Polish RG data in the period of Jan 2009 – Mar 2010 Fig. 44 - Time evolution of the Mean Error for the three precipitation categories 53 Fig. 45 - Time evolution of the Mean Error for medium and light precipitation (stretched vertical 53 scale from Fig. 44) Fig. 46 - Time evolution of the Root Mean Square Error (%) for the three precipitation categories 54 Fig. 47 - Time evolution of the Correlation Coefficient for the three precipitation categories 54 Fig. 48 - Time evolution of Probability Of Detection, False Alarm Rate and Critical Success 54 Index Fig. 49 - Continuous and multi-categorical statistics for inner land 56 Fig. 50 - Continuous and multi-categorical statistics for coastal zones 56
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Precentage contribution Products Va
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Rain Rate (H-03-RG) [mm/h] Dec'07 J
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GEO/IR+LEO/MW Products Validation R
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percentage of pixels (log) Products
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