Homogenization of daily peak wind gust series from Spain and Portugal José A. Guijarro 1 , Cesar Azorin-Molina 2 1 State Meteorological Agency (AEMET), Palma de Mallorca, Spain 2 Instituto Pirenaico de Ecología (IPE-CSIC), Zaragoza, Spain EUMETNET Data Management Workshop St. Gallen, Switzerland, 28-30 October 2015
Outline Introduction Homogenization strategies Impact on extreme wind indexes Conclusions
Introduction ◮ Homogenization of daily series is difficult, due to their lower noise/signal ratio. ◮ Yet the study of the variability of extreme weather events requires homogeneous and quality controlled daily series. ◮ Here we apply different strategies to homogenize daily maximum gust speeds from Portugal and Spain, and analyze their impact on the evaluation of the trends of mean and maximum gusts, the number of days over the 90 percentile and maximum expected gusts for return periods of 50, 100 and 200 years. ◮ Question: Do we really need to homogenize the daily series?
Introduction ◮ Homogenization of daily series is difficult, due to their lower noise/signal ratio. ◮ Yet the study of the variability of extreme weather events requires homogeneous and quality controlled daily series. ◮ Here we apply different strategies to homogenize daily maximum gust speeds from Portugal and Spain, and analyze their impact on the evaluation of the trends of mean and maximum gusts, the number of days over the 90 percentile and maximum expected gusts for return periods of 50, 100 and 200 years. ◮ Question: Do we really need to homogenize the daily series?
Introduction ◮ Homogenization of daily series is difficult, due to their lower noise/signal ratio. ◮ Yet the study of the variability of extreme weather events requires homogeneous and quality controlled daily series. ◮ Here we apply different strategies to homogenize daily maximum gust speeds from Portugal and Spain, and analyze their impact on the evaluation of the trends of mean and maximum gusts, the number of days over the 90 percentile and maximum expected gusts for return periods of 50, 100 and 200 years. ◮ Question: Do we really need to homogenize the daily series?
Introduction ◮ Homogenization of daily series is difficult, due to their lower noise/signal ratio. ◮ Yet the study of the variability of extreme weather events requires homogeneous and quality controlled daily series. ◮ Here we apply different strategies to homogenize daily maximum gust speeds from Portugal and Spain, and analyze their impact on the evaluation of the trends of mean and maximum gusts, the number of days over the 90 percentile and maximum expected gusts for return periods of 50, 100 and 200 years. ◮ Question: Do we really need to homogenize the daily series?
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Methodology ◮ The data set consisted of 80 series (7 Portuguese and 73 Spanish) of daily maximum peak wind gusts spanning 54 years (1961-2014). ◮ Corresponding daily series from MM5 simulations at 10 km resolution were available until 2007 (Murcia University). ◮ Homogenization was performed with Climatol 2.2 (multiplicative model) on: ◮ Average monthly values, using MM5 series as references when available, and adjusting the daily series with interpolated monthly correction factors. ◮ Direct homogenization of daily values, using MM5 series as references when available. ◮ Direct homogenization of daily values, without MM5 references. ◮ Annual values of maximum and average wind peak gusts and number of days over the 90 percentile.
Station locations VX station locations (5 clusters) 44 11 10 9 13 6 14 12 7 8 18 15 61 63 27 62 16 21 19 66 17 68 42 5 80 20 25 65 22 67 26 4 3 1 2 29 28 24 64 30 69 23 32 31 78 34 33 57 Latitude (deg) 35 40 56 60 36 72 70 71 37 58 59 74 79 38 39 73 75 55 54 38 77 52 53 41 51 43 40 42 44 76 50 4849 45 36 47 46 −8 −6 −4 −2 0 2 4 Longitude (deg)
Data availability
Data availability Nr. of VX−d data in all stations 80 60 Nr. of data 40 20 0 1960 1970 1980 1990 2000 2010 Dates
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