var owd_email = "info@openwinddata.com"

var site_data = {} 
site_data.number = "00399";
site_data.site = "Berlin-Alexanderplatz";
site_data.land = "Berlin";
site_data.map_site = "<object type=\"text/html\" class=\"site_map\" data=\"../../miniMaps/dashboard_map_00399.html\")></object>";
site_data.rank = "<script>document.write(data_check.s00399[1]);<\/script>";
site_data.years = "11.6";
site_data.years10min = "11.6";
site_data.last = "2011-07-31";
site_data.LAST_UPDATE = "2011-07-31";
site_data.c_p = "13.75";
site_data.v_ave = "7.5";
site_data.data_quality_0 = "66.52";
site_data.prevailing_wind_dir = "N";
site_data.lat = "52.5205";
site_data.lon = "13.4105";
site_data.gmap_link = "http://www.google.com/maps/place/52.5205,13.4105";

var meas_height = {} 
meas_height.year_start = ["04/1975", "09/1997", "09/2008", "06/2009"]
meas_height.year_end = ["03/1994", "09/2008", "03/2009", "07/2011"]
meas_height.h_m = [365.0, 368.0, 368.0, 368.0]

var hi_res_production = {} 
hi_res_production.turbine = ["S", "M", "L"]
hi_res_production.c_p = [12.78, 13.2, 13.75]
hi_res_production.AEP = ["11,199", "1,734,880", "4,166,905"]
hi_res_production.P_R = [10, 1500, 3460]

var hi_res_v_ave = {} 
hi_res_v_ave.type = "hi_res_"
hi_res_v_ave.turbine = ["S", "M", "L"]
hi_res_v_ave.h_h = [30, 80, 100]
hi_res_v_ave.year = [1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011]
hi_res_v_ave.h_m = [8.04, 9.18, 8.68, 9.39, 6.56, 7.65, 9.78, 9.8, 4.12, 0.0, 8.95, 7.55, 4.92, NaN, 8.61, 8.0, 8.38, 9.87, 9.17, 8.76, 9.18]
hi_res_v_ave.S = [5.78, 6.59, 6.24, 6.75, 4.71, 5.49, 7.03, 7.04, 2.96, 0.0, 6.43, 5.43, 3.54, NaN, 6.18, 5.74, 6.02, 7.09, 6.59, 6.29, 6.59]
hi_res_v_ave.M = [6.66, 7.61, 7.2, 7.78, 5.43, 6.33, 8.1, 8.12, 3.41, 0.0, 7.42, 6.26, 4.08, NaN, 7.13, 6.63, 6.95, 8.18, 7.6, 7.26, 7.61]
hi_res_v_ave.L = [6.87, 7.84, 7.41, 8.01, 5.6, 6.53, 8.35, 8.37, 3.51, 0.0, 7.64, 6.45, 4.2, NaN, 7.35, 6.83, 7.16, 8.42, 7.83, 7.48, 7.84]

var wind_rose_data_m0 = {} 
wind_rose_data_m0.month = 0 
wind_rose_data_m0.max_p = 26.0
wind_rose_data_m0.data = [25.05, 2.15, 2.51, 3.12, 6.38, 4.53, 4.12, 3.03, 4.5, 3.96, 5.22, 7.59, 13.2, 7.54, 4.26, 2.84]
var wind_rose_data_m1 = {} 
wind_rose_data_m1.month = 1 
wind_rose_data_m1.max_p = 37.0
wind_rose_data_m1.data = [17.87, 1.61, 2.09, 2.9, 7.72, 5.51, 4.03, 2.94, 4.67, 4.68, 7.03, 11.94, 16.29, 6.24, 2.79, 1.68]
var wind_rose_data_m2 = {} 
wind_rose_data_m2.month = 2 
wind_rose_data_m2.max_p = 37.0
wind_rose_data_m2.data = [24.22, 2.14, 1.53, 2.06, 5.46, 4.87, 3.95, 2.72, 3.65, 3.42, 4.68, 9.07, 17.84, 7.2, 4.04, 3.15]
var wind_rose_data_m3 = {} 
wind_rose_data_m3.month = 3 
wind_rose_data_m3.max_p = 37.0
wind_rose_data_m3.data = [23.7, 2.35, 1.99, 3.22, 7.0, 3.23, 3.62, 3.2, 3.94, 2.33, 3.79, 6.79, 15.11, 11.16, 5.36, 3.21]
var wind_rose_data_m4 = {} 
wind_rose_data_m4.month = 4 
wind_rose_data_m4.max_p = 37.0
wind_rose_data_m4.data = [19.04, 4.04, 5.03, 3.6, 8.47, 5.51, 5.6, 2.59, 4.39, 3.24, 2.77, 4.93, 12.28, 8.7, 5.99, 3.83]
var wind_rose_data_m5 = {} 
wind_rose_data_m5.month = 5 
wind_rose_data_m5.max_p = 37.0
wind_rose_data_m5.data = [24.59, 2.7, 3.39, 4.79, 7.76, 4.53, 3.89, 3.64, 5.02, 3.28, 3.72, 5.36, 11.2, 8.0, 4.59, 3.55]
var wind_rose_data_m6 = {} 
wind_rose_data_m6.month = 6 
wind_rose_data_m6.max_p = 37.0
wind_rose_data_m6.data = [36.75, 2.57, 3.28, 3.46, 4.2, 3.07, 2.79, 2.39, 3.19, 1.78, 2.36, 4.33, 10.85, 9.85, 5.56, 3.58]
var wind_rose_data_m7 = {} 
wind_rose_data_m7.month = 7 
wind_rose_data_m7.max_p = 37.0
wind_rose_data_m7.data = [26.64, 2.01, 2.68, 2.76, 4.54, 3.33, 3.83, 3.15, 4.6, 3.82, 4.28, 6.41, 13.7, 10.36, 4.75, 3.13]
var wind_rose_data_m8 = {} 
wind_rose_data_m8.month = 8 
wind_rose_data_m8.max_p = 37.0
wind_rose_data_m8.data = [31.51, 2.06, 2.04, 2.39, 6.04, 4.81, 5.91, 3.15, 4.35, 3.34, 3.79, 5.56, 10.25, 6.28, 4.96, 3.55]
var wind_rose_data_m9 = {} 
wind_rose_data_m9.month = 9 
wind_rose_data_m9.max_p = 37.0
wind_rose_data_m9.data = [31.1, 3.16, 3.63, 4.16, 7.59, 4.42, 2.55, 2.27, 3.16, 2.85, 4.51, 7.29, 11.83, 5.4, 3.54, 2.55]
var wind_rose_data_m10 = {} 
wind_rose_data_m10.month = 10 
wind_rose_data_m10.max_p = 37.0
wind_rose_data_m10.data = [23.07, 1.41, 0.85, 1.71, 5.14, 3.42, 4.12, 3.17, 5.58, 5.78, 8.51, 9.92, 14.53, 6.52, 3.57, 2.68]
var wind_rose_data_m11 = {} 
wind_rose_data_m11.month = 11 
wind_rose_data_m11.max_p = 37.0
wind_rose_data_m11.data = [19.13, 1.0, 2.17, 2.86, 5.72, 5.69, 4.58, 3.46, 6.63, 7.21, 8.73, 9.44, 12.84, 5.57, 3.26, 1.71]
var wind_rose_data_m12 = {} 
wind_rose_data_m12.month = 12 
wind_rose_data_m12.max_p = 37.0
wind_rose_data_m12.data = [24.19, 1.75, 2.39, 3.99, 7.85, 6.07, 4.88, 3.48, 4.26, 4.58, 6.36, 7.95, 10.74, 5.78, 3.55, 2.18]

var hi_res_pdf_data = {} 
hi_res_pdf_data = {} 
hi_res_pdf_data.data = [2.55, 4.89, 6.86, 8.35, 9.28, 9.67, 9.54, 9.0, 8.14, 7.1, 5.97, 4.86, 3.83, 2.92, 2.17, 1.56, 1.09, 0.74, 0.49, 0.31, 0.2, 0.12, 0.07, 0.04]
hi_res_pdf_data.V_range = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
hi_res_pdf_data.pdf_mask = true
hi_res_pdf_data.font_1 = 18

var hi_res_data_quality = {} 
hi_res_data_quality.type = "hi_res_"
hi_res_data_quality.years = [1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010]
hi_res_data_quality.quality = [99.73, 96.23, 53.84, 62.62, 62.21, 0.0, 56.95, 24.15, 5.61, 30.02, 72.23, 100.0]
hi_res_data_quality.ymin = 0.0


var hi_res_monthly_v_ave = {} 
hi_res_monthly_v_ave.m_v_ave = [9.22, 8.85, 7.72, 7.8, 6.42, 5.2, 6.11, 5.67, 6.42, 8.35, 8.98, 8.23] 
hi_res_monthly_v_ave.m_v_std_plus = [12.38, 11.97, 10.54, 10.3, 8.8, 7.6, 8.54, 8.0, 9.01, 11.31, 12.01, 11.4] 
hi_res_monthly_v_ave.m_v_std_minus = [6.06, 5.73, 4.9, 5.31, 4.05, 2.8, 3.69, 3.34, 3.84, 5.39, 5.95, 5.06] 
hi_res_monthly_v_ave.m_v_max = 14.85 

var hi_res_hour_v_ave = {} 
hi_res_hour_v_ave.hour_v_ave = [8.28, 8.21, 8.12, 8.02, 7.93, 7.86, 7.74, 7.53, 7.25, 6.91, 6.69, 6.52, 6.44, 6.43, 6.55, 6.69, 6.97, 7.28, 7.57, 7.88, 8.14, 8.29, 8.32, 8.32] 
hi_res_hour_v_ave.std_v_minus = [5.25, 5.2, 5.14, 5.06, 4.97, 4.91, 4.8, 4.62, 4.39, 4.16, 4.03, 3.93, 3.89, 3.9, 4.0, 4.09, 4.29, 4.5, 4.71, 4.95, 5.16, 5.28, 5.3, 5.29] 
hi_res_hour_v_ave.std_v_plus = [11.31, 11.22, 11.09, 10.98, 10.9, 10.8, 10.69, 10.45, 10.11, 9.65, 9.35, 9.1, 8.98, 8.96, 9.1, 9.28, 9.65, 10.06, 10.43, 10.82, 11.11, 11.31, 11.34, 11.35] 
hi_res_hour_v_ave.hour_v_max = 8.32 
var last_check = "2023-12-31"