Keraunic activity over Mainz/Frankfurt

[Elektrofeldmeter]

Hi, 

I was looking for some hotspots in order to take pictures of lightnings (taking all possible security measure of course) and I could not find any good way of accessing to this information. 
I wrote a script in order to extract the CSV data and to stich them temporally and I reprocessed the data afterward into Mathematica. Doing so I managed to generate the attached pictures.

   
   

For those interested in local density plot. 
Below the script written in Python using the Selenium library. This script needs to be edited in order to perform your task, you need to define:

• The location of your chromedriver
  
• The download path
  
• Your login on Blitzortung
  
• Your password on Blitzortung
  
• The start date for the data collection
  
• The min/max latitude and longitude of the area of interest
  

Code:

#!/usr/bin/python3 import time import datetime from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions from selenium.webdriver.common.by import By path_download     = "" path_chromedriver = "" #were chromedriver is stored download at https://chromedr iver.chromium.org/downloads login       = ""       #your login pwd         = ""       #your path start_year  = 2015     #when to start start_month = 6        #idem start=day   = 1        #idem lon_min     = 49.2     #longitude min lon_max     = 50.2     #longitude max lat_min     = 7.8      #latitude min lat_max     = 8.9      #latitude max options = webdriver.ChromeOptions() ; prefs = {"download.default_directory" : path_download} options.add_experimental_option("prefs",prefs); driver = webdriver.Chrome(executable_path = path_chromedriver, chrome_options=op tions) wait = WebDriverWait(driver, 30); driver.get("https://www.blitzortung.org/en/login.php") time.sleep(1.) driver.find_element_by_xpath("/html/body/div[2]/div/p[3]/span/span[5]").click() driver.find_element_by_name("login_username").send_keys("EMP_22") time.sleep(0.2) driver.find_element_by_name("login_password").send_keys("EFM_27") time.sleep(2.) driver.find_element_by_class_name("center").click() driver.find_element_by_xpath("//input[@type='submit']").click() date_start = datetime.datetime(start_year,  start_month,  start_day, 0, 0, 0) for i in range(2000):     date_end   = date_start+datetime.timedelta(days=2)     if date_end > datetime.datetime.now():         exit()         epoch_start = int(date_start.timestamp())     epoch_end   = int(date_end.timestamp())     http_address  = "https://www.blitzortung.org/en/archive_data.php?stations_us ers=0&selected_numbers=*"     http_address += "&end_date=" + str(epoch_end)     http_address += "&end_time=" + str(0)     http_address += "&start_date=" + str(epoch_start)     http_address += "&start_time=" + str(0)     http_address += "&rawdata_image=0"     http_address += "&north=" + str(lon_max)     http_address += "&west="  + str(lat_min)     http_address += "&east="  + str(lat_max)     http_address += "&south=" + str(lon_min)     http_address += "&map=0&width_orig=640&width_result=640&agespan=60&frames=12 &delay=100&last_delay=1000&show_result=1"     driver.get(http_address)     driver.switch_to.frame(0)     #time.sleep(5.)     print(date_start)     print(date_end)     #filename_out = date_start.strftime("%Y%m%d")+"_"+date_end.strftime("%Y%m%d" )+".csv.gz"     elt = driver.find_element_by_xpath("//a[contains(@href,'raw')]")#.get_attrib ute('href'))     elt.click()     driver.switch_to.default_content();     time.sleep(0.5)     date_start = date_end driver.close driver.quit()

Best regards

Antoine

[dupreezd]

That is pretty cool. Good job.