docs: def herp_derp_interp(place):
      """simple interpolation of GFS forecast"""
      lat, lon = place
      #begin=2014-02-14T00%3A00%3A00&end=2018-02-22T00%3A00%3A00
      fmt = '%Y-%m-%dT00:00:00'
      fmt = '%Y-%m-%dT%H:%M:00'
      begin = (datetime.datetime.now()-datetime.timedelta(hours=12)).strftime(fmt)
      #end=(datetime.datetime.now()+datetime.timedelta(hours=48)).strftime(fmt)
      url = "http://graphical.weather.gov/xml/SOAP_server/ndfdXMLclient.php?" + \
              "whichClient=NDFDgen&lat=%s&lon=%s&" % (lat, lon) + \
              "Unit=e&temp=temp&wspd=wspd&sky=sky&wx=wx&rh=rh&" + \
              "product=time-series&begin=%s&end=2018-02-22T00:00:00" % begin + \
              "&Submit=Submit"""
      res = urllib2.urlopen(url).read()
      root = ET.fromstring(res)
  
      time_series = [_cast_float(i.text) for i in \
              root.findall('./data/time-layout')[0].iterfind('start-valid-time')]
      #knots to mph
      wind_speed = [eval(i.text)*1.15 for i in \
              root.findall('./data/parameters/wind-speed')[0].iterfind('value')]
      cloud_cover = [eval(i.text)/100.0 for i in \
              root.findall('./data/parameters/cloud-amount')[0].iterfind('value')]
      temperature = [eval(i.text) for i in \
              root.findall('./data/parameters/temperature')[0].iterfind('value')]
  
      ws_interp = interp1d(time_series, wind_speed, kind='cubic')
      cc_interp = interp1d(time_series, cloud_cover, kind='cubic')
      t_interp = interp1d(time_series, temperature, kind='cubic')
      start_date = datetime.datetime.utcfromtimestamp(time_series[0])
  
      series = []
      for i in range(48):
          try:
              temp_dict = {}
              forecast_dt = start_date + datetime.timedelta(hours=i)
              temp_dict['utc_datetime'] = forecast_dt
              temp_dict['windSpeed'] = ws_interp(_cast_float(forecast_dt)).item()
              temp_dict['temperature'] = t_interp(_cast_float(forecast_dt)).item()
              temp_dict['cloudCover'] = cc_interp(_cast_float(forecast_dt)).item()
              series.append(temp_dict)
          except:
              pass
      return series