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Name Modified Size InfoDownloads / Week
README 2016-04-16 1.1 kB
lowpass.py 2016-04-14 1.1 kB
lowpass.pyc 2016-04-14 1.1 kB
mainwin.pyc 2016-04-14 2.9 kB
memscr.py 2016-04-14 1.8 kB
memscr.pyc 2016-04-14 2.4 kB
moon.py 2016-04-14 2.6 kB
moon.pyc 2016-04-14 1.9 kB
pgutil.py 2016-04-14 9.4 kB
pgutil.pyc 2016-04-14 8.1 kB
template.py 2016-04-14 1.6 kB
tempwin.py 2016-04-14 16.4 kB
tempwin.pyc 2016-04-14 12.4 kB
USC00088824.dly 2016-04-14 2.0 MB
wtemp.py 2016-04-14 11.0 kB
aa 2016-04-14 936.5 kB
daydiff.py 2016-04-14 1.4 kB
Totals: 17 Items   3.0 MB 0
Welcome to wtemp

  For the impatient, just it start as:
  
       wtemp USC0008824.dly
	   
	See screen shot on what to expect.
	
	Requirements:
	
	   Python and dependencies, PyGTK and dependencies.
	   
    The script was running on Linux and Windows without errors.
	
	
	Colors:
	
	  Blue: Min temp
	  Red: Max temp
	  Green Daily mean, low-passed
	  Yellow: Mean, low-passed
	  
	The low-pass filter is special, as it is a skew free low pass. (will not shift peaks)
	The low pass filter was created in a voice recognition project I developed earlier.
	
	Press the 'Median' button for calculating median.  (Alt-M)
	
	Items of interest: 
	
		o Global temp was up from 1942 to 1946  (War pollution?)
		o Global temp rose in 1992 - 1996 -- where we though global warming was going on, however
			in 1999 it all went back to normal.
		o The overall raise in temp is insignificant between 1895 to 2016. (see graph)
	
	Major score:
	
	 The data is derived from a weather station data in North of Tampa. No politician or special interest
	had edited it. You may download any related data file from NOAA.
	
	
		
						
						
	
	  
	  
Source: README, updated 2016-04-16