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Re: mean or cumul on time axis



Hi Emilie & Ansley,
                     I just want to add few more points to the discussion.
Suppose we have 6 hrly data. If we want to calculate cumulative sum and 
average for a day and if we know which all initial time points(6hrly) 
should contribute to a particular destination time point(daily), then 
define the daily time axis according to that.

Here is an example :

6hrly time axis & data

  yes? define axis/t="01-SEP-1993:18":"04-SEP-1993:06":6/units=hours t6hr
  yes? let var = L[GT=t6hr]
  yes? list var
                  VARIABLE : L[GT=T6HR]
                  SUBSET   : 11 points (TIME)
      01-SEP-1993 18:00 /  1:   1.00
      02-SEP-1993 00:00 /  2:   2.00
      02-SEP-1993 06:00 /  3:   3.00
      02-SEP-1993 12:00 /  4:   4.00
      02-SEP-1993 18:00 /  5:   5.00
      03-SEP-1993 00:00 /  6:   6.00
      03-SEP-1993 06:00 /  7:   7.00
      03-SEP-1993 12:00 /  8:   8.00
      03-SEP-1993 18:00 /  9:   9.00
      04-SEP-1993 00:00 / 10:  10.00
      04-SEP-1993 06:00 / 11:  11.00
  yes?

Now which all values will contribute to a daily mean ?

                day 1                    day2
         <----------------->     <----------------->     <------
                  9                       9 
                  |                       |
   |-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
   18    0     6     12    18    0     6     12    18    0     6
  01/SEP                                                      04/SEP

Say, daily data for 02/SEP/1993 should be defined by data at
   02/SEP/1993:00hrs,06hrs,12hrs & 18 hrs then the mean time for
that day is 09hrs. Likewise for 03/SEP/1993 also. That is data at
01/SEP/1993:18hrs & data at 04/SEP/1993:00hrs,06hrs will be skipped
from the calculation. In this case define the "daily" time axis 
follows (please note that it is defined only for 09hrs on 02/SEp & 
03/SEP)

  yes? define axis/t="02-SEP-1993:09":"03-SEP-1993:09":24/units=hours tdly
  yes? let vardly = var[gt=tdly@ave]                    
  yes? let varcum = var[gt=tdly@sum]                    
  yes? list varcum, vardly
               TIME: 01-SEP-1993 21:00 to 03-SEP-1993 21:00
   Column  1: VARCUM is VAR[GT=TDLY@SUM]
   Column  2: VARDLY is VAR[GT=TDLY@AVE]
                     VARCUM VARDLY
  02-SEP-1993 09 / 1:  14.00  3.500
  03-SEP-1993 09 / 2:  30.00  7.500
  yes?

As we can see 

 daily cumul: data(9hrs) = [data(00hrs)+data(06hrs)+data(12hrs)+data(18hrs)]
 ------------
 02-SEP-1993 09  varcum  = [     2     +    3      +    4      +     5     ] = 14
 03-SEP-1993 09  varcum  = [     6     +    7      +    8      +     9     ] = 30

 daily mean : data(9hrs) = [data(00hrs)+data(06hrs)+data(12hrs)+data(18hrs)]/4
 ------------
 02-SEP-1993 09  vardly  = 14/4 = 3.5 
 03-SEP-1993 09  cardly  = 30/4 = 7.5


Thus, the definition of daily time axis should be accurate if you want to 
get the exact mean/sum.

With Regards 

Jaison




On Fri, 30 Jul 2004, Emilie Vanvyve wrote:

> Hi Ansley,
> 
> Thanks for the documentation! I'll inform you if I encounter again  
> strange results with Ferret on Mac.
> 
> I read that link and I understand there may be different weights with  
> @ave, when grid boxes do not have the same area or when months are not  
> considered as equal (weight ­ 1/12 when taking into account their own  
> respective length).
> But in my case, as I consider just one grid box and as I try to compute  
> a mean or cumul on days from 6 hourly data (so I should not have  
> different weight as it may be the case for months), how can I do?
> 
> If I try to see "my" weights as in  
> http://www.ferret.noaa.gov/Ferret/FAQ/analysis/ 
> regridding_with_ave.html, it seems to be ok as I get a 0.5 weight for  
> 12-hourly average and a 0.25 weight for 24-hourly average (from  
> originally 6-hourly data). However, I don't really catch the way Ferret  
> puts up with "time-boundary data".
> I'm sorry to insist, but I still do not understand how exactly Ferret  
> computed the average in my previous example.
> Here follow two examples. The first one is about weights, the second  
> one is my previous example.
> 
> Emilie
> 
> 
> SEE WEIGHTS
> 
> work@El Nino ~/Library/Ferret/go/zut > ferret
>          NOAA/PMEL TMAP
>          FERRET v5.50
>          apple-darwin6.3 - 02/08/03
>          30-Jul-04 11:12
> 
> ! DEFINE THE VARIABLE 'VAR' (= 1 every 12 hours, 0 else)
> 
> yes? define axis/t="1-sep-1993 00:00":"3-SEP-1993 00:00":6/units=hours  
> t6h
> yes? let var = if L[gt=t6h] eq 1 or L[gt=t6h] eq 5 or L[gt=t6h] eq 9  
> then 1 else 0
> yes? list var
>               VARIABLE : IF L[GT=T6H] EQ 1 OR L[GT=T6H] EQ 5 OR  
> L[GT=T6H] EQ 9 THEN 1 ELSE 0
>               SUBSET   : 9 points (TIME)
>   01-SEP-1993 00:00 / 1:  1.000
>   01-SEP-1993 06:00 / 2:  0.000
>   01-SEP-1993 12:00 / 3:  0.000
>   01-SEP-1993 18:00 / 4:  0.000
>   02-SEP-1993 00:00 / 5:  1.000
>   02-SEP-1993 06:00 / 6:  0.000
>   02-SEP-1993 12:00 / 7:  0.000
>   02-SEP-1993 18:00 / 8:  0.000
>   03-SEP-1993 00:00 / 9:  1.000
> 
> ! DEFINE NEW TIME AXIS FOR REGRIDDING (12 and 24 hours)
> 
> yes? define axis/t="1-sep-1993 00:00":"3-SEP-1993 00:00":12/units=hours  
> t12h
> yes? define axis/t="1-sep-1993 00:00":"3-SEP-1993 00:00":24/units=hours  
> t24h
> 
> ! 12 HOURLY-AVERAGE
> 
> yes? list var[gt=t12h@ave]
>               VARIABLE : IF L[GT=T6H] EQ 1 OR L[GT=T6H] EQ 5 OR  
> L[GT=T6H] EQ 9 THEN 1 ELSE 0
>                          regrid: 12 hour on T@AVE
>               SUBSET   : 5 points (TIME)
>   01-SEP-1993 00:00 / 1:  0.6667
>   01-SEP-1993 12:00 / 2:  0.0000
>   02-SEP-1993 00:00 / 3:  0.5000
>   02-SEP-1993 12:00 / 4:  0.0000
>   03-SEP-1993 00:00 / 5:  0.6667
> 
> ! 24 HOURLY-AVERAGE
> 
> yes? list var[gt=t24h@ave]
>               VARIABLE : IF L[GT=T6H] EQ 1 OR L[GT=T6H] EQ 5 OR  
> L[GT=T6H] EQ 9 THEN 1 ELSE 0
>                          regrid: 24 hour on T@AVE
>               SUBSET   : 3 points (TIME)
>   01-SEP-1993 00 / 1:  0.4000
>   02-SEP-1993 00 / 2:  0.2500
>   03-SEP-1993 00 / 3:  0.4000
> 
> 
> PREVIOUS EXAMPLE
> 
>   If the data are:
>    01-SEP-1993 00:00 / 1: 1.00
>   01-SEP-1993 06:00 / 2: 2.00
>   01-SEP-1993 12:00 / 3: 3.00
>   01-SEP-1993 18:00 / 4: 4.00
>   02-SEP-1993 00:00 / 5: 5.00
>   02-SEP-1993 06:00 / 6: 6.00
>   02-SEP-1993 12:00 / 7: 7.00
>   02-SEP-1993 18:00 / 8: 8.00
>   03-SEP-1993 00:00 / 9: 9.00
>   03-SEP-1993 06:00 / 10: 10.00
>   03-SEP-1993 12:00 / 11: 11.00
>   03-SEP-1993 18:00 / 12: 12.00
>   04-SEP-1993 00:00 / 13: 13.00
> 
>   I would assume to get those numbers for the average:
>    (instead of xxxxx shows the results given by Ferret)
> 
>   t12h@ave
> 
>    01-SEP-1993 00:00 / 1: ( 1.00 + 2.00) /2  = 1.50 instead of  1.33
>   01-SEP-1993 12:00 / 2: ( 3.00 + 4.00) /2  = 3.50             3.00
>   02-SEP-1993 00:00 / 3: ( 5.00 + 6.00) /2  = 5.50             5.00
>   02-SEP-1993 12:00 / 4: ( 7.00 + 8.00) /2  = 7.50             7.00
>   03-SEP-1993 00:00 / 5: ( 9.00 + 10.00) /2 = 9.50             9.00
>   03-SEP-1993 12:00 / 6: (11.00 + 12.00) /2 = 11.50           11.00
>   04-SEP-1993 00:00 / 7: (13.00 + ? ) /2    = ?               12.67
> 
>   t1d@ave
> 
>    01-SEP-1993 00:00 / 1: ( 1.00 + 2.00 + 3.00 + 4.00) /4    = 2.50  
> instead of  1.80
>   02-SEP-1993 00:00 / 3: ( 5.00 + 6.00 + 7.00 + 8.00) /4    = 6.50        
>        5.00
>   03-SEP-1993 00:00 / 5: ( 9.00 + 10.00 + 11.00 + 12.00) /4 = 10.50       
>        9.00
>   04-SEP-1993 00:00 / 7: (13.00 + ? ) /4                    = ?           
>       12.20
> 
> 
> 
> 
> Le 29 juil. 2004, ˆ 22:19, Ansley Manke a Žcrit :
> 
> >  Hi Emile,
> >  I'm sending this back to the Users' List so the discussion is  
> > available to
> >  everyone.
> >
> >  I don't know why you were seeing the incorrect results earlier.Ê  
> > Please let
> >  us know if anything like that happens in the future.Ê When Ferret uses
> >  @AVGÊ it looks at the size of the "boxes" along the axis and applies a
> >  weighting factor based on the portion of the box on the source axis  
> > that
> >  overlaps the box on the destination axis.Ê Some of this is discussed  
> > in the
> >  FAQ,
> > http://www.ferret.noaa.gov/Ferret/FAQ/analysis/regridding_with_ave.html
> >
> >  I hope that it has enough explanation to answer your question.Ê I  
> > also find
> >  that studying the output of commands like these are helpful in  
> > understanding
> >  what the commands are doing:
> >
> >  yes? list t[gt=var], tbox[gt=var], tboxlo[gt=var], tboxhi[gt=var]
> >  yes? list t[gt=var12h], tbox[gt=var12h], tboxlo[gt=var12h],  
> > tboxhi[gt=var]
> >
> >  Emilie Vanvyve wrote:
> >
> > Hi Ansley,
> >
> >  Thanks for the rapidity of the answer! That's something I really  
> > appreciate with the Ferret users list!!
> >
> >  Here are some technical informations: I run Ferret on an  
> > Apple-Macintosh platform (Mac OS 10.3.4). It is the 5.50 version that  
> > I got from the link on the Ferret website towards Mac OS. Ferret  
> > welcomes me with:
> >  NOAA/PMEL TMAP
> >  FERRET v5.50
> >  apple-darwin6.3 - 02/08/03
> >  29-Jul-04 09:29
> >
> >  But, I just have tried your script right now on this platform (Mac,  
> > Ferret 5.50) and a Linux one (Linux 2.4.3, Ferret 5.51), I have gotten  
> > the same numbers as you this time. In a way, that's a good news, but I  
> > really do not understand why it has changed since yesterday. I am 100%  
> > sure of what I did and sent you. It can not have been confusion with  
> > previous variables I could had defined or something like this, as I  
> > quitted Ferret and reopened it to get what I sent you.
> >
> >  On the other hand, there is still something I do not understand in  
> > the results we both get now. The average does not seem to me to be an  
> > average and the sum a sum.
> >
> >  If the data are as previously:
> >  01-SEP-1993 00:00 / 1: 1.00
> >  01-SEP-1993 06:00 / 2: 2.00
> >  01-SEP-1993 12:00 / 3: 3.00
> >  01-SEP-1993 18:00 / 4: 4.00
> >  02-SEP-1993 00:00 / 5: 5.00
> >  02-SEP-1993 06:00 / 6: 6.00
> >  02-SEP-1993 12:00 / 7: 7.00
> >  02-SEP-1993 18:00 / 8: 8.00
> >  03-SEP-1993 00:00 / 9: 9.00
> >  03-SEP-1993 06:00 / 10: 10.00
> >  03-SEP-1993 12:00 / 11: 11.00
> >  03-SEP-1993 18:00 / 12: 12.00
> >  04-SEP-1993 00:00 / 13: 13.00
> >
> >  I would assume to get those numbers for the average and the sum:
> >
> >  t12h@ave
> >
> >  01-SEP-1993 00:00 / 1: ( 1.00 + 2.00) /2 = 1.50 instead of 1.33
> >  01-SEP-1993 12:00 / 2: ( 3.00 + 4.00) /2 = 3.50 3.00
> >  02-SEP-1993 00:00 / 3: ( 5.00 + 6.00) /2 = 5.50 5.00
> >  02-SEP-1993 12:00 / 4: ( 7.00 + 8.00) /2 = 7.50 7.00
> >  03-SEP-1993 00:00 / 5: ( 9.00 + 10.00) /2 = 9.50 9.00
> >  03-SEP-1993 12:00 / 6: (11.00 + 12.00) /2 = 11.50 11.00
> >  04-SEP-1993 00:00 / 7: (13.00 + ? ) /2 = ? 12.67
> >
> >  t1d@ave
> >
> >  01-SEP-1993 00:00 / 1: ( 1.00 + 2.00 + 3.00 + 4.00) /4 = 2.50 instead  
> > of 1.80
> >  02-SEP-1993 00:00 / 3: ( 5.00 + 6.00 + 7.00 + 8.00) /4 = 6.50 5.00
> >  03-SEP-1993 00:00 / 5: ( 9.00 + 10.00 + 11.00 + 12.00) /4 = 10.50 9.00
> >  04-SEP-1993 00:00 / 7: (13.00 + ? ) /4 = ? 12.20
> >
> >  t12h@sum
> >
> >  01-SEP-1993 00:00 / 1: ( 1.00 + 2.00) = 3.00 instead of 2.00
> >  01-SEP-1993 12:00 / 2: ( 3.00 + 4.00) = 7.00 6.00
> >  02-SEP-1993 00:00 / 3: ( 5.00 + 6.00) = 11.00 10.00
> >  02-SEP-1993 12:00 / 4: ( 7.00 + 8.00) = 15.00 14.00
> >  03-SEP-1993 00:00 / 5: ( 9.00 + 10.00) = 19.00 18.00
> >  03-SEP-1993 12:00 / 6: (11.00 + 12.00) = 23.00 22.00
> >  04-SEP-1993 00:00 / 7: (13.00 + ? ) = ? 19.00
> >
> >  t1d@sum
> >
> >  01-SEP-1993 00:00 / 1: ( 1.00 + 2.00 + 3.00 + 4.00) = 10.00 instead  
> > of 4.50
> >  02-SEP-1993 00:00 / 3: ( 5.00 + 6.00 + 7.00 + 8.00) = 26.00 20.00
> >  03-SEP-1993 00:00 / 5: ( 9.00 + 10.00 + 11.00 + 12.00) = 10.50 36.00
> >  04-SEP-1993 00:00 / 7: (13.00 + ? ) = ? 30.50
> >
> >  If that's not the purpose of @ave and @sum, how could I then do with  
> > Ferret the cumul and mean I have reproduced here above?
> >  Hoping it is possible,
> >  best regards,
> >
> >  Emilie
> >
> >
> >  Le 28 juil. 2004, ˆ 19:35, Ansley Manke a Žcrit :
> >
> >
> >  Hi Emilie,
> >  Thank you for sending this example.Ê What version of Ferret are you  
> > running, and on
> >  what operating system?Ê The results you are seeing are clearly  
> > wrong.Ê When I run
> >  your script, I see the following results (first I list the script,  
> > then the results.Ê I get these
> >  same results on both our Solaris and Linux machines with Ferret  
> > version 5.6):
> >
> >
> >
> >  ! ----------------- regridtime.jnl -----------------
> >  ! Create dummy variable
> >  define axis/t="1-sep-1993 00:00":"4-SEP-1993 00:00":6/units=hours t6h
> >  let var = L[gt=t6h]
> >  list var
> >
> >  ! Regrid to 12-hour and to 1-day with @sum
> >
> >  define axis/t="01-SEP-1993 00:00":"4-SEP-1993 00:00":12/units=hours  
> > t12h
> >  let var12h = var[gt=t12h@ave]
> >  list var12h
> >
> >  define axis/t="01-SEP-1993 00:00":"4-SEP-1993 00:00":1/units=days t1d
> >  let var1d = var[gt=t1d@ave]
> >  list var1d
> >
> >  ! Regrid to 12-hour and to 1-day with @sum
> >
> >  define axis/t="01-SEP-1993 00:00":"4-SEP-1993 00:00":12/units=hours  
> > t12h
> >  let var12h = var[gt=t12h@sum]
> >  list var12h
> >
> >  define axis/t="01-SEP-1993 00:00":"4-SEP-1993 00:00":1/units=days t1d
> >  let var1d = var[gt=t1d@sum]
> >  list var1d
> >
> >
> >
> >  Here is the output
> >
> >
> >
> >  yes? ! ----------------- regridtime.jnl -----------------
> >  yes? ! Create dummy variable
> >  yes? define axis/t="1-sep-1993 00:00":"4-SEP-1993  
> > 00:00":6/units=hours t6h
> >  yes? let var = L[gt=t6h]
> >  yes? list var
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ VARIABLE : L[GT=T6H]
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ SUBSETÊÊ : 13 points (TIME)
> >  Ê01-SEP-1993 00:00 /Ê 1:ÊÊ 1.00
> >  Ê01-SEP-1993 06:00 /Ê 2:ÊÊ 2.00
> >  Ê01-SEP-1993 12:00 /Ê 3:ÊÊ 3.00
> >  Ê01-SEP-1993 18:00 /Ê 4:ÊÊ 4.00
> >  Ê02-SEP-1993 00:00 /Ê 5:ÊÊ 5.00
> >  Ê02-SEP-1993 06:00 /Ê 6:ÊÊ 6.00
> >  Ê02-SEP-1993 12:00 /Ê 7:ÊÊ 7.00
> >  Ê02-SEP-1993 18:00 /Ê 8:ÊÊ 8.00
> >  Ê03-SEP-1993 00:00 /Ê 9:ÊÊ 9.00
> >  Ê03-SEP-1993 06:00 / 10:Ê 10.00
> >  Ê03-SEP-1993 12:00 / 11:Ê 11.00
> >  Ê03-SEP-1993 18:00 / 12:Ê 12.00
> >  Ê04-SEP-1993 00:00 / 13:Ê 13.00
> >
> >  yes? ! Regrid to 12-hour and to 1-day with @sum
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":12/units=hours t12h
> >  yes? let var12h = var[gt=t12h@ave]
> >  yes? list var12h
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ VARIABLE : VAR[GT=T12H@AVE]
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ SUBSETÊÊ : 7 points (TIME)
> >  Ê01-SEP-1993 00:00 / 1:ÊÊ 1.33
> >  Ê01-SEP-1993 12:00 / 2:ÊÊ 3.00
> >  Ê02-SEP-1993 00:00 / 3:ÊÊ 5.00
> >  Ê02-SEP-1993 12:00 / 4:ÊÊ 7.00
> >  Ê03-SEP-1993 00:00 / 5:ÊÊ 9.00
> >  Ê03-SEP-1993 12:00 / 6:Ê 11.00
> >  Ê04-SEP-1993 00:00 / 7:Ê 12.67
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":1/units=days t1d
> >  yes? let var1d = var[gt=t1d@ave]
> >  yes? list var1d
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ VARIABLE : VAR[GT=T1D@AVE]
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ SUBSETÊÊ : 4 points (TIME)
> >  Ê01-SEP-1993 00 / 1:ÊÊ 1.80
> >  Ê02-SEP-1993 00 / 2:ÊÊ 5.00
> >  Ê03-SEP-1993 00 / 3:ÊÊ 9.00
> >  Ê04-SEP-1993 00 / 4:Ê 12.20
> >
> >  yes? ! Regrid to 12-hour and to 1-day with @sum
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":12/units=hours t12h
> >  yes? let var12h = var[gt=t12h@sum]
> >  yes? list var12h
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ VARIABLE : VAR[GT=T12H@SUM]
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ SUBSETÊÊ : 7 points (TIME)
> >  Ê01-SEP-1993 00:00 / 1:ÊÊ 2.00
> >  Ê01-SEP-1993 12:00 / 2:ÊÊ 6.00
> >  Ê02-SEP-1993 00:00 / 3:Ê 10.00
> >  Ê02-SEP-1993 12:00 / 4:Ê 14.00
> >  Ê03-SEP-1993 00:00 / 5:Ê 18.00
> >  Ê03-SEP-1993 12:00 / 6:Ê 22.00
> >  Ê04-SEP-1993 00:00 / 7:Ê 19.00
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":1/units=days t1d
> >  yes? let var1d = var[gt=t1d@sum]
> >  yes? list var1d
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ VARIABLE : VAR[GT=T1D@SUM]
> >  ÊÊÊÊÊÊÊÊÊÊÊÊ SUBSETÊÊ : 4 points (TIME)
> >  Ê01-SEP-1993 00 / 1:ÊÊ 4.50
> >  Ê02-SEP-1993 00 / 2:Ê 20.00
> >  Ê03-SEP-1993 00 / 3:Ê 36.00
> >  Ê04-SEP-1993 00 / 4:Ê 30.50
> >
> >  ! -----------------
> >
> >
> >
> >  Emilie Vanvyve wrote:
> >
> >  Hello!
> >
> >  I need some help to regrid data on time. I have 6-hourly  
> > precipitation values and I'd like to have the cumul and the mean on 1  
> > day. I have tried by defining a new time axis and regridding the data  
> > using gt=my_new_time_axis@sum and @ave. Ferret obviously computes  
> > something, the time axis of my new variable is correct, but I'm a bit  
> > perplex about the results Ferret gives me.
> >
> >  Here is an example with a dummy variable.
> >
> >  yes? list var
> >  SUBSET : 13 points (TIME)
> >  01-SEP-1993 00:00 / 1: 1.00
> >  01-SEP-1993 06:00 / 2: 2.00
> >  01-SEP-1993 12:00 / 3: 3.00
> >  01-SEP-1993 18:00 / 4: 4.00
> >  02-SEP-1993 00:00 / 5: 5.00
> >  02-SEP-1993 06:00 / 6: 6.00
> >  02-SEP-1993 12:00 / 7: 7.00
> >  02-SEP-1993 18:00 / 8: 8.00
> >  03-SEP-1993 00:00 / 9: 9.00
> >  03-SEP-1993 06:00 / 10: 10.00
> >  03-SEP-1993 12:00 / 11: 11.00
> >  03-SEP-1993 18:00 / 12: 12.00
> >  04-SEP-1993 00:00 / 13: 13.00
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":12/units=hours t12h
> >  yes? let var12h = var[gt=t12h@ave]
> >  yes? list var12h
> >  VARIABLE : VAR[GT=T12H@AVE]
> >  SUBSET : 7 points (TIME)
> >  01-SEP-1993 00:00 / 1: 1.000
> >  01-SEP-1993 12:00 / 2: 2.000
> >  02-SEP-1993 00:00 / 3: 3.000
> >  02-SEP-1993 12:00 / 4: 4.000
> >  03-SEP-1993 00:00 / 5: 5.000
> >  03-SEP-1993 12:00 / 6: 6.000
> >  04-SEP-1993 00:00 / 7: 7.000
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":1/units=days t1d
> >  yes? let var1d = var[gt=t1d@ave]
> >  yes? list var1d
> >  VARIABLE : VAR[GT=T1D@AVE]
> >  SUBSET : 4 points (TIME)
> >  01-SEP-1993 00 / 1: 1.333
> >  02-SEP-1993 00 / 2: 3.000
> >  03-SEP-1993 00 / 3: 5.000
> >  04-SEP-1993 00 / 4: 6.667
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":12/units=hours t12h
> >  yes? let var12h = var[gt=t12h@sum]
> >  yes? list var12h
> >  VARIABLE : VAR[GT=T12H@SUM]
> >  SUBSET : 7 points (TIME)
> >  01-SEP-1993 00:00 / 1: 1.000
> >  01-SEP-1993 12:00 / 2: 2.000
> >  02-SEP-1993 00:00 / 3: 3.000
> >  02-SEP-1993 12:00 / 4: 4.000
> >  03-SEP-1993 00:00 / 5: 5.000
> >  03-SEP-1993 12:00 / 6: 6.000
> >  04-SEP-1993 00:00 / 7: 7.000
> >
> >  yes? define axis/t="01-SEP-1993 00:00":"4-SEP-1993  
> > 00:00":1/units=days t1d
> >  yes? let var1d = var[gt=t1d@sum]
> >  yes? list var1d
> >  VARIABLE : VAR[GT=T1D@SUM]
> >  SUBSET : 4 points (TIME)
> >  01-SEP-1993 00 / 1: 2.00
> >  02-SEP-1993 00 / 2: 6.00
> >  03-SEP-1993 00 / 3: 10.00
> >  04-SEP-1993 00 / 4: 10.00
> >  yes?
> >
> >  Where am I wrong?
> >
> >  Thanks for any clue!
> >
> >  Emilie
> >
> >  ____________________________________________________________
> >  Emilie VANVYVE
> >  Physicist, PhD student
> >
> >  UniversitŽ catholique de Louvain (UCL)
> >  Institut d'astronomie et de gŽophysique G. Lema”tre (ASTR)
> >  Chemin du Cyclotron, 2
> >  1348 Louvain-la-Neuve (Belgium)
> >  Phone : +32-(0)10-473300
> >  Fax : +32-(0)10-474722
> >  E-mail : vanvyve@astr.ucl.ac.be
> >  Web : www.astr.ucl.ac.be
> >
> >
> >
> > ____________________________________________________________
> >  Emilie VANVYVE
> >  Physicist, PhD student
> >
> >  UniversitŽ catholique de Louvain (UCL)
> >  Institut d'astronomie et de gŽophysique G. Lema”tre (ASTR)
> >  Chemin du Cyclotron, 2
> >  1348 Louvain-la-Neuve (Belgium)
> >  Phone : +32-(0)10-473300
> >  Fax : +32-(0)10-474722
> >  E-mail : vanvyve@astr.ucl.ac.be
> >  Web : www.astr.ucl.ac.be
> >
> >
> >
> ____________________________________________________________
> Emilie VANVYVE
> Physicist, PhD student
> 
> UniversitŽ catholique de Louvain (UCL)
> Institut d'astronomie et de gŽophysique G. Lema”tre (ASTR)
> Chemin du Cyclotron, 2
> 1348 Louvain-la-Neuve (Belgium)
> Phone : +32-(0)10-473300
> Fax : +32-(0)10-474722
> E-mail : vanvyve@astr.ucl.ac.be
> Web : www.astr.ucl.ac.be
> 

-- 
___________________________________________________

    Jaison Kurian                           
    Centre for Atmospheric and Oceanic Sciences
    Indian Institute of Science
    B A N G A L O R E   560 012
    Ph: +91-80-3942505
        +91-80-3600450
    Fax:+91-80-3600865
___________________________________________________




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