[gradsusr] gradsusr Digest, Vol 155, Issue 9
Royal Design
info at royaldesign.se
Fri Feb 24 12:17:17 EST 2023
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Today's Topics:
* Re: gradsusr Digest, Vol 155, Issue 8 (Royal Design)
Message: 1
Date: Thu, 23 Feb 2023 17:20:22 +0000
From: Royal Design
To: gradsusr at gradsusr.org <mailto:gradsusr at gradsusr.org>
Subject: Re: [gradsusr] gradsusr Digest, Vol 155, Issue 8
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Today's Topics:
* Minimum MSLP over both time and ensemble
(mike at weatherwatch.net.au <mailto:mike at weatherwatch.net.au> )
Message: 1
Date: Thu, 23 Feb 2023 08:00:15 +1000
From:
To: "'GrADS Users Forum'"
Subject: [gradsusr] Minimum MSLP over both time and ensemble
Message-ID: <0a7901d94709$0b9ac370$22d04a50$@weatherwatch.net.au
<mailto:0a7901d94709$0b9ac370$22d04a50$@weatherwatch.net.au>
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Hi all,
I have the following example which works fine for a single time step for
multiple ensemble members:
'q file'
sizes = sublin(result,5)
esize = subwrd(sizes,15)
'set t 1'
'set e 1 'esize
'define tl = const( const( maskout(PRMSLmsl/100, 996-PRMSLmsl/100), 1), 0,
-u)'
'define percentagetl = (100 * ave(tl, e=1, e='esize')) + (lon/10000)'
'd percentage1l'
How would I go about doing the same as above but instead of a single time
step, do a time series like (eg set t 1 7 to get the min mslp value over a
24 hour period for all ensemble members)
Cheers, Mike
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