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<p class="MsoNormal"><span style="mso-fareast-language:EN-US">Since nobody else has bitten;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">There are several approaches to the problem of getting non-standard seasonal averages; my personal experience is that the most universally-convenient way (if not necessarily the most computationally-efficient)
is to reshape the array from a (time, location) format to (year,<month or day>,locn..), where obviously the <month or day> depends on whether you’re using monthly or daily data. You can then simply average across the 2<sup>nd</sup> dimension for the time indices
that you want.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">I’ve attached a function that will do this for monthly data, - if you have daily data you’ll need to edit it. NB this is not an official NCL function, and I take no responsibility if it breaks your
machine, your data, or your career </span><span style="font-family:"Apple Color Emoji";mso-fareast-language:EN-US">😊</span><span style="mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">Will<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">ncl-talk <ncl-talk-bounces@mailman.ucar.edu> on behalf of dale zuri via ncl-talk <ncl-talk@mailman.ucar.edu><br>
<b>Reply to: </b>dale zuri <dalezuri@gmail.com><br>
<b>Date: </b>Saturday, 27 March 2021 at 1:46 pm<br>
<b>To: </b>Ncl-talk <ncl-talk@ucar.edu><br>
<b>Subject: </b>[ncl-talk] sub: Time selection<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Hi NCL users,<o:p></o:p></p>
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<p class="MsoNormal">How to choose JJAS to compute the seasonal average from 1981-2005. ?
<o:p></o:p></p>
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<p class="MsoNormal">I would appreciate any help. <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Thanks<o:p></o:p></p>
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<p class="MsoNormal">DZ<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">names = getfilevarnames(f)<br>
print(names)<br>
x = f->ice<br>
time = f->T<br>
printVarSummary(x)<br>
utc_date = cd_calendar(time, -2)<br>
print(utc_date)<o:p></o:p></p>
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<p class="MsoNormal">Number of Dimensions: 4<br>
Dimensions and sizes: [T | 14086] x [zlev | 1] x [lat | 720] x [lon | 1440]<br>
Coordinates: <br>
T: [1358..15443]<br>
zlev: [ 0.. 0]<br>
lat: [-89.875..89.875]<br>
lon: [0.125..359.875]<br>
Number Of Attributes: 8<br>
pointwidth : 1<br>
valid_max : 100<br>
scale_factor : 0.01<br>
missing_value : -999<br>
units : percentage<br>
valid_min : 0<br>
long_name : Sea ice concentration<br>
standard_name : sea_ice_area_fraction<br>
<br>
<br>
Variable: utc_date<br>
Type: integer<br>
Total Size: 56344 bytes<br>
14086 values<br>
Number of Dimensions: 1<br>
Dimensions and sizes: [14086]<br>
Coordinates: <br>
Number Of Attributes: 1<br>
calendar : standard<br>
(0) 19810920<br>
(1) 19810921<br>
(2) 19810922<br>
(3) 19810923<o:p></o:p></p>
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<p class="MsoNormal">(14085) 20200413<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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