<div dir="ltr"><div><div><div>Not sure I understand your data structure<br> <br></div><div> x(time,...) where time=0,12,24,36,...<br><br></div><div> x00 = dim_avg_n_Wrap(x(::2,....), 0) ; start at 00</div></div> printVarSummary(x00)<br></div><div> printMinMax(x00,0)<br></div><div><br></div> x12 = dim_avg_n_Wrap(x(1::2,....), 0) ; start at 12z<br> printVarSummary(x12)<br><div> printMinMax(x12,0)<br></div><div><br></div><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Aug 18, 2016 at 1:32 PM, Zhuming Ying <span dir="ltr"><<a href="mailto:zhuming@ucar.edu" target="_blank">zhuming@ucar.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">HI, <div><br></div><div>I have 10-day data, each day has 12 hour fcst data (total 10x12 data). I need to do is averaging these data (10 days) on every fcst hours (12 data). But the problem is some data will missing (some day or some fcst hour in one day are missing). So my question is how to skip these missing data in NCL?<br></div><div><br></div><div>Thanks,</div><div>Zhuming</div></div>
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