<div dir="ltr"><div><div>It seems a little strange to me that the total cloud cover product would be averaged over time. Is that really the case?<br><br></div>Anyway, if you really do have an average over overlapping and increasing windows, with nothing else to go on and without applying the equations of motion in reverse, you'd have to assume a linear averaging, so subtraction of subsequent slices of the field (i.e., tcdcclm - tcdcclm(t-1)) would give you piecewise temporal averages. However, that method would give you negative cloud cover values which is clearly nonsensical, which again is why I question whether or not that array contains a temporal average. That just doesn't make a lot of sense.<br><br></div>Jeff Duda<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Nov 2, 2016 at 3:27 PM, Sam Wilson <span dir="ltr"><<a href="mailto:sam@surfline.com" target="_blank">sam@surfline.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<div>Hi,</div>
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<div>I’m working with hourly GFS total cloud cover (TCDCclm) and I’m a bit stumped on the following..</div>
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<div>Given TCDCclm for hours 0-1, 0-2, 0-3, 0-4, 0-5, and 0-6, what is the proper way to determine TCDCclm for hours 1-2, 2-3, 3-4, 4-5, and 5-6?</div>
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<div>I may be making the problem more difficult than it is..but wanted to ping this group to be sure.</div>
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<div>Is there an existing grads script that handles this already and if not, does anyone here have any insight?</div>
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<div>Thanks so much for your time.</div>
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<div>Best,</div>
<div>Sam</div>
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<br></blockquote></div><br><br clear="all"><br>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div>Jeff Duda<br>Post-doctoral research associate<br>University of Oklahoma School of Meteorology<br></div></div></div>
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