<div dir="ltr"><div class="gmail_default" style="font-size:small">Dave,</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">Could you write the precip_ave variable to a NetCDF file and send us the file, so we can try trend_manken on it here?</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">You can do something like:</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">fout = addfile("<a href="http://test_trend_manken.nc">test_trend_manken.nc</a>","c")</div><div class="gmail_default" style="font-size:small">fout->pcp = precip_ave</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">and then if the file is too large (say over 25 megabytes), then you can use our ftp to upload it. See </div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style><a href="http://www.ncl.ucar.edu/report_bug.shtml#HowToFTP">http://www.ncl.ucar.edu/report_bug.shtml#HowToFTP</a><br></div><div class="gmail_default" style><br></div><div class="gmail_default" style="font-size:small">Thanks,</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">--Mary</div><div class="gmail_default" style="font-size:small"><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, Apr 4, 2015 at 12:56 PM, David Adams <span dir="ltr"><<a href="mailto:dave.k.adams@gmail.com" target="_blank">dave.k.adams@gmail.com</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"><div><div><div><div><div>Hi all, <br></div>I am using the trend_manken<br></div>function to look at the significance of precipitation intensity trends (using TRMM data) for 15 years (every 3 hours data). When I use 10,000 data points it takes about 3 seconds to run, 20,000 data points about 10 seconds, 25,000 about 15 seconds. When I use the entire time series 29,737 data points, it never finishes. I have waited more than 20 minutes and it keeps spinning. I switched from double to floating point, but that makes no difference.<br><br>;---------------------------------<br>; Mann Kendall test<br>;---------------------------------<br>pa = trend_manken(precip_ave, False, 0)<br>print(pa)<br><br><br><br></div>Any ideas?<br><br></div>saludos,<br></div>Dave<br></div>
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