<div dir="ltr"><div>[1] I speculate the formula to which you refer applies to cartesian grids and not grids on a sphere.</div><div><br></div><div>[2] Most commonly, filters are used on time series. However, they could be applied to any series [Time, or space]. <br></div><div><br></div><div>[3] NCL can perform spherical harmonic analysis/synthesis functions. So, if you want spatial band pass filter on a sphere, you may wish to: (a) perform a spherical harmonic analysis; (b) set the appropriate coefficients to zero; and (c) perform a spherical harmonic syntheses. Technically, you should do some form of tapering on the retained coefficients to minimize Gibb's effects.</div><div><br></div><div>(b) is the tricky part <br></div><div>---</div><div>Good luck<br></div><div><br></div><div><pre><br></pre></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Fri, May 3, 2019 at 12:16 PM Prashanth Bhalachandran <<a href="mailto:prashanth.bhalachandran@gmail.com">prashanth.bhalachandran@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div style="overflow-wrap: break-word;"><div>Hello NCL-experts, </div><div>I am looking for a function that does a spatial band pass filtering (Gaussian low-pass filters). I checked for previous threads and I found that there are Lanczos filters in NCL. However, these appear to be specific to the temporal/frequency filtering (please correct me if I am wrong). I am looking for something spatial. </div><div><br></div><div>Specifically, on the lines of: </div><div><img id="gmail-m_-525373859850593998B1FCE146-44F9-486D-A643-550359509536" src="cid:16a7f4bf20f9b8bff7c1"></div><div><br></div><div>Any leads on this will be immensely helpful. </div><div><br></div><div>Thank you, </div><div>Prashanth </div></div>_______________________________________________<br>
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