<html><head><style>body{font-family:Calibri,Arial;font-size:13px}</style></head><body style="word-wrap:break-word;line-break:after-white-space"><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">Dear Ehsan,</div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto"><br></div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">Follow from Ian’s explanation; as an example, lower resolution grids have less spatial variance than higher resolution grids and interpolating the lower resolution to a higher resolution does not change this. Thus taking a lower resolution grid to a higher resolution grid does not add information. The interpolated data will have low spatial and temporal variance.</div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">That is why more commonly higher resolution grids would be interpolated to lower resolution. </div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto"><br></div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">This information has to be explicitly stated in your paper; because there are some analysis that are sensitive to interpolation and readers have to bear that in mind when comparing results.</div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto"><br></div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">Hope this helps.</div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto"><br></div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">Regards</div><div id="bloop_customfont" style="font-family:Calibri,Arial;font-size:13px;color:rgba(0,0,0,1.0);margin:0px;line-height:auto">Kwesi</div><p class="airmail_on">On 17 July 2020 at 18:48:39, Ian Harris (ENV - Staff) via ncl-talk (<a href="mailto:ncl-talk@mailman.ucar.edu">ncl-talk@mailman.ucar.edu</a>) wrote:</p> <blockquote type="cite" class="clean_bq"><span><div dir="ltr"><div></div><div>
<title></title>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
Hi,</div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
<br></div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
I'd say they want you to examine the resolution of your input and
output data, in case the interpolation could be judged, er,
'optimistic'. For instance, if I had data on a 5° grid, I could
easily interpolate it onto a 0.5° grid, but there are implications
because you're not inventing new data, you're still stuck with the
5° data but on a finer grid.</div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
<br></div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
Cheers</div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
<br></div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt;color:rgb(0,0,0)">
Harry<br></div>
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<hr style="display:inline-block;width:98%" tabindex="-1">
<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> ncl-talk
<<a href="mailto:ncl-talk-bounces@mailman.ucar.edu">ncl-talk-bounces@mailman.ucar.edu</a>> on behalf of Ehsan
Taghizadeh via ncl-talk <<a href="mailto:ncl-talk@mailman.ucar.edu">ncl-talk@mailman.ucar.edu</a>><br>
<b>Sent:</b> 17 July 2020 17:12<br>
<b>To:</b> Ncl-talk <<a href="mailto:ncl-talk@ucar.edu">ncl-talk@ucar.edu</a>><br>
<b>Subject:</b> [ncl-talk] linint2_point</font>
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<div class="x_yahoo-style-wrap" style="font-family:bookman old style,new york,times,serif;font-size:16px">
<div dir="ltr">Dear NCL group,<br></div>
<div dir="ltr">I hope you're doing great.</div>
<div dir="ltr">I have a general question and I hope I could have
your help, as usual.</div>
<div dir="ltr">In one paper I wrote "<span><span lang="EN-GB" style="font-size:12.0pt;line-height:200%;font-family:"Times New Roman",serif">The interpolation was done using the bilinear
method in NCL (NCAR Command Language)</span></span>". Actually, I
interpolated some grid precipitation products on gauged stations
using "linint2_points" from NCL.</div>
<div dir="ltr">The referee commented "<span><span style="font-size:8.5pt;line-height:107%;font-family:"Verdana",sans-serif;color:black">With
how many points? Please discuss also the spatial scale resolution
differences in products and interpolation
implications.</span></span>"</div>
<div dir="ltr">I wanna reply "<span><span style="font-size:11.0pt;line-height:107%;font-family:"Calibri",sans-serif">As
mentioned in the paper, we used NCL in the most programming. NCL
has a function named linint2_points which interpolates from a
rectilinear grid to an unstructured grid using bilinear
interpolation based on the four closest grid points to a particular
(x, y) coordinate pair.</span></span>" However, I don't know how
reply to the part of discussing about different spatial resolution.
May I ask some help about that, please?</div>
<div dir="ltr"><br></div>
<div dir="ltr"><i><font size="2">Sincerely,</font></i></div>
<div dir="ltr"><i><font size="2">Ehsan Taghizadeh</font></i></div>
<div dir="ltr"><i><font size="2">PhD student of
Meteorology,</font></i></div>
<div dir="ltr"><i><font size="2">Institute of Geophysics,
University of Tehran, Iran</font></i></div>
</div>
</div>
</div>
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