Cool, thanks! It looks much better. Might want to update the documentation, though, because it implies the command only applies when using a polar stereographic plot.<br><br>Jeff<br><br><div class="gmail_quote">On Fri, Jan 25, 2013 at 1:40 PM, Jennifer Adams <span dir="ltr"><<a href="mailto:jma@cola.iges.org" target="_blank">jma@cola.iges.org</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word">You can use the 'set mpvals' command to limit the domain displayed when drawing projected data. It's kind of like zooming in with a rubber-banding rectangle of your choice, if you know what I mean. --Jennifer<div>
<br><div><br><div><div><div class="h5"><div>On Jan 25, 2013, at 2:20 PM, Jeff Duda wrote:</div><br></div></div><blockquote type="cite"><div><div class="h5">Hello,<br>I frequently use grids that are projected using the Lambert conformal conic projection. I see that Grads has an mproj option for LCC grids, but they always look horrible for the sizes of the domains I want to plot. I've attached a few examples. Compare the attached plot full_nam_300mb_f01.gif to the plot at <a href="http://www.meteor.iastate.edu/~jdduda/forecast/NAM/full_300mb_f01.gif" target="_blank">http://www.meteor.iastate.edu/~jdduda/forecast/NAM/full_300mb_f01.gif</a>. For this particular comparison the projected plot doesn't look all that bad, but there is still a hint of the problem (look at how much white surrounds the image). I have parea set to give 0.25 page inches of space around the plot. For a better example of this, compare attached image nam_0-3_SRH_f05 to the image at <a href="http://www.meteor.iastate.edu/~jdduda/forecast/NAM/0-3_SRH_f01.gif" target="_blank">http://www.meteor.iastate.edu/~jdduda/forecast/NAM/0-3_SRH_f01.gif</a>. Now the image using mproj lambert has a significant amount of white space where it seems like there should be room to fill. I'm familiar enough with this projection to know that it doesn't have to be applied to global grids, but why does it look so bad, especially for smaller areas? Can this be improved upon?<br>
<br>Jeff Duda<br clear="all"><br>-- <br>Jeff Duda<br>Graduate research assistant<br>University of Oklahoma School of Meteorology<br>Center for Analysis and Prediction of Storms<br>
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--</div><div>Jennifer M. Adams</div><div>IGES/COLA</div><div>4041 Powder Mill Road, Suite 302</div><div>Calverton, MD 20705</div><div><a href="mailto:jma@cola.iges.org" target="_blank">jma@cola.iges.org</a></div><div><br>
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<br></blockquote></div><br><br clear="all"><br>-- <br>Jeff Duda<br>Graduate research assistant<br>University of Oklahoma School of Meteorology<br>Center for Analysis and Prediction of Storms<br>