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<DIV><SPAN class=406111812-10092009><FONT face=Arial size=2>We are currently
verifying WRF precip forecasts using NCEP stage IV data. The NCEP stage IV
data is a composite of regional data, and occasionally regions are missing from
the composite. The missing areas are masked using a bitmap in the grib1
encoding. I've attached an example image of stage IV data. The blue
region is where data exists and the black region is the region that is masked
out.</FONT></SPAN></DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial size=2>I'm wondering how
the grid_stat tool handles the missing regions, especially when calculating
GSS. That is, what does grid_stat do with precip points where WRF forecast
data is available, but stage IV data is not available (it's masked
out)? </FONT></SPAN></DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial size=2>We're verifying both
the 'FULL' domain and the domain using the CONUS.poly
region.</FONT></SPAN></DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial size=2>Thank
you.</FONT></SPAN></DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial size=2>Todd
Hutchinson</FONT></SPAN></DIV>
<DIV><SPAN class=406111812-10092009><FONT face=Arial
size=2></FONT></SPAN> </DIV></BODY></HTML>