When one first displays an ADAS product in AWIPS (at least at our office it works this way!), this is the default color curve that is applied to the image. In this case, ADAS temperatures are displayed for 20Z 17 NOV2009 along with METAR observations. Notice that the colors in this default curve only change gradually over the range of temperatures. As a result, it’s harder to diagnose important temperature gradients and their locations.
Now applying a color curve created locally to this product, it makes all the difference in the world in determining the gradient structure and locations of important gradients. Each color value in the curve represents about a 2 degree increment of temperature. One problem with this curve however is the repeating pinkish colors that are only about 20 degrees apart. You’ve got pinkish colors located somewhat ahead of (warmer air) and somewhat behind (cooler air) the frontal system.
This third color curve was created locally as well. Once again, each color increment is about 2 degrees. But this time, it has almost no repeating colors. This curve I think is better, but the colors are kind of dark if you ask me. So, I’ll probably play around with color curves a bit more in order to produce the best possible display of ADAS data, be it T, Td or perhaps even RH. In summary, to get the most meteorology out of the ADAS dataset, creating color curves that display precise, small incremental changes of T, Td or RH is important.