SFO desk
UKMET cloud cover - 13 UTC run, 19 UTC forecast |
Early model runs from the HRRR suggested a clearing time of 1800 UTC, while the high-res UKMET suggested a little later at 1900 UTC (right). Again, the UKMET showed skill in being a more realistic view of cloud cover (i.e. not smoothed). Compared to the satellite, it was relatively close.
GLAMP cloud ceiling height - 13Z run, 2000 UTC forecast |
C&V
The C&V desk yesterday was focused east. AWC participants used the National blend to fill the Sky and CloudBasePrimary grids, while also populating the CloudBasePrimary using pop thunder to add a second layer of clouds and fill as broken in SkySecondary. This was reflected in the TAFs produced off the AWC grids
After this process, there was much discussion on the 'speckly' nature of many of the grids utilized.
AWC Sky grid |
While speckles create a more realistic picture of clouds, they do not necessary help the TAF. In fact, it may hinder. With many speckles, the coverage and base of clouds will be very up and down in the TAF as the model progresses. In other words, there is no clear trend. Again, this is realistic, particularly with partial cloud cover. However, realistic isn't always the most useful for customers, particularly when the up down isn't particularly significant. Feedback from the AWDE perspective suggested that a 'perfect' grid isn't necessary.
AWC Sky grid - smoothed |
Instead, they would rather have something 'practically perfect', or smoothed, so that there is a clear trend in the TAF.
WFO participants also commented that the 'speckly' grids were not ideal for working at a local level. They are using the grids as a driver to create the TAFS, meaning they really need to the smoother fields to do so. During the experiment periods, they actually took the 'speckly' Sky grid and smoothed it out for their purposes before sending back, resulting in clear evidence of difference between a national and local perspective.
TCF feedback was similar to that collected over the past few days. The workload was again a concern, as creating the long-term convective forecast along with the usual 4, 6, and 8 hour forecasts leaves little time for efficient data interrogation. It was suggested that maybe the extended focus only on high-impact areas, or areas where significant traffic constraints may occur, to free up forecaster time and provide value for planners.
On the model side, the ARWX painted a more realistic picture than the HREF as far as convective coverage, while participants fell back to the NAM and GFS for broad scale features. The ARWX was also noted to be a lot better at 24 hours and beyond, not showing a lot of confidence in coverage in the long term. No models had medium coverage for the long-term, which is realistic given the uncertainty in the models. Participants noted that the focus for these long-term convective forecasts should be on the high-confidence, low coverage.
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