NUCAPS
Only used the modified version
Modified version was quite a bit better than the unmodified most of the time
There seemed to be a lot of conflicting information between some of the fields and some of the
other operational tools used to assess the environment
other operational tools used to assess the environment
Use with caution where there are clouds as the NUCAPS seem to struggle with areas of clouds
sometimes
sometimes
In the dry areas, the theta-e values matched up pretty well
The modified soundings seemed to match up better with the environment and seemed to have much
more value in an operational sense
more value in an operational sense
Having the gridded data filled in was better to be able to visualize the gradients easier than having to
interpolate through the gaps
interpolate through the gaps
Using the gridded data with the sounding points overlaid is helpful to understand where there might be
bad data
bad data
Adding some type of wind data would be helpful as well, possibly from GOES or other kinds of
observations
observations
All-Sky LAP
Mostly used the CAPE fields and somewhat used the PWAT fields to look at moisture transport
Noticed a little bit of a dry intrusion into southern SD on the low level PW field where a storm
eventually developed
eventually developed
CAPE was very low yesterday, again using the RAP would probably provide better data, especially
in the CAPE field
in the CAPE field
Again used more for awareness of where relative higher values are and not looking so much at what
those values are
those values are
Helpful for showing where the drier air was in the layered PW product
Is still very nice to have the all-sky as opposed to the clear sky, it’s easier to ignore the lesser quality
data than trying to fill in on your own
data than trying to fill in on your own
ProbSevere
ProbSevere struggled a bit on the storms in Billings as opposed to looking at some of the other data
Can’t be used in a vacuum
Environment was not very good yesterday which seemed to throw off ProbSevere somewhat
Knowing the environment is very important to using ProbSevere and judging the future potential of the
storm
storm
GLM
Getting more use is proving to provide more comfortable using the different products
Trends seemed to show up a little better in the Total Energy product yesterday rather than the FED
Training should probably address the different types of environments and how GLM can fluctuate
depending on area and environment
depending on area and environment
Detection efficiency seems to fluctuate depending on where you are in the country
Used GLM data a little bit in an aviation sense yesterday to compare with SIGMETs and other aviation
advisories
advisories
Also looked at the data over the ocean to see if there were storms off the coast away from any radar
coverage
coverage
Used the flash area along with total energy to try to pick out areas of new growth where flash areas
would theoretically be smaller
would theoretically be smaller
Tried to compare with Earth Networks data to see if there were different types of lightning in the storms
and how that related to the trends in the Event Density
and how that related to the trends in the Event Density
The areal extent would be important to show to the public or something via social media or other
networks
networks
The event density seems to show the storms intensifying, or the lightning ramping up, prior to the FED
CI
There was never really a threat for initiation in Rapid City
It was picking some stuff up under thin cirrus, they were very low values, but it did pick up some on
the cloud features
the cloud features
Severe values seemed to stay pretty low in the area
The CI did seem to pick up some higher values on storms that initiated south of the Billings area
Did pick up on some areas of initiation out of the Rapid City area that were areas of interest
Yesterday seemed to work pretty well and was good at focusing attention on areas of interest
Other
The cloud top products are difficult to use in convection due to the blockiness and non gradients in
the color scale
the color scale















