*Kelsey Thompson (UAH/ATS781): "Comparison of Lightning Imaging Sensor
(LIS) Lightning Data Versus Ground-Based Lightning Detection Networks"
*(15 min Presentation)
Abstract: Lightning data from the satellite based Lightning Imaging
Sensor (LIS) has been compared to data from the ground based Earth
Networks Total Lightning Network (ENTLN) and World Wide Lightning
Location Network (WWLLN). Based on what LIS observes, we have calculated
detection efficiencies for ENTLN and WWLLN. We have found the ground
networks have a large day to day variability. Also, the ground based
networks tend to miss numerous LIS groups and ENTLN misses most activity
in South America. Lightning detected by both LIS and ENTLN does not
demonstrate a one to one correspondence.
*Monte Bateman (USRA): "Generating an Accurate Proxy Dataset for the
GOES Lightning Mapper (GLM)" *(45 min Presentation)
Abstract: A next-generation Lightning Mapper is being built for the
GOES-R satellite, to be launched in 2015. In order to be ready on "Day 0"
for this new sensor, we need to generate a scientifically accurate proxy
dataset. This proxy is being used to test most of the algorithms that are
being developed for GLM data; the proxy data will also allow us to
simulate the entire datapath from sensor to NWS
display. The closest proxy we have for the GLM is the LIS instrument,
currently in orbit, completing the 14th year of its 3-year mission. We
have had to learn some new science about the properties of lightning as
seen by LIS so that we can properly simulate LIS data in the creation of
a high-fidelity GLM proxy. Some of these new details will be presented,
along with details of the proxy process.