A review of high impact weather for aviation meteorology

I Gultepe, R Sharman, PD Williams, B Zhou… - Pure and applied …, 2019 - Springer
This review paper summarizes current knowledge available for aviation operations related
to meteorology and provides suggestions for necessary improvements in the measurement …

[HTML][HTML] Interpretable deep learning for spatial analysis of severe hailstorms

DJ Gagne II, SE Haupt, DW Nychka… - Monthly Weather …, 2019 - journals.ametsoc.org
Abadi, M., and Coauthors, 2016: Tensorflow: A system for large-scale machine learning.
Proc. 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI'16) …

Multi-Radar Multi-Sensor (MRMS) severe weather and aviation products: Initial operating capabilities

TM Smith, V Lakshmanan, GJ Stumpf… - Bulletin of the …, 2016 - journals.ametsoc.org
Abstract The Multi-Radar Multi-Sensor (MRMS) system, which was developed at the
National Severe Storms Laboratory and the University of Oklahoma, was made operational …

[HTML][HTML] Unlocking the potential of NEXRAD data through NOAA's Big Data Partnership

S Ansari, S Del Greco, E Kearns… - Bulletin of the …, 2018 - journals.ametsoc.org
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Big Data
Partnership (BDP) was established in April 2015 through cooperative research agreements …

The effect of urbanisation on the climatology of thunderstorm initiation

AM Haberlie, WS Ashley… - Quarterly Journal of the …, 2015 - Wiley Online Library
This study assesses the impact of urban land use on the climatological distribution of
thunderstorm initiation occurrences in the humid subtropical region of the southeast United …

[HTML][HTML] The NOAA/CIMSS ProbSevere model: Incorporation of total lightning and validation

JL Cintineo, MJ Pavolonis, JM Sieglaff… - Weather and …, 2018 - journals.ametsoc.org
The NOAA/CIMSS ProbSevere Model: Incorporation of Total Lightning and Validation in:
Weather and Forecasting Volume 33 Issue 1 (2018) Jump to Content Jump to Main Navigation …

[HTML][HTML] A method for identifying midlatitude mesoscale convective systems in radar mosaics. Part I: Segmentation and classification

AM Haberlie, WS Ashley - Journal of Applied Meteorology and …, 2018 - journals.ametsoc.org
A Method for Identifying Midlatitude Mesoscale Convective Systems in Radar Mosaics. Part I:
Segmentation and Classification in: Journal of Applied Meteorology and Climatology Volume …

[HTML][HTML] Tornado probability of detection and lead time as a function of convective mode and environmental parameters

JA Brotzge, SE Nelson, RL Thompson… - Weather and …, 2013 - journals.ametsoc.org
The ability to provide advanced warning on tornadoes can be impacted by variations in
storm mode. This research evaluates 2 yr of National Weather Service (NWS) tornado …

[HTML][HTML] An objective method of evaluating and devising storm-tracking algorithms

V Lakshmanan, T Smith - Weather and Forecasting, 2010 - journals.ametsoc.org
Although storm-tracking algorithms are a key ingredient of nowcasting systems, evaluation
of storm-tracking algorithms has been indirect, labor intensive, or nonspecific. A set of easily …

Exploring lightning jump characteristics

T Chronis, LD Carey, CJ Schultz… - Weather and …, 2015 - journals.ametsoc.org
This study is concerned with the characteristics of storms exhibiting an abrupt temporal
increase in the total lightning flash rate [ie, lightning jump (LJ)]. An automated storm tracking …