A5037573299- Meteorological Phenomena and Simulations
- Lightning and Electromagnetic Phenomena
- Fire effects on ecosystems
- Atmospheric aerosols and clouds
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Icing and De-icing Technologies
- Space exploration and regulation
- Space Exploration and Technology
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Planetary Science and Exploration
- Atmospheric Ozone and Climate
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Wind and Air Flow Studies
- Ionosphere and magnetosphere dynamics
- Fire dynamics and safety research
- Nuclear Physics and Applications
- Winter Sports Injuries and Performance
- Radiation Therapy and Dosimetry
- Climate variability and models
- Gamma-ray bursts and supernovae
- Atmospheric chemistry and aerosols
- Advanced Decision-Making Techniques
University of Alabama in Huntsville
2018-2025
Prediction Systems (United States)
2021
Research Experiences for Undergraduates
2021
Central Michigan University
2021
Marshall Space Flight Center
2020
Abstract An internationally collaborative airborne campaign in July 2023 – led by the University of Bergen (Norway) and NASA, with contributions from many other institutions discovered that thunderstorms near Florida Central America produce gamma rays far more frequently than previously thought. The was called Airborne Lightning Observatory for Fly’s Eye Geostationary Mapper (GLM) Simulator (FEGS) Terrestrial Gamma-ray Flashes (TGFs), which shortens to ALOFT. employed a unique sampling...
Abstract This study examined 34 lightning flashes within four separate thundersnow events derived from mapping arrays (LMAs) in northern Alabama, central Oklahoma, and Washington DC. The goals were to characterize the in‐cloud component of each flash, as well correspondence between LMA observations data taken national networks like National Lightning Detection Network (NLDN). Individual detail highlight several set. results demonstrated that structures these primarily normal polarity. mean...
Abstract Airborne dust has broad adverse effects on human activity, including aviation, health, and agriculture. Remote sensing observations are used to detect aerosols in the atmosphere using long established techniques. False color Red‐Green‐Blue (RGB) imagery band differences sensitive absorption (Dust RGB) is currently operationally assist forecasters decision‐makers identifying at night, but there still limitations, subjectivity, nuances image interpretation making night‐time...
Abstract This study examines characteristics of lightning in snowfall events (i.e., thundersnow, TSSN) from the perspective Geostationary Lightning Mapper (GLM) and National Environmental Satellite Data Information Service (NESDIS) merged Snowfall Rate (mSFR) product. A thundersnow detection algorithm (TDA) was derived GLM mSFR that resulted a probability (POD) 66.7% when compared to aviation routine weather report (METAR) reports TSSN. However, using TDA an additional 2175 flashes within...
Abstract Aircraft electric fields from NASA's Lightning Instrument Package (LIP) were coupled with other airborne and ground‐based, in situ measurements to understand electrification winter clouds that did not produce lightning. The made during seven research flights by a NASA ER‐2 the 2020 Investigation of Microphysics Precipitation for Atlantic Coast‐Threatening Snowstorms (IMPACTS) campaign. Observed total field magnitudes as high 80 V m −1 variability was observed along flight path ER‐2,...
Abstract This study describes recent advancements in the Multi-Radar Multi-Sensor (MRMS) automated gauge ingest and quality control (QC) processes. A data latency analysis for combined multiple collection platforms provided guidance a multiple-pass generation delivery of gauge-based precipitation products. Various to QC logic were evaluated over 21-month period, resulting an average 86% hourly observations per hour being classified as useful. The fully-automated was compared manual human...
Abstract It has been theorized that thundersnow (TSSN) occurs in conjunction with heavy snowfall rates and geographical regions where heavy-banded snow more frequently. This study aims to objectively quantitatively identify characteristics associated TSSN improve the situational awareness of hazards. The Geostationary Lightning Mapper (GLM), National Environmental Satellite Data Information Services (NESDIS) merged Snowfall Rate (mSFR) product, surface observations were utilized characterize...
Abstract Using gridded and interpolated Derived Motion Winds from the Advanced Baseline Imager (ABI), a Lagrangian cloud-feature tracking technique was developed to create, document trajectories associated with electrified snowfall changes in cloud characteristics leading up initiation of lightning, respectively. This study implemented thundersnow detection algorithm defined (TSI) as first group flash detected by Geostationary Lightning Mapper when snow occurring. Ten ABI channels four...
Abstract The 10–12 April 2019 thundersnow (i.e., lightning within snowfall) outbreak was examined via ground‐ and space‐based observations simulated using a numerical weather prediction model with an explicit electrification parameterization. When compared to observations, the simulation propagated synoptic snowband two six hours faster while also exaggerating 3‐D reflectivity structure. Throughout event, produced 1,733 flashes which less than what observed by sensors. In general, were...
Abstract Two nor'easter events—sampled during the NASA Investigation of Microphysics and Precipitation for Atlantic Coast‐Threatening Snowstorms (IMPACTS) field campaign—were examined to characterize microphysics in relation underlying electrification processes within wintertime stratiform regions. A theoretical model was developed determine whether accretion or diffusion growth regimes were preferential periods greatest electrification. Model simulation with parameterization used provide...