Global and regional trends and drivers of fire under climate change

MW Jones, JT Abatzoglou, S Veraverbeke… - Reviews of …, 2022 - Wiley Online Library
Recent wildfire outbreaks around the world have prompted concern that climate change is
increasing fire incidence, threatening human livelihood and biodiversity, and perpetuating …

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] Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4

J Yang, Z Zhang, C Wei, F Lu… - Bulletin of the American …, 2017 - journals.ametsoc.org
Introducing the New Generation of Chinese Geostationary Weather Satellites, Fengyun-4 in:
Bulletin of the American Meteorological Society Volume 98 Issue 8 (2017) Jump to Content …

[HTML][HTML] A closer look at the ABI on the GOES-R series

TJ Schmit, P Griffith, MM Gunshor… - Bulletin of the …, 2017 - journals.ametsoc.org
A Closer Look at the ABI on the GOES-R Series in: Bulletin of the American Meteorological
Society Volume 98 Issue 4 (2017) Jump to Content Jump to Main Navigation Logo Logo Logo …

Initial geostationary lightning mapper observations

SD Rudlosky, SJ Goodman, KS Virts… - Geophysical …, 2019 - Wiley Online Library
Abstract The Geostationary Lightning Mapper (GLM) continuously observes lightning
throughout a near‐hemispheric field of view, capturing spatiotemporal variability on …

Variation of lightning-ignited wildfire patterns under climate change

FJ Pérez-Invernón, FJ Gordillo-Vázquez… - Nature …, 2023 - nature.com
Lightning is the main precursor of natural wildfires and Long-Continuing-Current (LCC)
lightning flashes are proposed to be the main igniters of lightning-ignited wildfires (LIW) …

Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology

M Veillette, S Samsi, C Mattioli - Advances in Neural …, 2020 - proceedings.neurips.cc
Modern deep learning approaches have shown promising results in meteorological
applications like precipitation nowcasting, synthetic radar generation, front detection and …

Evaluation, tuning and interpretation of neural networks for working with images in meteorological applications

I Ebert-Uphoff, K Hilburn - Bulletin of the American …, 2020 - journals.ametsoc.org
Evaluation, Tuning, and Interpretation of Neural Networks for Working with Images in
Meteorological Applications in: Bulletin of the American Meteorological Society Volume 101 Issue …

Three years of the lightning imaging sensor onboard the international space station: Expanded global coverage and enhanced applications

RJ Blakeslee, TJ Lang, WJ Koshak… - Journal of …, 2020 - Wiley Online Library
Abstract The Lightning Imaging Sensor (LIS) was launched to the International Space
Station (ISS) in February 2017, detecting optical signatures of lightning with storm‐scale …

Lightning locating systems: Insights on characteristics and validation techniques

A Nag, MJ Murphy, W Schulz… - Earth and Space …, 2015 - Wiley Online Library
Ground‐based and satellite‐based lightning locating systems are the most common ways to
detect and geolocate lightning. Depending upon the frequency range of operation, LLSs …