Simulated future shifts in wildfire regimes in moist forests of Pacific Northwest, USA

AW Dye, MJ Reilly, A McEvoy… - Journal of …, 2024 - Wiley Online Library
Fire is an integral natural disturbance in the moist temperate forests of the Pacific Northwest
of the United States, but future changes remain uncertain. Fire regimes in this climatically …

Modeling the probability of dry lightning‐induced wildfires in Tasmania: A machine learning approach

AMK Wickramasinghe, MM Boer… - Geophysical …, 2024 - Wiley Online Library
Dry lightning is a prevalent episodic natural ignition source for wildfires, particularly in
remote regions where such fires can escalate into uncontrollable events, burning extensive …

Assessing Flash Characteristics in Lightning-Initiated Wildfire Events between 1995 and 2020 within the Contiguous United States

CJ Schultz, PM Bitzer, M Antia… - Journal of Applied …, 2024 - journals.ametsoc.org
Twenty-six years of lightning data were paired with over 68 000 lightning-initiated wildfire
(LIW) reports to understand lightning flash characteristics responsible for ignition in between …

Igniting lightning, wildfire occurrence, and precipitation in the boreal forest of northeast China

C Gao, C Shi, J Li, S Yuan, X Huang, Q Zhang… - Agricultural and Forest …, 2024 - Elsevier
Abstract Cloud-to-ground (CG) lightning is the primary cause of major boreal forest wildfires.
Characterizing igniting lightning and the weather conditions favoring ignition is essential for …

[HTML][HTML] Seasonal precipitation variability controls shallow soil water drought events across the southwestern United States

TT McKellar, MA Crimmins - Agricultural and Forest Meteorology, 2025 - Elsevier
The semi-arid climate of the Southwestern United States ('Southwest') presents unique
challenges for quantifying drought conditions due to annual potential evapotranspiration …

Rapid sampling and polarimetric statistics of lightning with a phased array radar

V Goede, D Schvartzman, D Bodine… - Geophysical …, 2025 - Wiley Online Library
Previous studies of lightning detection by radar mostly consisted of observations with
reflector‐antenna systems yielding slow volume scan times. Phased array radars offer much …

Predicting cloud‐to‐ground lightning in the western United States from the large‐scale environment using explainable neural networks

DA Kalashnikov, FV Davenport… - Journal of …, 2024 - Wiley Online Library
Lightning is a major source of wildfire ignition in the western United States (WUS). We build
and train convolutional neural networks (CNNs) to predict the occurrence of cloud‐to …

Forecast-Informed Reservoir Operation within an Actively Managed Distributed Storage Network Using the High-Resolution Rapid Refresh Product

R Post, F Quintero, WF Krajewski - Journal of water resources …, 2025 - ascelibrary.org
An increase in extreme rainfall frequency across the midwestern United States has been
accompanied by an increase in damaging floods. The US has over 90,000 dams, more than …

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models

A Shmuel, T Lazebnik, O Glickman, E Heifetz… - arxiv preprint arxiv …, 2024 - arxiv.org
Wildfires pose a significant natural disaster risk to populations and contribute to accelerated
climate change. As wildfires are also affected by climate change, extreme wildfires are …

Can Little Ponds Fight Big Floods? A Comprehensive Analysis on the Utility of Activated Distributed Storage Networks for Flood Peak Reduction

R Post - 2024 - search.proquest.com
Recent decades have given rise to increases in flood damage across the globe. As intense
rainfall becomes more frequent, traditional flood fighting methods like levees and reservoirs …