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An automated bolide detection pipeline for GOES GLM [PDF]
The Geostationary Lightning Mapper (GLM) instrument onboard the GOES 16 and 17 satellites has been shown to be capable of detecting bolides (bright meteors) in Earth’s atmosphere.
Jeffrey C Smith +2 more
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RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models
PERSONALIZE, 2023This study presents RoleCraft-GLM, an innovative framework aimed at enhancing personalized role-playing with Large Language Models (LLMs). RoleCraft-GLM addresses the key issue of lacking personalized interactions in conversational AI, and offers a ...
Meiling Tao +4 more
semanticscholar +1 more source
Classification and regression trees (CART) prove to be a true alternative to full parametric models such as linear models (LM) and generalized linear models (GLM).
Christophe Dutang, Quentin Guibert
exaly +2 more sources
GLM and ABI Characteristics of Severe and Convective Storms
Journal of Geophysical Research D: Atmospheres, 2020The recent deployment of the Geostationary Lightning Mapper (GLM) on board GOES‐16 and GOES‐17 provides a new perspective of total lightning production for the severe convective storms research and operational communities.
Kevin C Thiel +2 more
exaly +2 more sources
GLM Observations of the Brightest Lightning in the Americas
Journal of Geophysical Research D: Atmospheres, 2020Two years of Geostationary Lightning Mapper (GLM) science data are used to document the brightest lighting flashes observed on the Americas continent.
Michael Peterson, Erin H Lay
exaly +2 more sources
Efficient GLM‐based control charts for Poisson processes
Quality and Reliability Engineering International, 2021The control charts are essential instruments that can impart crucial insights to quality controllers for maintaining the productivity of manufacturing processes.
T. Mahmood +3 more
semanticscholar +1 more source
Geocarto International, 2020
The mountainous watersheds are increasingly challenged with extreme erosions and devastating floods due to climate change and human interventions. Hazard mapping is essential for local policymaking for prevention, planning the mitigation actions, and ...
A. Mosavi +5 more
semanticscholar +1 more source
The mountainous watersheds are increasingly challenged with extreme erosions and devastating floods due to climate change and human interventions. Hazard mapping is essential for local policymaking for prevention, planning the mitigation actions, and ...
A. Mosavi +5 more
semanticscholar +1 more source
Journal of Geophysical Research: Atmospheres, 2020
The GOES‐16 Geostationary Lightning Mapper (GLM) detection efficiency (DE) is studied over a full year (2018/19) in central Florida using the Kennedy Space Center Lightning Mapping Array (KSC LMA). Mean daily flash DE was 73.8%, and detection was highest
Daile Zhang, K. Cummins
semanticscholar +1 more source
The GOES‐16 Geostationary Lightning Mapper (GLM) detection efficiency (DE) is studied over a full year (2018/19) in central Florida using the Kennedy Space Center Lightning Mapping Array (KSC LMA). Mean daily flash DE was 73.8%, and detection was highest
Daile Zhang, K. Cummins
semanticscholar +1 more source
GLM and joint GLM techniques in hydrogeology: an illustration
International Journal of Hydrology Science and Technology, 2012In regression models with positive observations, estimation is often based on either the log-normal or the gamma model. Generalised linear models and joint generalised linear models are appropriate for analysing positive data with constant and non-constant variance, respectively.
Rabindra Nath Das, Jinseog Kim
openaire +1 more source

