Results 11 to 20 of about 66 (43)
Three-Dimensional Lightning Characteristics Analysis over the Tibetan Plateau Based on Satellite-Based and Ground-Based Multi-Source Data [PDF]
Based on the data from the Chinese national ground-based (LFEDA: Low-frequency E-field Detection Array) and satellite-based lightning-detection systems (LMI: Lightning Mapping Imager), the spatial and temporal distribution statistical properties of all ...
Jie Zhu +3 more
doaj +2 more sources
Thermal Deformation Correction for the FY-4A LMI
Affected by solar radiation in space, the FY-4A Lightning Mapping Imager (LMI) detection array exhibits daily periodic thermal expansion and contraction, leading to deviations in lightning positioning accuracy.
Yuansheng Zhang +11 more
doaj +3 more sources
Accurate lightning data are critical for disaster warning and climate research. This study systematically compares the Fengyun-4A Lightning Mapping Imager (FY-4A LMI) satellite and the Advanced Time-of-arrival and Direction (ADTD) lightning location ...
Yahui Wang +8 more
doaj +3 more sources
Correcting for Undercounting of Lightning Flashes by Space‐Based Optical Sensors
Abstract Accurate measurements of global lightning are essential for understanding present and future atmospheric electricity, composition, and climate. The latest space‐based lightning detector, the Geostationary Lightning Mapper (GLM), was the first to be placed in geostationary orbit, with a continuous view of most of the American continents.
P. J. McFarland, W. H. Brune
wiley +1 more source
Abstract A validation study of the Geostationary Lightning Mapper (GLM) on board the Geostationary Operational Environmental Satellite 16 (GOES‐16) was done using a ground‐based lightning mapping array (LMA) deployed as part of the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations ...
Timothy J. Lang
wiley +1 more source
Towards nowcasting in Europe in 2030
An example for nowcast/very short‐range forecasting of rainfall using a combined observation and NWP‐based method by Météo‐France is provided, demonstrating the challenge of predicting convective‐scale system evolution in complex terrain (Cevennes region, South of France; panels (a–d) show nowcasts by this method for four timesteps within 3 h, (e–f ...
Stephan Bojinski +11 more
wiley +1 more source
Day‐To‐Day Quantification of Changes in Global Lightning Activity Based on Schumann Resonances
Abstract The importance of lightning has long been recognized from the point of view of climate‐related phenomena. However, the detailed investigation of lightning on global scales is currently hindered by the incomplete and spatially uneven detection efficiency of ground‐based global lightning detection networks and by the restricted spatio‐temporal ...
T. Bozóki +22 more
wiley +1 more source
Based on the detection data obtained by the LMI (Lightning Mapping Imager)—China’s first satellite-based lightning observation payload—from 2018–2022, combined with the ERA5 (ECMWF Reanalysis v5) reanalysis data of the same period, the temporal and ...
Jie Zhu, Shulin Zhi, Suling Ren
doaj +1 more source
A Global LIS/OTD Climatology of Lightning Flash Extent Density
Abstract Previous lightning climatologies derived from Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) total lightning measurements have quantified lightning frequency as a Flash Rate Density (FRD). This approach assumes that lightning flashes can be represented as points and quantifies the frequency of lightning centered in each ...
Michael Peterson +2 more
wiley +1 more source
Meteorological Satellite Operation Prediction Using a BiLSTM Deep Learning Model
The current satellite management system mainly relies on manual work. If small faults cannot be found in time, it may cause systematic fault problems and then affect the accuracy of satellite data and the service quality of meteorological satellite. If the operation trend of satellite will be predicted, the fault can be avoided.
Yi Peng +5 more
wiley +1 more source

