Modeling lightning observations from space-based platforms(CloudScat.jl 1.0) Article Swipe

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Alejandro Luque , Francisco J. Gordillo‐Vázquez , Dongshuai Li , Alejandro Malagón‐Romero , Francisco J. Pérez‐Invernón , Anthony Schmalzried , Sergio Soler , Olivier Chanrion , Matthias Heumesser , Torsten Neubert , V. Reglero , Nikolai Østgaard ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.5194/gmd-2020-161

We describe a computer code that simulates how a satellite observes optical radiation emitted by a lightning flash after it is scattered within an intervening cloud. Our code, CloudScat.jl, is flexible, fully open source and specifically tailored to modern instruments such as the Modular Multispectral Imaging Array (MMIA) component of the Atmosphere-Space Interactions Monitor (ASIM) that operates from the International Space Station. In this article we describe the algorithms implemented in the code and discuss several applications and examples, with an emphasis on the interpretation of MMIA data.

Related Topics

Lightning (Connector)

International Space Station

Computer Graphics

Aerospace Engineering

Artificial Intelligence

Optics

Quantum Mechanics

Concepts

Lightning (connector) Flash (photography) Modular design Multispectral image Computer science Satellite Code (set theory) Component (thermodynamics) Space (punctuation) Cloud computing Atmosphere (unit) Remote sensing International Space Station Source code Interpretation (philosophy) Computer graphics (images) Aerospace engineering Meteorology Physics Engineering Programming language Geology Operating system Artificial intelligence Optics Power (physics) Set (abstract data type) Quantum mechanics Thermodynamics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.5194/gmd-2020-161
PDF: https://doi.org/10.5194/gmd-2020-161
OA Status: gold
Cited By: 2
References: 28
Related Works: 10
OpenAlex ID: https://openalex.org/W4241324477

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DOI: https://doi.org/10.5194/gmd-2020-161

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Title: Modeling lightning observations from space-based platforms(CloudScat.jl 1.0)

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Type: preprint

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Language: en

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Publication year: 2020

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Publication date: 2020-06-24

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Authors: Alejandro Luque, Francisco J. Gordillo‐Vázquez, Dongshuai Li, Alejandro Malagón‐Romero, Francisco J. Pérez‐Invernón, Anthony Schmalzried, Sergio Soler, Olivier Chanrion, Matthias Heumesser, Torsten Neubert, V. Reglero, Nikolai Østgaard

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Landing page: https://doi.org/10.5194/gmd-2020-161

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Concepts: Lightning (connector), Flash (photography), Modular design, Multispectral image, Computer science, Satellite, Code (set theory), Component (thermodynamics), Space (punctuation), Cloud computing, Atmosphere (unit), Remote sensing, International Space Station, Source code, Interpretation (philosophy), Computer graphics (images), Aerospace engineering, Meteorology, Physics, Engineering, Programming language, Geology, Operating system, Artificial intelligence, Optics, Power (physics), Set (abstract data type), Quantum mechanics, Thermodynamics

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Cited by: 2

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Citations by year (recent): 2021: 1, 2020: 1

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References (count): 28

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Related works (count): 10

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