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dc.contributor.authorLuque, Alejandro
dc.contributor.authorGordillo-Vázquez, Francisco José
dc.contributor.authorLi, Dongshuai
dc.contributor.authorMalagón-Romero, Alejandro
dc.contributor.authorPérez-Invernón, F. J.
dc.contributor.authorSchmalzried, Anthony
dc.contributor.authorSoler, Sergio
dc.contributor.authorChanrion, Olivier
dc.contributor.authorHeumesser, Matthias
dc.contributor.authorNeubert, Torsten
dc.contributor.authorReglero, Victor
dc.contributor.authorØstgaard, Nikolai
dc.date.accessioned2021-05-18T13:04:45Z
dc.date.available2021-05-18T13:04:45Z
dc.date.created2020-12-07T17:43:59Z
dc.date.issued2020
dc.PublishedGeoscientific Model Development. 2020, 13 (11), 5549-5566.
dc.identifier.issn1991-959X
dc.identifier.urihttps://hdl.handle.net/11250/2755513
dc.description.abstractWe 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.en_US
dc.language.isoengen_US
dc.publisherEGUen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModeling lightning observations from space-based platforms (CloudScat.jl 1.0)en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 the Author(s).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.5194/gmd-13-5549-2020
dc.identifier.cristin1857168
dc.source.journalGeoscientific Model Developmenten_US
dc.source.4013
dc.source.1411
dc.source.pagenumber5549-5566en_US
dc.identifier.citationGeoscientific Model Development. 2020, 13 (11), 5549–5566en_US
dc.source.volume13en_US
dc.source.issue11en_US


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