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Neural network cloud top pressure and height for MODIS
SMHI, Research Department, Atmospheric remote sensing.
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0003-2138-4325
SMHI, Research Department, Atmospheric remote sensing.
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2018 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 11, no 5, p. 3177-3196Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2018. Vol. 11, no 5, p. 3177-3196
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Meteorology and Atmospheric Sciences
Research subject
Remote sensing
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URN: urn:nbn:se:smhi:diva-4686DOI: 10.5194/amt-11-3177-2018OAI: oai:DiVA.org:smhi-4686DiVA, id: diva2:1216077
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-06-11Bibliographically approved

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Håkansson, NinaThoss, AnkeScheirer, RonaldHörnquist, Sara

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