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Neural network cloud top pressure and height for MODIS
Håkansson, Nina
SMHI, Research Department, Atmospheric remote sensing.
ORCID iD:
0000-0003-2929-1617
Adok, Claudia
Thoss, Anke
SMHI, Research Department, Atmospheric remote sensing.
ORCID iD:
0000-0003-2138-4325
Scheirer, Ronald
SMHI, Research Department, Atmospheric remote sensing.
Hörnquist, Sara
SMHI, Research Department, Atmospheric remote sensing.
Show others and affiliations
2018 (English)
In:
Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 11, no 5, p. 3177-3196
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2018. Vol. 11, no 5, p. 3177-3196
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
URN:
urn:nbn:se:smhi:diva-4686
DOI:
10.5194/amt-11-3177-2018
OAI: oai:DiVA.org:smhi-4686
DiVA, id:
diva2:1216077
Available from:
2018-06-11
Created:
2018-06-11
Last updated:
2020-05-04
Bibliographically approved
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244 downloads
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01618e3afa1b764802b35e710bf88db3a0f20fd0d85ed3523336b0ca4a172f4a2c170150ea9b7a292eabe9f4cf383d58a37033d59c8443d86e5a08b12d726dd8
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Håkansson, Nina
Thoss, Anke
Scheirer, Ronald
Hörnquist, Sara
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Håkansson, Nina
Thoss, Anke
Scheirer, Ronald
Hörnquist, Sara
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Atmospheric Measurement Techniques
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Direct link
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Cite
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
en-US
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