@COMMENT{{This file has been generated by bib2bib 1.85}}
@COMMENT{{Command line: /usr/bin/bib2bib -oc mcite -ob mono.bib -c 'author : "\(J\(ohan\|\.\)?[ ~]*Arvelius\|Arvelius,[ ~]*J\(ohan\|\.\)?\)" and ($type : "MASTERSTHESIS" or $type : "PHDTHESIS")' ../strings.bib ../descartes.bib ../main.bib}}
@PHDTHESIS{arvelius2005umu,
author = {Johan Arvelius},
title = {Calibration and quality assessment of {DESCARTES}
---grabsampler for stratospheric tracers},
school = {Swedish Institute of Space Physics/Ume{\r{a}} University},
year = 2005,
isbn = {91-7305-945-5},
address = {Kiruna},
url = {http://documents.irf.se/get_document.php?group=Administration&docid=465}
}
@MASTERSTHESIS{arvelius1998lu,
author = {Arvelius, Johan},
title = {Solar variation signals in the Earth's atmosphere --
a study using neural networks},
school = {Swedish Institute of Space Physics/Lund University},
year = 1998,
abstract = {The effects of solar activity on the Earth's
atmosphere and our weather systems is a very complex
but interesting task for research. The purpose with
this work is to see whether one can see which
aspects of solar activity are best correlated with
the local weather in Kiruna using neural
networks. This has its interest in choosing future
research directions in the area. After a discussion
of which measurable parameters of the solar activity
might be relevant, a study is made to see if one can
see any correlation between the solar activity and
the local weather using time dependent neural
networks. The result is, unfortunately,
negative. The rest of the study is spent in study
the correlation between solar activity and the
ionosphere, where the connection is simpler,
deterministic and well understood. By studying this
system one can learn much about the influences of
solar activity on the Earth's upper
atmosphere. Because this is a well understood system
I could also learn much about the performance of the
neural networks in resolving different changes.},
pdf = {arvelius1998lu.pdf}
}
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