Statistical Analysis of Wind Components
(2013) FMS820 20131Mathematical Statistics
 Abstract (Swedish)
 In the world of aviation, the need for accurate weather data is very
important in order to plan and conduct a safe flight. Due to technology,
there are ways to recieve accurate weather data live today, but also,
due to technology, this data might not be available. Thus the need for
accurate statistical data is desirable. Is this possible to achieve using
the SADIS data we currently have available? We will try to find the
answer to this question by modelling the data as either an AR(p) or an
ARMA(p,q) model using different types of estimation. It turns out that
we can model the wind speed rather well using an AR(3) model and
the wind direction using an ARMA(5,7) model, where the parameters
are estimated using recursive LMS. In... (More)  In the world of aviation, the need for accurate weather data is very
important in order to plan and conduct a safe flight. Due to technology,
there are ways to recieve accurate weather data live today, but also,
due to technology, this data might not be available. Thus the need for
accurate statistical data is desirable. Is this possible to achieve using
the SADIS data we currently have available? We will try to find the
answer to this question by modelling the data as either an AR(p) or an
ARMA(p,q) model using different types of estimation. It turns out that
we can model the wind speed rather well using an AR(3) model and
the wind direction using an ARMA(5,7) model, where the parameters
are estimated using recursive LMS. In conclusion we can see that the
type of data we have can be modelled using straightforward methods.
However, we cannot simply take our predicted models and apply those
everywhere. But what we can do, is take the methods which resulted in
the given models and apply that to all desired locations. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/studentpapers/record/3403310
 author
 Sahlberg, Joakim
 supervisor

 Andreas Jakobsson ^{LU}
 organization
 course
 FMS820 20131
 year
 2013
 type
 H2  Master's Degree (Two Years)
 subject
 language
 English
 id
 3403310
 date added to LUP
 20130118 15:30:48
 date last changed
 20130118 15:30:48
@misc{3403310, abstract = {In the world of aviation, the need for accurate weather data is very important in order to plan and conduct a safe flight. Due to technology, there are ways to recieve accurate weather data live today, but also, due to technology, this data might not be available. Thus the need for accurate statistical data is desirable. Is this possible to achieve using the SADIS data we currently have available? We will try to find the answer to this question by modelling the data as either an AR(p) or an ARMA(p,q) model using different types of estimation. It turns out that we can model the wind speed rather well using an AR(3) model and the wind direction using an ARMA(5,7) model, where the parameters are estimated using recursive LMS. In conclusion we can see that the type of data we have can be modelled using straightforward methods. However, we cannot simply take our predicted models and apply those everywhere. But what we can do, is take the methods which resulted in the given models and apply that to all desired locations.}, author = {Sahlberg, Joakim}, language = {eng}, note = {Student Paper}, title = {Statistical Analysis of Wind Components}, year = {2013}, }