Advanced

Statistical Analysis of Wind Components

Sahlberg, Joakim (2013) FMS820 20131
Mathematical 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:
author
Sahlberg, Joakim
supervisor
organization
course
FMS820 20131
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
3403310
date added to LUP
2013-01-18 15:30:48
date last changed
2013-01-18 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},
}