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Statistical error analysis of a nitrate deposition

Andersson, Leon (2014) In Master's Theses in Mathematical Sciences FMS820 20142
Mathematical Statistics
Abstract (Swedish)
ECDS, Environment Climate Data Sweden, is a commitment that SMHI rendered
the Science Council of Sweden. Their purpose is to assist with search, documentation
and publication of data regarding environment and climate. ECDS oer services
for data stored in their database. One such service that very useful is THREDDS,
Thematic Realtilme Enviromental Distributed Data Service, which is a tool to
make sections from large data sets and visualize data. The purpose of this
Master's Thesis is to combine data from dierent sources in ECDS portal and
create added value by co-evaluation. The essay is then used as a showcase for
ECDS.
SMHI, the Swedish Meteorological and Hydrological Institute, monitors the
deposition of many dierent pollutants... (More)
ECDS, Environment Climate Data Sweden, is a commitment that SMHI rendered
the Science Council of Sweden. Their purpose is to assist with search, documentation
and publication of data regarding environment and climate. ECDS oer services
for data stored in their database. One such service that very useful is THREDDS,
Thematic Realtilme Enviromental Distributed Data Service, which is a tool to
make sections from large data sets and visualize data. The purpose of this
Master's Thesis is to combine data from dierent sources in ECDS portal and
create added value by co-evaluation. The essay is then used as a showcase for
ECDS.
SMHI, the Swedish Meteorological and Hydrological Institute, monitors the
deposition of many dierent pollutants using direct measurements and model
calculations. Data from measurement stations are often very accurate but there
are too few stations to provide knowledge about the geographic distribution
of pollutants. Therefore an important compliment to measurements are model
calculations, although these are less accurate.
SMHI uses a deterministic hierarchical model to predict deposition. The most
important component of this model is the atmospheric transport of substances
model, called MATCH, Multi-scale Atmospheric Transport and Chemistry.
To use data from a model it is important to know how well the predictions
reproduce reality. The aim of this Master's Thesis is to perform an error analysis
of the deposition model in wet-deposition of nitrate, NO3, by comparing model
calculations with real measurements. The error is constructed as the ratio
between the model predictions and measurement data. To be able to explain the
model error a linear regression model, using a subset of the input-parameters
in MATCH as covariates, is constructed. At each observation site the same set
of covariates is used but the regression parameters are re estimated. Building a
second linear model in the spatial variation in the regression coecient makes
it possible to predict and analyze the error everywhere in Europe. Combining
the two models results in a mixed-eect model.
Measurements data, model calculations and explanatory variables were mostly
found in the ECDS's database. The error analysis is developed based on 149
dierent measurement stations and the 8595 model grid of MATCH over
Europe. The Mixed-eect model is tested at 9 randomly selected station sites
and the results are promising.
Keywords
Nitrate, Mixed Eect Model. (Less)
Please use this url to cite or link to this publication:
author
Andersson, Leon
supervisor
organization
course
FMS820 20142
year
type
H2 - Master's Degree (Two Years)
subject
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMS3270-2014
ISSN
1404-6342
other publication id
2014:E65
language
English
id
4888961
date added to LUP
2014-12-22 12:17:43
date last changed
2024-10-14 16:24:03
@misc{4888961,
  abstract     = {{ECDS, Environment Climate Data Sweden, is a commitment that SMHI rendered
the Science Council of Sweden. Their purpose is to assist with search, documentation
and publication of data regarding environment and climate. ECDS oer services
for data stored in their database. One such service that very useful is THREDDS,
Thematic Realtilme Enviromental Distributed Data Service, which is a tool to
make sections from large data sets and visualize data. The purpose of this
Master's Thesis is to combine data from dierent sources in ECDS portal and
create added value by co-evaluation. The essay is then used as a showcase for
ECDS.
SMHI, the Swedish Meteorological and Hydrological Institute, monitors the
deposition of many dierent pollutants using direct measurements and model
calculations. Data from measurement stations are often very accurate but there
are too few stations to provide knowledge about the geographic distribution
of pollutants. Therefore an important compliment to measurements are model
calculations, although these are less accurate.
SMHI uses a deterministic hierarchical model to predict deposition. The most
important component of this model is the atmospheric transport of substances
model, called MATCH, Multi-scale Atmospheric Transport and Chemistry.
To use data from a model it is important to know how well the predictions
reproduce reality. The aim of this Master's Thesis is to perform an error analysis
of the deposition model in wet-deposition of nitrate, NO3, by comparing model
calculations with real measurements. The error is constructed as the ratio
between the model predictions and measurement data. To be able to explain the
model error a linear regression model, using a subset of the input-parameters
in MATCH as covariates, is constructed. At each observation site the same set
of covariates is used but the regression parameters are re estimated. Building a
second linear model in the spatial variation in the regression coecient makes
it possible to predict and analyze the error everywhere in Europe. Combining
the two models results in a mixed-eect model.
Measurements data, model calculations and explanatory variables were mostly
found in the ECDS's database. The error analysis is developed based on 149
dierent measurement stations and the 8595 model grid of MATCH over
Europe. The Mixed-eect model is tested at 9 randomly selected station sites
and the results are promising.
Keywords
Nitrate, Mixed Eect Model.}},
  author       = {{Andersson, Leon}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Statistical error analysis of a nitrate deposition}},
  year         = {{2014}},
}