Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT)
Atmospheric CO2 concentrations are influenced by surface fluxes, as well as advection and vertical mixing on the way to the measurement tower. The capability of transport models to accurately represent air parcel trajectories and footprints is crucial in inverse analysis. This study employs the Stoc...
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10315/32208 |
id |
ftyorkuniv:oai:yorkspace.library.yorku.ca:10315/32208 |
---|---|
record_format |
openpolar |
spelling |
ftyorkuniv:oai:yorkspace.library.yorku.ca:10315/32208 2023-05-15T15:55:06+02:00 Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) Balogun, Olalekan Oluleye Bello, Richard 2016-09-20T16:44:09Z application/pdf http://hdl.handle.net/10315/32208 en eng http://hdl.handle.net/10315/32208 Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. Climate change Atmospheric CO2 concentration Biosphere-atmosphere interactions Meteorology and Atmospheric Dynamics Boundary layer processes Carbon fluxes CO2 sources and sinks Trajectory modeling Stochastic Time-Inverted Lagrangian Transport Model STILT Lagrangian Particle Dispersion Models LPDM Carbon Tracker Hudson Bay Lowlands Canada's Boreal Forest Churchill Manitoba Fraserdale Ontario Global Change Science Electronic Thesis or Dissertation 2016 ftyorkuniv 2022-08-22T13:05:46Z Atmospheric CO2 concentrations are influenced by surface fluxes, as well as advection and vertical mixing on the way to the measurement tower. The capability of transport models to accurately represent air parcel trajectories and footprints is crucial in inverse analysis. This study employs the Stochastic Time-inverted Lagrangian Transport model (STILT), driven by meteorological inputs from the North American Regional Reanalysis (NARR), to simulate atmospheric CO2 in the Hudson Bay Lowlands. The primary objectives include: (1) Characterize daily, seasonal and interannual variations of atmospheric CO2 for a 5-year (2008-2012) period; (2) Evaluate the performance of the STILT model, and CarbonTracker flux estimates. STILT-modelled CO2 concentrations compare reasonably against observations. The mean model bias was -0.57 ppm at Churchill, and -2.44 ppm at Fraserdale. Smoothed seasonal curves fitted to the daily afternoon data revealed that model bias was highest during summertime, particularly over the Fraserdale region. This disparity between modelled and observed results are attributed to transport errors related to advection and PBL mixing. Thesis Churchill Hudson Bay York University, Toronto: YorkSpace Hudson Hudson Bay Tower The ENVELOPE(-58.479,-58.479,-62.215,-62.215) |
institution |
Open Polar |
collection |
York University, Toronto: YorkSpace |
op_collection_id |
ftyorkuniv |
language |
English |
topic |
Climate change Atmospheric CO2 concentration Biosphere-atmosphere interactions Meteorology and Atmospheric Dynamics Boundary layer processes Carbon fluxes CO2 sources and sinks Trajectory modeling Stochastic Time-Inverted Lagrangian Transport Model STILT Lagrangian Particle Dispersion Models LPDM Carbon Tracker Hudson Bay Lowlands Canada's Boreal Forest Churchill Manitoba Fraserdale Ontario Global Change Science |
spellingShingle |
Climate change Atmospheric CO2 concentration Biosphere-atmosphere interactions Meteorology and Atmospheric Dynamics Boundary layer processes Carbon fluxes CO2 sources and sinks Trajectory modeling Stochastic Time-Inverted Lagrangian Transport Model STILT Lagrangian Particle Dispersion Models LPDM Carbon Tracker Hudson Bay Lowlands Canada's Boreal Forest Churchill Manitoba Fraserdale Ontario Global Change Science Balogun, Olalekan Oluleye Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
topic_facet |
Climate change Atmospheric CO2 concentration Biosphere-atmosphere interactions Meteorology and Atmospheric Dynamics Boundary layer processes Carbon fluxes CO2 sources and sinks Trajectory modeling Stochastic Time-Inverted Lagrangian Transport Model STILT Lagrangian Particle Dispersion Models LPDM Carbon Tracker Hudson Bay Lowlands Canada's Boreal Forest Churchill Manitoba Fraserdale Ontario Global Change Science |
description |
Atmospheric CO2 concentrations are influenced by surface fluxes, as well as advection and vertical mixing on the way to the measurement tower. The capability of transport models to accurately represent air parcel trajectories and footprints is crucial in inverse analysis. This study employs the Stochastic Time-inverted Lagrangian Transport model (STILT), driven by meteorological inputs from the North American Regional Reanalysis (NARR), to simulate atmospheric CO2 in the Hudson Bay Lowlands. The primary objectives include: (1) Characterize daily, seasonal and interannual variations of atmospheric CO2 for a 5-year (2008-2012) period; (2) Evaluate the performance of the STILT model, and CarbonTracker flux estimates. STILT-modelled CO2 concentrations compare reasonably against observations. The mean model bias was -0.57 ppm at Churchill, and -2.44 ppm at Fraserdale. Smoothed seasonal curves fitted to the daily afternoon data revealed that model bias was highest during summertime, particularly over the Fraserdale region. This disparity between modelled and observed results are attributed to transport errors related to advection and PBL mixing. |
author2 |
Bello, Richard |
format |
Thesis |
author |
Balogun, Olalekan Oluleye |
author_facet |
Balogun, Olalekan Oluleye |
author_sort |
Balogun, Olalekan Oluleye |
title |
Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
title_short |
Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
title_full |
Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
title_fullStr |
Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
title_full_unstemmed |
Measurement of Atmospheric Concentration of CO2 in the Hudson Bay Lowlands: An Application of a Lagrangian Particle Dispersion Model (STILT) |
title_sort |
measurement of atmospheric concentration of co2 in the hudson bay lowlands: an application of a lagrangian particle dispersion model (stilt) |
publishDate |
2016 |
url |
http://hdl.handle.net/10315/32208 |
long_lat |
ENVELOPE(-58.479,-58.479,-62.215,-62.215) |
geographic |
Hudson Hudson Bay Tower The |
geographic_facet |
Hudson Hudson Bay Tower The |
genre |
Churchill Hudson Bay |
genre_facet |
Churchill Hudson Bay |
op_relation |
http://hdl.handle.net/10315/32208 |
op_rights |
Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. |
_version_ |
1766390435052257280 |