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Evaluating the Top-down Emission Rate Retrieval Algorithm (TERRA) Using Virtual Aircraft-based Sampling Within the GEM-MACH Model

Evaluating the Top-down Emission Rate Retrieval Algorithm (TERRA) Using Virtual Aircraft-based Sampling Within the GEM-MACH Model

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Title: Evaluating the Top-down Emission Rate Retrieval Algorithm (TERRA) Using Virtual Aircraft-based Sampling Within the GEM-MACH Model
Author: Fathi, Sepehr
Abstract: Between August 13th and September 7th of 2013, aircraft-based measurements of air pollutants were collected in support of the Joint Canada-Alberta Implementation Plan on Oil Sands Monitoring (JOSM). The Top-down Emission Rate Retrieval Algorithm (TERRA) was developed by Environment and Climate Change Canada (ECCC) to estimate facility emission rates based on the aircraft measurements. Here, as part of a larger effort on TERRA improvement, ECCC's air quality model, Global Environmental Multiscale-Modeling Air-quality and CHemistry (GEM-MACH), was used as a surrogate source of concentration and meteorology data. The TERRA-calculated emission rates are compared with those input into GEM-MACH, for different TERRA configurations. This work evaluates the combination of TERRA and GEM-MACH as a proxy for testing the downward extrapolation schemes within TERRA and identifies possible avenues for GEM-MACH and/or TERRA improvements. Outcomes from this work can provide useful suggestions for future flight plans for top-down emission rate estimations.
Subject: Physics
Keywords: Air quality
Atmospheric physics
Atmospheric science
Virtual aircraft-based sampling
TERRA
GEM-MACH
Air quality forecast model
Environment and Climate Change Canada
Alberta oil sands
Emission rate estimation
Numerical model
Computational physics
Type: Electronic Thesis or Dissertation
Rights: Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
URI: http://hdl.handle.net/10315/34547
Supervisor: Gordon, Mark D.
Degree: MSc - Master of Science
Program: Physics and Astronomy
Exam date: 2017-12-13
Publish on: 2018-05-28

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