Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago.
In the Canadian High Arctic general patterns of temperature are poorly resolved at the meso-scale. This project addressed this issue in three stages. In the first stage a data set of non-standard weather observations was assembled and quality controlled The data set possessed approximately 58000 obs...
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis |
Language: | unknown |
Published: |
University of Ottawa (Canada)
2000
|
Subjects: | |
Online Access: | http://hdl.handle.net/10393/8610 https://doi.org/10.20381/ruor-7396 |
id |
ftunivottawa:oai:ruor.uottawa.ca:10393/8610 |
---|---|
record_format |
openpolar |
spelling |
ftunivottawa:oai:ruor.uottawa.ca:10393/8610 2023-05-15T14:28:49+02:00 Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. Atkinson, David E. Gajewski, Konrad 2000 266 p. application/pdf http://hdl.handle.net/10393/8610 https://doi.org/10.20381/ruor-7396 unknown University of Ottawa (Canada) Source: Dissertation Abstracts International, Volume: 62-04, Section: B, page: 1906. 9780612582613 http://hdl.handle.net/10393/8610 http://dx.doi.org/10.20381/ruor-7396 Physics Atmospheric Science Thesis 2000 ftunivottawa https://doi.org/10.20381/ruor-7396 2021-01-04T17:05:11Z In the Canadian High Arctic general patterns of temperature are poorly resolved at the meso-scale. This project addressed this issue in three stages. In the first stage a data set of non-standard weather observations was assembled and quality controlled The data set possessed approximately 58000 observations, including dry-bulb temperature, wind, visibility and cloud cover, from the spring and summer seasons of the years 1974--1993. Up to 10% of the data were unusable due to erroneous station information. The second part of the project consisted of a principal components analysis (PCA) of daily temperature data in the Canadian Arctic Archipelago (CAA). The PCA (1) demonstrated how the timing and extent of synoptic events could be tracked, (2) identified the major regional controls of temperature in the CAA, and (3) showed that the non-standard data exhibited general coherency with regional patterns yet were able to reveal zones of coherency at the meso-scale in temperature patterns. In the third stage of the project a model to estimate surface air temperature at the meso-scale was constructed, It was based on a 1 km resolution digital elevation model of the CAA. The effects on temperature due to site elevation and coastal proximity were selected for parameterization. The change in temperature with elevation was implemented in the model using derived environmental lapse rates. Advection effects were handled using resultant winds combined with air temperature above the ocean. Lapse rates and resultant wind estimates were obtained from upper air ascents. Model results for 14-day runs were compared to observed data. Residuals (n = 385) possessed a mean absolute error of 1.5°C. The model was sensitive to steep surface inversions and to low-level warming. Sensitivity analyses were performed on the model to determine response to alterations in lapse rate calculation, sea surface temperature, and wind field generation. The model was most sensitive to lapse rate calculation. The lowest mean absolute error (0.2) was obtained using a moderate lapse rate calculation, moderate wind field and variable sea-surface temperature. Thesis Arctic Archipelago Arctic Canadian Arctic Archipelago uO Research (University of Ottawa - uOttawa) Arctic Canadian Arctic Archipelago |
institution |
Open Polar |
collection |
uO Research (University of Ottawa - uOttawa) |
op_collection_id |
ftunivottawa |
language |
unknown |
topic |
Physics Atmospheric Science |
spellingShingle |
Physics Atmospheric Science Atkinson, David E. Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
topic_facet |
Physics Atmospheric Science |
description |
In the Canadian High Arctic general patterns of temperature are poorly resolved at the meso-scale. This project addressed this issue in three stages. In the first stage a data set of non-standard weather observations was assembled and quality controlled The data set possessed approximately 58000 observations, including dry-bulb temperature, wind, visibility and cloud cover, from the spring and summer seasons of the years 1974--1993. Up to 10% of the data were unusable due to erroneous station information. The second part of the project consisted of a principal components analysis (PCA) of daily temperature data in the Canadian Arctic Archipelago (CAA). The PCA (1) demonstrated how the timing and extent of synoptic events could be tracked, (2) identified the major regional controls of temperature in the CAA, and (3) showed that the non-standard data exhibited general coherency with regional patterns yet were able to reveal zones of coherency at the meso-scale in temperature patterns. In the third stage of the project a model to estimate surface air temperature at the meso-scale was constructed, It was based on a 1 km resolution digital elevation model of the CAA. The effects on temperature due to site elevation and coastal proximity were selected for parameterization. The change in temperature with elevation was implemented in the model using derived environmental lapse rates. Advection effects were handled using resultant winds combined with air temperature above the ocean. Lapse rates and resultant wind estimates were obtained from upper air ascents. Model results for 14-day runs were compared to observed data. Residuals (n = 385) possessed a mean absolute error of 1.5°C. The model was sensitive to steep surface inversions and to low-level warming. Sensitivity analyses were performed on the model to determine response to alterations in lapse rate calculation, sea surface temperature, and wind field generation. The model was most sensitive to lapse rate calculation. The lowest mean absolute error (0.2) was obtained using a moderate lapse rate calculation, moderate wind field and variable sea-surface temperature. |
author2 |
Gajewski, Konrad |
format |
Thesis |
author |
Atkinson, David E. |
author_facet |
Atkinson, David E. |
author_sort |
Atkinson, David E. |
title |
Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
title_short |
Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
title_full |
Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
title_fullStr |
Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
title_full_unstemmed |
Topoclimatic modeling of summer surface air temperature in the Canadian Arctic Archipelago. |
title_sort |
topoclimatic modeling of summer surface air temperature in the canadian arctic archipelago. |
publisher |
University of Ottawa (Canada) |
publishDate |
2000 |
url |
http://hdl.handle.net/10393/8610 https://doi.org/10.20381/ruor-7396 |
geographic |
Arctic Canadian Arctic Archipelago |
geographic_facet |
Arctic Canadian Arctic Archipelago |
genre |
Arctic Archipelago Arctic Canadian Arctic Archipelago |
genre_facet |
Arctic Archipelago Arctic Canadian Arctic Archipelago |
op_relation |
Source: Dissertation Abstracts International, Volume: 62-04, Section: B, page: 1906. 9780612582613 http://hdl.handle.net/10393/8610 http://dx.doi.org/10.20381/ruor-7396 |
op_doi |
https://doi.org/10.20381/ruor-7396 |
_version_ |
1766302966790225920 |