Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery
Abstract The Antarctic coast is an area of high cyclonic activity. Specifically, the regions of Terra Nova Bay, in the western Ross Sea, and Byrd Glacier, in the western Ross Ice Shelf, are prone to cyclone development. The United States, New Zealand, and Italian Antarctic programmes conduct extensi...
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Online Access: | http://dx.doi.org/10.1017/s0954102011000745 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102011000745 |
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crcambridgeupr:10.1017/s0954102011000745 2024-03-03T08:38:53+00:00 Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery Nigro, Melissa A. Cassano, John J. Knuth, Shelley L. 2011 http://dx.doi.org/10.1017/s0954102011000745 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102011000745 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Antarctic Science volume 24, issue 2, page 183-192 ISSN 0954-1020 1365-2079 Geology Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2011 crcambridgeupr https://doi.org/10.1017/s0954102011000745 2024-02-08T08:45:48Z Abstract The Antarctic coast is an area of high cyclonic activity. Specifically, the regions of Terra Nova Bay, in the western Ross Sea, and Byrd Glacier, in the western Ross Ice Shelf, are prone to cyclone development. The United States, New Zealand, and Italian Antarctic programmes conduct extensive research activities in the region of the western Ross Sea. Due to the harsh weather conditions associated with the cyclonic systems that occur in this region and the abundant research activities in the area, it is important to be able to accurately predict the timing, location and strength of cyclones in this sector of Antarctica. This study evaluates the ability of the Antarctic Mesoscale Prediction System (from 2006–09) to accurately forecast cyclones in the region of the western Ross Sea by comparing the Antarctic Mesoscale Prediction System forecasts to cyclones identified in infrared satellite imagery. The results indicate that the Antarctic Mesoscale Prediction System is able to accurately predict the presence of cyclones about 40% of the time (at a minimum) and the presence of no cyclones about 70% of the time. Article in Journal/Newspaper Antarc* Antarctic Antarctic Science Antarctica Byrd Glacier Ice Shelf Ross Ice Shelf Ross Sea Cambridge University Press Antarctic The Antarctic Ross Sea Terra Nova Bay Ross Ice Shelf New Zealand Byrd Byrd Glacier ENVELOPE(160.333,160.333,-80.250,-80.250) Antarctic Science 24 2 183 192 |
institution |
Open Polar |
collection |
Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Geology Ecology, Evolution, Behavior and Systematics Oceanography Nigro, Melissa A. Cassano, John J. Knuth, Shelley L. Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
topic_facet |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract The Antarctic coast is an area of high cyclonic activity. Specifically, the regions of Terra Nova Bay, in the western Ross Sea, and Byrd Glacier, in the western Ross Ice Shelf, are prone to cyclone development. The United States, New Zealand, and Italian Antarctic programmes conduct extensive research activities in the region of the western Ross Sea. Due to the harsh weather conditions associated with the cyclonic systems that occur in this region and the abundant research activities in the area, it is important to be able to accurately predict the timing, location and strength of cyclones in this sector of Antarctica. This study evaluates the ability of the Antarctic Mesoscale Prediction System (from 2006–09) to accurately forecast cyclones in the region of the western Ross Sea by comparing the Antarctic Mesoscale Prediction System forecasts to cyclones identified in infrared satellite imagery. The results indicate that the Antarctic Mesoscale Prediction System is able to accurately predict the presence of cyclones about 40% of the time (at a minimum) and the presence of no cyclones about 70% of the time. |
format |
Article in Journal/Newspaper |
author |
Nigro, Melissa A. Cassano, John J. Knuth, Shelley L. |
author_facet |
Nigro, Melissa A. Cassano, John J. Knuth, Shelley L. |
author_sort |
Nigro, Melissa A. |
title |
Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
title_short |
Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
title_full |
Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
title_fullStr |
Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
title_full_unstemmed |
Evaluation of Antarctic Mesoscale Prediction System (AMPS) cyclone forecasts using infrared satellite imagery |
title_sort |
evaluation of antarctic mesoscale prediction system (amps) cyclone forecasts using infrared satellite imagery |
publisher |
Cambridge University Press (CUP) |
publishDate |
2011 |
url |
http://dx.doi.org/10.1017/s0954102011000745 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102011000745 |
long_lat |
ENVELOPE(160.333,160.333,-80.250,-80.250) |
geographic |
Antarctic The Antarctic Ross Sea Terra Nova Bay Ross Ice Shelf New Zealand Byrd Byrd Glacier |
geographic_facet |
Antarctic The Antarctic Ross Sea Terra Nova Bay Ross Ice Shelf New Zealand Byrd Byrd Glacier |
genre |
Antarc* Antarctic Antarctic Science Antarctica Byrd Glacier Ice Shelf Ross Ice Shelf Ross Sea |
genre_facet |
Antarc* Antarctic Antarctic Science Antarctica Byrd Glacier Ice Shelf Ross Ice Shelf Ross Sea |
op_source |
Antarctic Science volume 24, issue 2, page 183-192 ISSN 0954-1020 1365-2079 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0954102011000745 |
container_title |
Antarctic Science |
container_volume |
24 |
container_issue |
2 |
container_start_page |
183 |
op_container_end_page |
192 |
_version_ |
1792507349028569088 |