Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean
A suite of satellite-derived data and high-resolution ocean model outputs were used to study the response of the upper ocean to Hurricane Dorian (2019), which impacted the Bahamas and the eastern coast of the United States in August and September of 2019. We observe enhanced upwelling that in conjun...
Published in: | IEEE Geoscience and Remote Sensing Letters |
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ftsouthmissispun:oai:aquila.usm.edu:fac_pubs-20628 2023-07-30T04:05:19+02:00 Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean Trott, Corinne B. Subrahmanyam, Bulusu 2020-01-01T08:00:00Z https://aquila.usm.edu/fac_pubs/19304 https://doi.org/10.1109/LGRS.2020.3032062 unknown The Aquila Digital Community https://aquila.usm.edu/fac_pubs/19304 https://doi.org/10.1109/LGRS.2020.3032062 Faculty Publications Ekman pumping Hurricane Dorian Hurricanes Legged locomotion mixed layer depth (MLD) Ocean temperature Oceans Satellites Spatial resolution Storms vorticity winds Geography Remote Sensing Social and Behavioral Sciences text 2020 ftsouthmissispun https://doi.org/10.1109/LGRS.2020.3032062 2023-07-15T18:56:01Z A suite of satellite-derived data and high-resolution ocean model outputs were used to study the response of the upper ocean to Hurricane Dorian (2019), which impacted the Bahamas and the eastern coast of the United States in August and September of 2019. We observe enhanced upwelling that in conjunction with surface cooling from precipitation led to an approximate 4 °C drop in sea surface temperature (SST) along and slightly ahead of Dorian's path. The upwelling also increased the local coastal chlorophyll-a levels. Soil Moisture Active Passive (SMAP) sea surface salinity (SSS) shows a clear eye and eye wall structure on September 4 (the day of peak intensity), which has never been seen due to the recency of the SMAP satellite's launch and the strength of Hurricane Dorian (2019). The initial forecast path of Hurricane Dorian was set to travel northward through central Florida; however, we can see from satellite observations that a high-pressure system in the north Atlantic redirects the path of the hurricane offshore. We show a clear upper ocean response to Hurricane Dorian using satellite observations and hope that this multiparameter approach can improve the current quantification of air-sea interactions during Category 5 conditions. Text North Atlantic The University of Southern Mississippi: The Aquila Digital Community Dorian ENVELOPE(-63.497,-63.497,-64.815,-64.815) IEEE Geoscience and Remote Sensing Letters 1 5 |
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Open Polar |
collection |
The University of Southern Mississippi: The Aquila Digital Community |
op_collection_id |
ftsouthmissispun |
language |
unknown |
topic |
Ekman pumping Hurricane Dorian Hurricanes Legged locomotion mixed layer depth (MLD) Ocean temperature Oceans Satellites Spatial resolution Storms vorticity winds Geography Remote Sensing Social and Behavioral Sciences |
spellingShingle |
Ekman pumping Hurricane Dorian Hurricanes Legged locomotion mixed layer depth (MLD) Ocean temperature Oceans Satellites Spatial resolution Storms vorticity winds Geography Remote Sensing Social and Behavioral Sciences Trott, Corinne B. Subrahmanyam, Bulusu Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
topic_facet |
Ekman pumping Hurricane Dorian Hurricanes Legged locomotion mixed layer depth (MLD) Ocean temperature Oceans Satellites Spatial resolution Storms vorticity winds Geography Remote Sensing Social and Behavioral Sciences |
description |
A suite of satellite-derived data and high-resolution ocean model outputs were used to study the response of the upper ocean to Hurricane Dorian (2019), which impacted the Bahamas and the eastern coast of the United States in August and September of 2019. We observe enhanced upwelling that in conjunction with surface cooling from precipitation led to an approximate 4 °C drop in sea surface temperature (SST) along and slightly ahead of Dorian's path. The upwelling also increased the local coastal chlorophyll-a levels. Soil Moisture Active Passive (SMAP) sea surface salinity (SSS) shows a clear eye and eye wall structure on September 4 (the day of peak intensity), which has never been seen due to the recency of the SMAP satellite's launch and the strength of Hurricane Dorian (2019). The initial forecast path of Hurricane Dorian was set to travel northward through central Florida; however, we can see from satellite observations that a high-pressure system in the north Atlantic redirects the path of the hurricane offshore. We show a clear upper ocean response to Hurricane Dorian using satellite observations and hope that this multiparameter approach can improve the current quantification of air-sea interactions during Category 5 conditions. |
format |
Text |
author |
Trott, Corinne B. Subrahmanyam, Bulusu |
author_facet |
Trott, Corinne B. Subrahmanyam, Bulusu |
author_sort |
Trott, Corinne B. |
title |
Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
title_short |
Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
title_full |
Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
title_fullStr |
Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
title_full_unstemmed |
Satellite Data Analysis of the Upper Ocean Response to Hurricane Dorian (2019) in the North Atlantic Ocean |
title_sort |
satellite data analysis of the upper ocean response to hurricane dorian (2019) in the north atlantic ocean |
publisher |
The Aquila Digital Community |
publishDate |
2020 |
url |
https://aquila.usm.edu/fac_pubs/19304 https://doi.org/10.1109/LGRS.2020.3032062 |
long_lat |
ENVELOPE(-63.497,-63.497,-64.815,-64.815) |
geographic |
Dorian |
geographic_facet |
Dorian |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Faculty Publications |
op_relation |
https://aquila.usm.edu/fac_pubs/19304 https://doi.org/10.1109/LGRS.2020.3032062 |
op_doi |
https://doi.org/10.1109/LGRS.2020.3032062 |
container_title |
IEEE Geoscience and Remote Sensing Letters |
container_start_page |
1 |
op_container_end_page |
5 |
_version_ |
1772817147461894144 |