Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions
Author Posting. © American Geophysical Union, 2016. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 43 (2016): 12,199–12,207, doi:10.1002/2016GL071178. Upper ocean r...
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ftwhoas:oai:darchive.mblwhoilibrary.org:1912/8729 2023-05-15T17:45:41+02:00 Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions Shropshire, Taylor Li, Yizhen He, Ruoying 2016-12-14 https://hdl.handle.net/1912/8729 en_US eng John Wiley & Sons https://doi.org/10.1002/2016GL071178 Geophysical Research Letters 43 (2016): 12,199–12,207 https://hdl.handle.net/1912/8729 doi:10.1002/2016GL071178 Geophysical Research Letters 43 (2016): 12,199–12,207 doi:10.1002/2016GL071178 Storm Sea surface temperature Surface chl α Northwest Atlantic ocean Article 2016 ftwhoas https://doi.org/10.1002/2016GL071178 2022-05-28T22:59:50Z Author Posting. © American Geophysical Union, 2016. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 43 (2016): 12,199–12,207, doi:10.1002/2016GL071178. Upper ocean responses to tropical storms/hurricanes have been extensively studied using satellite observations. However, resolving concurrent sea surface temperature (SST) and chlorophyll α (chl α) responses along storm tracks remains a major challenge due to extensive cloud coverage in satellite images. Here we produce daily cloud-free SST and chl α reconstructions based on the Data INterpolating Empirical Orthogonal Function method over a 10 year period (2003–2012) for the Gulf of Mexico and Sargasso Sea regions. Daily reconstructions allow us to characterize and contrast previously obscured subweekly SST and chl α responses to storms in the two main storm-impacted regions of the Atlantic Ocean. Statistical analyses of daily SST and chl α responses revealed regional differences in the response time as well as the response sensitivity to maximum sustained wind speed and translation speed. This study demonstrates that SST and chl α responses clearly depend on regional ocean conditions and are not as universal as might have been previously suggested. Gulf of Mexico Research Initiative/GISR Grant Number: 02-S130202; NOAA Grant Number: NA11NOS0120033; NASA Grant Numbers: NNX12AP84G, NNX13AD80G 2017-06-14 Article in Journal/Newspaper Northwest Atlantic Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Geophysical Research Letters 43 23 |
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Open Polar |
collection |
Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
op_collection_id |
ftwhoas |
language |
English |
topic |
Storm Sea surface temperature Surface chl α Northwest Atlantic ocean |
spellingShingle |
Storm Sea surface temperature Surface chl α Northwest Atlantic ocean Shropshire, Taylor Li, Yizhen He, Ruoying Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
topic_facet |
Storm Sea surface temperature Surface chl α Northwest Atlantic ocean |
description |
Author Posting. © American Geophysical Union, 2016. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 43 (2016): 12,199–12,207, doi:10.1002/2016GL071178. Upper ocean responses to tropical storms/hurricanes have been extensively studied using satellite observations. However, resolving concurrent sea surface temperature (SST) and chlorophyll α (chl α) responses along storm tracks remains a major challenge due to extensive cloud coverage in satellite images. Here we produce daily cloud-free SST and chl α reconstructions based on the Data INterpolating Empirical Orthogonal Function method over a 10 year period (2003–2012) for the Gulf of Mexico and Sargasso Sea regions. Daily reconstructions allow us to characterize and contrast previously obscured subweekly SST and chl α responses to storms in the two main storm-impacted regions of the Atlantic Ocean. Statistical analyses of daily SST and chl α responses revealed regional differences in the response time as well as the response sensitivity to maximum sustained wind speed and translation speed. This study demonstrates that SST and chl α responses clearly depend on regional ocean conditions and are not as universal as might have been previously suggested. Gulf of Mexico Research Initiative/GISR Grant Number: 02-S130202; NOAA Grant Number: NA11NOS0120033; NASA Grant Numbers: NNX12AP84G, NNX13AD80G 2017-06-14 |
format |
Article in Journal/Newspaper |
author |
Shropshire, Taylor Li, Yizhen He, Ruoying |
author_facet |
Shropshire, Taylor Li, Yizhen He, Ruoying |
author_sort |
Shropshire, Taylor |
title |
Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
title_short |
Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
title_full |
Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
title_fullStr |
Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
title_full_unstemmed |
Storm impact on sea surface temperature and chlorophyll α in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
title_sort |
storm impact on sea surface temperature and chlorophyll α in the gulf of mexico and sargasso sea based on daily cloud-free satellite data reconstructions |
publisher |
John Wiley & Sons |
publishDate |
2016 |
url |
https://hdl.handle.net/1912/8729 |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_source |
Geophysical Research Letters 43 (2016): 12,199–12,207 doi:10.1002/2016GL071178 |
op_relation |
https://doi.org/10.1002/2016GL071178 Geophysical Research Letters 43 (2016): 12,199–12,207 https://hdl.handle.net/1912/8729 doi:10.1002/2016GL071178 |
op_doi |
https://doi.org/10.1002/2016GL071178 |
container_title |
Geophysical Research Letters |
container_volume |
43 |
container_issue |
23 |
_version_ |
1766148889761546240 |