Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska
The toxic harmful algal bloom species Alexandrium catenella has been observed to bloom in Alaskan coastal waters when sea surface temperatures (SST) exceed approximately 8oC. Consequently, acquiring, fine scale SST data for Alaskan coastal waters represents a critical first step in developing ecolog...
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ftzenodo:oai:zenodo.org:7036236 2023-05-15T14:17:59+02:00 Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska Wynne, Timothy T. Kibler, Steven R. Sabo, Alexandria Pokrzywinski, Kaytee 2022-08-21 https://zenodo.org/record/7036236 https://doi.org/10.5281/zenodo.7036236 unknown doi:10.5281/zenodo.7013560 https://zenodo.org/record/7036236 https://doi.org/10.5281/zenodo.7036236 oai:zenodo.org:7036236 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode water temperature sea surface temperature Alaska Alexandrium catenella forecasting info:eu-repo/semantics/conferencePaper publication-conferencepaper 2022 ftzenodo https://doi.org/10.5281/zenodo.703623610.5281/zenodo.7013560 2023-03-11T03:16:04Z The toxic harmful algal bloom species Alexandrium catenella has been observed to bloom in Alaskan coastal waters when sea surface temperatures (SST) exceed approximately 8oC. Consequently, acquiring, fine scale SST data for Alaskan coastal waters represents a critical first step in developing ecological models capable of predicting the occurrence of toxic Alexandrium blooms in this region. Remotely sensed satellite SST records represent the most comprehensive SST data set, but before those data can be used, the satellite data require validation which was the goal of this study. Specifically, we compare a remotely sensed monthly sea surface climatological data set produced by NASA’s Jet Propulsion Laboratory with seven meteorological buoys provided by the National Ocean and Atmosphere Administration (NOAA) National Data Buoy Center (NDBC). The comparisons were done on a point-to-pixel basis as well as an aerial estimation method. The selected study area, the Kodiak Archipelago in Alaska (U.S.A.), is characterized as possessing a varied coastline, filled with a number of coves and embayments. Three of the NDBC buoys are located in embayments and an additional one is in the ~40 km wide Shelikof Strait, with the remaining three offshore. The remotely sensed and in situ measurements were highly correlated providing the basis for the extraction fine scale SST data for the Alaska region over the past 10+ years which can be subsequently incorporated into bloom prediction models. Conference Object Archipelago Kodiak Alaska Zenodo |
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water temperature sea surface temperature Alaska Alexandrium catenella forecasting |
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water temperature sea surface temperature Alaska Alexandrium catenella forecasting Wynne, Timothy T. Kibler, Steven R. Sabo, Alexandria Pokrzywinski, Kaytee Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
topic_facet |
water temperature sea surface temperature Alaska Alexandrium catenella forecasting |
description |
The toxic harmful algal bloom species Alexandrium catenella has been observed to bloom in Alaskan coastal waters when sea surface temperatures (SST) exceed approximately 8oC. Consequently, acquiring, fine scale SST data for Alaskan coastal waters represents a critical first step in developing ecological models capable of predicting the occurrence of toxic Alexandrium blooms in this region. Remotely sensed satellite SST records represent the most comprehensive SST data set, but before those data can be used, the satellite data require validation which was the goal of this study. Specifically, we compare a remotely sensed monthly sea surface climatological data set produced by NASA’s Jet Propulsion Laboratory with seven meteorological buoys provided by the National Ocean and Atmosphere Administration (NOAA) National Data Buoy Center (NDBC). The comparisons were done on a point-to-pixel basis as well as an aerial estimation method. The selected study area, the Kodiak Archipelago in Alaska (U.S.A.), is characterized as possessing a varied coastline, filled with a number of coves and embayments. Three of the NDBC buoys are located in embayments and an additional one is in the ~40 km wide Shelikof Strait, with the remaining three offshore. The remotely sensed and in situ measurements were highly correlated providing the basis for the extraction fine scale SST data for the Alaska region over the past 10+ years which can be subsequently incorporated into bloom prediction models. |
format |
Conference Object |
author |
Wynne, Timothy T. Kibler, Steven R. Sabo, Alexandria Pokrzywinski, Kaytee |
author_facet |
Wynne, Timothy T. Kibler, Steven R. Sabo, Alexandria Pokrzywinski, Kaytee |
author_sort |
Wynne, Timothy T. |
title |
Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
title_short |
Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
title_full |
Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
title_fullStr |
Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
title_full_unstemmed |
Assessing the accuracy of Visible Infrared Imaging Radiometer (VIIRS) and MultiUltrahigh Resolution (MUR) Sea-Surface Temperature products for inclusion of a model to forecast blooms of Alexandrium catenella in south-central Alaska |
title_sort |
assessing the accuracy of visible infrared imaging radiometer (viirs) and multiultrahigh resolution (mur) sea-surface temperature products for inclusion of a model to forecast blooms of alexandrium catenella in south-central alaska |
publishDate |
2022 |
url |
https://zenodo.org/record/7036236 https://doi.org/10.5281/zenodo.7036236 |
genre |
Archipelago Kodiak Alaska |
genre_facet |
Archipelago Kodiak Alaska |
op_relation |
doi:10.5281/zenodo.7013560 https://zenodo.org/record/7036236 https://doi.org/10.5281/zenodo.7036236 oai:zenodo.org:7036236 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.703623610.5281/zenodo.7013560 |
_version_ |
1766289772502843392 |