Data

MODIS Derived Sea Surface Temperature dataset: Seasonal Means

Geoscience Australia
Huang, Z.
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/25/5a4d783969e89&rft.title=MODIS Derived Sea Surface Temperature dataset: Seasonal Means&rft.identifier=10.4225/25/5a4d783969e89&rft.description=The dataset measures the long-term seasonal means of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the means of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree.This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.Maintenance and Update Frequency: asNeededStatement: The daily MODIS Aqua SST images processed to Level 2 were obtained from the Integrated Marine Observing System (IMOS; http://imos.org.au/) remote sensing facility. The SST algorithm used is the the Ocean Biology Process Group (OBPG) daytime long-wave algorithm (Franz 2006), which is based on MODIS band 31 (11µm) and band 32 (12μm). The monthly SST images were generated by mosaicking the daily SST images, where the overlapping locations have average values of the overlapping cells. The seasonal means were then calculated from the monthly images of the corresponding seasons between July 2002 and December 2017. For example, the winter mean was obtained from all June, July and August images. The spring mean was obtained from all September, October and November images. The summer mean was obtained from all December, January and February images. The autumn mean was obtained from all March, April and May images.&rft.creator=Huang, Z. &rft.date=2017&rft.coverage=westlimit=80; southlimit=-60; eastlimit=180; northlimit=10&rft.coverage=westlimit=80; southlimit=-60; eastlimit=180; northlimit=10&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/&rft_rights=Australian Government Security ClassificationSystem https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_subject=oceans&rft_subject=SST&rft_subject=MODIS&rft_subject=EARTH SCIENCES&rft_subject=National Environmental Science Program&rft_subject=Marine Biodiversity Hub&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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The dataset measures the long-term seasonal means of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the means of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree.

This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

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Maintenance and Update Frequency: asNeeded
Statement: The daily MODIS Aqua SST images processed to Level 2 were obtained from the Integrated Marine Observing System (IMOS; http://imos.org.au/) remote sensing facility. The SST algorithm used is the the Ocean Biology Process Group (OBPG) daytime long-wave algorithm (Franz 2006), which is based on MODIS band 31 (11µm) and band 32 (12μm). The monthly SST images were generated by mosaicking the daily SST images, where the overlapping locations have average values of the overlapping cells. The seasonal means were then calculated from the monthly images of the corresponding seasons between July 2002 and December 2017. For example, the winter mean was obtained from all June, July and August images. The spring mean was obtained from all September, October and November images. The summer mean was obtained from all December, January and February images. The autumn mean was obtained from all March, April and May images.

Created: 28 11 2017

Issued: 04 01 2018

Modified: 23 11 2018

Data time period: 2002-07-01 to 2017-12-31

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text: westlimit=80; southlimit=-60; eastlimit=180; northlimit=10

Subjects
Earth Sciences | MODIS | Marine Biodiversity Hub | National Environmental Science Program | Published_External | SST | oceans |

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url : https://d28rz98at9flks.cloudfront.net/115322/115322.zip

Identifiers
ACN 633 798 857