Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System
by
Good, Simon
, Worsfold, Mark
, Atkinson, Chris
, Embury, Owen
in
Analysis
/ Anthropogenic factors
/ climate
/ Climate change
/ climate data record
/ Climate system
/ CMEMS v2.0
/ data collection
/ Datasets
/ Environmental monitoring
/ Eruptions
/ Global temperatures
/ heat
/ Human influences
/ Marine environment
/ Monitoring
/ Oceans
/ OSTIA
/ Satellites
/ Sea surface temperature
/ sea surface temperatures
/ surface water temperature
/ Temperature
/ time series analysis
/ uncertainty
/ Uncertainty analysis
/ Vector analysis
/ volcanic activity
/ Volcanic eruptions
/ Volcanism
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System
by
Good, Simon
, Worsfold, Mark
, Atkinson, Chris
, Embury, Owen
in
Analysis
/ Anthropogenic factors
/ climate
/ Climate change
/ climate data record
/ Climate system
/ CMEMS v2.0
/ data collection
/ Datasets
/ Environmental monitoring
/ Eruptions
/ Global temperatures
/ heat
/ Human influences
/ Marine environment
/ Monitoring
/ Oceans
/ OSTIA
/ Satellites
/ Sea surface temperature
/ sea surface temperatures
/ surface water temperature
/ Temperature
/ time series analysis
/ uncertainty
/ Uncertainty analysis
/ Vector analysis
/ volcanic activity
/ Volcanic eruptions
/ Volcanism
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System
by
Good, Simon
, Worsfold, Mark
, Atkinson, Chris
, Embury, Owen
in
Analysis
/ Anthropogenic factors
/ climate
/ Climate change
/ climate data record
/ Climate system
/ CMEMS v2.0
/ data collection
/ Datasets
/ Environmental monitoring
/ Eruptions
/ Global temperatures
/ heat
/ Human influences
/ Marine environment
/ Monitoring
/ Oceans
/ OSTIA
/ Satellites
/ Sea surface temperature
/ sea surface temperatures
/ surface water temperature
/ Temperature
/ time series analysis
/ uncertainty
/ Uncertainty analysis
/ Vector analysis
/ volcanic activity
/ Volcanic eruptions
/ Volcanism
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System
Journal Article
Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Over the past few decades, the oceans have stored the majority of the excess heat in the climate system resulting from anthropogenic emissions. An accurate, long-term sea surface temperature (SST) dataset is essential for monitoring and researching the changes to the global oceans. A variety of SST datasets have been produced by various institutes over the years, and here, we present a new SST data record produced originally within the Copernicus Marine Environment Monitoring Service (which is therefore named CMEMS v2.0) and assess: (1) its accuracy compared to independent observations; (2) how it compares with the previous version (named CMEMS v1.2); and (3) its performance during two major volcanic eruptions. By comparing both versions of the CMEMS datasets using independent in situ observations, we show that both datasets are within the target accuracy of 0.1 K, but that CMEMS v2.0 is closer to the ground truth. The uncertainty fields generated by the two analyses were also compared, and CMEMS v2.0 was found to provide a more accurate estimate of its own uncertainties. Frequency and vector analysis of the SST fields determined that CMEMS v2.0 feature resolution and horizontal gradients were also superior, indicating that it resolved oceanic features with greater clarity. The behavior of the two analyses during two volcanic eruption events (Mt. Pinatubo and El Chichón) was examined. A comparison with the HadSST4 gridded in situ dataset suggested a cool bias in the CMEMS v2.0 dataset versus the v1.2 dataset following the Pinatubo eruption, although a comparison with sparser buoy-only observations yielded less clear results. No clear impact of the El Chichón eruption (which was a smaller event than Mt. Pinatubo) on CMEMS v2.0 was found. Overall, with the exception of a few specific and extreme events early in the time series, CMEMS v2.0 possesses high accuracy, resolution, and stability and is recommended to users.
This website uses cookies to ensure you get the best experience on our website.