Red Sea surface temperature ...
Daily sea-surface temperature observations from the years 1985 to 2015 (inclusive), for 16703 regularly-spaced locations across the Red Sea; see Donlon et al. (2012) for details. These data have been analysed by Hazra and Huser (2021), Simpson and Wadsworth (2021), Simpson et al. (2023), and Sainsbu...
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Online Access: | https://dx.doi.org/10.5281/zenodo.8134199 https://zenodo.org/doi/10.5281/zenodo.8134199 |
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ftdatacite:10.5281/zenodo.8134199 2024-01-28T10:09:06+01:00 Red Sea surface temperature ... Sainsbury-Dale, Matthew 2023 https://dx.doi.org/10.5281/zenodo.8134199 https://zenodo.org/doi/10.5281/zenodo.8134199 unknown Zenodo https://dx.doi.org/10.5281/zenodo.8134200 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.813419910.5281/zenodo.8134200 2024-01-04T19:46:29Z Daily sea-surface temperature observations from the years 1985 to 2015 (inclusive), for 16703 regularly-spaced locations across the Red Sea; see Donlon et al. (2012) for details. These data have been analysed by Hazra and Huser (2021), Simpson and Wadsworth (2021), Simpson et al. (2023), and Sainsbury-Dale et al. (2023), among others. ## References - Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., and Wimmer, W. (2012). The operational sea surface temperature and sea ice analysis (OSTIA) system. *Remote Sensing of Environment*, 116:140–158. - Hazra, A. and Huser, R. (2021). Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. *Annals of Applied Statistics*, 15:572–596. - Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023) Likelihood-free parameter estimation with neural Bayes estimators. doi:10.1080/00031305.2023.2249522. - Simpson, E. S., Opitz, T., and Wadsworth, J. L. (2023). High-dimensional modeling of spatial and ... : Denote the number of days for which data was recorded by *r* = 16703. A number of objects are stored in this data set: - `data` is an *r* x *n* matrix with rows corresponding to days and columns corresponding to spatial location. - `loc` is a 2 x *n* matrix of spatial locations. - `time`, `day`, `month`, and `year` are *r*-vectors whose *i*th elements respectively give the time, day, month, and year that `data[i, ]` was observed. ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) Fiedler ENVELOPE(-140.683,-140.683,-85.550,-85.550) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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unknown |
description |
Daily sea-surface temperature observations from the years 1985 to 2015 (inclusive), for 16703 regularly-spaced locations across the Red Sea; see Donlon et al. (2012) for details. These data have been analysed by Hazra and Huser (2021), Simpson and Wadsworth (2021), Simpson et al. (2023), and Sainsbury-Dale et al. (2023), among others. ## References - Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., and Wimmer, W. (2012). The operational sea surface temperature and sea ice analysis (OSTIA) system. *Remote Sensing of Environment*, 116:140–158. - Hazra, A. and Huser, R. (2021). Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model. *Annals of Applied Statistics*, 15:572–596. - Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023) Likelihood-free parameter estimation with neural Bayes estimators. doi:10.1080/00031305.2023.2249522. - Simpson, E. S., Opitz, T., and Wadsworth, J. L. (2023). High-dimensional modeling of spatial and ... : Denote the number of days for which data was recorded by *r* = 16703. A number of objects are stored in this data set: - `data` is an *r* x *n* matrix with rows corresponding to days and columns corresponding to spatial location. - `loc` is a 2 x *n* matrix of spatial locations. - `time`, `day`, `month`, and `year` are *r*-vectors whose *i*th elements respectively give the time, day, month, and year that `data[i, ]` was observed. ... |
format |
Dataset |
author |
Sainsbury-Dale, Matthew |
spellingShingle |
Sainsbury-Dale, Matthew Red Sea surface temperature ... |
author_facet |
Sainsbury-Dale, Matthew |
author_sort |
Sainsbury-Dale, Matthew |
title |
Red Sea surface temperature ... |
title_short |
Red Sea surface temperature ... |
title_full |
Red Sea surface temperature ... |
title_fullStr |
Red Sea surface temperature ... |
title_full_unstemmed |
Red Sea surface temperature ... |
title_sort |
red sea surface temperature ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8134199 https://zenodo.org/doi/10.5281/zenodo.8134199 |
long_lat |
ENVELOPE(-140.683,-140.683,-85.550,-85.550) |
geographic |
Fiedler |
geographic_facet |
Fiedler |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.8134200 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.813419910.5281/zenodo.8134200 |
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1789338697386164224 |