Published July 11, 2023 | Version v1
Dataset Open

Red Sea surface temperature

  • 1. University of Wollongong

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 spatio-temporal conditional extremes using INLA and Gaussian Markov random fields. *Extremes*, to appear.

- Simpson, E. S. and Wadsworth, J. L. (2021). Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures. *Spatial Statistics*, 41(100482).

Notes

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. 

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