Spatial and Temporal Bayesian Hierarchical Model Over Large Domains with Application to Holocene Sea Surface Temperature Reconstruction in the Equatorial Pacific [Dataset]


Authors:
Owners: Alvaro Ossandon
Type: Resource
Storage: The size of this resource is 1.0 MB
Created: Jul 25, 2024 at 3:31 p.m.
Last updated: Jul 25, 2024 at 8:13 p.m. (Metadata update)
Published date: Jul 25, 2024 at 8:09 p.m.
DOI: 10.4211/hs.ee6c09de183f40b6941374ecba52048c
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This dataset is used as input for implementing a space-time Bayesian hierarchical model (BHM) to reconstruct annual Sea Surface Temperature (SST) during the Holocene over a large domain based on SST at limited proxy locations in the equatorial (10°N-10°S) Pacific. The dataset consists of 2° gridded annual mean SST between 1854 and 2014, the paleo proxy SST data from 28 locations, locations of spatial knots, and the location of points used to calibrate the model.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
10.0000°
East Longitude
-70.0000°
South Latitude
-10.0000°
West Longitude
180.0000°

Temporal

Start Date: 05/01/1854
End Date: 04/30/2014
Leaflet Map data © OpenStreetMap contributors

Content

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Additional Metadata

How to Cite

Ossandon, A. (2024). Spatial and Temporal Bayesian Hierarchical Model Over Large Domains with Application to Holocene Sea Surface Temperature Reconstruction in the Equatorial Pacific [Dataset], HydroShare, https://doi.org/10.4211/hs.ee6c09de183f40b6941374ecba52048c

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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