Spatial and Temporal Bayesian Hierarchical Model Over Large Domains with Application to Holocene Sea Surface Temperature Reconstruction in the Equatorial Pacific [Dataset]
Authors: | |
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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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Views: | 405 |
Downloads: | 11 |
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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.
Subject Keywords
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 |
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End Date: | 04/30/2014 |












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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.
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