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Data set for "Prior weight dilution in Bayesian model averaging"


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Created: May 21, 2022 at 1:47 p.m.
Last updated: Jul 07, 2023 at 7:50 a.m.
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Sharing Status: Public
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Abstract

Data set for "Prior weight dilution in Bayesian model averaging" includes two parts: (1) data used for the three case studies, a synthetic groundwater flow model case, e.g., the recharge of river boundary; a real-world snowmelt runoff model case, e.g., the runoff data, and the temperature data; and a real-world groundwater model case, e.g., the groundwater head observation; (2) data used for plotting the Figures, e.g., Figure 16, Figure 18, Figure 20, and Figure 22.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Tizinafu River
North Latitude
37.1218°
East Longitude
82.3914°
South Latitude
36.4355°
West Longitude
81.1830°

Temporal

Start Date:
End Date:

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Key Research and Development Program of China 2020YFC1807000
National Natural Science Foundation of China 42072272

How to Cite

Zeng, X. (2023). Data set for "Prior weight dilution in Bayesian model averaging", HydroShare, http://www.hydroshare.org/resource/e88ae6ca0dd24277888e3b5be093680e

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

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

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