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

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Type:	Resource
Storage:	The size of this resource is 143.6 KB
Created:	May 21, 2022 at 1:47 p.m. (UTC)
Last updated:	Dec 12, 2024 at 10:15 a.m. (UTC)
Citation:	See how to cite this resource

Sharing Status:	Public
Views:	2292
Downloads:	57
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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 S8, Figure 11, Figure 13, and Figure 15.

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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

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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	None	2020YFC1807000
National Natural Science Foundation of China	None	42072272

How to Cite

Zeng, X. (2024). 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/

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