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| Created: | May 21, 2022 at 1:47 p.m. | |
| Last updated: | Jul 07, 2023 at 7:50 a.m. | |
| Citation: | See how to cite this resource |
| 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.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Key Research and Development Program of China | 2020YFC1807000 | |
| National Natural Science Foundation of China | 42072272 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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