Published January 7, 2022
| Version V1
Dataset
Open
Global Soil Moisture-Air Temperature Interactions from Linear and Nonlinear Granger Causalities
Authors/Creators
- 1. School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China; Department of Geology, Bacha Khan University Charsadda, Pakistan
- 2. School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Description
These datasets were generated to assess linear and nonlinear Granger causalities in the submitted manuscript, Global Soil Moisture-Air Temperature Interactions from Linear and Nonlinear Granger Causalities by Bhatti et al. submitted to AGU-GRL. Nonlinear GC here is achieved with the Kernel Granger causality by Marinazzo et al. (2008). The data was used to develop theoretical experiments that help validate the strengths and limitations of both the linear Granger causality and the Kernel Granger causality before applying to real world datasets
Notes
The manuscript is yet to be peer reviewed. Therefore, the data should be used with caution as review comments could require some changes in the experiment setup.
Files
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