Supplemental Material for "Climate Change Impacts on Soil Moisture and SERDI-Based Drought Assessment Using the ML-NBC Framework"
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2026
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| _version_ | 1866902083687415808 |
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| author | Nury, Ahmad Hasan Joy, Mahfujur Rahman Afroz, Rounak Saim, Abu Sadat Md. |
| author_facet | Nury, Ahmad Hasan Joy, Mahfujur Rahman Afroz, Rounak Saim, Abu Sadat Md. |
| contents | <p>Supplemental Material for "Climate Change Impacts on Soil Moisture and SERDI-Based Drought Assessment Using the ML-NBC Framework."</p> <p>This supplemental material includes additional datasets, figures, and mathematical formulations that support the findings of the manuscript. The content is organized as follows:</p> <p>- <strong>Supplemental Material A: Predictor Variables and Supporting Data:</strong> Describes the predictor variables used during model training, including data from NCEP/NCAR Reanalysis and CMIP6.<br>- <strong>Supplemental Material</strong><strong> B: Mathematical Formulations: </strong>Details the mathematical formulations of machine-learning models (Linear Regression, Random Forest, and Support Vector Regression) as well as the evaluation metrics (R², RMSE, KGE, etc.).<br>- <strong>Supplemental Material </strong><strong>C: Supplemental Figures:</strong> Includes correlation heatmaps, time series plots, and classification plots for different stations (e.g., Cumilla, Dinajpur, Ishwardi, etc.).<br>- <strong>Supplemental Material </strong><strong>D: Supplemental Tables:</strong> Contains consistency statistics and validation performance for NBC-corrected soil moisture across all stations.</p> <p>The supplemental material can be accessed at the following link: [10.5281/zenodo.19372111].</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19372111 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Supplemental Material for "Climate Change Impacts on Soil Moisture and SERDI-Based Drought Assessment Using the ML-NBC Framework" Nury, Ahmad Hasan Joy, Mahfujur Rahman Afroz, Rounak Saim, Abu Sadat Md. <p>Supplemental Material for "Climate Change Impacts on Soil Moisture and SERDI-Based Drought Assessment Using the ML-NBC Framework."</p> <p>This supplemental material includes additional datasets, figures, and mathematical formulations that support the findings of the manuscript. The content is organized as follows:</p> <p>- <strong>Supplemental Material A: Predictor Variables and Supporting Data:</strong> Describes the predictor variables used during model training, including data from NCEP/NCAR Reanalysis and CMIP6.<br>- <strong>Supplemental Material</strong><strong> B: Mathematical Formulations: </strong>Details the mathematical formulations of machine-learning models (Linear Regression, Random Forest, and Support Vector Regression) as well as the evaluation metrics (R², RMSE, KGE, etc.).<br>- <strong>Supplemental Material </strong><strong>C: Supplemental Figures:</strong> Includes correlation heatmaps, time series plots, and classification plots for different stations (e.g., Cumilla, Dinajpur, Ishwardi, etc.).<br>- <strong>Supplemental Material </strong><strong>D: Supplemental Tables:</strong> Contains consistency statistics and validation performance for NBC-corrected soil moisture across all stations.</p> <p>The supplemental material can be accessed at the following link: [10.5281/zenodo.19372111].</p> |
| title | Supplemental Material for "Climate Change Impacts on Soil Moisture and SERDI-Based Drought Assessment Using the ML-NBC Framework" |
| url | https://doi.org/10.5281/zenodo.19372111 |