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Outline
Time-variable gravity field models provide critical data support for monitoring large-scale surface mass changes. However, discrepancies in accuracy exist among models released by different institutions. To fully utilize the advantages of multi-source time-variable gravity field models, this study focuses on weighted fusion methods, investigating various weighting strategies, including variance component estimation (VCE), ocean noise RMS-based weighting, and degree variance-based weighting (incorporating two reference models). Time-variable gravity field models released by eight institutions worldwide, including HUST, were selected for fusion experiments and accuracy assessment. The results indicate: 1) The choice of weighting schemes across different degrees/orders influences the VCE fusion outcomes. When truncated to degree 90, the optimal weighting orders are 70 for GRACE models and 60 for GRACE-FO models. 2) All four weighting fusion schemes enhance model accuracy. Compared to the Tongji model, the pre-filtering degree-variance fusion (using the GOCO06s reference model) reduces ocean noise RMS by up to 23%, while the post-filtering VCE fusion achieves a maximum reduction of 29%. 3) Over six major river basins, the terrestrial water storage trends derived from different time-variable models show good consistency, and the fusion models exhibit higher correlation coefficients with Mascon solutions.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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