“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang
This study employs the K-means clustering algorithm to partition warm-season precipitation in Zhejiang Province into distinct regions. A frequency matching bias correction method is then applied to enhance the spatial and temporal accuracy of the objective consensus forecasting (OCF) 0.05° × 0.05° m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/adme/8828095 |
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