Through incremental integration and independent research and development, build a method library of big data quality control, automatic modeling and analysis, data mining and interactive visualization, form a tool library with high reliability, high scalability, high efficiency and high fault tolerance, realize the integration and sharing of collaborative analysis methods of multi-source heterogeneous, multi-granularity, multi-phase, long-time series big data in three pole environment, as well as high Efficient and online big data analysis and processing.
Use ensemble dressing to post-process weather forecasts, then combine multiple model forecasts by regression.
Installation: N/A;
Execution: after compiling;
Input: weather forecasts;
QR code:
2019-10-18 326 View Details
Fit Bayesian model average (BMA) model to correct the bias in each forecast and combine multiple forecasts.
Installation: N/A;
Execution: after compiling;
Input: weather forecasts;
QR code:
2019-10-19 503 View Details
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