Anomaly-based Weather Map Post-processing System Based on Numerical Weather Precliction Model Products in Guangdong
Multi-model numerical products have become the primary information source in short-term weather forecasting.To extract information on different types of weather systems,the anomaly-based weather map post-processing system based on the European Center global model product has been developed by Peking University.In this study,the anomaly-based weather map post-processing system was implemented in the Guangdong Regional Model(CMA-GD)product.Given that the CMA-GD model is non-hydrostatic and may have certain systematic biases,we proposed a basic scheme that better estimates the weather anomaly signals from the regional model forecast data.This paper details the localized anomaly-based weather map post-processing system,and demonstrates an example of tropical cyclone forecast based on the system outputs.The results show that the anomalous weather map generated based on the localized system can show finer spatio-temporal characteristics,especially the non-hydrostatic features.The presented system can help forecasters understand the anomaly-based weather analysis approach and be familiar with its application in daily weather forecast operations and weather process review summaries.
Guangdong model productsanomaly weather mappost-processing systemCMA-GDCMA-TRAMS
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