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September 30, 2025Remote SensingOpen Access

Implementing an Indirect Radar Assimilation Scheme with a 1D Bayesian Retrieval in the Numerical Prediction Model

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Assimilating radar reflectivity improves precipitation forecasts, reducing overforecasting biases.
The 1D Bayesian retrieval method effectively constrains water vapor, enhancing short-term forecasting performance.
Statistical analysis shows significant improvement in forecast scores using the optimized assimilation scheme.
A case study highlights successful results, particularly for precipitation events with higher magnitudes.

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This analysis demonstrates improved precipitation forecast accuracy in a numerical model using radar assimilation and bayesian retrieval methods.

Yin et al. (2025) studied this question.

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This analysis demonstrates improved precipitation forecast accuracy in a numerical model using radar assimilation and bayesian retrieval methods.