Data assimilation(DA)is a technique that integrates multisource observational data with numerical models to enhance simulation accuracy and optimize data utilization.Its core principle involves correcting biases in mo...Data assimilation(DA)is a technique that integrates multisource observational data with numerical models to enhance simulation accuracy and optimize data utilization.Its core principle involves correcting biases in model simulations using observational data while automatically selecting the most reliable observations.In essence,DA employs mathematical techniques to refine simulations,ensuring they reflect real-world measurements more accurately.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.42125502)the National Key Research and Development Program of China(Grant No.2024YFF0807903)。
文摘Data assimilation(DA)is a technique that integrates multisource observational data with numerical models to enhance simulation accuracy and optimize data utilization.Its core principle involves correcting biases in model simulations using observational data while automatically selecting the most reliable observations.In essence,DA employs mathematical techniques to refine simulations,ensuring they reflect real-world measurements more accurately.