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5.1 Predicting Air Quality: Current Status and Future Directions

机译:5.1预测空气质量:现状和未来方向

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Air quality prediction plays an important role in the management of our environment. As more atmospheric chemical observations become available chemical data assimilation is expected to play an essential role in air quality forecasting. In this paper the current status of air quality forecasting is discussed and illustrated by comparison of predictions with observations. The future directions are also discussed, with an emphasis on data assimilation. Applications of the four dimensional variational method (4D-Var) and the ensemble Kalman filter (EnKF) approach are presented and discussed.
机译:空气质量预测在环境管理中起着重要作用。随着更多的大气化学观测变得可用,化学数据的同化将在空气质量预测中发挥重要作用。本文通过比较预测结果和观察结果来讨论和说明当前空气质量预报的状况。还讨论了未来的方向,重点是数据同化。提出并讨论了四维变分方法(4D-Var)和集成卡尔曼滤波(EnKF)方法的应用。

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