Correction of ‘Estimating observation impact without adjoint model in an ensemble Kalman filter’
Correction of ‘Estimating observation impact without adjoint model in an ensemble Kalman filter’
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DOI：
10.1002/qj.658
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发表时间：
2010-07
影响因子：
8.9
通讯作者：
Hong Li;Junjie Liu;E. Kalnay
中科院分区：
文献类型：
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作者：
Hong Li;Junjie Liu;E. Kalnay
为了估计观测对减小预报误差的影响，Liu和Kalnay(2008)提出的集合敏感度方法被证明有微小的误差，并在这里得到修正。修正后的公式较好地反映了实际预测误差的减小，消除了原公式在估计中引入的正偏差。版权所有(C)2010皇家气象学会
The ensemble sensitivity method proposed by Liu and Kalnay (2008) to estimate the impact of observations on reducing forecast error is shown to have a slight error and is corrected here. The corrected formula captures the actual forecast error reduction better and removes the positive bias in the estimation introduced by the original formula. Copyright © 2010 Royal Meteorological Society