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Shin-Gan Chen, Chun-Chieh Wu, Jan-Huey Chen, and Kun-Hsuan Chou

to forecast degradation in some cases ( Aberson 2008 ). Targeted observation techniques that have been developed recently roughly fall into two types. One is based on ensemble forecasts, including ensemble deep-layer-mean (DLM) wind variance ( Aberson 2003 ), ensemble transform Kalman filter (ETKF; Bishop et al. 2001 ; Majumdar et al. 2002 ), and ensemble sensitivity using the linear–regression relationship ( Ancell and Hakim 2007 ). The other is based on the adjoint technique, including

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Peter Black, Lee Harrison, Mark Beaubien, Robert Bluth, Roy Woods, Andrew Penny, Robert W. Smith, and James D. Doyle

described in this paper to develop a statistically significant database of actual error specifications derived from laboratory testing. Because laboratory testing is not available at this time, it is impossible to differentiate between pure instrument error and atmospheric variability. Here we seek only to determine the overall variability of the coupled system as a first step toward full analysis of instrument sensitivity and measurement uncertainty. As indicated above, the hundreds of instruments

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