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I am now using multiple parameters kalman filter to remove the systematic error of the output from the numerical weather prediction model. when applying kalman filter to the wind forecast, there is high error if pressure is included to be the predictors. I would like to know if there any limitation for kalman filter or pressure is not suitable to included into kalman filter to do postprocessing???

p.s. pressure is in Pa

I tried to convert them to hPa and also subtract them by 1000 but still the error is so large, up to 1000Pa.

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# Problem on kalman filter

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