clipc:evaluation

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clipc:evaluation [2015-07-14 12:59:12]
andreasd
clipc:evaluation [2022-05-31 09:29:31] (current)
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 {{:clipc:taylor_tasmin.png?direct&600|}} {{:clipc:taylor_tasmin.png?direct&600|}}
  
-Annual and seasonal biases of the raw and bias-corrected for the individual RCM runs are shown here:\\+Overall and seasonal biases of the raw and bias-corrected for the individual RCM runs are shown here:\\
 {{:clipc:bias_pr_EUR-44.pdf|}}\\ {{:clipc:bias_pr_EUR-44.pdf|}}\\
 {{:clipc:bias_tas_EUR-44.pdf|}}\\ {{:clipc:bias_tas_EUR-44.pdf|}}\\
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 {{:clipc:taylor_tasmin_EUR11.png?direct&600|}} {{:clipc:taylor_tasmin_EUR11.png?direct&600|}}
  
-Annual and seasonal biases of the raw and bias-corrected for the individual RCM runs are shown here:\\+Overall and seasonal biases of the raw and bias-corrected for the individual RCM runs are shown here:\\
 {{:clipc:bias_pr_EUR-11.pdf|}}\\ {{:clipc:bias_pr_EUR-11.pdf|}}\\
 {{:clipc:bias_tas_EUR-11.pdf|}}\\ {{:clipc:bias_tas_EUR-11.pdf|}}\\
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 ===== Summary ===== ===== Summary =====
-As expected, the bias-correction method reduces (but does not remove) the seasonal biases and removes the annual biases almost completely for all variables. +As expected, the bias-correction method reduces (but does not remove) the seasonal biases and removes the overall biases almost completely for all variables. 
-The remaining annual biases are due to the use of "only" 101 regularly spaced quantiles to estimate the empirical cumulative distribution functions. +The remaining annual biases are due to the use of "only" 101 quantiles to estimate the empirical cumulative distribution functions within qmap
-The remaining seasonal biases are additionally due to the calibration process which is carried out without splitting into seasons or months.+The additionally remaining seasonal biases are due to the calibration process which is carried out without splitting into seasons or months.
 ---- ----
-//[[andreas.dobler@met.no|Andreas Dobler]] 2015/07/14 12:44//+===== Impact on climate change signal ===== 
 +Within the CHASE-PL project, the same bias-correction method was used but with a different observational data set (for Poland only) and splitting into seasons for calibration.\\ 
 +{{:clipc:cc_pr_POL-05.pdf|Here}} you can see the impact of the method on the mean climate change signal of precipitation for the far (2071-2100) and near (2051-2070) future over Poland for the single models and the ensemble mean. 
 +---- 
 +//[[andreas.dobler@met.no|Andreas Dobler]] 2016/04/28 15:00//
  
  
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