Dear All,
Can anybody hep me how to improve the model output by using observations (mast data). I have done like this. 1) I have done wrf calculations and have mast data for the same location. And compared the Time series and Correlation. The WRF following same trend like Observations and 0.6 correlation between them.
2) Based on both data, calculated Slope, Intercept and apply these two parameters to wrf data (y=mx+c) and this modified WRF data again compared with Observations, there is no improvement in correlation and also not following the trend.
So I need to get best correlation than earlier comparison and needs to followed the trend like observation data. How can I improve it? Any Suggestions Welcome.
Thanks & regards,
Malleswararao M
Thank you Luka, Its very useful paper you have shared with me.
Please find two papers Refsgaard et al., (2012)( DOI 10.1007/s11027-012-9366-6) and Madsen et al., (2012) [M. Sloth Madsen, C. Fox Maule, N. MacKellar, J.E. Olesen & J. Hesselbjerg Christensen (2012): Selection of climate change scenario data for impact modelling, Food Additives & Contaminants: Part A, DOI:10.1080/19440049.2012.712059] related to the use of RCM information for impacts modeling. This can help to tackle uncertainties in climate model. In particular the paper by Madsen et al. (2012) describes the weather generator approach. The other paper hopefully can serve as an inspiration when it comes to inform about uncertainties.
Mouhamed
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