how to select predictors for statistical downscale? Because the downscale output did not give peak values and zero values as in the Predictand Series. Please anyone knows this I need a kind help to solve this for my research
You can refer to this paper too..
http://onlinelibrary.wiley.com/doi/10.1002/joc.4772/full
Hi there,
Please see the following steps.
1. First select the study domain over which the predictor data shows highest spatial correlation with predictand.
2. Forward and backward multiple regression between observational data and potential predictors using 6-7 leading EOF of predictors. Check the p-value for individual predictors.
3. To validate the results downscale the predictand using best predictor and compare the downscaled signal as well as correlation (Scatter plot) with predictand.
I have following question. My research topic is evaluation of future climate change of selected river basin.
First I have calibrated and validated the precipitation and temperature for NCEP data set. Then to evaluate future climate am I want to screen the predictors again for A2 & B2 scenarios or can I use the same predictors which I have selected in NCEP to calibrate A2 and B2 Models?
Please be kindly give me an answer for this. Because I have used the same .PAR file to scenario generation with A2 & B2 obtained by NCEP Calibration.
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