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Quantile mapping


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  • Institute : Ashoka Trust for research in Ecology and Environment
  • Programming language : Matlab
Quantile mapping
« on: March 26, 2018, 04:55:56 PM »
Dear All,

I am trying to do statistical downscale precipitation of CMIP5 GCM output using Bias correction(quantile mapping) Spatial disaggregation method (with reference to a paper(attached)). I have following doubt:

1. In this method, is it okay to use only one GCM output predictor variable (precipitation) instead of group of predictor variables such as geopotential height, u-wind, v-wind etc?

2. After selecting predictor variable, should we divide the data for each month and perform analysis?

3. In the paper, it was mentioned that for each day we have to find moving window of +/- 15 days and then find CDF. Can anybody guide me how to perform this and find cdf ?

I am little confused. Please guide me..

With Regards
Ashwathi V K