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README.md
In rSQM: Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping
rSQM
The goal of rSQM is to Conducts statistical downscaling of daily CMIP5 (Coupled Model Intercomparison Project 5) climate change scenario data at a station level using empirical quantile mapping method by Jaepil Cho et al. (2016) "Climate Change Impacts on Agricultural Drought with Consideration of Uncertainty in CMIP5 Scenarios".
Example
Run function 'rSQMSampleProject()' and see what happens. And reading vignette is also recommanded.
Try the rSQM package in your browser
Any scripts or data that you put into this service are public.
rSQM documentation built on May 2, 2019, 4:14 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
rSQM
The goal of rSQM is to Conducts statistical downscaling of daily CMIP5 (Coupled Model Intercomparison Project 5) climate change scenario data at a station level using empirical quantile mapping method by Jaepil Cho et al. (2016) "Climate Change Impacts on Agricultural Drought with Consideration of Uncertainty in CMIP5 Scenarios".
Example
Run function 'rSQMSampleProject()' and see what happens. And reading vignette is also recommanded.
Try the rSQM package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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