Learn R Programming

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.

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Version

Install

install.packages('rSQM')

Monthly Downloads

6

Version

1.3.14

License

GPL (>= 2)

Maintainer

Wonil Cho

Last Published

January 12th, 2018

Functions in rSQM (1.3.14)

DailyExtractAll

Extract daily time series
DailyQMapAll

Quantile mapping bias-correction
GhcnDailyUpdate

Update Observation Data from GHCN(Global Historical Climatology Network)
LoadCmip5DataFromAdss

Download clipped national level CMIP5 data
ObsDataSummary

ObsDataSummary
SetWorkingEnvironment

Setting project environment with external yaml file
rSQMSampleProject

function to create simple environment for package tutorial