GhcnDailyUpdate: Update Observation Data from GHCN(Global Historical...
In rSQM: Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping
Description
Usage
Arguments
Examples
View source: R/GhcnDailyUpdate.R
Description
When user does not have own observation dataset, one can download it from GHCN. However, not recommended since NA values are too many.
Usage
1
GhcnDailyUpdate(NtlCode, stndir, syear_obs, eyear_obs)
Arguments
NtlCode
2 digit country(national) code, EnvList$NtlCode
stndir
directory where downloaded data from GHCN located, EnvList$stndir
syear_obs
start year of observation, EnvList$syear_obs
eyear_obs
end year of observation, EnvList$eyear_obs
Examples
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5
## Not run:
## You can download observation data of Myanmar(MY) from 1969 to 2005 into current working directory
GhcnDailyUpdate(NtlCode="MY", stndir=getwd(), syear_obs=1969, eyear_obs=2005)
## End(Not run)
rSQM documentation built on May 2, 2019, 4:14 a.m.
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Description Usage Arguments Examples
View source: R/GhcnDailyUpdate.R
Description
When user does not have own observation dataset, one can download it from GHCN. However, not recommended since NA values are too many.
Usage
1 | GhcnDailyUpdate(NtlCode, stndir, syear_obs, eyear_obs)
|
Arguments
NtlCode |
2 digit country(national) code, EnvList$NtlCode |
stndir |
directory where downloaded data from GHCN located, EnvList$stndir |
syear_obs |
start year of observation, EnvList$syear_obs |
eyear_obs |
end year of observation, EnvList$eyear_obs |
Examples
1 2 3 4 5 | ## Not run:
## You can download observation data of Myanmar(MY) from 1969 to 2005 into current working directory
GhcnDailyUpdate(NtlCode="MY", stndir=getwd(), syear_obs=1969, eyear_obs=2005)
## End(Not run)
|
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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