Tools for CM SAF NetCDF Data

Documentation for package ‘cmsafops’ version 1.4.1

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cmsafops: A package for analyzing and manipulating CM SAF NetCDF formatted data.

-- A --

acsaf_box_mergetime	Function to combine ACSAF NetCDF files and simultaneously cut a region.
add	Add the fields of two input NetCDF files.
addc	Add a constant to a dataset.
add_grid_info	Add grid info

-- B --

box_mergetime

Function to combine NetCDF files and simultaneously cut a region (and level).

-- C --

calc_allDatesNc	Designed for the CM SAF R Toolbox.
calc_overlapping_time	Routine to calculate overlapping time periods in two files.
calc_timestepNc	Designed for the CM SAF R Toolbox.
cat	Concatenate datasets of several NetCDF input files.
change_att	Change attributes of a NetCDF variable.
check.coordinate.system	Designed for the CM SAF R Toolbox.
cmsaf.abs	Determine absolute values
cmsaf.add	Add the fields of two input NetCDF files.
cmsaf.addc	Add a constant to a dataset.
cmsaf.adjust.two.files	Routine to adjust the time dimensions and coordinates in two files.
cmsaf.cat	Concatenate datasets of several NetCDF input files.
cmsaf.detrend	Linear detrending of time series
cmsaf.div	Divide the fields of two input NetCDF files.
cmsaf.divc	Divide data by a constant.
cmsaf.mk.test	Apply Mann-Kendall trend test.
cmsaf.mul	Multiply the fields of two input NetCDF files.
cmsaf.mulc	Multiply data with a constant.
cmsaf.regres	Estimate regression parameter
cmsaf.stats	Calculates the rmse, mae, bias, correlation in grid space of two NetCDF files. Designed for the CM SAF R Toolbox.
cmsaf.stats.station.data	Calculates the rmse, mae, bias, correlation over time of a NetCDF file and a dataframe (station data). Designed for the CM SAF R Toolbox.
cmsaf.sub	Subtract the fields of two input NetCDF files.
cmsaf.sub.rel	Subtract the fields of two input NetCDF files (relative). Designed for the CM SAF R Toolbox.
cmsaf.subc	Subtract a constant from a dataset.
cmsaf.transform.coordinate.system	Transform the coordinate system to -180 to 180 longitude of an infile
cmsafops	cmsafops: A package for analyzing and manipulating CM SAF NetCDF formatted data.

-- D --

dayavg	Determine daily averages
daymax	Determine daily maxima
daymean	Determine daily means
daymin	Determine daily minima
daypctl	Determine daily percentiles
dayrange	This function determines the diurnal range.
daysd	Determine daily standard deviations
daysum	Determine daily sums
dayvar	Determine daily variances
div	Divide the fields of two input NetCDF files.
divc	Divide data by a constant.
divdpm	Divide by days per month.

-- E --

extract.level	Extract levels from 4-dimensional NetCDF files.
extract.period	Remove a time period.

-- F --

fldcor	Determine correlations in grid space.
fldcovar	Determine covariances in grid space.
fldmax	Determine the spatial maximum
fldmean	Determine the spatial mean
fldmin	Determine the spatial minimum.
fldrange	Determine the spatial range
fldsd	Determine the spatial standard deviation
fldsum	Determine the spatial sum

-- G --

get_basename	Determine the basename of a NetCDF file
get_date_time	Get dates and times from NetCDF type date format.
get_dimensions	Designed for the CM SAF R Toolbox.
get_nc_version	Designed for the CM SAF R Toolbox.
get_processing_time_string	Get processing time string
get_time	Convert time steps to POSIXct.
get_time_info	Designed for the CM SAF R Toolbox.
gridboxmax	Determine maxima of selected grid boxes
gridboxmean	Determine means of selected grid boxes
gridboxmin	Determine minima of selected grid boxes
gridboxrange	Determine ranges of selected grid boxes
gridboxsd	Determine standard deviations of selected grid boxes
gridboxsum	Determine sums of selected grid boxes
gridboxvar	Determine variances of selected grid boxes

-- H --

hourmean	Determine hourly means
hoursum	Determine hourly sums

-- L --

levbox_mergetime

Function to combine NetCDF files and simultaneously cut a region and level.

-- M --

map_regular	Grid interpolation.
mermean	Determine meridional means
mon.anomaly	Determine monthly anomalies
mon.anomaly.climatology	Designed for the CM SAF R Toolbox.
monavg	Determine monthly averages
mondaymean	Determine mean monthly daily variations
monmax	Determine monthly maxima.
monmean	Determine monthly means
monmin	Determine monthly minima
monpctl	Determine monthly percentiles
monsd	Determine monthly standard deviations
monsum	Determine monthly sums
monvar	Determine monthly variance
mon_num_above	Number of timesteps per month above a threshold.
mon_num_below	Number of timesteps per month below a threshold.
mon_num_equal	Number of timesteps per month equal a threshold.
mul	Multiply the fields of two input NetCDF files.
mulc	Multiply data with a constant.
muldpm	Multiply by days per month.
multimonmean	Determine multi-monthly means
multimonsum	Determine multi-monthly sums

-- N --

ncinfo	Get information about the content of a NetCDF file.
num_above	Number of timesteps above a threshold.
num_below	Number of timesteps below a threshold.
num_equal	Number of timesteps equal a threshold.

-- R --

read_file	Designed for the CM SAF R Toolbox.
read_ncvar	Read NetCDF variable.
remap	Grid interpolation.
runmax	Determine running maxima
runmean	Determine running means
runmin	Determine running minima
runrange	Determine running range
runsd	Determine running standard deviation
runsum	Determine running sums

-- S --

seas.anomaly	Determine seasonal anomalies.
seasmean	Determine seasonal means
seassd	Determine seasonal standard deviations
seassum	Determine seasonal sums
seasvar	Determine seasonal variances
sellonlatbox	Select a region by longitude and latitude.
selmon	Extract a list of months.
selperiod	Extract a list of dates.
selpoint	Extract data at a given point.
selpoint.multi	Extract data at multiple points.
seltime	Extract specific timestep.
selyear	Extract a list of years.
sub	Subtract the fields of two input NetCDF files.
subc	Subtract a constant from a dataset.

-- T --

timavg	Determine all-time average.
timcor	Determine correlations over time.
timcovar	Determine covariances over time.
timcumsum	Accumulate data of NetCDF file.
timmax	Determine all-time maxima.
timmean	Determine all-time mean.
timmin	Determine all-time minima.
timpctl	Determine percentile over all timesteps.
timsd	Determine all-time standard deviations.
timselmean	Determine time selection means
timselsum	Determine time selection sums
timsum	Determine all-time sum.
trend	Determine linear trends.
trend_advanced	Determine multiple linear trends.

-- W --

wfldmean

Determine the weighted spatial mean.

-- Y --

ydaymax	Determine multi-year daily maxima
ydaymean	Determine multi-year daily means.
ydaymin	Determine multi-year daily minima
ydayrange	Determine multi-year daily range
ydaysd	Determine multi-year daily standard deviations
ydaysum	Determine multi-year daily sums
ydrunmean	Determine multi-year daily running means.
ydrunsd	Determine multi-year daily running standard deviations
ydrunsum	Determine multi-year daily running sums
year.anomaly	Determine annual anomalies.
yearmax	Determine annual maxima
yearmean	Determine annual means
yearmin	Determine annual minima
yearrange	Determine annual range
yearsd	Determine annual standard deviation
yearsum	Determine annual sums
yearvar	Determine annual variance
ymonmax	Determine multi-year monthly maxima.
ymonmean	Determine multi-year monthly means.
ymonmedian	Determine multi-year monthly medians.
ymonmin	Determine multi-year monthly minima.
ymonsd	Determine multi-year monthly standard deviations.
ymonsum	Determine multi-year monthly sums.
yseasmax	Determine multi-year seasonal maxima.
yseasmean	Determine multi-year seasonal means.
yseasmin	Determine multi-year seasonal minima.
yseassd	Determine multi-year seasonal standard deviations.

-- Z --

zonmean	Determine zonal means
zonsum	Determine zonal sums