Tools for CM SAF NetCDF Data
Function to combine ACSAF NetCDF files and simultaneously cut a region...
Add grid info
Function to combine NetCDF files and simultaneously cut a region (and ...
Designed for the CM SAF R Toolbox.
Routine to calculate overlapping time periods in two files.
Designed for the CM SAF R Toolbox.
Change attributes of a NetCDF variable.
Designed for the CM SAF R Toolbox.
Determine absolute values
Add the fields of two input NetCDF files.
Add a constant to a dataset.
Routine to adjust the time dimensions and coordinates in two files.
Concatenate datasets of several NetCDF input files.
Linear detrending of time series
Divide the fields of two input NetCDF files.
Divide data by a constant.
Apply Mann-Kendall trend test.
Multiply the fields of two input NetCDF files.
Multiply data with a constant.
Estimate regression parameter
Calculates the rmse, mae, bias, correlation in grid space of two NetCD...
Calculates the rmse, mae, bias, correlation over time of a NetCDF file...
Subtract the fields of two input NetCDF files.
Subtract the fields of two input NetCDF files (relative). Designed for...
Subtract a constant from a dataset.
Transform the coordinate system to -180 to 180 longitude of an infile
cmsafops: A package for analyzing and manipulating CM SAF NetCDF forma...
Determine daily averages
Determine daily maxima
Determine daily means
Determine daily minima
Determine daily percentiles
This function determines the diurnal range.
Determine daily standard deviations
Determine daily sums
Determine daily variances
Divide by days per month.
Extract levels from 4-dimensional NetCDF files.
Remove a time period.
Determine correlations in grid space.
Determine covariances in grid space.
Determine the spatial maximum
Determine the spatial mean
Determine the spatial minimum.
Determine the spatial range
Determine the spatial standard deviation
Determine the spatial sum
Determine the basename of a NetCDF file
Get dates and times from NetCDF type date format.
Designed for the CM SAF R Toolbox.
Designed for the CM SAF R Toolbox.
Get processing time string
Designed for the CM SAF R Toolbox.
Convert time steps to POSIXct.
Determine maxima of selected grid boxes
Determine means of selected grid boxes
Determine minima of selected grid boxes
Determine ranges of selected grid boxes
Determine standard deviations of selected grid boxes
Determine sums of selected grid boxes
Determine variances of selected grid boxes
Determine hourly means
Determine hourly sums
Function to combine NetCDF files and simultaneously cut a region and l...
Grid interpolation.
Determine meridional means
Number of timesteps per month above a threshold.
Number of timesteps per month below a threshold.
Number of timesteps per month equal a threshold.
Designed for the CM SAF R Toolbox.
Determine monthly anomalies
Determine monthly averages
Determine mean monthly daily variations
Determine monthly maxima.
Determine monthly means
Determine monthly minima
Determine monthly percentiles
Determine monthly standard deviations
Determine monthly sums
Determine monthly variance
Multiply by days per month.
Determine multi-monthly means
Determine multi-monthly sums
Get information about the content of a NetCDF file.
Number of timesteps above a threshold.
Number of timesteps below a threshold.
Number of timesteps equal a threshold.
Designed for the CM SAF R Toolbox.
Read NetCDF variable.
Grid interpolation.
Determine running maxima
Determine running means
Determine running minima
Determine running range
Determine running standard deviation
Determine running sums
Determine seasonal anomalies.
Determine seasonal means
Determine seasonal standard deviations
Determine seasonal sums
Determine seasonal variances
Select a region by longitude and latitude.
Extract a list of months.
Extract a list of dates.
Extract data at multiple points.
Extract data at a given point.
Extract specific timestep.
Extract a list of years.
Determine all-time average.
Determine correlations over time.
Determine covariances over time.
Accumulate data of NetCDF file.
Determine all-time maxima.
Determine all-time mean.
Determine all-time minima.
Determine percentile over all timesteps.
Determine all-time standard deviations.
Determine time selection means
Determine time selection sums
Determine all-time sum.
Determine multiple linear trends.
Determine linear trends.
Determine the weighted spatial mean.
Determine multi-year daily maxima
Determine multi-year daily means.
Determine multi-year daily minima
Determine multi-year daily range
Determine multi-year daily standard deviations
Determine multi-year daily sums
Determine multi-year daily running means.
Determine multi-year daily running standard deviations
Determine multi-year daily running sums
Determine annual anomalies.
Determine annual maxima
Determine annual means
Determine annual minima
Determine annual range
Determine annual standard deviation
Determine annual sums
Determine annual variance
Determine multi-year monthly maxima.
Determine multi-year monthly means.
Determine multi-year monthly medians.
Determine multi-year monthly minima.
Determine multi-year monthly standard deviations.
Determine multi-year monthly sums.
Determine multi-year seasonal maxima.
Determine multi-year seasonal means.
Determine multi-year seasonal minima.
Determine multi-year seasonal standard deviations.
Determine zonal means
Determine zonal sums
The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).