Climate Data Operators: Difference between revisions
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*'''Comparison''' Operators to compare datasets. The resulting field is a mask containing 1 if the comparison is true and 0 if not. | *'''Comparison''' Operators to compare datasets. The resulting field is a mask containing 1 if the comparison is true and 0 if not. | ||
*'''Modification''' Operators to modify the metadata, fields or part of a field in a dataset. | *'''Modification''' Operators to modify the metadata, fields or part of a field in a dataset. | ||
*''' | *'''Arithmetic''' Operators to arithmetically process datasets. Amongst others, one can add, subtract, multiply or divide a constant. The direct processing of fields is also possible. Moreover, time series can similarly be added, subtracted, multiplied or divided. | ||
*'''Statistical values''' Operators to compute statistical values of datasets like minimum, maximum, sum, mean, average, median, variance, standard deviation, percentiles and histograms. | *'''Statistical values''' Operators to compute statistical values of datasets like minimum, maximum, sum, mean, average, median, variance, standard deviation, percentiles and histograms. | ||
*'''Interpolation''' Operators to interpolate datasets. ieren. There are several operators to interpolate horizontal fields to a new grid. Some of those operators can handle only 2D fields on a regular rectangular grid. Vertical interpolation of 3D variables is possible from hybrid model levels to height or pressure levels. Interpolation in time is possible between time steps and years. | *'''Interpolation''' Operators to interpolate datasets. ieren. There are several operators to interpolate horizontal fields to a new grid. Some of those operators can handle only 2D fields on a regular rectangular grid. Vertical interpolation of 3D variables is possible from hybrid model levels to height or pressure levels. Interpolation in time is possible between time steps and years. | ||
Revision as of 08:20, 24 October 2016
about CDO
The Climate data operators (CDO) software is a large collection of operators to analyse and process climate and NWP model data. CDO was developed by Max-Planck-Institut für Meteorologie and is part of the „European Network for Earth System Modelling“ as a free package under GPL terms. CDO has the same set of processing functions for GRIB and NetCDF datasets in one package. Moreover, the Climate Data Interface [CDI] can be used for file format independent access. The local MPI-MET data formats SERVICE, EXTRA and IEG are also supported.
The main CDO features
- More than 700 operators available
- Modular design and easily extendable with new operators
- Very simple UNIX command line interface
- A dataset can be processed by several operators, without storing the interim results in files
- Most operators handle datasets with missing values
- Fast processing of large datasets
- Support of many different grid types
- Tested on many UNIX/Linux systems, Cygwin, and MacOS-X
CDO operators classes
CDO Operators are simple functions which can be grouped in different classes. The relevant operators classes for the BAW are listed and briefly described here (from the official documentation).
- Information Operators to print information about datasets. All operators print there results to standard output.
- File operations Operators to perform operations on files like copy, replace, cat, merge and split.
- Selection Operators to select time steps, fields or a part of a field from a dataset.
- Comparison Operators to compare datasets. The resulting field is a mask containing 1 if the comparison is true and 0 if not.
- Modification Operators to modify the metadata, fields or part of a field in a dataset.
- Arithmetic Operators to arithmetically process datasets. Amongst others, one can add, subtract, multiply or divide a constant. The direct processing of fields is also possible. Moreover, time series can similarly be added, subtracted, multiplied or divided.
- Statistical values Operators to compute statistical values of datasets like minimum, maximum, sum, mean, average, median, variance, standard deviation, percentiles and histograms.
- Interpolation Operators to interpolate datasets. ieren. There are several operators to interpolate horizontal fields to a new grid. Some of those operators can handle only 2D fields on a regular rectangular grid. Vertical interpolation of 3D variables is possible from hybrid model levels to height or pressure levels. Interpolation in time is possible between time steps and years.
- Import/Export Operators to import and export data files which cannot read or write directly with CDO like binaries or ASCII datasets.
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