Utilities for reading Chilbolton radar data and Vaisala lidar ceilometer data
Version 1.0
Copyright (C) 2000, 2001 Robin Hogan
This documentation describes how to use various UNIX utilities for
reading, processing and plotting Chilbolton-format radar data,
Chilbolton FFT data, Chilbolton netCDF data and Vaisala lidar
ceilometer data.
Introduction
Unix utilities
Chilbolton-format radar data
- chilinfo: reports basic information on
a radar file; useful in shell scripts
- makesum: for creates radar summary files
- chilnoise: calculates the noise levels
or the PHIDP offset of scanning data
The following programs, as well as the matlab function
loadchil below, share many of the same command line options.
- chilplot: plots radar data in png or
eps format
- chil2a: processes radar data and outputs
it as ascii
- chil2nc: processes radar data and
outputs it as netCDF
Chilbolton FFT data
- cfft2nc: converts Chilbolton FFT data
(profiles of Doppler spectra) to netCDF
- fftplot: plots Chilbolton FFT data
Vaisala ceilometer data
- ceilplot: plots lidar data in png or
eps format
- ceil2nc: converts lidar data to
netCDF
Chilbolton netCDF data (radar and lidar)
- chilncplot: for plotting radar or
lidar netCDF data in png or eps format
Note that chilncplot replaces cloudncplot
which operated only on cloud data.
- profilencplot: for
plotting profiles of lidar or cloud radar netCDF data in png or eps
format
- chilunfold: for unfolding
Doppler radar data in netCDF
Matlab utilities
- loadchil: a `mex' program for reading
processed radar data directly into matlab
- loadceil: a `mex' program for reading
lidar data directly into matlab
Development
- libchil: C library for reading and
processing Chilbolton-format radar data
- libceil: C library for reading and
basic processing of Vaisala lidar ceilometer data
- rplot: C++ library for producing
raster images, used by chilplot
The latest version of the code should be available from http://www.met.rdg.ac.uk/radar/software.html. If
you have suggestions, queries or bug reports then please address them
to Robin Hogan
(R.J.Hogan@reading.ac.uk),
Department of Meteorology, University of Reading, UK.