[netcdfgroup] netCDF operators NCO version 3.9.8 are ready

The netCDF operators NCO version 3.9.8 are ready.

http://nco.sf.net (Homepage)
http://dust.ess.uci.edu/nco (Homepage "mirror")

This version extends the GSL-library functions supported to
include all GSL random number generator (_rnd) and distribution
function (_cdf and _pdf) routines in GSL Chapters 17 and 19.
A list of ncap2 GSL functions added since 3.9.7 is below.

http://nco.sf.net/nco.html#gsl

Work on 3.9.9 is underway. Areas of improvement include
netCDF4 chunking support, better UDUnits2 time support, and
GSL statistics functions support.

A. See the NCO logo candidate submitted by Tony Freeman?
   What do you think? Should it replace the mandleblob?
   http://nco.sf.net/logo_pch.png

B. Improve ./configure ability to find and work with GSL

E. ncap2 array() function: var_out=array(start,increment,dimension),
   e.g., var_out=array(1,1,$time);

F. ncap2 sort() function improved

G. Remove assumption that DAP means OPeNDAP.
   Configure takes either --enable-dap-opendap or --enable-dap-netcdf
   bld/Makefile takes either DAP_OPENDAP=Y or DAP_NETCDF=Y (untested)

I. UDUnits2 supported by configure --enable_udunits2

J. GSL random number and distribution functions
   ncap2 -v -O -s
'defdim("dmn",100);sigma[dmn]=1.0;var=gsl_ran_gaussian(sigma).sort();nbr_neg=(var<0).total();print(var);print(nbr_neg)'
~/nco/data/in.nc ~/foo.nc

K. Pre-built, up-to-date Debian Sid & Ubuntu Intrepid packages:
   http://nco.sf.net#debian

L. Pre-built Fedora and CentOS RPMs:
   http://nco.sf.net#rpm

M. Find/add NCO tips and tricks on the NCO Wiki (thanks to Tom Roche):

   http://nco.wiki.sourceforge.net

N. Did you try SWAMP (Script Workflow Analysis for MultiProcessing)?
   SWAMP efficiently schedules/executes NCO scripts on remote servers:

   http://swamp.googlecode.com

   SWAMP can work command-line operator analysis scripts besides NCO.
   If you must transfer lots of data from a server to your client
   before you analyze it, then SWAMP may speed things up.
   Try SWAMP give us your feedback.

O. Reminder: NCO support for netCDF4 features is tracked at

   http://nco.sf.net/nco.html#nco4

   NCO currently supports netCDF4 atomic data types and compression.
   NCO 3.9.8 with netCDF4 support should work with HDF5 1.8.1
   and netCDF4 final and newer.

   export NETCDF4_ROOT=/usr/local/netcdf4 # Set netCDF4 location
   cd ~/nco;./configure --enable-netcdf4  # Configure mechanism -or-
   cd ~/nco/bld;./make NETCDF4=Y allinone # Old Makefile mechanism

Enjoy,
Charlie

GSL functions added to ncap2 in 3.9.8: ncap2 -f | grep gsl_[cdf,ran,rng]*
gsl_cdf_beta_P()
gsl_cdf_beta_Pinv()
gsl_cdf_beta_Q()
gsl_cdf_beta_Qinv()
gsl_cdf_cauchy_P()
gsl_cdf_cauchy_Pinv()
gsl_cdf_cauchy_Q()
gsl_cdf_cauchy_Qinv()
gsl_cdf_chisq_P()
gsl_cdf_chisq_Pinv()
gsl_cdf_chisq_Q()
gsl_cdf_chisq_Qinv()
gsl_cdf_exponential_P()
gsl_cdf_exponential_Pinv()
gsl_cdf_exponential_Q()
gsl_cdf_exponential_Qinv()
gsl_cdf_exppow_P()
gsl_cdf_exppow_Q()
gsl_cdf_fdist_P()
gsl_cdf_fdist_Pinv()
gsl_cdf_fdist_Q()
gsl_cdf_fdist_Qinv()
gsl_cdf_flat_P()
gsl_cdf_flat_Pinv()
gsl_cdf_flat_Q()
gsl_cdf_flat_Qinv()
gsl_cdf_gamma_P()
gsl_cdf_gamma_Pinv()
gsl_cdf_gamma_Q()
gsl_cdf_gamma_Qinv()
gsl_cdf_gaussian_P()
gsl_cdf_gaussian_Pinv()
gsl_cdf_gaussian_Q()
gsl_cdf_gaussian_Qinv()
gsl_cdf_gumbel1_P()
gsl_cdf_gumbel1_Pinv()
gsl_cdf_gumbel1_Q()
gsl_cdf_gumbel1_Qinv()
gsl_cdf_gumbel2_P()
gsl_cdf_gumbel2_Pinv()
gsl_cdf_gumbel2_Q()
gsl_cdf_gumbel2_Qinv()
gsl_cdf_laplace_P()
gsl_cdf_laplace_Pinv()
gsl_cdf_laplace_Q()
gsl_cdf_laplace_Qinv()
gsl_cdf_logistic_P()
gsl_cdf_logistic_Pinv()
gsl_cdf_logistic_Q()
gsl_cdf_logistic_Qinv()
gsl_cdf_lognormal_P()
gsl_cdf_lognormal_Pinv()
gsl_cdf_lognormal_Q()
gsl_cdf_lognormal_Qinv()
gsl_cdf_pareto_P()
gsl_cdf_pareto_Pinv()
gsl_cdf_pareto_Q()
gsl_cdf_pareto_Qinv()
gsl_cdf_rayleigh_P()
gsl_cdf_rayleigh_Pinv()
gsl_cdf_rayleigh_Q()
gsl_cdf_rayleigh_Qinv()
gsl_cdf_tdist_P()
gsl_cdf_tdist_Pinv()
gsl_cdf_tdist_Q()
gsl_cdf_tdist_Qinv()
gsl_cdf_ugaussian_P()
gsl_cdf_ugaussian_Pinv()
gsl_cdf_ugaussian_Q()
gsl_cdf_ugaussian_Qinv()
gsl_cdf_weibull_P()
gsl_cdf_weibull_Pinv()
gsl_cdf_weibull_Q()
gsl_cdf_weibull_Qinv()
gsl_ran_bernoulli()
gsl_ran_beta()
gsl_ran_beta_pdf()
gsl_ran_bivariate_gaussian_pdf()
gsl_ran_cauchy()
gsl_ran_cauchy_pdf()
gsl_ran_chisq()
gsl_ran_chisq_pdf()
gsl_ran_erlang()
gsl_ran_erlang_pdf()
gsl_ran_exponential()
gsl_ran_exponential_pdf()
gsl_ran_exppow()
gsl_ran_exppow_pdf()
gsl_ran_fdist()
gsl_ran_fdist_pdf()
gsl_ran_flat()
gsl_ran_flat_pdf()
gsl_ran_gamma()
gsl_ran_gamma_knuth()
gsl_ran_gamma_mt()
gsl_ran_gamma_pdf()
gsl_ran_gaussian()
gsl_ran_gaussian_pdf()
gsl_ran_gaussian_ratio_method()
gsl_ran_gaussian_tail()
gsl_ran_gaussian_tail_pdf()
gsl_ran_gaussian_ziggurat()
gsl_ran_geometric()
gsl_ran_gumbel1()
gsl_ran_gumbel1_pdf()
gsl_ran_gumbel2()
gsl_ran_gumbel2_pdf()
gsl_ran_landau()
gsl_ran_landau_pdf()
gsl_ran_laplace()
gsl_ran_laplace_pdf()
gsl_ran_levy()
gsl_ran_levy_skew()
gsl_ran_logistic()
gsl_ran_logistic_pdf()
gsl_ran_lognormal()
gsl_ran_lognormal_pdf()
gsl_ran_pareto()
gsl_ran_pareto_pdf()
gsl_ran_rayleigh()
gsl_ran_rayleigh_pdf()
gsl_ran_rayleigh_tail()
gsl_ran_rayleigh_tail_pdf()
gsl_ran_tdist()
gsl_ran_tdist_pdf()
gsl_ran_ugaussian()
gsl_ran_ugaussian_pdf()
gsl_ran_ugaussian_ratio_method()
gsl_ran_ugaussian_tail()
gsl_ran_ugaussian_tail_pdf()
gsl_ran_weibull()
gsl_ran_weibull_pdf()
gsl_rng_get()
gsl_rng_max()
gsl_rng_min()
gsl_rng_name()
gsl_rng_uniform()
gsl_rng_uniform_int()
gsl_rng_uniform_pos()

-- 
Charlie Zender, Department of Earth System Science
University of California, Irvine (949) 824-2987 :)



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