This archive contains Gulfstream-V dropsonde data from OTREC
(Organization of Tropical East Pacific Convection, 2019), 3DVar
analyses based on the dropsonde data, HIAPER Cloud Radar data from the
G-V flights in somewhat reduced format, and lightning data from the
GOES Lightning Mapper in the OTREC region for each of the G-V flights.
Since much of the data are presented in Candis format, the Candis data
analysis package is included.  This requires a C compiler, Python3,
and the Google Go compiler. (Go can easily be obtained for most
modern computer systems.  Candis only works on UNIX or LINUX --
since MacOS is based on UNIX, it also can be used.  Candis doesn't
work on Windows.)

The first step (after untarring this package) is to untar the Candis
distribution and follow instructions provided.  Candis files can also
be translated into NetCDF files if desired, using uniput in the Candis
distribution.  After untarring, change to the candis/utils directory
and type "make".  Then change to the candis/unidata directory and type
"make".  For this step you will need to have a NetCDF package
installed on your computer.  Then type "make install" to put uniget
and uniput into your bin directory.  This way you can skip compiling
and installing the complete Candis distribution.

Here are more detailed data descriptions.  OTREC data are organized by
G-V flights.  The date of flights is specified in year-month-day
(yyyymmdd) format, e.g., 20190816.  Each date subdirectory contains
the individual dropsonde data in both NetCDF (.nc) and Candis (.cdf)
formats.

Each date directory contains also a "boxXX" subdirectory where XX
depends on the particular flight pattern flown.  In this subdirectory
you will find a 3DVar analysis file named "merge-1.cdf".  This file
contains gridded meteorological data from a three-dimensional
variational analysis of dropsonde data.

The file "ppiplot.pdf" shows the track of the G-V and the contour plot
shows the vertically integrated moisture convergence (mrsrc) from the
3DVar analysis.  Positive convergence identifies areas in which strong
convection is found.  Strong negative convergence can indicate
decaying stratiform convection.  Some but not all of the plots contain
lightning information as well as thicker G-V track segments showing
regions highlighted for special analysis.

The file "hcr.cdf" contains HIAPER Cloud Radar vertical profiles of
radar data below the aircraft, showing particle vertical velocity (wt)
and reflectivity (dbz).  These data have been decimated in time and
height (1 s and 200 m) for presentation purposes.

Going back to the main directory, the subdirectory "lightning"
contains GLM lightning data for each G-V flight day for the OTREC area
and roughly the time segment of the flight.  This is given both in
ascii and Candis format.