ECMWF data for analysing smoked-charged vortices after the 2019-2020 Australian wildfires

<p>The dataset contains GRIB2 files produced from the operational IFS model and assimilation system of the European Centre for Medium Range Weather Forecast (ECMWF).</p> <p>OPZLWDA2020mmdd-SH.grd files contain log of surface pressure, zonal wind, meridional wind, temperature, relative vorticity and ozone mixing ratio for the 137 levels of the model on a 1&deg;x1&deg; grid in the southern hemisphere for the long window analysis at 6UTC and 18UTC every day from 1st January 2020 to 31 March 2020.</p> <p>OPZFCST2020mmdd-SH.grd files contain log of surface pressure, temperature, relative vorticity&nbsp; and ozone mixing ratio&nbsp;for the 137 levels of the model on a 1&deg;x1&deg; grid in the southern hemisphere every day for the 10-day forecast run starting at 00UTC every four days from 7 January 2020 to&nbsp;&nbsp;31 March 2020.</p> <p>For basic access, these files are readable using python tools. The package pygrib available under conda-forge is recommended. The eccode library that allows read from C or Fortran is freely available from ECMWF and is installed along pygrib. Reading with eccode library&nbsp;is also possible in C and Fortran.</p> <p>A simple reader using pygrib is provided.&nbsp;</p> <p>Dedicated packages for the project are available on github/bernard-legras/STC/STC-Australia with dependencies in&nbsp;github/bernard-legras/STC/STC/pylib. The package that reads and process ECMWF data is&nbsp;github/bernard-legras/STC/STC/pylib/ECMWF_N.py. This package needs setup modification to discover the files where they have been copied.</p> <p>All requirements should be made to bernard.legras@lmd.ipsl.fr</p>