tams.load_example_mpas

tams.load_example_mpas#

tams.load_example_mpas()#

Load the example MPAS dataset.

This is a spatial and variable subset of native MPAS output, Furthermore, it has been regridded to a regular lat/lon grid (0.25°) from the original 15-km mesh.

After regridding, it was spatially subsetted so that lat ranges from -5 to 40°N and lon from 85 to 170°E. This domain relates to the PRECIP field campaign (load_mpas_precip()).

It has tb (estimated brightness temperature) and precip (precipitation rate, derived by summing the MPAS accumulated grid-scale and convective precip variables rainnc and rainc and differentiating).

tb was estimated using the (black-body) Stefan–Boltzmann law:

\[E = \sigma T^4 \implies T = (E / \sigma)^{1/4}\]

where \(E\) is the OLR (outgoing longwave radiation, olrtoa in MPAS output) in W m-2 and \(\sigma\) is the Stefan–Boltzmann constant.

This dataset contains 127 time steps of hourly data: 2006-09-08 12 – 2006-09-13 18.

Return type:

xarray.Dataset