The aim of this git repository is collect tools and ideas for characterising the atmospheric environment during the EUREC4A field campaign.
See below for how to work with the module or the list of variables that are (being) implemented
Depending on whether you want to a) just use the module or b) contribute
to it you can either install with pip directly or check out a copy
locally and make that available in your PYTHONPATH
eurec4a_environment isn't yet on pipy, but you can install it directly
from github:
pip install git+https://https://github.com/eurec4a/eurec4a-environment#egg=eurec4a_environmentTo develop on eurec4a_environment you'll need to make a local copy by cloning
this repository. The best thing is to create your own fork first (so you can
push your branches to there and make pull-requests from there) and then clone
that
-
Create your own fork of
eurec4a_environment -
Clone your fork to your local computer
$> git clone https://github.com/{your-github-username}/eurec4a-environment- Install your local copy with pip in developer
mode
(so that any changes you make to the source-code locally will be available
when you import
eurec4a_environment). Make sure to have the python environment active that you want to install this module into:
$> cd eurec4a-environment
$> pip install --editable .NOTE: The tables below are likely out-of-date (but will be updated at the end of the hackathon), see the project document for a more up-to-date list and discussion.
(could be averaged over flight, full-circle, single sounding etc)
| variable | description | definition | data sources | implementation |
|---|---|---|---|---|
| h_BL | boundary layer depth | numerous definitions (add links) | thermodynamic profiles | |
| h_CB | cloud-base height | numerous definitions (add links) | thermodynamic profiles | |
| SST | sea surface temperature | - | ship observations (?), ERA reanalysis | |
| EIS | estimated inversion strength | ? | thermodynamic profiles | |
| LTS | lower tropospheric stability | ? | thermodynamic profiles | |
| PW | precipitable water | ? | thermodynamic profiles | |
| FT humidity | free tropospheric humidity | ? | thermodynamic profiles | |
| "wind speed" | lower tropospheric wind magnitude? | - | horizontal wind profiles | |
| "wind shear" | lower tropospheric wind shear magnitude? | - | horizontal wind profiles | |
| z_INV | "inversion height" (multiple?) | ? | thermodynamic profiles | |
| ? | "mesoscale organisation category" | fish/flower/sugar/gravel | satellite observations | |
| I_org | mesoscale organisation | Tompkins & Semie 2017 | thresholded cloud-field measurement, for example cloud-top height | https://github.com/leifdenby/convorg |
| SCAI | mesoscale organisation | Tobin et al 2012 | thresholded cloud-field measurement, for example cloud-top height | https://github.com/leifdenby/convorg |
| LHF | latent heat flux | Modified COARE algorithm | thermodynamic profiles + surface instruments | |
| SHF | sensible heat flux | Modified COARE algorithm | thermodynamic profiles + surface instruments | |
| SBF | surface buoyancy flux | Modified COARE algorithm | thermodynamic profiles + surface instruments |
| variable | short-hand | observation sources |
|---|---|---|
| qt(z) | total water vertical profile | JOANNE + radiosondes |
| dQdt_r(z) | radiative cooling profiles | radiative transfer calculations based on moisture and temperature profiles (Products/Radiative Profiles/all_rad_profiles.nc on AERIS) |
| theta_v(z) | virtual potential temperature profile | JOANNE + radiosondes |
| u(z) | zonal wind profile | JOANNE + radiosondes, wind lidars |
| v(z) | meridonal wind profile | JOANNE + radiosondes, wind lidars |
| w(z) | vertical wind profile | Lidars, radars (?) |
| W(z) | large-scale vertical velocity profile | JOANNE |