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Characterising the atmospheric environment during EUREC4A

Python 14.08% Jupyter Notebook 85.92%

eurec4a-environment's Introduction

Characterising the EUREC4A field campaign environment

eurec4a_environment

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

Working with eurec4a_environment

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

a) Installing with pip

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_environment

b) Cloning and using a local copy

To 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

  1. Create your own fork of eurec4a_environment

  2. Clone your fork to your local computer

$> git clone https://github.com/{your-github-username}/eurec4a-environment
  1. 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 .

Variables, definitions and source data

NOTE: The tables below are likely out-of-date (but will be updated at the end of the hackathon), see the project document for a more up-to-date list and discussion.

Column-based scalars

(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

Profile variables

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

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