eurec4a 0.0.6

common utilities for analysing data from the EUREC4A field campaign

EUREC4A python tools

This package aims to be a small collection of useful tools for the analysis of EUREC4A. There has been some discussion if this package should exist at all, because it might lead to a lock-in into python regarding the ease of use of EUREC4A-data and also many of the tools we are developing and using should not be EUREC4A exclusive. Thus, at least for now, we try to keep this package fairly minimal.

usage

The package provides a few function to obtain data from the eurec4a field campaign, use it as follows:

In [1]: import eurec4a

obtaining informations about flights and segments

In [2]: flightinfo = eurec4a.get_flight_segments()

In [3]: flightinfo["HALO"]["HALO-0119"]["takeoff"]
Out[3]: datetime.datetime(2020, 1, 19, 9, 34, 25)

accessing public datasets via the intake data catalog

In [6]: cat = eurec4a.get_intake_catalog()

In [7]: cat.radiosondes.ronbrown.to_dask()
Out[7]:
<xarray.Dataset>
Dimensions:      (alt: 3100, nv: 2, sounding: 329)
Coordinates:
  * alt          (alt) int16 0 10 20 30 40 50 ... 30950 30960 30970 30980 30990
    flight_time  (sounding, alt) datetime64[ns] dask.array<chunksize=(83, 775), meta=np.ndarray>
    lat          (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    lon          (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    sounding_id  (sounding) |S1000 dask.array<chunksize=(165,), meta=np.ndarray>
Dimensions without coordinates: nv, sounding
Data variables:
    N_gps        (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    N_ptu        (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    alt_bnds     (alt, nv) int16 dask.array<chunksize=(3100, 2), meta=np.ndarray>
    ascent_flag  (sounding) int16 dask.array<chunksize=(329,), meta=np.ndarray>
    dp           (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    dz           (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    launch_time  (sounding) datetime64[ns] dask.array<chunksize=(329,), meta=np.ndarray>
    m_gps        (sounding, alt) int16 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    m_ptu        (sounding, alt) int16 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    mr           (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    p            (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    platform_id  (sounding) int16 dask.array<chunksize=(329,), meta=np.ndarray>
    q            (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    rh           (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    ta           (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    theta        (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    u            (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    v            (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    wdir         (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
    wspd         (sounding, alt) float32 dask.array<chunksize=(83, 1550), meta=np.ndarray>
Attributes:
    Conventions:      CF-1.7
    acknowledgement:  The MPI-M is listed as the institute of first contact. ...
    campaign_id:      EUREC4A
    created_on:       Fri Jun 26 11:12:20 2020
    created_with:     batch_interpolate_soundings.py with its last modificati...
    doi:              10.25326/62
    featureType:      trajectory
    instrument:       Radiosonde RS41-SGP by Vaisala
    instrument_id:    Vaisala-RS
    platform_id:      RonBrown
    references:       Stephan et al. (2020): Ship- and island-based atmospher...
    title:            EUREC4A level 2 sounding data
    version:          v2.2.0