CloudBrake wind measurement flights on three cumulus days

DOI:10.4121/18614102.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/18614102
Datacite citation style:
Christian Mallaun; Stephan Rahm; Benjamin Witschas; Louise Nuijens (2022): CloudBrake wind measurement flights on three cumulus days. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18614102.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

724
views
273
downloads

Geolocation

Germany, various locations specified in lat and lon measurements.

Time coverage

Three case studies on 24 May, 27 May and 4 June 2019

Licence

CC BY 4.0

This dataset contains the data from three CloudBrake dual-aeroplane flights executed by the Deutsches Zentrum für Luft- und Raumfahrt (DLR) in Munich. The Falcon aeroplane flew at constant altitude carrying a downward looking Doppler Wind Lidar, from which we obtained a wind profile for the east-west, north-south and up-down component and also provided as wind speed and wind (from) direction as is the meteorological standard. These netcdf files have the format yyyymmdd_L2.nc The authors are Stephan Rahm and Benjamin Witschs.


A second airplane flew in the mixed-layer, near cloud base, in the cloud layer and at cloud top and took in-situ measurements at 100 Hz, of among others the three wind components, temperature and humidity. The netcdf files are named in the following format: fldr_yyyymmdd_LEG##.nc. Author is Christian Mallaun


Flight reports are written during flight by Louise Nuijens.


The dataset can be found on the  OPeNDAP  server:   

History

  • 2022-05-23 first online, published, posted

Publisher

4TU.ResearchData

Format

netcdf

Funding

  • EU Horizon 2020 Starting Grant Agreement 714918

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Civil Engineering and Geosciences, Atmospheric Remote Sensing; Deutsches Zentrum für Luft- und Raumfahrt

DATA

Files (3)