Real Weather Radar Data Doppler Processing to retrieve Radial Wind and Raindrop Size Distribution (DSD) Parameters

DOI:10.4121/22fa342a-250a-4c1f-9dfd-9f0f5555ce52.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: 10.4121/22fa342a-250a-4c1f-9dfd-9f0f5555ce52
Datacite citation style:
Dash, Tworit; Krasnov, Oleg; Driessen, Hans; Yarovoy, Alexander (2025): Real Weather Radar Data Doppler Processing to retrieve Radial Wind and Raindrop Size Distribution (DSD) Parameters. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22fa342a-250a-4c1f-9dfd-9f0f5555ce52.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This repository contains the data acquired from the MESEWI weather radar at the Delft University of Technology for Doppler processing. It contains MATLAB code for estimating the raindrop size distribution (DSD) parameters (sub-optimal estimates) and the radial mean wind and turbulence parameters. In addition to the DSD estimates, this code can generate the Plan Position Indicator (PPI) plots for terminal fall velocity and median diameter as a function of range and azimuth. This novel estimator can make use of these incoherent radar fast scans to estimate the parameters.


The MESEWI radar is an X-band azimuthally scanning radar at TU Delft, Netherlands. The data folder contains the data for several azimuthal radar scans at an elevation of 30 degrees from the ground level. The code files are in the folder Production4TURD. Details of the code repository can be found in the README.pdf file.

History

  • 2025-02-04 first online, published, posted

Publisher

4TU.ResearchData

Format

MATLAB/ .m, .mat, Figures/ .fig, .pdf, .emf

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics, Section of Microwave Sensing, Signals & Systems

DATA - restricted access

Reason

The dataset and code provided in this submission are protected under intellectual property rights owned by the original authors. To ensure proper recognition and to protect the intellectual contributions of the authors, access to these files is restricted. Users must request access and agree to the conditions outlined below.

End User Licence Agreement

End User Licence Agreement

License Agreement Terms:

  1. Usage Rights: The dataset and code can only be accessed by users who have been granted explicit permission. Users must submit a request to gain access and explain the purpose of their use.
  2. Citation Requirement: Users granted access to the dataset and code must properly cite the original authors’ paper and any related code when using, publishing, or disseminating results derived from this data or software. The citation should follow the format provided by the authors.
  3. Non-Commercial Use: The dataset and code are to be used strictly for non-commercial research purposes unless explicit permission for commercial use is obtained from the authors.
  4. Redistribution: Users are not permitted to redistribute the dataset or code in any form. Any parties interested in using the dataset or code must follow the same request process outlined here.
  5. Modifications: Any modifications to the code or derived datasets must also be accompanied by appropriate citations and must acknowledge the original authors.
  6. Reporting Results: Users are encouraged to share their findings with the original authors and, where applicable, collaborate on publishing results.

By accessing and using the dataset and code, users agree to abide by these terms. Failure to comply may result in the revocation of access and potential legal action.

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