The doi 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: 10.4121/34ee4130-d189-42ec-aa64-9a310ea2912b

De La Torre Castro, Elena; Lucke, Johannes; Kirschler, Simon; Märkl, Raphael (2024): CIRRUS-HL campaign codes - Codes accompanying dissertation. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/34ee4130-d189-42ec-aa64-9a310ea2912b.v1

Software

• Aerospace Engineering
• Climate and Climate Change
• Atmosphere and Weather
• Engineering
• Environment

Airborne measurements, Background aerosol, Backward trajectories, Cirrus clouds, CIRRUS-HL campaign, Cloud Droplet Probe, Cloud Imaging Probe, Combination probes, Microphysical properties, Precipitation Imaging Probe

25/06/2021-28/07/2021

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Elena De La Torre Castro , Johannes Lucke , Simon Kirschler , Raphael Märkl

This repository provides codes relevant for the data analysis and key plots generation of the dissertation it accompanies: "Microphysical properties and interplay of natural cirrus, contrail cirrus and aerosol at different latitudes" by Elena De La Torre Castro

The data it handles consists of cirrus ice particle in situ measurements performed during the CIRRUS-HL campaign in June and July 2021 with the german research aircraft HALO. It includes the microphysical properties of these cirrus measurements.

It also combines this data with the backward trajectories from the air masses, in order to analyse the cloud properties according to their cloud history and formation location. Further data from aerosol in situ measurements,

simulations of aerosol and ice particle properties, nitrogen oxides (NOy) measurements and reference measurements from the aircraft systems.

The cloud particle data was obtained with a combination of cloud probes: Cloud Droplet Probe (CDP), Cloud Imaging Probe (CIPG), and Precipitation Imaging Probe (PIP). In this repository, the method to obtain a combined particle size distribution is included.

For that purpose, example files of one flight are provided in the campaign dataset. For creating final results plots, combined files of measurements and model data are provided. The required data to use this codes is given in the Data folder of this campaign dataset.

The authors of the data, variables and basic description of the data are included in the corresponding files within the Data folder.

The repository basically containes Python scripts and jupyter notebooks. The particular explanation of each code is provided in this README in the section Structure.

• 2024-09-20 first online, published, posted

4TU.ResearchData

.ipynb, .py

Differences in microphysical properties of cirrus at high and mid-latitudes

• https://doi.org/10.1002/2016GL068922
• https://doi.org/10.26165/JUELICH-DATA/UBNGI2

• German Research Foundation SPP 1294 (grant code SPP 1294) German Research Foundation
• German Research Foundation VO1504/6-1 (grant code VO1504/6-1) German Research Foundation
• German Research Foundation VO1504/7-1 (grant code VO1504/7-1) German Research Foundation
• German Research Foundation VO1504/9-1 (grant code VO1504/9-1) German Research Foundation
• German Research Foundation TRR 301 (grant code TRR 301, project ID 428312742) German Research Foundation

German Aerospace Center, Johannes Gutenberg Universität Mainz;
ETH Zürich;
TU Delft, Faculty of Aerospace Engineering, Department of Control & Operations, Section of Aircraft Noise and Climate Effects