CIRRUS-HL-campaign-codes---Code-accompanying-dissertation

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.