# Data for publication 'Inferring the Controlling Factors of Ice Aggregation from Targeted Cloud Seeding Experiments' > **Authors:** Huiying Zhang , Fabiola Ramelli, Christopher Fuchs , Nadja Omanovic , Anna J. Miller , Robert Spirig, Zhaolong Wu , Yunpei Chu , Xia Li, Ulrike Lohmann , and Jan Henneberger > **Affiliation:** ETH Zurich > **Contact:** huiying.zhang@env.ethz.ch ## 📄 Overview This repository contains post-processed cloud microphysics measurements from the **CLOUDLAB 2023** campaign. The dataset focuses on ice crystal properties, aggregation processes, riming and irregularity diagnostics, and associated environmental and dynamical conditions. All time-resolved statistics are recorded at **1-second resolution**, where each row represents an aggregated observation at a specific second within a given experiment (`time_label`). --- ## 📂 Repository Structure ```text . ├── README.md ├── cloudlab2023_ice_properties_postprocessed.csv ├── merged_with_edr_postprocessed.csv ├── merged_with_edr_irregular_postprocessed.csv └── merged_with_edr_rimed_postprocessed.csv ```` --- ## 📑 File Descriptions ### 1️⃣ `cloudlab2023_ice_properties_postprocessed.csv` **Particle-level ice crystal properties** * Contains **individual ice crystal measurements** derived from image-based processing. * Each row corresponds to **one detected ice particle**. * Includes detailed geometric, morphological, and texture-related descriptors (e.g. size, aspect ratio, perimeter statistics, phase-related features). * Intended for **particle-scale analysis** or custom re-aggregation. ⚠️ **Note** This file is **not second-averaged** and is generally **not required** for bulk microphysical or aggregation-rate analysis unless particle-level diagnostics are needed. **Key identifiers** * `time_id` * `time_label` * `class` (e.g. `Column_aged`) * `num_objects` --- ### 2️⃣ `merged_with_edr_postprocessed.csv` **Core second-level microphysics dataset (recommended main file)** * Second-averaged statistics aggregated from particle-level measurements * Merged with turbulence (EDR) and environmental variables * This is the **primary dataset** for most analyses Each row represents **one second within one experiment**. --- ### 3️⃣ `merged_with_edr_irregular_postprocessed.csv` **Second-level dataset with irregular ice diagnostics** * Extension of `merged_with_edr_postprocessed.csv` * Includes diagnostics related to **irregular ice monomers** **Additional variables** * `irregular_monomers`: Number of irregular monomers * `irregular_ice_count`: Number of ice particles containing at least one irregular monomer --- ### 4️⃣ `merged_with_edr_rimed_postprocessed.csv` **Second-level dataset with riming diagnostics** * Extension of `merged_with_edr_postprocessed.csv` * Includes statistics related to rimed ice particles **Additional variables** * `rimed_monomers`: Number of rimed monomers * `rimed_ice_count`: Number of ice particles containing at least one rimed monomer --- ## 🔑 Key Variables (Second-Level Files) ### ⏱ Identifiers & Time * `time`: Observation timestamp (1-second resolution) * `time_label`: Experiment label (e.g. `SM048`) * `Time_gps`: GPS time --- ### ❄️ Ice Crystal Properties * `avg_ice`: Mean ice crystal number * `num_ice_original`: Initial ice crystal count (at seeding time) * `num_agg_events`: Number of ice aggregation events * `asprat_mean`: Mean aspect ratio * `majsiz_mean`: Mean major-axis length (m) * `majsiz_std`: Standard deviation of major-axis length * `majsiz_large_fraction`: Fraction of crystals larger than 200 μm * `majsiz_cov`: Coefficient of variation of major-axis length * `ice_volume`: Total ice volume (cm³) * `ice_con`: Ice crystal number concentration (cm⁻³) --- ### 💧 Water-Related Properties * `water_content`: Cloud water content (g m⁻³) * `water_meanD`: Mean droplet diameter (m) * `water_concentration`: Droplet number concentration (cm⁻³) * `background_water_concentration`: Background droplet concentration (cm⁻³) * `background_water_content`: Background liquid water content (g m⁻³) --- ### 🌡 Environmental & Dynamical Conditions * `resi_time_remsens_s`: Residence time from seeding to measurement site (s) * `seed_distance`: Distance between seeding and measurement sites (m) * `seed_temp_degC`: Ambient temperature (°C) * `ICNC_origin`: Initial ice crystal number concentration (cm⁻³) * `R_agg`: Ice aggregation rate (cm⁻³ s⁻¹) * `EDR (m^2 s^-3)`: Eddy Dissipation Rate (turbulence intensity) --- ## 📌 Usage Recommendations * **General microphysics & aggregation analysis** → `merged_with_edr_postprocessed.csv` * **Irregularity-related studies** → `merged_with_edr_irregular_postprocessed.csv` * **Riming-related studies** → `merged_with_edr_rimed_postprocessed.csv` * **Particle-level morphology analysis** → `cloudlab2023_ice_properties_postprocessed.csv` --- ## 📎 Notes * All number concentrations are reported in **cm⁻³** unless otherwise stated. * Aggregation rates are reported in **cm⁻³ s⁻¹**. * Variable names are kept consistent across second-level files to facilitate comparison. --- ## 📬 Contact For questions regarding data processing or usage, please contact the dataset author. ```