Datasets to PhD thesis: Assessing the Potential of Cirrus Cloud Thinning through Cloud Chamber Experiments and Parcel Model Simulations
Abstract (englisch):
The provided dataset includes all relevant data to comprehend and reproduce the PhD work of Tobias Schorr with the title "Assessing the Potential of Cirrus Cloud Thinning through Cloud Chamber Experiments and Parcel Model Simulations" (DOI: 10.5445/IR/1000168905).
The AIDA cloud chamber data contains a unique experimental investigation of the competition between homogeneous and heterogeneous freezing at cirrus conditions (< 230 K).
The climate engineering concept of "cirrus cloud thinning" (CCT) is modeled with the box model MAID and the initialization files as well as result summary tables are provided within the dataset.
The AIDA cloud chamber data contains a unique experimental investigation of the competition between homogeneous and heterogeneous freezing at cirrus conditions (< 230 K).
The climate engineering concept of "cirrus cloud thinning" (CCT) is modeled with the box model MAID and the initialization files as well as result summary tables are provided within the dataset.
| Zugehörige Institution(en) am KIT | Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF) |
| Publikationstyp | Forschungsdaten |
| Publikationsdatum | 11.03.2024 |
| Erstellungsdatum | 20.03.2017 - 13.12.2023 |
| Identifikator | DOI: 10.35097/1956 KITopen-ID: 1000169127 |
| HGF-Programm | 12.11.26 (POF IV, LK 01) Aerosol-Cloud-Climate-Interaction |
| Lizenz | Creative Commons Namensnennung 4.0 International |
| Projektinformation | SPP 1689; TP: AWiCiT (DFG, DFG KOORD, LE 834/7-1) |
| Schlagwörter | climate engineering, geoengineering, solar radiation management, radiation management, SRM, cloud chamber, aerosol chamber, ice nucleation, cirrus, cirrus clouds, cirrus thinning, cirrus cloud thinning, cloud seeding, aerosol, cloud microphysics, AIDA, MAID, box model, parcel model |
| Liesmich | The contained files and their handling is closer explained in the file |
| Art der Forschungsdaten | Dataset |
| Relationen in KITopen | |
| Referent/Betreuer | Leisner, Thomas Steinke, Isabelle |