Mixed-phase and ice cloud observations with NIXE-CAPS / von Anja Costa. Wuppertal, 10.04.2017
Inhalt
- Introduction: Mixed-phase and ice clouds
- The NIXE-CAPS instrument: Description and data analysis
- NIXE-CAPS: Instrument description
- Particle asphericity
- NIXE-CAS: Description and verification in AIDA cloud chamber experiments
- NIXE-CIP: Description of the asphericity analysis
- NIXE-CAPS data evaluation
- Sampling volume effects: 'Single particle events'
- Sources of measurement uncertainties
- Classification of mid-level clouds derived from NIXE-CAPS observationsThe contents of this chapter were published in ACP in October 2017 as research paper 'Classification of Arctic, Mid-Latitude and Tropical Clouds in the Mixed-Phase Temperature Regime' costa2017.
- Clouds in the mixed-phase temperature regime
- Field campaigns
- Results and Discussion
- Mpt cloud classification based on particle number size distributions
- Comparison of cloud particle with with ice nuclei numbers
- Mpt cloud classification based on sphericity
- Cloud type detection in the mpt regime
- Mpt cloud classification: Results
- Summary and conclusions
- Simulation of NIXE-CAPS observations during ML-Cirrus using CLaMS-Ice
- Motivation
- Brief description of the ML-Cirrus campaign
- Coupling 3D trajectories with ice microphysics
- CLaMS trajectories
- Microphysical ice cloud simulation in CLaMS-Ice
- Model acceleration by variable time steps
- CLaMS-Ice initialization
- Identification of in-situ and liquid origin cirrus clouds
- Simulations of ML-Cirrus clouds and CLaMS-Ice performance
- Comparing simulations and observations
- Overall model performance
- Model performance, insitu cirrus
- Model performance, liquid origin cirrus
- Case Studies
- Case I: Cold cirrus
- Case II: Sedimentation and high-pressure cirrus
- Case III: Warm conveyor belt: microphysical separation and outflow characteristics
- CLaMS-Ice simulations - Summary
- Outlook - future work on CLaMS-Ice
- Thesis summary and outlook
- Bibliography