A ground‐based multisensor cloud phase classifier

By Matthew Shupe. 2007

177 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3bc29d43fa545175d2f6e5cbeb37926a86796cc5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Hugh Morrison
2. Ulrike Lohmann
3. Richard G. Forbes
4. M. Ahlgrimm
5. M. Krämer
6. S. Abel
7. A. Solomon
8. P. Persson

In Global and Planetary Change

1. Hugh Morrison
2. Ulrike Lohmann
3. M. Krämer
4. S. Abel
5. Richard G. Forbes
6. M. Ahlgrimm
7. A. Solomon
8. P. Persson

Citations in the corpus

• Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters (2015, background): “logical conditions with high vertical and temporal resolution (Illingworth et al., 2007; Shupe, 2007; Ansmann et al., 2009; de Boer et al., 2011; Schmidt et al., 2014).”
• Review of (2006, background): “We need strong efforts of continuous, long-term 50 observations of aerosols and clouds around the globe by means of active remote sensing with cloud radar and aerosol/cloud lidar (Shupe, 2007) at well-equipped super sites such as the Atmospheric Radiation Measurment (ARM) sites in Oklahoma (Feingold”
• Mixed-Phase Clouds: Progress and Challenges (2017, methodology): “Shupe (2007) presented a method for classifying cloud phase from a suite of ground-based sensors.”
• Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion (2011, methodology): “First, a cloud phase classification (Shupe, 2007) was used to determine the vertical distribution of cloud phase.”
• On the Representation of High-Latitude Boundary Layer Mixed-Phase Cloud in the ECMWF Global Model (2014, methodology): “The cloud water content shown here is derived using the Shupe–Turner algorithm (Shupe 2007; Turner 2007) and the 60-s in-cloud water content profiles have been averaged for each hour.”
• Evidence of liquid dependent ice nucleation in high‐latitude stratiform clouds from surface remote sensors (2011, methodology): “This classification and thresholds used are presented by Shupe [2007] .”