Objective identification of cloud regimes in the Tropical Western Pacific

By C. Jakob, G. Tselioudis. 2003

207 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b3d925e1e343ff55599b4d307750060ac782e374

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. M. Webb
2. Stephen A. Klein
3. Sandrine Bony
4. Bjorn Stevens
5. M. Zelinka
6. Chris Bretherton
7. D. Hartmann
8. J. Dufresne

In Global and Planetary Change

1. M. Webb
2. Stephen A. Klein
3. Sandrine Bony
4. M. Zelinka
5. Bjorn Stevens
6. Chris Bretherton
7. D. Hartmann
8. J. Dufresne

Citations in the corpus

• GCM intercomparison of global cloud regimes: present-day evaluation and climate change response (2007, methodology): “The ISCCP cloud clustering uses the KMEANS clustering algorithm (Anderberg 1973), as described by Jakob and Tselioudis (2003) .”
• The Tropical Warm Pool International Cloud Experiment (2008, methodology): “Furthermore, similar cloud regimes, as objectively identified from an analysis of International Satellite Cloud Climatology Project (ISCCP) data across the western Pacific by Jakob and Tselioudis (2003) , are seen in Darwin across the tropics (Hoglund 2005).”
• COSP: Satellite simulation software for model assessment (2011, methodology): “There are methodologies that can be used to minimize this problem, that stratify the data into regimes by using compositing (e.g., Bony et al. 2004; Field et al. 2008) or clustering techniques (e.g., Jakob and Tselioudis 2003; Williams and Webb 2009; Zhang et al. 2010).”
• Revealing differences in GCM representations of low clouds (2011, background): “Second is to define regimes as a function of the structure of the clouds themselves (e.g., Jakob and Tselioudis 2003; Williams and Tselioudis 2007).”
• The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6. (2016, methodology): “Clustering approaches (e.g. Jakob and Tselioudis, 2003) are now commonly used for assessing the contributions of different cloud regimes (e.g. stratocumulus, trade cumulus, frontal clouds) to present-day biases in cloud simulations and to inter-model differences in cloud feedbacks (e.g. Williams…”
• How Well Do We Understand and Evaluate Climate Change Feedback Processes (2006, background): “…properties and large-scale dynamics at midlatitudes have been examined (Lau and Crane 1995, 1997; Tselioudis et al. 2000; Norris and Weaver 2001; Jakob and Tselioudis 2003; TR; Lin and Zhang 2004; Norris and Iacobellis 2005), and the relationships between tropical clouds and sea surface…”