Cloud Coverage Based on All-Sky Imaging and Its Impact on Surface Solar Irradiance

By G. Pfister, R. McKenzie, J. Liley, A. Thomas, B. Forgan, C. Long. 2003

278 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0912325df6c8dc5ea2fcf00593c9a6da05eb4d00

How researchers see this paper

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

In Artificial Intelligence

1. Anand Srivastav
2. A. Macke
3. Anna Heinle

In Global and Planetary Change

1. David Pagès
2. Josep Calbó
3. J. Sabburg
4. C. Long
5. Martin Wild

Citations in the corpus

• Retrieving Cloud Characteristics from Ground-Based Daytime Color All-Sky Images (2006, methodology): “2) cloudiness amount described in Pfister et al. (2003) has been refined and adapted for application to TSI data (Long 2005).”
• Automatic cloud classification of whole sky images (2010, background): “Therefore, as a cost-effective alternative, a few research insti- 15 tutions in several countries have developed non-commercial sky cameras for their own requirements (Pagès et al., 2002; Seiz et al., 2002; Pfister et al., 2003; Souza-Echer et al., 2006; Kalisch and Macke, 2008).”