Simple nonparametric techniques for exploring changing probability distributions of weather

By C. Ferro, Abdelwaheb Hannachi, David B. Stephenson. 2005

108 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5401a5e0bde68bc5304ff21e94056386da1881dd

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. Maurizio Maugeri
2. C. Simolo
3. A. Speranza
4. Michele Brunetti
5. T. Nanni
6. I. Watterson

In Global and Planetary Change

1. Maurizio Maugeri
2. C. Simolo
3. A. Speranza
4. Michele Brunetti
5. T. Nanni
6. I. Watterson

Citations in the corpus

• Calculation of probability density functions for temperature and precipitation change under global warming (2008, background): “[61] Exponential relationships are commonly considered in statistics, of course [e.g., Yamane, 1967], and do feature in climate studies [e.g., Ferro et al., 2005 ].”
• Understanding climate change-induced variations in daily temperature distributions over Italy (2010, methodology): “In these cases, the annual number of events ensures a reliable trend analysis over 50 years [Klein Tank and Konnen, 2003], and empirical (model‐free) techniques are adequate [ Ferro et al., 2005 ].”