Comparing Forecast Skill
By T. Delsole, Michael K. Tippett. 2014
58 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/04cec3d8b1e1b3885809d31f93f68d56590185d1
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
- Michael K. Tippett
- T. Delsole
- K. Pegion
- L. Trenary
- Francisco J. Doblas-Reyes
- David B. Stephenson
- A. Barnston
- Tim N. Palmer
In Global and Planetary Change
- Michael K. Tippett
- T. Delsole
- K. Pegion
- L. Trenary
- Francisco J. Doblas-Reyes
- David B. Stephenson
- A. Barnston
- Tim N. Palmer
Citations in the corpus
- Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis (2017, methodology): “DelSole and Tippett (2014) show that commonly used statistical tests for comparing skill of climate forecasts make the questionable assumption that the competing forecasts are independent.”
- Predictability of Week-3–4 Average Temperature and Precipitation over the Contiguous United States (2017, methodology): “Two standard measures of skill are mean square error (MSE) and correlation r. Significance tests for skill based on mean square error have been discussed by DelSole and Tippett (2014), while those based on correlation are standard.”