Application of regularised optimal fingerprinting to attribution. Part I: method, properties and idealised analysis

By Aurélien Ribes, S. Planton, L. Terray. Climate Dynamics, 2013

227 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/328a4d2193c8aab2c0aa0b2d829663973bd61ca6

How researchers see this paper

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

In Economics and Econometrics

1. Philippe Naveau
2. Gabriele C. Hegerl

In Global and Planetary Change

1. F. Zwiers
2. A. Friedman
3. Ed Hawkins
4. Jean-Marc Azaïs
5. Philippe Naveau
6. C. Iles
7. T. Cowan
8. Aurélien Ribes

Citations in the corpus

• Causes of climate change over the historical record (2019, background): “(e.g.Hasselmann1997,Ribes et al2013): = + ( )y Xa u. 1 This equation assumes that forcings superimpose linearly.”
• A new statistical approach to climate change detection and attribution (2016, methodology): “This is referred to as the Total Least Squares approach (TLS, see Allen and Stott 2003; Ribes et al. 2013).”
• The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation (2020, unknown): “Climatology Detecting trends in average global temperature through the optimal fingerprinting method (Ribes et al., 2013).”