Reconstructing past temperatures from natural proxies and estimated climate forcings using short-and long-memory models

Keyphrases

• Climate Forcing 100%
• Short Memory 100%
• Long Memory Models 100%
• Long Memory 75%
• Temperature Anomaly 50%
• Temperature Series 50%
• Bayesian Estimation 25%
• Accurate Reconstruction 25%
• External Force 25%
• Correlation Structure 25%
• Additive Noise 25%
• Lines of Evidence 25%
• Single Line 25%
• Systematic Comparison 25%
• Memory Models 25%
• Evaluation Model 25%
• Bayesian Analysis 25%
• Autoregressive Model 25%
• Model Formulation 25%
• Climate Models 25%
• Tree Rings 25%
• Ice Core 25%
• Northern Hemisphere 25%
• Greenhouse Gases Concentration 25%
• Solar Irradiance 25%
• Temperature Proxy 25%
• Expert Evaluation 25%
• Sedimentary Record 25%
• Exploratory Data Analysis 25%
• Memory Feature 25%
• Proxy Data 25%
• Fractional Gaussian Noise 25%
• Greenhouse Gas Forcing 25%
• Credible Interval 25%
• Fifth Assessment Report 25%
• Volcanism 25%
• Statistical Investigation 25%
• Regression Error 25%
• Gaussian Noise Model 25%
• Tree-structured Data 25%
• Transient Climate Response 25%

Mathematics

• Temperature Series 100%
• Bayesian Estimation 50%
• Exploratory 50%
• Correlation Structure 50%
• Linear Models 50%
• Additive Noise 50%
• Autoregressive Model 50%
• Model Formulation 50%
• Credible Interval 50%
• Posterior Sample 50%
• Bayesian Data Analysis 50%
• Regression Error 50%
• Random Noise 50%

Earth and Planetary Sciences

• Climate Forcing 100%
• Greenhouse Gas 66%
• Temperature Anomaly 66%
• Irradiance 33%
• Random Noise 33%
• Ice Core 33%
• Northern Hemisphere 33%
• Climate Modeling 33%
• Model Formulation 33%
• Volcanism 33%
• Tree rings 33%