A Linear Model of Wintertime Low-Frequency Variability. Part I: Formulation and Forecast Skill

By Christopher R. Winkler, Matthew Newman, P. Sardeshmukh. 2001

136 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3e48777543f11418805000c0507edd2dce95f3ab

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Citations in the corpus

Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability (2005, background): “Some progress in achieving this goal has recently been made in the realm of so-called empirical climate models , by relaxing the requirement of a strict closure and assuming that errors may be treated as spatially coherent noise, that is, white in time (Penland 1989; Winkler et al. 2001).”
Reconciling Non-Gaussian Climate Statistics with Linear Dynamics (2009, methodology): “Procedures for estimating these matrices directly from data, as well as for testing the validity of (1), are called linear inverse modeling (Penland 1989) and are discussed in detail in Penland and Ghil (1993), Penland and Matrosova (1994), Penland and Sardeshmukh (1995), and Winkler et al. (2001).”
Climate Response Using a Three-Dimensional Operator Based on the Fluctuation–Dissipation Theorem (2007, methodology): “…pointed out that the concept of the fluctuation–dissipation theorem considered in our paper is different from the concept of fluctuation–dissipation relation (FDR) used in a number of papers devoted to linear inverse modeling (e.g., Penland 1989; Penland and Sardeshmukh 1995; Winkler et al. 2001).”
A Hierarchy of Data-Based ENSO Models (2005, methodology): “LIMs have shown some success in predicting ENSO (Penland and Sardeshmukh 1995; Johnson et al. 2000a,b), tropical Atlantic variability (Penland and Matrosova 1998), as well as extratropical atmospheric variability (Winkler et al. 2001).”
The global response to tropical heating in the Madden–Julian oscillation during the northern winter (2004, background): “These processes were not represented in the model used here, even though they are important on these time scales (Winkler et al. 2001).”
Review of Tropical‐Extratropical Teleconnections on Intraseasonal Time Scales (2017, background): “…(see Hamill & Kiladis, 2014; Scaife et al., 2017; Vitart & Molteni, 2010; Vitart, 2014; Wu et al., 2016 for recent examples) and re-forecasts made with statistical models, in particular the Linear Inverse Model (LIM), (e.g., Newman et al., 2003; Pegion & Sardeshmukh, 2011; Winkler et al., 2001).”
Low-Order Stochastic Mode Reduction for a Realistic Barotropic Model Climate (2005, methodology): “In most previous studies about stochastic climate modeling it is argued that the added additive noise accounts for the neglected nonlinear interactions and the forcing (Newman et al. 1997; Winkler et al. 2001).”