A Weather-Type-Based Cross-Time-Scale Diagnostic Framework for Coupled Circulation Models

• DOI: 10.1175/jcli-d-17-0115.1
• Publication Date: 2017-08-07T16:59:42Z
• Authors: Ángel G. Muñoz; Xiaosong Yang; Gabriel A. Vecchi; Andrew W. Robertson; William F. Cooke
• Keywords: Horizontal resolution; Atmospheric Circulation; Misrepresentation; Temporal resolution; Atmospheric models

Abstract This study proposes an integrated diagnostic framework based on atmospheric circulation regime spatial patterns and frequencies of occurrence to facilitate the identification model systematic errors across multiple time scales. To illustrate approach, three sets 32-yr-long simulations are analyzed for northeastern North America March–May season using Geophysical Fluid Dynamics Laboratory’s Low Ocean–Atmosphere Resolution (LOAR) Forecast-Oriented Ocean (FLOR) coupled models; main difference between these two models is horizontal resolution used. Regime-dependent biases explored in light different resolutions under nudging approaches. It found that both exhibit a fair representation observed occurrence, although some present independently or approach associated with misrepresentation troughs centered north Great Lakes deep coastal troughs. Moreover, intraseasonal certain regimes delayed respect observations. On other hand, interexperiment differences mean simulated weather types, their variability scales, tend be negligible. result suggests low-resolution could potential use diagnose predict physical variables via type characteristics.