An Object-Based Approach for Quantification of GCM Biases of the Simulation of Orographic Precipitation. Part II Quantitative Analysis

• Published in: Journal of climate Vol. 28; no. 12; pp. 4863 - 4876
• Main Authors: Yorgun, M. Soner, Rood, Richard B.
• Format: Journal Article
• Language: English
• Published: Boston American Meteorological Society 15.06.2015
• Subjects: Analogs; Analysis; Atmospheric models; Atmospheric research; Bias; Boundaries; Classification; Climate; Climate models; Cluster analysis; Clustering; General circulation models; Identification; Intercomparison; Meteorology; Methods; Modeling; Modelling; Mountains; Orographic precipitation; Perceptual localization; Physics; Precipitation; Quantitative analysis; Rain; Simulation; Simulations; Spectroscopic analysis; Studies; Vector quantization; Weather forecasting; United States > US; Nevada

An object-based evaluation method is applied to the simulated orographic precipitation for the idealized experimental setups using the National Center of Atmospheric Research (NCAR) Community Atmosphere Model (CAM) with the finite volume (FV) and Eulerian spectral transform dynamical cores with vary...