Climate Model Evaluation

Model Evaluation Overview
Under Construction! The Climate Data Guide project is seeking support to develop a Climate Model Evaluation Guide. We will promote a systematic approach to model evalaution, utilizing state-of-the-art data sets and statistical practices. Constraining numerical models with observations can lead to significant model performance improvements, though the pathway from data-model comparisions to... more
CMIP (Climate Model Intercomparison Project) Overview
The CMIP is a standard experimental framework for studying the output of coupled atmosphere-ocean general circulation models. This facilitates assessment of the strengthsand weaknesses of climate models which can enhance and focus the development of future models. For example, if the models indicate a wide range of values either regionally or globally, then scientists may be able to determine the... more
Common Spectral Model Grid Resolutions
Models which use spherical harmonics are called 'spectral models'.Spectral models have some advantages and disadvantages. An ECMWF workshop tutorial (which is no longer available online) stated the following: (a) Advantages Space derivatives calculated exactly. Non-linear quadratic terns calculated without aliasing (if computed in spectral space or using the quadratic grid). For a given... more
Model Configurations
Generally, a 'model configuration' refers to the: horizontal resolution and type of grid (e.g., rectilinear, curvilinear, nodes) vertical resolution and coordinate (e.g., pressure, height/depth, hybrid, eta, sigma, stc.) physics employed time stepping scheme method used to formulate the equations (e.g., finite difference, spectral, finite volume, finite element, ...) boundary and initial... more
obs4MIPS Datasets and Documentation
This page provides a summary of Obs4MIPs and ana4MIPs datasets, with links to download the data from the Earth System Grid Federation (ESGF), as well as links to documentation on the Climate Data Guide.  Generally, Obs4MIPs provides satellite-derived data while ana4MIPs provides global fields of variables that are not well-observed by satellites.  The ana4MIPs data are from atmospheric reanalysis.