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The Canadian Centre for Climate Modelling and Analysis (CCCma) is part of the Climate Research Division of Environment Canada and is located at the University of Victoria, Victoria, British Columbia.
Parameterization in an atmospheric model (either weather model or climate model) is a method of replacing processes that are too small-scale or complex to be physically represented in the model by a simplified process. This can be contrasted with other processes—e.g., large-scale flow of the atmosphere—that are explicitly resolved within ...
Multi-model ensembles (MMEs) are widely used in IPCC assessments, and a comprehensive collection of climate models can be accessed in the Coupled Model Intercomparison Project. Members of a multi-model ensemble are developed by different organisations involved in climate change research and can differ substantially in their software design and ...
Regional Ocean Modeling System (ROMS) is a free-surface, terrain-following, primitive equations ocean model widely used by the scientific community for a diverse range of applications. The model is developed and supported by researchers at the Rutgers University , University of California Los Angeles and contributors worldwide.
The model predicts an Equilibrium Climate Sensitivity of 1.9 °C, at the lower end of the range of GCM predictions. The model's surface temperature distribution is overly-symmetric, and does not represent the northern bias in location of the Intertropical Convergence Zone. The model generally shows lower skill at low latitudes.
The main goal of PCMDI is to develop improved methods and tools for the diagnosis and intercomparison of general circulation models (GCMs). [1] PCMDI is the canonical resource for a number of model intercomparison projects, including the Atmospheric Model Intercomparison Project (AMIP), Coupled Model Intercomparison Project (CMIP), Seasonal Prediction Model Intercomparison Project (SMIP), Aqua ...
Climate charts provide an overview of the climate in a particular place. The letters in the top row stand for months: January, February, etc. The bars and numbers convey the following information: The blue bars represent the average amount of precipitation (rain, snow etc.) that falls in each month.
Its software design assumes a physical/dynamical component of the climate system and, as a freely available community model, is designed to work on a variety of machine architectures powerful enough to run the model. [3] The CESM codebase is mostly public domain with some segregable components issued under open source and other licenses. [4]