These combined tools, along with others such as the R open-source statistical analysis and plotting software and custom packages (e.g. DV3D), form CDAT and provide a synergistic approach to climate modeling, allowing researchers to advance scientific visualization of large-scale climate data sets. Climate Data Analysis Tools and Methods. The following is by Dennis Shea (NCAR): By definition, climate is the statistics of weather over an arbitrarily defined time span. The methods used to derive the statistical estimates can be simple or very complex. The most common statistic is the average of some variable (eg., temperature). Climate Data Online Data Tools. The following tools allow alternative methods of accessing the data that is available within Climate Data Online. Some of these are visualization only, while others allow different options such as downloads. Each tool is specialized to a specific dataset or use case. Choose one of the data tools below for access.
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