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Can Netcdf Extractor open and convert cordex data?

Yes, It can. There have been significant efforts for a few decades on regional downscaling to aim for producing regional and/or local climate projection as well as expanding scientific understanding on climate processes. In this regards, one of the most important projects is the CORDEX project. The Coordinated Regional Downscaling Experiment (CORDEX) was initiated by the World Climate Research Programme (WCRP) in 2009 in response to the need for a coordinated framework for evaluating and improving regional climate downscaling (RCD) techniques and producing a new generation of RCD-based fine-scale climate projections for identified regions worldwide.

The Coordinated Regional Downscaling Experiment (CORDEX) provides a common framework that consists of 14 continental-scale domains, in which four initiatives belongs to Australasia: CORDEX-South Asia, East Asia, Southeast Asia, and Australia. For each of these areas, there are different RCMs (Regional Climate Models) which present data in different resolutions.

Pay attention to the CORDEX data, It has rotated coordinate. Your challenge will be in the rotation of your coordinate. Besides that, CORDEX has 14 domains and these domains have different rotated-pole in some of CORDEX domain, the regular coordinate is equal to rotated coordinate, such as MNA due to its rotated-pole is (-180, 90) but in some of CORDEX domain, coordinate will change after rotation e,g. SAM, AUS, and WAS. However, you can use Rotation of Coordinates Based On CORDEX Domains for convert non-rotated coordinate to rotated coordinate and vice versa. Corresponding to the forcing data taken from CMIP5, CORDEX experiments have the same names as in the CMIP5 project. Exception is the evaluation experiment, which is forced by reanalysis data.

The NetCDF Extractor can open CORDEX data and as well converts the data of CORDEX to csv, Excel and text. But the big challenge as mentioned recently is the knowing of the grid number. For solving this issue, for using rlat/rlon you have two ways: first, using CORDEX data extractor which is one Agrimetsoft's products, second, you can rotate your coordinate via our free tool Rotation of Coordinates Based On CORDEX Domains , then calculate the grid numbers by rotated coordinates. When you have the grid numbers, then you can apply MATLAB, R, and etc., as well you can use NetCDF Extractor.

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