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Mv=double(ncreadatt(oid,'/prate','missing_value')) Offset = ncreadatt(oid,'/prate','add_offset')
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Scale = ncreadatt(oid,'/prate','scale_factor') Oid = '/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/' Pcolorm(Nlt,Nlg,sst(:,:,1)) % pseudocolor plot "stretched" to the grid %Plot the SST data using the MATLAB Mapping ToolboxĪxesm('eqdcylin','maplatlimit','maplonlimit',) % Create a cylindrical equidistant map Load coast hold on plot(long,lat) plot(long+360,lat) hold off Pcolor(Nlg,Nlt,sst(:,:,1)) shading interp %Plot the SST data without using the MATLAB Mapping Toolbox Mv=ncreadatt(oid,'/sst','missing_value') Oid='/thredds/dodsC/Datasets/noaa.ersst/' % does not handle udunits, so time coordinate typically needs to be modified for use in MATLAB.Įval() % Warning: this reads in variables and assigns them to the same variable name in MATLAB as in the netcdf file % MATLAB script to inquire about variable names and read in all variables
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Forįor the MEXNC interface to netCDF files. NetCDF support is built in for versions MATLAB 7.7 and beyond. MATLAB MATLABĪnd interactive environment w/extensive plotting and numerical processingĪvailable. The modular CDAT subsystems provide access to theĭata, to large-array numerical operations (via Numerical Python), and visualization. Python provides a general purpose and full-featured scripting language with a variety of user interfaces including command-line interaction, stand-alone scripts (applications) and graphical user interfaces (GUI). The power of the system comes from Python and its ability to seamlessly interconnect software. Subsystems and packages thus forming an integrated environment for solving model diagnosis problems.
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It uses an object-oriented scripting language to link together separate software Ncrcat 85.nc 86.nc 87.nc 88.nc 89.nc 8589.ncĬoncatenates the 4 files along the record (time in this case) dimension and creates one single fileĬDAT CDAT Climate Data Analysis Tools (CDAT) is a software system designed to provide access to and management of gridded climate data. These tools are a powerful and easy way to perform simple manipulations on netCDF files without a major programming effort. The operators are primarily designed to aid manipulation and analysis of gridded scientific data. The operators take netCDF or HDF4 files as input, then perform a set of operations (e.g., deriving new data, averaging, hyperslabbing, or metadata manipulation) and produce a netCDF file as output. Each operator is a standalone, command line program which is executed at the UNIX (or NT) shell-level like, e.g., ls or mkdir. Plot=gsn_csm_contour_map_ce(wks, slp(0, :, :), False) create a default ce plotįor unpacked files in our collection, the line with "short2flt" in it shouldįurther examples of NCL use are available.Ī (free) suite of programs that operate on netCDF files. Wks =gsn_open_wks("ps", "slp_ce") open a "x11", "ps" or "ncgm" file Here is a sequence of commands that should work:
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It's free and available for Mac, Windows or Linux.įiles as well. It plots maps and zonal averages and is easy to use. Panoply Panoply is a GUI netCDF data viewer from NASA/GISS. Java desktop application that can create graphical displays and The Times tab of the Data Subset panel in the lower right portion of Time, choose the field and display type you want by clicking on them.Īlternatively, you can select the times for a particular variable in Steps and are too large to load all at once.) After you select the (Many PSL data sets have thousands of time Predefined options, or select the starting time and Shift-click on theĮnd time of the range you want.
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You can right click on the times to get some The Properties dialog, click off the checkbox "Use Default". To select timesįor the entire dataset, right-click on the data source name Ĭlick on Properties in the pop-up menu that appears. You can subset the times for the entireĭataset or an individual display. Once it is loaded the data source appears in the Which is linked from the main IDV catalog in theĬatalog Chooser under Community Data Servers. Publicly available PSL datasets are available through the PSL THREDDS catalog
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