[runs] ## options related to the run to be analyzed and reference runs to be ## compared against # mainRunName is a name that identifies the simulation being analyzed. mainRunName = GMPAS-DIB-IAF-ISMF.oEC60to30v3wLI # config file for a control run to which this run will be compared. The # analysis should have already been run to completion once with this config # file, so that the relevant MPAS climatologies already exist and have been # remapped to the comparison grid. Leave this option commented out if no # control run is desired. # controlRunConfigFile = /path/to/config/file # config file for a main run on which the analysis was already run to # completion. The relevant MPAS climatologies already exist and have been # remapped to the comparison grid and time series have been extracted. # Leave this option commented out if the analysis for the main run should be # performed. # mainRunConfigFile = /path/to/config/file [execute] ## options related to executing parallel tasks # the number of parallel tasks (1 means tasks run in serial, the default) parallelTaskCount = 12 # the parallelism mode in ncclimo ("serial" or "bck") # Set this to "bck" (background parallelism) if running on a machine that can # handle 12 simultaneous processes, one for each monthly climatology. ncclimoParallelMode = bck [diagnostics] ## config options related to observations, mapping files and region files used ## by MPAS-Analysis in diagnostics computations. # The base path to the diagnostics directory. Typically, this will be a shared # directory on each E3SM supported machine (see the example config files for # its location). For other machines, this would be the directory pointed to # when running "download_analysis_data.py" to get the public observations, # mapping files and region files. baseDirectory = /global/project/projectdirs/acme/diagnostics [input] ## options related to reading in the results to be analyzed # directory containing model results baseDirectory = /global/cscratch1/sd/dcomeau/acme_scratch/cori-knl/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl # subdirectory containing restart files runSubdirectory = run # subdirectory for ocean history files oceanHistorySubdirectory = /global/cscratch1/sd/dcomeau/acme_scratch/cori-knl/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl/archive/ocn/hist # subdirectory for sea ice history files seaIceHistorySubdirectory = /global/cscratch1/sd/dcomeau/acme_scratch/cori-knl/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl/archive/ice/hist # names of ocean and sea ice meshes (e.g. oEC60to30v3, oQU240v3, oRRS30to10v3, etc.) mpasMeshName = oEC60to30v3wLI # names of namelist and streams files, either a path relative to baseDirectory # or an absolute path. oceanNamelistFileName = run/mpaso_in oceanStreamsFileName = run/streams.ocean seaIceNamelistFileName = run/mpassi_in seaIceStreamsFileName = run/streams.seaice [output] ## options related to writing out plots, intermediate cached data sets, logs, ## etc. # directory where analysis should be written baseDirectory = /global/cscratch1/sd/xylar/analysis/test_t_s_diagrams/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl_scatter # provide an absolute path to put HTML in an alternative location (e.g. a web # portal) # htmlSubdirectory = /global/project/projectdirs/acme/www/USERNAME/RUNNAME htmlSubdirectory = html # a list of analyses to generate. Valid names can be seen by running: # ./run_mpas_analysis --list # This command also lists tags for each analysis. # Shortcuts exist to generate (or not generate) several types of analysis. # These include: # 'all' -- all analyses will be run # 'all_' -- all analysis with a particular tag will be run # 'all_' -- all analyses from a given component (either 'ocean' # or 'seaIce') will be run # 'only_', 'only_' -- all analysis from this component or # with this tag will be run, and all # analysis for other components or # without the tag will be skipped # 'no_' -- skip the given task # 'no_', 'no_' -- in analogy to 'all_*', skip all analysis # tasks from the given compoonent or with # the given tag. Do # ./run_mpas_analysis --list # to list all task names and their tags # an equivalent syntax can be used on the command line to override this # option: # ./run_mpas_analysis config.analysis --generate \ # all,no_ocean,all_timeSeries # All tasks with tag "BGC", "icebergs", "index", and "eke" are disabled because this run # did not include BGC or icebergs, the EKE analysis member was off and the El Nino analysis # is not meaningful (SSTs are prescribed). generate = ['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_eke'] [climatology] ## options related to producing climatologies, typically to compare against ## observations and previous runs # the first year over which to average climatalogies startYear = 21 # the last year over which to average climatalogies endYear = 30 [timeSeries] ## options related to producing time series plots, often to compare against ## observations and previous runs # start and end years for timeseries analysis. Using out-of-bounds values # like start_year = 1 and end_year = 9999 will be clipped to the valid range # of years, and is a good way of insuring that all values are used. startYear = 1 endYear = 30 [index] ## options related to producing nino index. # start and end years for the nino 3.4 analysis. Using out-of-bounds values # like start_year = 1 and end_year = 9999 will be clipped to the valid range # of years, and is a good way of insuring that all values are used. # For valid statistics, index times should include at least 30 years startYear = 1 endYear = 9999 [TSDiagramsForAntarcticRegions] ## options related to plotting time series of Antarctic regions # diagram type, either 'volumetric' or 'scatter', depending on if the points # should be binned the plot should show the volume fraction in each bin or # scattered points colored by their depth diagramType = scatter # The color map for depth or volume # colormap = cmo.deep # The following is more appropriate if diagramType == 'scatter' colormap = cmo.deep_r [TSDiagramsForOceanBasins] ## options related to plotting time series of Antarctic regions # diagram type, either 'volumetric' or 'scatter', depending on if the points # should be binned the plot should show the volume fraction in each bin or # scattered points colored by their depth diagramType = scatter # The color map for depth or volume # colormap = cmo.deep # The following is more appropriate if diagramType == 'scatter' colormap = cmo.deep_r