!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!! !!! CSO - CAMS Satellite Operator !!! !!! Settings for Tutorial. !!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !---------------------------------------------------------- ! job tree !---------------------------------------------------------- ! class to create a job tree: cso.class : utopya.UtopyaJobTree ! list of sub-elements: cso.elements : tutorial ! class to create a job tree: cso.tutorial.class : utopya.UtopyaJobTree ! list of sub-elements: cso.tutorial.elements : inquire \ convert listing \ catalogue ! ... preprocessor steps one by one: !cso.tutorial.elements : inquire !cso.tutorial.elements : convert !cso.tutorial.elements : listing !cso.tutorial.elements : catalogue ! ! ... extra: gridded files from converted orbits: !cso.tutorial.elements : gridded !cso.tutorial.elements : gridded-catalogue ! ! ... create super-observations !cso.tutorial.elements : superobs ! ! ... after running the obs.oper: !cso.tutorial.elements : sim-catalogue !cso.tutorial.elements : sim-gridded !cso.tutorial.elements : sim-gridded-catalogue ! * ! single step: cso.tutorial.inquire.class : utopya.UtopyaJobStep ! two tasks: cso.tutorial.inquire.tasks : table-dataspace plot !~ task: inquire available files: cso.tutorial.inquire.table-dataspace.class : cso.CSO_DataSpace_Inquire cso.tutorial.inquire.table-dataspace.args : '${__filename__}', \ rcbase='cso.tutorial.inquire-table-dataspace' !~ task: create plot of available versions: cso.tutorial.inquire.plot.class : cso.CSO_Inquire_Plot cso.tutorial.inquire.plot.args : '${__filename__}', \ rcbase='cso.tutorial.inquire-plot' ! * ! single step: cso.tutorial.convert.class : utopya.UtopyaJobStep ! task: cso.tutorial.convert.task.class : cso.CSO_S5p_Convert cso.tutorial.convert.task.args : '${__filename__}', \ rcbase='cso.tutorial.convert' ! * ! single step: cso.tutorial.listing.class : utopya.UtopyaJobStep ! task: cso.tutorial.listing.task.class : cso.CSO_S5p_Listing cso.tutorial.listing.task.args : '${__filename__}', \ rcbase='cso.tutorial.listing' ! * ! single step: cso.tutorial.catalogue.class : utopya.UtopyaJobStep ! two tasks: cso.tutorial.catalogue.tasks : figs index ! catalogue creation task: cso.tutorial.catalogue.figs.class : cso.CSO_Catalogue cso.tutorial.catalogue.figs.args : '${__filename__}', \ rcbase='cso.tutorial.catalogue' ! indexer task: cso.tutorial.catalogue.index.class : utopya.Indexer cso.tutorial.catalogue.index.args : '${__filename__}', \ rcbase='cso.tutorial.catalogue-index' ! * ! single step: cso.tutorial.sim-catalogue.class : utopya.UtopyaJobStep ! two tasks: cso.tutorial.sim-catalogue.tasks : figs index ! catalogue creation task: cso.tutorial.sim-catalogue.figs.class : cso.CSO_SimCatalogue cso.tutorial.sim-catalogue.figs.args : '${__filename__}', \ rcbase='cso.tutorial.sim-catalogue' ! indexer task: cso.tutorial.sim-catalogue.index.class : utopya.Indexer cso.tutorial.sim-catalogue.index.args : '${__filename__}', \ rcbase='cso.tutorial.sim-catalogue-index' ! ! * super observations ! ! single step: cso.tutorial.superobs.class : utopya.UtopyaJobStep ! tasks: cso.tutorial.superobs.tasks : create listing !~ create: cso.tutorial.superobs.create.class : cso.CSO_SuperObs cso.tutorial.superobs.create.args : '${__filename__}', rcbase='cso.tutorial.superobs' !~ create: cso.tutorial.superobs.listing.class : cso.CSO_S5p_Listing cso.tutorial.superobs.listing.args : '${__filename__}', rcbase='cso.tutorial.superobs-listing' ! ! * gridded fields ! ! single step: cso.tutorial.gridded.class : utopya.UtopyaJobStep ! catalogue creation task: cso.tutorial.gridded.task.class : cso.CSO_GriddedAverage cso.tutorial.gridded.task.args : '${__filename__}', \ rcbase='cso.tutorial.gridded' ! * ! single step: cso.tutorial.gridded-catalogue.class : utopya.UtopyaJobStep ! two tasks: cso.tutorial.gridded-catalogue.tasks : figs index ! catalogue creation task: cso.tutorial.gridded-catalogue.figs.class : cso.CSO_GriddedCatalogue cso.tutorial.gridded-catalogue.figs.args : '${__filename__}', \ rcbase='cso.tutorial.gridded-catalogue' ! indexer task: cso.tutorial.gridded-catalogue.index.class : utopya.Indexer cso.tutorial.gridded-catalogue.index.args : '${__filename__}', \ rcbase='cso.tutorial.gridded-catalogue-index' ! ! * gridded simulation fields ! ! single step: cso.tutorial.sim-gridded.class : utopya.UtopyaJobStep ! catalogue creation task: cso.tutorial.sim-gridded.task.class : cso.CSO_GriddedAverage cso.tutorial.sim-gridded.task.args : '${__filename__}', \ rcbase='cso.tutorial.sim-gridded' ! * ! single step: cso.tutorial.sim-gridded-catalogue.class : utopya.UtopyaJobStep ! two tasks: cso.tutorial.sim-gridded-catalogue.tasks : figs index ! catalogue creation task: cso.tutorial.sim-gridded-catalogue.figs.class : cso.CSO_GriddedCatalogue cso.tutorial.sim-gridded-catalogue.figs.args : '${__filename__}', \ rcbase='cso.tutorial.sim-gridded-catalogue' ! indexer task: cso.tutorial.sim-gridded-catalogue.index.class : utopya.Indexer cso.tutorial.sim-gridded-catalogue.index.args : '${__filename__}', \ rcbase='cso.tutorial.sim-gridded-catalogue-index' !====================================================================== !=== !=== settings !=== !====================================================================== !----------------------------------------------------------- ! id's !----------------------------------------------------------- ! file format: my.cso.format : 1.0 ! file format convention: my.cso.convention : CF-1.7 !----------------------------------------------------------- ! domain !----------------------------------------------------------- ! ! Used for: ! - orbit selection durning download ! - pixel selection ! - map plots ! ! region name: my.region : CAMS ! CAMS regional ensemble domain: my.region.west : -30.0 my.region.east : 45.0 my.region.south : 30.0 my.region.north : 76.0 ! size of map figures for this region: my.region.figsize : (6,6) !! region name: !my.region : globe !! global domain: !my.region.west : -180.0 !my.region.east : 180.0 !my.region.south : -90.0 !my.region.north : 90.0 !! size of map figures for this region: !my.region.figsize : (8,6) !---------------------------------------------------------- ! timerange !---------------------------------------------------------- ! testing 3 days my.timerange.start : 2018-06-01 00:00 my.timerange.end : 2018-06-03 23:59 !---------------------------------------------------------- ! user specific settings: !---------------------------------------------------------- ! Attributes written to output files. my.attr.author : Your Name my.attr.institution : CSO my.attr.email : Your.Name@cso.org ! base location for work directories: !my.work : /work/${USER}/CSO-Tutorial my.work : /Scratch/${USER}/CSO-Tutorial !---------------------------------------------------------- ! job step defaults !---------------------------------------------------------- ! run jobs in foreground: *.script.class : utopya.UtopyaJobScriptForeground ! search path for python modules: *.pypath : ${CSO_PREFIX}/py ! work directory for jobs; *.workdir : ${my.work}/__NAME2PATH__ ! for new job files, use jobtree settings from this file: *.rcfile : ${__filename__} !====================================================================== !=== !=== Inquire DataSpace !=== !====================================================================== ! Obtain names of all available S5p files. ! Stored as csv with processing type, processor version, filenames, etc. ! full time range: cso.tutorial.inquire-table-dataspace.timerange.start : 2018-01-01 00:00:00 cso.tutorial.inquire-table-dataspace.timerange.end : 2024-01-01 00:00:00 ! API url: cso.tutorial.inquire-table-dataspace.url : https://finder.creodias.eu/resto/api ! collection name: cso.tutorial.inquire-table-dataspace.collection : Sentinel5P ! product type, always 10 characters! ! L2__NO2___ ! L2__CO____ ! ... cso.tutorial.inquire-table-dataspace.producttype : L2__NO2___ ! target area; !!~ empty for no limitation: !cso.tutorial.inquire-table-dataspace.area : !~ domain specified as: west,south,east,north cso.tutorial.inquire-table-dataspace.area : ${my.region.west},${my.region.south},${my.region.east},${my.region.north} ! template for download url given "{product_id}": cso.tutorial.inquire-table-dataspace.download_url : https://zipper.dataspace.copernicus.eu/odata/v1/Products({product_id})/$value ! output table, date of today: cso.tutorial.inquire-table-dataspace.output.file : ${my.work}/Copernicus/Copernicus_S5p_NO2_dataspace__%Y-%m-%d.csv ! * create plot ! renew existing plots? cso.tutorial.inquire-plot.renew : True ! listing files: cso.tutorial.inquire-plot.file : ${cso.tutorial.inquire-table-dataspace.output.file} !!~ specify dates ("yyyy-mm-dd") to use historic tables, !! default is table of today: !cso.tutorial.inquire-plot.filedate : 2022-01-28 ! annote: cso.tutorial.inquire-plot.title : S5p/NO2 %Y-%m-%d ! output figure, date of today: cso.tutorial.inquire-plot.output.file : ${my.work}/Copernicus/Copernicus_S5p_NO2_dataspace__%Y-%m-%d.png !====================================================================== !=== !=== convert (and download) !=== !====================================================================== ! renew existing files (True|False) ? cso.tutorial.convert.renew : True !cso.tutorial.convert.renew : False ! time range: cso.tutorial.convert.timerange.start : ${my.timerange.start} cso.tutorial.convert.timerange.end : ${my.timerange.end} !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! input files !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! listing of available source files, created by 'inquire' job: cso.tutorial.convert.inquire.file : ${my.work}/Copernicus/Copernicus_S5p_NO2_dataspace__%Y-%m-%d.csv !!~ historic inquire ... !cso.tutorial.convert.inquire.filedate : 2024-01-18 ! selection keyword: my.tutorial.selection : C03 ! Provide ';' seperated list of to decide if a particular orbit file should be processed. ! If more than one file is available for a particular orbit (from "OFFL" and "RPRO" processing), ! the file with the first match will be used. ! The expressions should include templates '%{header}' for the column values. ! Example to select files from collection '03', preferably from processing 'RPRO' but otherwise from 'OFFL': ! (%{collection} == '03') and (%{processing} == 'RPRO') ; \ ! (%{collection} == '03') and (%{processing} == 'OFFL') ! cso.tutorial.convert.selection : (%{collection} == '03') and (%{processing} == 'RPRO') ; \ (%{collection} == '03') and (%{processing} == 'OFFL') ! input directory; ! files are searched here or downloaded to if not present yet; ! supported templates: ! %{processing} cso.tutorial.convert.input.dir : ${my.work}/Copernicus/S5P/%{processing}/NO2/%Y/%m ! remove downloaded input files after convert? cso.tutorial.convert.downloads.cleanup : False ! selection names: cso.tutorial.convert.filters : lons lats valid quality ! filter settings: cso.tutorial.convert.filter.lons.var : PRODUCT/longitude cso.tutorial.convert.filter.lons.type : minmax cso.tutorial.convert.filter.lons.minmax : ${my.region.west} ${my.region.east} cso.tutorial.convert.filter.lons.units : degrees_east ! filter settings: cso.tutorial.convert.filter.lats.var : PRODUCT/latitude cso.tutorial.convert.filter.lats.type : minmax cso.tutorial.convert.filter.lats.minmax : ${my.region.south} ${my.region.north} cso.tutorial.convert.filter.lats.units : degrees_north ! skip pixel with "no data", use the "qa_value" variable to check: cso.tutorial.convert.filter.valid.var : PRODUCT/qa_value cso.tutorial.convert.filter.valid.type : valid ! Comment in "PRODUCT/qa_value" variable: ! "A continuous quality descriptor, ! varying between 0 (no data) and 1 (full quality data). ! Recommend to ignore data with qa_value < 0.5" ! Recomended is qa_value>=0.75 to remove clouded and other problematic pixels; ! here use 0.5 to include retrievals over clouds and snow/ice. cso.tutorial.convert.filter.quality.var : PRODUCT/qa_value cso.tutorial.convert.filter.quality.type : min cso.tutorial.convert.filter.quality.min : 0.5 cso.tutorial.convert.filter.quality.units : 1 !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! output files !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! output directory and filename: ! - times are taken from mid of selection, rounded to hours ! - use '%{processing}' for the processing name ! - use '%{orbit}' for orbit number cso.tutorial.convert.output.filename : ${my.work}/CSO-data/${my.region}/S5p/NO2/${my.tutorial.selection}/%Y/%m/S5p_%{processing}_NO2_%{orbit}.nc ! pack variables on output: cso.tutorial.convert.output.packed : True ! zlib compression level, 0 for no compression: cso.tutorial.convert.output.complevel : 1 ! global attributes: cso.tutorial.convert.output.attrs : format Conventions \ author institution email ! cso.tutorial.convert.output.attr.format : ${my.cso.format} cso.tutorial.convert.output.attr.Conventions : ${my.cso.convention} cso.tutorial.convert.output.attr.author : ${my.attr.author} cso.tutorial.convert.output.attr.institution : ${my.attr.institution} cso.tutorial.convert.output.attr.email : ${my.attr.email} ! no need to swap layes: cso.tutorial.convert.swap_layers : False ! ~ variables ! which fields to be put out ? cso.tutorial.convert.output.vars : longitude longitude_bounds \ latitude latitude_bounds \ track_longitude track_longitude_bounds \ track_latitude track_latitude_bounds \ time \ qa_value \ pressure kernel_trop amf amf_trop nla \ vcd vcd_errvar \ cloud_fraction cloud_radiance_fraction ! ! Describe per variable: ! * .dims : dimensions list: ! pixel : selected pixels ! corner : number of footprint bounds (probably 4) ! layer : number of layers in atmospheric profile (layers in kernel) ! layeri : number of layer interfaces in atmospheric profile (layer+1) ! retr : number of layers in retrieval product (1 for columns) ; ! for error covariance use (retr,retr0) to avoid repeated dimensions ! track_scan : original scan index in 2D track ! track_pixel : original ground pixel in 2D track ! * .specal : keyword to select special processing ! * None : no special processing (default) ! * track_longitude : longiudes at centers of original 2D track ! * track_latitude : latiudes at centers of original 2D track ! * track_longitude_bounds : longiude bounds at centers of original 2D track ! * track_latitude_bounds : latiude bounds at centers of original 2D track ! * .units : target units if different from original ! * .oper : special postprocessing, currently supported: ! * square : fill variable with squared valued (used to form variance from standard deviation) ! In case no special processing is needed: ! * .from : original variable (group path and variable name) ! ! center longitudes; remove bounds attribute, no coordinate ... cso.tutorial.convert.output.var.longitude.dims : pixel cso.tutorial.convert.output.var.longitude.from : PRODUCT/longitude cso.tutorial.convert.output.var.longitude.attrs : { 'bounds' : None } ! center latitudes; remove bounds attribute, no coordinate ... cso.tutorial.convert.output.var.latitude.dims : pixel cso.tutorial.convert.output.var.latitude.from : PRODUCT/latitude cso.tutorial.convert.output.var.latitude.attrs : { 'bounds' : None } ! corner longitudes; no units in file: cso.tutorial.convert.output.var.longitude_bounds.dims : pixel corner cso.tutorial.convert.output.var.longitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds cso.tutorial.convert.output.var.longitude_bounds.units : degrees_east ! ensure that near dateline the corners form a convex region around center ! (with some points outside [-180,+180] if necessary) cso.tutorial.convert.output.var.longitude_bounds.special : longitude_bounds ! corner latitudes, no units in file: cso.tutorial.convert.output.var.latitude_bounds.dims : pixel corner cso.tutorial.convert.output.var.latitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds cso.tutorial.convert.output.var.latitude_bounds.units : degrees_north ! original track: !~ center lon; remove bounds attribute, no coordinate ... cso.tutorial.convert.output.var.track_longitude.dims : track_scan track_pixel cso.tutorial.convert.output.var.track_longitude.special : track_longitude cso.tutorial.convert.output.var.track_longitude.from : PRODUCT/longitude cso.tutorial.convert.output.var.track_longitude.attrs : { 'bounds' : None } ! !~ center lat; remove bounds attribute, no coordinate ... cso.tutorial.convert.output.var.track_latitude.dims : track_scan track_pixel cso.tutorial.convert.output.var.track_latitude.special : track_latitude cso.tutorial.convert.output.var.track_latitude.from : PRODUCT/latitude cso.tutorial.convert.output.var.track_latitude.attrs : { 'bounds' : None } ! !~ corner lons cso.tutorial.convert.output.var.track_longitude_bounds.dims : track_scan track_pixel corner cso.tutorial.convert.output.var.track_longitude_bounds.special : track_longitude_bounds cso.tutorial.convert.output.var.track_longitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds cso.tutorial.convert.output.var.track_longitude_bounds.units : degrees_east ! !~ corner lats cso.tutorial.convert.output.var.track_latitude_bounds.dims : track_scan track_pixel corner cso.tutorial.convert.output.var.track_latitude_bounds.special : track_latitude_bounds cso.tutorial.convert.output.var.track_latitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds cso.tutorial.convert.output.var.track_latitude_bounds.units : degrees_north ! time value per scan line cso.tutorial.convert.output.var.time.dims : pixel cso.tutorial.convert.output.var.time.special : time-delta cso.tutorial.convert.output.var.time.tref : PRODUCT/time cso.tutorial.convert.output.var.time.dt : PRODUCT/delta_time ! vertical column density: cso.tutorial.convert.output.var.vcd.dims : pixel retr cso.tutorial.convert.output.var.vcd.from : PRODUCT/nitrogendioxide_tropospheric_column cso.tutorial.convert.output.var.vcd.attrs : { 'ancillary_variables' : None } ! error variance in vertical column density (after application of kernel), ! fill with single element 'covariance matrix', from square of standard error: ! use dims with different names to avoid that cf-checker complains: cso.tutorial.convert.output.var.vcd_errvar.dims : pixel retr retr0 cso.tutorial.convert.output.var.vcd_errvar.special : square cso.tutorial.convert.output.var.vcd_errvar.from : PRODUCT/nitrogendioxide_tropospheric_column_precision_kernel !~ skip standard name, modifier "standard_error" is not valid anymore: cso.tutorial.convert.output.var.vcd_errvar.attrs : { 'standard_name' : None } ! Convert from hybride coefficient bounds in (2,nlev) aray to 3D half level pressure: cso.tutorial.convert.output.var.pressure.dims : pixel layeri cso.tutorial.convert.output.var.pressure.special : hybounds_to_pressure cso.tutorial.convert.output.var.pressure.sp : PRODUCT/SUPPORT_DATA/INPUT_DATA/surface_pressure cso.tutorial.convert.output.var.pressure.hyab : PRODUCT/tm5_constant_a cso.tutorial.convert.output.var.pressure.hybb : PRODUCT/tm5_constant_b cso.tutorial.convert.output.var.pressure.units : Pa ! (total) airmass factor: cso.tutorial.convert.output.var.amf.dims : pixel retr cso.tutorial.convert.output.var.amf.from : PRODUCT/air_mass_factor_total cso.tutorial.convert.output.var.amf.attrs : { 'coordinates' : None, 'ancillary_variables' : None } ! tropospheric airmass factor: cso.tutorial.convert.output.var.amf_trop.dims : pixel retr cso.tutorial.convert.output.var.amf_trop.from : PRODUCT/air_mass_factor_troposphere cso.tutorial.convert.output.var.amf_trop.attrs : { 'coordinates' : None, 'ancillary_variables' : None } ! number of apriori layers in retrieval layer, ! enforce that it is stored as a short integer: cso.tutorial.convert.output.var.nla.dims : pixel retr cso.tutorial.convert.output.var.nla.dtype : i2 cso.tutorial.convert.output.var.nla.from : PRODUCT/tm5_tropopause_layer_index cso.tutorial.convert.output.var.nla.attrs : { 'coordinates' : None, 'ancillary_variables' : None } ! description: ! kernel := averaging_kernel * amf/amf_trop ! for layers up to l_trop, zero above cso.tutorial.convert.output.var.kernel_trop.dims : pixel layer retr cso.tutorial.convert.output.var.kernel_trop.special : kernel_trop cso.tutorial.convert.output.var.kernel_trop.avk : PRODUCT/averaging_kernel cso.tutorial.convert.output.var.kernel_trop.amf : PRODUCT/air_mass_factor_total cso.tutorial.convert.output.var.kernel_trop.amft : PRODUCT/air_mass_factor_troposphere cso.tutorial.convert.output.var.kernel_trop.troplayer : PRODUCT/tm5_tropopause_layer_index cso.tutorial.convert.output.var.kernel_trop.attrs : { 'coordinates' : None, 'ancillary_variables' : None } ! cloud property: cso.tutorial.convert.output.var.cloud_fraction.dims : pixel cso.tutorial.convert.output.var.cloud_fraction.from : PRODUCT/SUPPORT_DATA/INPUT_DATA/cloud_fraction_crb cso.tutorial.convert.output.var.cloud_fraction.attrs : { 'coordinates' : None, 'source' : None } ! cloud property: cso.tutorial.convert.output.var.cloud_radiance_fraction.dims : pixel cso.tutorial.convert.output.var.cloud_radiance_fraction.from : PRODUCT/SUPPORT_DATA/DETAILED_RESULTS/cloud_radiance_fraction_nitrogendioxide_window cso.tutorial.convert.output.var.cloud_radiance_fraction.attrs : { 'coordinates' : None, 'ancillary_variables' : None } ! quality flag: cso.tutorial.convert.output.var.qa_value.dims : pixel cso.tutorial.convert.output.var.qa_value.from : PRODUCT/qa_value !~ skip some attributes, cf-checker complains ... cso.tutorial.convert.output.var.qa_value.attrs : { 'valid_min' : None, 'valid_max' : None } !====================================================================== !=== !=== listing !=== !====================================================================== ! csv file that will hold records per file with: ! - timerange of pixels in file ! - orbit number cso.tutorial.listing.file : ${my.work}/CSO-data/${my.region}/S5p/NO2/${my.tutorial.selection}/listing.csv ! renew table if file already exists? cso.tutorial.listing.renew : True ! time range: cso.tutorial.listing.timerange.start : ${my.timerange.start} cso.tutorial.listing.timerange.end : ${my.timerange.end} ! filename filters relative to listing file that should be scanned for orbit files; ! names could include time templates ; ! if same orbit is found in multiple directories, the first found is used; ! remove existing table for safety to ensure that this is done correctly ... cso.tutorial.listing.patterns : %Y/%m/S5p_*.nc ! extra columns to be added, read from global attributes: cso.tutorial.listing.xcolumns : orbit !====================================================================== !=== !=== catalogue !=== !====================================================================== ! listing file with filenames/timerange. cso.tutorial.catalogue.input.listing : ${cso.tutorial.listing.file} ! time range: cso.tutorial.catalogue.timerange.start : ${my.timerange.start} cso.tutorial.catalogue.timerange.end : ${my.timerange.end} ! target filenames; templates: ! - time values ! - %{orbit} : from listing ! - %{varname} for variable cso.tutorial.catalogue.output.file : ${my.work}/CSO-data-catalogue/${my.region}/S5p/NO2/${my.tutorial.selection}/%Y/%m/%d/S5p_NO2_%{orbit}__%{varname}.png ! map domain (west east south north) cso.tutorial.catalogue.domain : ${my.region.west} ${my.region.east} ${my.region.south} ${my.region.north} ! figure size (inches), default is (8,6): cso.tutorial.catalogue.figsize : ${my.region.figsize} ! renew existing files? !cso.tutorial.catalogue.renew : False cso.tutorial.catalogue.renew : True ! variables to be plotted: cso.tutorial.catalogue.vars : vcd vcd_errvar qa_value \ amf amf_trop nla \ cloud_fraction cloud_radiance_fraction !! color for no-data values in track, default '0.8' (gray): !cso.tutorial.catalogue.color_nan : white !! extra keyword arguments for map: !cso.tutorial.catalogue.map : resolution='h' ! convert units: cso.tutorial.catalogue.var.vcd.units : umol/m2 ! style: cso.tutorial.catalogue.var.vcd.vmin : 0.0 cso.tutorial.catalogue.var.vcd.vmax : 100.0 ! show error as std.dev, convert to vcd units: cso.tutorial.catalogue.var.vcd_errvar.units : umol/m2 ! style: cso.tutorial.catalogue.var.vcd_errvar.vmax : 100.0 ! style: cso.tutorial.catalogue.var.amf.vmin : 0.0 cso.tutorial.catalogue.var.amf.vmax : 4.0 ! style: cso.tutorial.catalogue.var.amf_trop.vmin : 0.0 cso.tutorial.catalogue.var.amf_trop.vmax : 4.0 ! style: cso.tutorial.catalogue.var.nla.vmin : 1 cso.tutorial.catalogue.var.nla.vmax : 34 ! style: cso.tutorial.catalogue.var.qa_value.vmin : 0.5 cso.tutorial.catalogue.var.qa_value.vmax : 1.0 cso.tutorial.catalogue.var.qa_value.colors : ['red','yellow','green'] ! style: cso.tutorial.catalogue.var.cloud_fraction.vmax : 1.0 cso.tutorial.catalogue.var.cloud_fraction.colors : ['blue','cyan','white'] ! style: cso.tutorial.catalogue.var.cloud_radiance_fraction.vmax : 1.0 cso.tutorial.catalogue.var.cloud_radiance_fraction.colors : ['blue','cyan','white'] !----------------------------------------------------------- ! catalogue index !----------------------------------------------------------- ! target location: cso.tutorial.catalogue-index.outdir : ${my.work}/CSO-data-catalogue/${my.region}/S5p/NO2/${my.tutorial.selection} ! title: cso.tutorial.catalogue-index.header : CSO catalogue ! show info on created page? cso.tutorial.catalogue-index.info : True ! create new page for each value? cso.tutorial.catalogue-index.newpage : True ! content type: cso.tutorial.catalogue-index.type : list ! define row values: cso.tutorial.catalogue-index.name : date cso.tutorial.catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' ) ! create new page for each value: cso.tutorial.catalogue-index.date.newpage : True ! content type: cso.tutorial.catalogue-index.date.type : table-row ! define row values: cso.tutorial.catalogue-index.date.name : orbit cso.tutorial.catalogue-index.date.values : CsvFile( '%{date[0:4]}/%{date[4:6]}/%{date[6:8]}/orbits.csv' ) ! content type: cso.tutorial.catalogue-index.date.orbit.type : table-col ! define column values: cso.tutorial.catalogue-index.date.orbit.name : var cso.tutorial.catalogue-index.date.orbit.values : ${cso.tutorial.catalogue.vars} ! content type: cso.tutorial.catalogue-index.date.orbit.var.type : img ! define image: cso.tutorial.catalogue-index.date.orbit.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_NO2_%{orbit}__%{var}.png cso.tutorial.catalogue-index.date.orbit.var.kwargs : height=300 !====================================================================== !=== !=== gridded orbits !=== !====================================================================== !----------------------------------------------------------- ! gridded orbits !----------------------------------------------------------- ! time range: cso.tutorial.gridded.timerange.start : ${my.timerange.start} cso.tutorial.gridded.timerange.end : ${my.timerange.end} ! create one gridded file per hour: cso.tutorial.gridded.timerange.step : hour ! renew existing files? cso.tutorial.gridded.renew : True ! keyword used for subdir for resolution and filters: my.gridded.subdir : ${my.region}__r01x01__qa08 !~ ! grid definition: !~ same as pixel selection on conversion: cso.tutorial.gridded.grid.west : ${my.region.west} cso.tutorial.gridded.grid.east : ${my.region.east} cso.tutorial.gridded.grid.south : ${my.region.south} cso.tutorial.gridded.grid.north : ${my.region.north} ! resolution: cso.tutorial.gridded.grid.dlon : 0.1 cso.tutorial.gridded.grid.dlat : 0.1 ! level of recursive splitting of footprint into triangles, ! and assignment of centroids to grid cells; ! for 4-corner footprints, number of centroids is: ! 1 (levels=0), 4 (1), 8 (2), 16 (3), 64 (5), 256 (7) cso.tutorial.gridded.mapping.levels : 5 !~ ! keywords for source files; ! the first one should have the footprints; ! here the only source are the converted files: cso.tutorial.gridded.sources : data ! input files for each source type: !~ here: specify listing file, ! this is only supported for a single source cso.tutorial.gridded.source.data.listing : ${cso.tutorial.listing.file} !!~ alternative: filename patterns with time templates, !! but here the source files do not have time stamps !cso.tutorial.gridded.source.data.filenames : ${my.work}/CSO-data/S5p/RPRO/NO2/${my.region}/%Y/%m/S5p_*.nc !~ ! keywords for filters: cso.tutorial.gridded.filters : quality ! minimum quality value required: cso.tutorial.gridded.filter.quality.var : qa_value cso.tutorial.gridded.filter.quality.type : min cso.tutorial.gridded.filter.quality.min : 0.8 cso.tutorial.gridded.filter.quality.units : 1 !~ ! target file, might contain templates: ! %Y,%m,etc : time values cso.tutorial.gridded.output.file : ${my.work}/CSO-gridded/${my.gridded.subdir}/%Y/%m/S5p_NO2_%Y%m%d_%H%M_gridded.nc ! pack floats as short values? cso.tutorial.gridded.output.packed : True ! zlib compression level (default 1, 0 for no compression): cso.tutorial.gridded.output.complevel : 1 ! data variables to be created: cso.tutorial.gridded.output.vars : yr ! input variables: ! data:vcd : variable "vcd" from source "data" cso.tutorial.gridded.output.yr.source : data:vcd !----------------------------------------------------------- ! catalogue of gridded fields !----------------------------------------------------------- ! time range: cso.tutorial.gridded-catalogue.timerange.start : ${my.timerange.start} cso.tutorial.gridded-catalogue.timerange.end : ${my.timerange.end} ! create one gridded file per hour: cso.tutorial.gridded-catalogue.timerange.step : hour ! renew existing files? cso.tutorial.gridded-catalogue.renew : True !cso.tutorial.gridded-catalogue.renew : False ! target directory for catalogue: my.gridded-catalogue.output.dir : ${my.work}/CSO-gridded/${my.gridded.subdir}/catalogue ! input files: cso.tutorial.gridded-catalogue.input.file : ${my.work}/CSO-gridded/${my.gridded.subdir}/%Y/%m/S5p_NO2_%Y%m%d_%H%M_gridded.nc !!~ idem for daily average: !cso.tutorial.gridded-catalogue.input.file : ${my.work}/CSO-gridded/${my.gridded.subdir}/S5p_NO2_%Y%m%d_aver_gridded.nc ! target files, time tempates and variable name are replaced: cso.tutorial.gridded-catalogue.output.file : ${my.gridded-catalogue.output.dir}/%Y/%m/%d/S5p_NO2_%Y%m%d_%H%M_gridded_%{var}.png !!~ idem for daily average: !cso.tutorial.gridded-catalogue.output.file : ${my.gridded-catalogue.output.dir}/%Y/%m/%d/S5p_NO2_%Y%m%d_aver_gridded_%{var}.png ! figure size (inches), default is (8,6): cso.tutorial.gridded-catalogue.figsize : ${my.region.figsize} ! variables to be plotted: cso.tutorial.gridded-catalogue.vars : yr ! variable: cso.tutorial.gridded-catalogue.var.yr.source : yr ! convert units: cso.tutorial.gridded-catalogue.var.yr.units : umol/m2 ! style: cso.tutorial.gridded-catalogue.var.yr.vmin : 0.0 cso.tutorial.gridded-catalogue.var.yr.vmax : 100.0 !----------------------------------------------------------- ! gridded catalogue index !----------------------------------------------------------- ! target location: cso.tutorial.gridded-catalogue-index.outdir : ${my.gridded-catalogue.output.dir} ! title: cso.tutorial.gridded-catalogue-index.header : CSO catalogue ! show info on created page? cso.tutorial.gridded-catalogue-index.info : True ! create new page for each value? cso.tutorial.gridded-catalogue-index.newpage : True ! content type: cso.tutorial.gridded-catalogue-index.type : list ! define row values: cso.tutorial.gridded-catalogue-index.name : date cso.tutorial.gridded-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' ) ! create new page for each value: cso.tutorial.gridded-catalogue-index.date.newpage : True ! content type: cso.tutorial.gridded-catalogue-index.date.type : table-row ! define row values: cso.tutorial.gridded-catalogue-index.date.name : time cso.tutorial.gridded-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' ) ! content type: cso.tutorial.gridded-catalogue-index.date.time.type : table-col ! define column values: cso.tutorial.gridded-catalogue-index.date.time.name : var cso.tutorial.gridded-catalogue-index.date.time.values : ${cso.tutorial.gridded-catalogue.vars} ! content type: cso.tutorial.gridded-catalogue-index.date.time.var.type : img ! define image: cso.tutorial.gridded-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_NO2_%{date}_%{time}_gridded_%{var}.png cso.tutorial.gridded-catalogue-index.date.time.var.kwargs : height=300 !====================================================================== !=== !=== super observations !=== !====================================================================== ! time range: cso.tutorial.superobs.timerange.start : ${my.timerange.start} cso.tutorial.superobs.timerange.end : ${my.timerange.end} ! renew existing files? cso.tutorial.superobs.renew : True !cso.tutorial.superobs.renew : False !~ ! keyword to describe super-observations, ! here gridding to 1.0x1.0 my.supobs.key : sup1x1__qa08 ! grid definition: cso.tutorial.superobs.grid.west : ${my.region.west} cso.tutorial.superobs.grid.east : ${my.region.east} cso.tutorial.superobs.grid.south : ${my.region.south} cso.tutorial.superobs.grid.north : ${my.region.north} ! resolution: cso.tutorial.superobs.grid.dlon : 1.0 cso.tutorial.superobs.grid.dlat : 1.0 ! mapping level from footprints to grid cells: !!~ center only, one pixel is enough .. !cso.tutorial.superobs.mapping.levels : 0 !cso.tutorial.superobs.mapping.minimum_number : 0 !~ footprint area cso.tutorial.superobs.mapping.levels : 3 cso.tutorial.superobs.mapping.minimum_coverage : 0.10 !~ ! input listing: cso.tutorial.superobs.source.listing : ${cso.tutorial.listing.file} !~ ! keywords for filters: cso.tutorial.superobs.filters : quality ! minimum quality value required: cso.tutorial.superobs.filter.quality.var : qa_value cso.tutorial.superobs.filter.quality.type : min cso.tutorial.superobs.filter.quality.min : 0.8 cso.tutorial.superobs.filter.quality.units : 1 !~ ! output directory and filename: cso.tutorial.superobs.output.file : ${my.work}/CSO-data/${my.region}/S5p/NO2/${my.tutorial.selection}__${my.supobs.key}/%Y/%m/%{root}.nc ! pack floats as short values? cso.tutorial.superobs.output.packed : False ! zlib compression level (default 1, 0 for no compression): cso.tutorial.superobs.output.complevel : 1 !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! listing !~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! renew table if file already exists? cso.tutorial.superobs-listing.renew : True ! time range: cso.tutorial.superobs-listing.timerange.start : ${my.timerange.start} cso.tutorial.superobs-listing.timerange.end : ${my.timerange.end} ! filename filters relative to listing file that should be scanned for orbit files; ! names could include time templates ; ! if same orbit is found in multiple directories, the first found is used; ! remove existing table for safety to ensure that this is done correctly ... cso.tutorial.superobs-listing.file : ${my.work}/CSO-data/${my.region}/S5p/NO2/${my.tutorial.selection}__${my.supobs.key}/listing.csv cso.tutorial.superobs-listing.patterns : %Y/%m/S5p_*.nc ! extra columns to be added, read from global attributes: cso.tutorial.superobs-listing.xcolumns : orbit processing processor_version !====================================================================== !=== !=== simulation catalogue !=== !====================================================================== !----------------------------------------------------------- ! simulation catalogue !----------------------------------------------------------- ! time range: cso.tutorial.sim-catalogue.timerange.start : ${my.timerange.start} cso.tutorial.sim-catalogue.timerange.end : ${my.timerange.end} cso.tutorial.sim-catalogue.timerange.step : hour ! input files: cso.tutorial.sim-catalogue.input.data.file : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_data.nc cso.tutorial.sim-catalogue.input.state.file : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_state.nc ! target files, time tempates and variable name are replaced: cso.tutorial.sim-catalogue.output.file : ${my.work}/CSO-sim-catalogue/S5p/NO2/${my.region}/%Y/%m/%d/S5p_NO2_%Y%m%d_%H%M_%{var}.png ! map domain used for simulations (west east south north): cso.tutorial.sim-catalogue.domain : -10 30 35 65 !!~ globe: !cso.tutorial.sim-catalogue.domain : -180 180 -90 90 ! figure size (inches), default is (8,6): cso.tutorial.sim-catalogue.figsize : ${my.region.figsize} ! renew existing files? !cso.tutorial.sim-catalogue.renew : False cso.tutorial.sim-catalogue.renew : True ! variables to be plotted: cso.tutorial.sim-catalogue.vars : yr ys yr_m ys_m tcc ! variable: cso.tutorial.sim-catalogue.var.yr.source : data:yr ! convert units: cso.tutorial.sim-catalogue.var.yr.units : umol/m2 ! style: cso.tutorial.sim-catalogue.var.yr.vmin : 0.0 cso.tutorial.sim-catalogue.var.yr.vmax : 100.0 ! variable: cso.tutorial.sim-catalogue.var.ys.source : state:ys ! convert units: cso.tutorial.sim-catalogue.var.ys.units : umol/m2 ! style: cso.tutorial.sim-catalogue.var.ys.vmin : 0.0 cso.tutorial.sim-catalogue.var.ys.vmax : 100.0 ! variable: cso.tutorial.sim-catalogue.var.yr_m.source : state:yr_m ! convert units: cso.tutorial.sim-catalogue.var.yr_m.units : umol/m2 ! style: cso.tutorial.sim-catalogue.var.yr_m.vmin : 0.0 cso.tutorial.sim-catalogue.var.yr_m.vmax : 100.0 ! variable: cso.tutorial.sim-catalogue.var.ys_m.source : state:ys_m ! convert units: cso.tutorial.sim-catalogue.var.ys_m.units : umol/m2 ! style: cso.tutorial.sim-catalogue.var.ys_m.vmin : 0.0 cso.tutorial.sim-catalogue.var.ys_m.vmax : 100.0 ! variable: cso.tutorial.sim-catalogue.var.tcc.source : state:mod_tcc ! convert units: cso.tutorial.sim-catalogue.var.tcc.units : 1 ! style: cso.tutorial.sim-catalogue.var.tcc.vmin : 0.0 cso.tutorial.sim-catalogue.var.tcc.vmax : 1.0 !----------------------------------------------------------- ! sim catalogue index !----------------------------------------------------------- ! target location: cso.tutorial.sim-catalogue-index.outdir : ${my.work}/CSO-sim-catalogue/S5p/NO2/${my.region} ! title: cso.tutorial.sim-catalogue-index.header : CSO catalogue ! show info on created page? cso.tutorial.sim-catalogue-index.info : True ! create new page for each value? cso.tutorial.sim-catalogue-index.newpage : True ! content type: cso.tutorial.sim-catalogue-index.type : list ! define row values: cso.tutorial.sim-catalogue-index.name : date cso.tutorial.sim-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' ) ! create new page for each value: cso.tutorial.sim-catalogue-index.date.newpage : True ! content type: cso.tutorial.sim-catalogue-index.date.type : table-row ! define row values: cso.tutorial.sim-catalogue-index.date.name : time cso.tutorial.sim-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' ) ! content type: cso.tutorial.sim-catalogue-index.date.time.type : table-col ! define column values: cso.tutorial.sim-catalogue-index.date.time.name : var cso.tutorial.sim-catalogue-index.date.time.values : ${cso.tutorial.sim-catalogue.vars} ! content type: cso.tutorial.sim-catalogue-index.date.time.var.type : img ! define image: cso.tutorial.sim-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_NO2_%{date}_%{time}_%{var}.png cso.tutorial.sim-catalogue-index.date.time.var.kwargs : height=300 !====================================================================== !=== !=== gridded simulated orbits !=== !====================================================================== !----------------------------------------------------------- ! gridded orbits !----------------------------------------------------------- ! time range: cso.tutorial.sim-gridded.timerange.start : ${my.timerange.start} cso.tutorial.sim-gridded.timerange.end : ${my.timerange.end} ! create one gridded file per hour: cso.tutorial.sim-gridded.timerange.step : hour ! renew existing files? cso.tutorial.sim-gridded.renew : True !cso.tutorial.sim-gridded.renew : False ! target directory, incl. subdir for resolution and filters: my.sim-gridded.dir : ${my.work}/CSO-sim-gridded/${my.region}__r01x01__qa08 !~ ! testing .. my.gridded.region : ${my.region} ! grid definition: !!~ same as pixel selection on conversion: !cso.tutorial.sim-gridded.grid.west : ${my.region.west} !cso.tutorial.sim-gridded.grid.east : ${my.region.east} !cso.tutorial.sim-gridded.grid.south : ${my.region.south} !cso.tutorial.sim-gridded.grid.north : ${my.region.north} !! resolution: !cso.tutorial.sim-gridded.grid.dlon : 0.1 !cso.tutorial.sim-gridded.grid.dlat : 0.1 ! !~ observation operator tutorial: cso.tutorial.sim-gridded.grid.west : -10 cso.tutorial.sim-gridded.grid.east : 30 cso.tutorial.sim-gridded.grid.south : 35 cso.tutorial.sim-gridded.grid.north : 65 ! resolution: cso.tutorial.sim-gridded.grid.dlon : 0.1 cso.tutorial.sim-gridded.grid.dlat : 0.1 ! level of recursive splitting of footprint into triangles, ! and assignment of centroids to grid cells; ! for 4-corner footprints, number of centroids is: ! 1 (levels=0), 4 (1), 8 (2), 16 (3), 64 (5), 256 (7) cso.tutorial.sim-gridded.mapping.levels : 5 !~ ! keywords for source files; ! the first one should have the footprints: cso.tutorial.sim-gridded.sources : data state ! input files for each source type: cso.tutorial.sim-gridded.source.data.filenames : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_data.nc cso.tutorial.sim-gridded.source.state.filenames : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_state.nc !~ ! keywords for filters: cso.tutorial.sim-gridded.filters : quality ! minimum quality value required: cso.tutorial.sim-gridded.filter.quality.var : qa_value cso.tutorial.sim-gridded.filter.quality.type : min cso.tutorial.sim-gridded.filter.quality.min : 0.8 cso.tutorial.sim-gridded.filter.quality.units : 1 !~ ! target file, might contain templates: ! %Y,%m,etc : time values ! %{basename} : basename (without extension) of first source file cso.tutorial.sim-gridded.output.file : ${my.sim-gridded.dir}/%Y/%m/CSO_output_%Y%m%d_%H%M_gridded.nc ! pack variables on output: cso.tutorial.sim-gridded.output.packed : True ! zlib compression level, 0 for no compression: cso.tutorial.sim-gridded.output.complevel : 1 ! data variables to be created: cso.tutorial.sim-gridded.output.vars : yr ys yr_m ys_m ! input variables: ! data:yr : from data file ! state:ys : from state file cso.tutorial.sim-gridded.output.yr.source : data:yr cso.tutorial.sim-gridded.output.ys.source : state:ys cso.tutorial.sim-gridded.output.yr_m.source : state:yr_m cso.tutorial.sim-gridded.output.ys_m.source : state:ys_m !----------------------------------------------------------- ! catalogue of gridded simulations !----------------------------------------------------------- ! time range: cso.tutorial.sim-gridded-catalogue.timerange.start : ${my.timerange.start} cso.tutorial.sim-gridded-catalogue.timerange.end : ${my.timerange.end} ! hourly fields: cso.tutorial.sim-gridded-catalogue.timerange.step : hour ! renew existing files? cso.tutorial.sim-gridded-catalogue.renew : True !cso.tutorial.sim-gridded-catalogue.renew : False ! input files: cso.tutorial.sim-gridded-catalogue.input.file : ${my.sim-gridded.dir}/%Y/%m/CSO_output_%Y%m%d_%H%M_gridded.nc !!~ idem for daily average: !cso.tutorial.sim-gridded-catalogue.input.file : ${my.sim-gridded.dir}/CSO_output_%Y%m%d_aver_gridded.nc ! target files, time tempates and variable name are replaced: cso.tutorial.sim-gridded-catalogue.output.file : ${my.sim-gridded.dir}/catalogue/%Y/%m/%d/S5p_NO2_%Y%m%d_%H%M_gridded_%{var}.png !!~ idem for daily average: !cso.tutorial.sim-gridded-catalogue.output.file : ${my.sim-gridded.dir}/catalogue/%Y/%m/%d/S5p_NO2_%Y%m%d_aver_gridded_%{var}.png ! figure size (inches), default is (8,6): cso.tutorial.sim-gridded-catalogue.figsize : ${my.region.figsize} ! variables to be plotted: cso.tutorial.sim-gridded-catalogue.vars : yr ys yr_m ys_m ! variable: cso.tutorial.sim-gridded-catalogue.var.yr.source : yr ! convert units: cso.tutorial.sim-gridded-catalogue.var.yr.units : umol/m2 ! style: cso.tutorial.sim-gridded-catalogue.var.yr.vmin : 0.0 cso.tutorial.sim-gridded-catalogue.var.yr.vmax : 100.0 ! variable: cso.tutorial.sim-gridded-catalogue.var.ys.source : ys ! convert units: cso.tutorial.sim-gridded-catalogue.var.ys.units : umol/m2 ! style: cso.tutorial.sim-gridded-catalogue.var.ys.vmin : 0.0 cso.tutorial.sim-gridded-catalogue.var.ys.vmax : 100.0 ! variable: cso.tutorial.sim-gridded-catalogue.var.yr_m.source : yr_m ! convert units: cso.tutorial.sim-gridded-catalogue.var.yr_m.units : umol/m2 ! style: cso.tutorial.sim-gridded-catalogue.var.yr_m.vmin : 0.0 cso.tutorial.sim-gridded-catalogue.var.yr_m.vmax : 100.0 ! variable: cso.tutorial.sim-gridded-catalogue.var.ys_m.source : ys_m ! convert units: cso.tutorial.sim-gridded-catalogue.var.ys_m.units : umol/m2 ! style: cso.tutorial.sim-gridded-catalogue.var.ys_m.vmin : 0.0 cso.tutorial.sim-gridded-catalogue.var.ys_m.vmax : 100.0 !----------------------------------------------------------- ! gridded catalogue index !----------------------------------------------------------- ! target location: cso.tutorial.sim-gridded-catalogue-index.outdir : ${my.sim-gridded.dir}/catalogue ! title: cso.tutorial.sim-gridded-catalogue-index.header : CSO catalogue ! show info on created page? cso.tutorial.sim-gridded-catalogue-index.info : True ! create new page for each value? cso.tutorial.sim-gridded-catalogue-index.newpage : True ! content type: cso.tutorial.sim-gridded-catalogue-index.type : list ! define row values: cso.tutorial.sim-gridded-catalogue-index.name : date cso.tutorial.sim-gridded-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' ) ! create new page for each value: cso.tutorial.sim-gridded-catalogue-index.date.newpage : True ! content type: cso.tutorial.sim-gridded-catalogue-index.date.type : table-row ! define row values: cso.tutorial.sim-gridded-catalogue-index.date.name : time cso.tutorial.sim-gridded-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' ) ! content type: cso.tutorial.sim-gridded-catalogue-index.date.time.type : table-col ! define column values: cso.tutorial.sim-gridded-catalogue-index.date.time.name : var cso.tutorial.sim-gridded-catalogue-index.date.time.values : ${cso.tutorial.sim-gridded-catalogue.vars} ! content type: cso.tutorial.sim-gridded-catalogue-index.date.time.var.type : img ! define image: cso.tutorial.sim-gridded-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_NO2_%{date}_%{time}_gridded_%{var}.png cso.tutorial.sim-gridded-catalogue-index.date.time.var.kwargs : height=300 !====================================================================== !=== !=== end !=== !======================================================================