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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
!!! 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:
gridded gridded-catalogue
! sim-catalogue \
! sim-gridded sim-gridded-catalogue
! ... preprocessor steps one by one:
!cso.tutorial.elements : inquire
!cso.tutorial.elements : convert
!cso.tutorial.elements : listing
Arjo Segers
committed
!cso.tutorial.elements : catalogue
!
! ... extra: gridded files from converted orbits:
!cso.tutorial.elements : gridded
!cso.tutorial.elements : gridded-catalogue
!
! ... 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
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
cso.tutorial.convert.task.class : cso.CSO_S5p_Convert
Arjo Segers
committed
cso.tutorial.convert.task.args : '${__filename__}', \
rcbase='cso.tutorial.convert'
! *
! single step:
cso.tutorial.listing.class : utopya.UtopyaJobStep
! task:
cso.tutorial.listing.task.class : cso.CSO_S5p_Listing
Arjo Segers
committed
cso.tutorial.listing.task.args : '${__filename__}', \
! 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
Arjo Segers
committed
cso.tutorial.catalogue.figs.args : '${__filename__}', \
rcbase='cso.tutorial.catalogue'
! indexer task:
cso.tutorial.catalogue.index.class : utopya.Indexer
Arjo Segers
committed
cso.tutorial.catalogue.index.args : '${__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
Arjo Segers
committed
cso.tutorial.sim-catalogue.figs.args : '${__filename__}', \
rcbase='cso.tutorial.sim-catalogue'
! indexer task:
cso.tutorial.sim-catalogue.index.class : utopya.Indexer
Arjo Segers
committed
cso.tutorial.sim-catalogue.index.args : '${__filename__}', \
rcbase='cso.tutorial.sim-catalogue-index'
!
! * gridded fields
!
! single step:
cso.tutorial.gridded.class : utopya.UtopyaJobStep
! catalogue creation task:
cso.tutorial.gridded.task.class : cso.CSO_GriddedAverage
Arjo Segers
committed
cso.tutorial.gridded.task.args : '${__filename__}', \
rcbase='cso.tutorial.gridded'
! *
! single step:
cso.tutorial.gridded-catalogue.class : utopya.UtopyaJobStep
! two tasks:
cso.tutorial.gridded-catalogue.tasks : figs index
! catalogue creation task:
cso.tutorial.gridded-catalogue.figs.class : cso.CSO_GriddedCatalogue
Arjo Segers
committed
cso.tutorial.gridded-catalogue.figs.args : '${__filename__}', \
rcbase='cso.tutorial.gridded-catalogue'
! indexer task:
cso.tutorial.gridded-catalogue.index.class : utopya.Indexer
Arjo Segers
committed
cso.tutorial.gridded-catalogue.index.args : '${__filename__}', \
rcbase='cso.tutorial.gridded-catalogue-index'
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!
! * gridded simulation fields
!
! single step:
cso.tutorial.sim-gridded.class : utopya.UtopyaJobStep
! catalogue creation task:
cso.tutorial.sim-gridded.task.class : cso.CSO_GriddedAverage
cso.tutorial.sim-gridded.task.args : '${__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
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!-----------------------------------------------------------
! 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,
! default size is (8,6)
my.region.figsize : (8,6)
!----------------------------------------------------------
! timerange
!----------------------------------------------------------
my.timerange.start : 2018-06-01 00:00
my.timerange.end : 2018-06-01 23:59
!my.timerange.end : 2018-06-03 23:59
!----------------------------------------------------------
!----------------------------------------------------------
! 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:
Arjo Segers
committed
*.pypath : ${CSO_PREFIX}/py
! work directory for jobs;
*.workdir : ${my.work}/__NAME2PATH__
! for new job files, use jobtree settings from this file:
*.rcfile : ${__filename__}
!======================================================================
!===
!===
!======================================================================
! Obtain names of all available S5p files.
! Stored as csv with processing type, processor version, filenames, etc.
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___
!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
cso.tutorial.inquire-table-dataspace.output.file : ${my.work}/Copernicus/Copernicus_S5p_NO2_dataspace__%Y-%m-%d.csv
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
cso.tutorial.inquire-plot.output.file : ${my.work}/Copernicus/Copernicus_S5p_NO2_dataspace__%Y-%m-%d.png
!======================================================================
!===
!===
!======================================================================
! 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 : 2023-11-06
! 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.units : 1
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! output files
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! output directory and filename:
! - times are taken from mid of selection, rounded to hours
! - use '%{processing}' for the processing name
cso.tutorial.convert.output.filename : ${my.work}/CSO-data/S5p/%{processing}/NO2/${my.region}/%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 \
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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
! 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 }
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! 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 : ${my.work}/CSO-data/S5p/listing-NO2-${my.region}.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 : ${my.timerange.end}
! filename filters relative to listing file that should be scanned for orbit files;
! names could include time templates ;
! if same orbit is found in multiple directories, the first found is used;
! remove existing table for safety to ensure that this is done correctly ...
cso.tutorial.listing.patterns : RPRO/NO2/${my.region}/%Y/%m/S5p_*.nc \
OFFL/NO2/${my.region}/%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 : ${my.work}/CSO-data-catalogue/S5p/NO2/${my.region}/%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'
cso.tutorial.catalogue.var.vcd.units : umol/m2
! style:
cso.tutorial.catalogue.var.vcd.vmin : 0.0
! show error as std.dev, convert to vcd units:
cso.tutorial.catalogue.var.vcd_errvar.units : umol/m2
cso.tutorial.catalogue.var.vcd_errvar.vmax : 100.0
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! 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 : ${my.work}/CSO-data-catalogue/S5p/NO2/${my.region}
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! 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
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!======================================================================
!===
!=== 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 : (6,6)
! 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
!======================================================================
!===
!=== 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
! figure size (inches), default is (8,6):
cso.tutorial.sim-catalogue.figsize : (6,6)
! 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
! 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
! 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}
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! 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