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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
!!! Settings for S5p/SO2 processing.
!!!
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
!-----------------------------------------------------------------------
! user specific settings:
!-----------------------------------------------------------------------
! include user specfic settings:
#include cso-user-settings.rc
!======================================================================
!===
!===
!======================================================================
!-----------------------------------------------------------------------
!-----------------------------------------------------------------------
! Obtain names of all available S5p files.
! Stored as csv with processing type, processor version, filenames, etc.
! full time range:
cso.s5p.so2.inquire-table-dataspace.timerange.start : ${my.full-timerange.start}
cso.s5p.so2.inquire-table-dataspace.timerange.end : ${my.full-timerange.end}
! API url:
cso.s5p.so2.inquire-table-dataspace.url : https://finder.creodias.eu/resto/api
! collection name:
cso.s5p.so2.inquire-table-dataspace.collection : Sentinel5P
! product type, always 10 characters!
! L2__SO2___
! L2__CO____
! ...
cso.s5p.so2.inquire-table-dataspace.producttype : L2__SO2___
!cso.s5p.so2.inquire-table-dataspace.area :
!~ domain specified as: west,south,east,north
cso.s5p.so2.inquire-table-dataspace.area : ${my.region.west},${my.region.south},${my.region.east},${my.region.north}
! template for download url given "{product_id}":
cso.s5p.so2.inquire-table-dataspace.download_url : https://zipper.dataspace.copernicus.eu/odata/v1/Products({product_id})/$value
cso.s5p.so2.inquire-table-dataspace.output.file : ${my.work}/Copernicus-inquire/Copernicus_S5p_SO2_dataspace__%Y-%m-%d.csv
!-----------------------------------------------------------
! overview plot of versions
!-----------------------------------------------------------
! renew existing plots?
cso.s5p.so2.inquire-plot.renew : True
! listing files:
cso.s5p.so2.inquire-plot.file : ${cso.s5p.so2.inquire-table-dataspace.output.file}
!!~ specify dates ("yyyy-mm-dd") to use historic tables,
!! default is table of today:
!cso.s5p.so2.inquire-plot.filedate : 2023-08-07
! annote:
cso.s5p.so2.inquire-plot.title : S5p/SO2 %Y-%m-%d
! output figure, date of today:
cso.s5p.so2.inquire-plot.output.file : ${my.work}/Copernicus-inquire/Copernicus_S5p_SO2_dataspace__%Y-%m-%d.png
!======================================================================
!===
!===
!======================================================================
! renew existing files (True|False) ?
cso.s5p.so2.convert.renew : True
!cso.s5p.so2.convert.renew : False
! time range:
cso.s5p.so2.convert.timerange.start : ${my.timerange.start}
cso.s5p.so2.convert.timerange.end : ${my.timerange.end}
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! input files
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! created by 'inquire-dataspace' job:
cso.s5p.so2.convert.inquire.file : ${my.work}/Copernicus-inquire/Copernicus_S5p_SO2_dataspace__%Y-%m-%d.csv
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!!~ historic inquire ...
!cso.s5p.so2.convert.inquire.filedate : ${cso.s5p.so2.inquire-plot.filedate}
! selection keyword:
my.s5p.so2.selection : C03
! Provide ';' seperated list of to decide if a particular orbit file should be processed.
! If more than one file is available for a particular orbit (from "OFFL" and "RPRO" processing),
! the file with the first match will be used.
! The expressions should include templates '%{header}' for the column values.
! Example to select files from collection '03', preferably from processing 'RPRO' but otherwise from 'OFFL':
! (%{collection} == '03') and (%{processing} == 'RPRO') ; \
! (%{collection} == '03') and (%{processing} == 'OFFL')
!
#if "${my.s5p.so2.selection}" == "C03"
cso.s5p.so2.convert.selection : (%{collection} == '03') and (%{processing} == 'RPRO') ; \
(%{collection} == '03') and (%{processing} == 'OFFL')
#else
#error unsupported my.s5p.so2.selection "${my.s5p.so2.selection}"
#endif
! input directory;
! files are searched here or downloaded to if not present yet;
! supported templates:
! %{processing}
cso.s5p.so2.convert.input.dir : ${my.work}/Copernicus/S5P/%{processing}/SO2/%Y/%m
! remove downloaded input files after convert?
cso.s5p.so2.convert.downloads.cleanup : False
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! selection names:
cso.s5p.so2.convert.filters : lons lats valid quality sza ground_pixel cloud_fraction
! filter settings:
cso.s5p.so2.convert.filter.lons.var : PRODUCT/longitude
cso.s5p.so2.convert.filter.lons.type : minmax
cso.s5p.so2.convert.filter.lons.minmax : ${my.region.west} ${my.region.east}
cso.s5p.so2.convert.filter.lons.units : degrees_east
! filter settings:
cso.s5p.so2.convert.filter.lats.var : PRODUCT/latitude
cso.s5p.so2.convert.filter.lats.type : minmax
cso.s5p.so2.convert.filter.lats.minmax : ${my.region.south} ${my.region.north}
cso.s5p.so2.convert.filter.lats.units : degrees_north
! filter ground pixel sides, more uncertain observations 50-400, here a few more:
!Theys, N., Hedelt, P., De Smedt, I. et al. Global monitoring of volcanic SO2
! degassing with unprecedented resolution from TROPOMI onboard Sentinel-5 Precursor. Sci Rep 9, 2643 (2019).
! https://doi.org/10.1038/s41598-019-39279-y
cso.s5p.so2.convert.filter.ground_pixel.var : PRODUCT/ground_pixel
cso.s5p.so2.convert.filter.ground_pixel.type : minmax
cso.s5p.so2.convert.filter.ground_pixel.minmax : 25 425
cso.s5p.so2.convert.filter.ground_pixel.units : 1
! 2 pixels on the west side of the track are "no-data",
! also "qa_value" is not filled here;
! therefore need to remove these:
cso.s5p.so2.convert.filter.valid.var : PRODUCT/sulfurdioxide_total_vertical_column
cso.s5p.so2.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"
cso.s5p.so2.convert.filter.quality.var : PRODUCT/qa_value
cso.s5p.so2.convert.filter.quality.type : min
cso.s5p.so2.convert.filter.quality.min : 0.5
cso.s5p.so2.convert.filter.quality.units : 1
! no cloudy pixels:
cso.s5p.so2.convert.filter.cloud_fraction.var : PRODUCT/SUPPORT_DATA/INPUT_DATA/cloud_fraction_crb
cso.s5p.so2.convert.filter.cloud_fraction.type : max
cso.s5p.so2.convert.filter.cloud_fraction.max : 0.2
cso.s5p.so2.convert.filter.cloud_fraction.units : 1
! detection flag for SO2:
! 0 = no detection,
! 1 = detection
! 2 = clear detection close to known volcano
! 3 = clear detection close to known anthropogenic source
! 4 = detection at high SZA
cso.s5p.so2.convert.filter.detection.var : PRODUCT/SUPPORT_DATA/DETAILED_RESULTS/sulfurdioxide_detection_flag
cso.s5p.so2.convert.filter.detection.units : 1
cso.s5p.so2.convert.filter.detection.type : minmax
cso.s5p.so2.convert.filter.detection.minmax : 1 3
! this removes the pixels at very high solar-zenit-angle:
cso.s5p.so2.convert.filter.sza.var : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/solar_zenith_angle
cso.s5p.so2.convert.filter.sza.type : max
cso.s5p.so2.convert.filter.sza.max : 70
cso.s5p.so2.convert.filter.sza.units : degree
!~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
! 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.s5p.so2.convert.output.filename : ${my.work}/CSO-data/${my.region}/S5p/SO2/${my.s5p.so2.selection}/%Y/%m/S5p_SO2_%{orbit}.nc
! pack variables on output:
cso.s5p.so2.convert.output.packed : True
! zlib compression level, 0 for no compression:
cso.s5p.so2.convert.output.complevel : 1
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! global attributes:
cso.s5p.so2.convert.output.attrs : format Conventions \
author institution email
!
cso.s5p.so2.convert.output.attr.format : ${my.cso.format}
cso.s5p.so2.convert.output.attr.Conventions : ${my.cso.convention}
cso.s5p.so2.convert.output.attr.author : ${my.attr.author}
cso.s5p.so2.convert.output.attr.institution : ${my.attr.institution}
cso.s5p.so2.convert.output.attr.email : ${my.attr.email}
! no need to swap layes:
cso.s5p.so2.convert.swap_layers : False
! ~ variables
! which fields to be put out ?
cso.s5p.so2.convert.output.vars : longitude longitude_bounds \
latitude latitude_bounds \
track_longitude track_longitude_bounds \
track_latitude track_latitude_bounds \
time \
pressure kernel qa_value \
vcd vcd_errvar \
detection_flag cloud_fraction solar_zenith_angle ground_pixel
!
! 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 : longitudes at centers of original 2D track
! * track_latitude : latitudes at centers of original 2D track
! * track_longitude_bounds : longitude bounds at centers of original 2D track
! * track_latitude_bounds : latitude 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.s5p.so2.convert.output.var.longitude.dims : pixel
cso.s5p.so2.convert.output.var.longitude.from : PRODUCT/longitude
cso.s5p.so2.convert.output.var.longitude.attrs : { 'bounds' : None }
! center latitudes; remove bounds attribute, no coordinate ...
cso.s5p.so2.convert.output.var.latitude.dims : pixel
cso.s5p.so2.convert.output.var.latitude.from : PRODUCT/latitude
cso.s5p.so2.convert.output.var.latitude.attrs : { 'bounds' : None }
! corner longitudes; no units in file:
cso.s5p.so2.convert.output.var.longitude_bounds.dims : pixel corner
cso.s5p.so2.convert.output.var.longitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds
cso.s5p.so2.convert.output.var.longitude_bounds.units : degrees_east
! corner latitudes, no units in file:
cso.s5p.so2.convert.output.var.latitude_bounds.dims : pixel corner
cso.s5p.so2.convert.output.var.latitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds
cso.s5p.so2.convert.output.var.latitude_bounds.units : degrees_north
! original track:
!~ center lon; remove bounds attribute, no coordinate ...
cso.s5p.so2.convert.output.var.track_longitude.dims : track_scan track_pixel
cso.s5p.so2.convert.output.var.track_longitude.special : track_longitude
cso.s5p.so2.convert.output.var.track_longitude.from : PRODUCT/longitude
cso.s5p.so2.convert.output.var.track_longitude.attrs : { 'bounds' : None }
!~ center lat; remove bounds attribute, no coordinate ...
cso.s5p.so2.convert.output.var.track_latitude.dims : track_scan track_pixel
cso.s5p.so2.convert.output.var.track_latitude.special : track_latitude
cso.s5p.so2.convert.output.var.track_latitude.from : PRODUCT/latitude
cso.s5p.so2.convert.output.var.track_latitude.attrs : { 'bounds' : None }
!~ corner lons
cso.s5p.so2.convert.output.var.track_longitude_bounds.dims : track_scan track_pixel corner
cso.s5p.so2.convert.output.var.track_longitude_bounds.special : track_longitude_bounds
cso.s5p.so2.convert.output.var.track_longitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/longitude_bounds
cso.s5p.so2.convert.output.var.track_longitude_bounds.units : degrees_east
!~ corner lats
cso.s5p.so2.convert.output.var.track_latitude_bounds.dims : track_scan track_pixel corner
cso.s5p.so2.convert.output.var.track_latitude_bounds.special : track_latitude_bounds
cso.s5p.so2.convert.output.var.track_latitude_bounds.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/latitude_bounds
cso.s5p.so2.convert.output.var.track_latitude_bounds.units : degrees_north
!~ solar zenith angle
cso.s5p.so2.convert.output.var.solar_zenith_angle.dims : pixel
cso.s5p.so2.convert.output.var.solar_zenith_angle.from : PRODUCT/SUPPORT_DATA/GEOLOCATIONS/solar_zenith_angle
cso.s5p.so2.convert.output.var.solar_zenith_angle.units : degree
! time value per scan line
cso.s5p.so2.convert.output.var.time.dims : pixel
cso.s5p.so2.convert.output.var.time.special : time-delta
cso.s5p.so2.convert.output.var.time.tref : PRODUCT/time
cso.s5p.so2.convert.output.var.time.dt : PRODUCT/delta_time
! ground position across track
cso.s5p.so2.convert.output.var.ground_pixel.dims : track_pixel
cso.s5p.so2.convert.output.var.ground_pixel.special : ground_pixel
cso.s5p.so2.convert.output.var.ground_pixel.from : PRODUCT/ground_pixel
! vertical column density:
cso.s5p.so2.convert.output.var.vcd.dims : pixel retr
cso.s5p.so2.convert.output.var.vcd.from : PRODUCT/sulfurdioxide_total_vertical_column
! 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.s5p.so2.convert.output.var.vcd_errvar.dims : pixel retr retr0
cso.s5p.so2.convert.output.var.vcd_errvar.special : square
cso.s5p.so2.convert.output.var.vcd_errvar.from : PRODUCT/sulfurdioxide_total_vertical_column_precision
!~ skip standard name, modifier "standard_error" is not valid anymore:
cso.s5p.so2.convert.output.var.vcd_errvar.attrs : { 'standard_name' : None }
! Convert from hybride coefficient bounds in (2,nlev) aray to 3D half level pressure:
cso.s5p.so2.convert.output.var.pressure.dims : pixel layeri
cso.s5p.so2.convert.output.var.pressure.special : hymid_to_pressure
cso.s5p.so2.convert.output.var.pressure.sp : PRODUCT/SUPPORT_DATA/INPUT_DATA/surface_pressure
cso.s5p.so2.convert.output.var.pressure.hyam : PRODUCT/SUPPORT_DATA/INPUT_DATA/tm5_constant_a
cso.s5p.so2.convert.output.var.pressure.hybm : PRODUCT/SUPPORT_DATA/INPUT_DATA/tm5_constant_b
cso.s5p.so2.convert.output.var.pressure.units : Pa
cso.s5p.so2.convert.output.var.kernel.dims : pixel layer retr
cso.s5p.so2.convert.output.var.kernel.from : PRODUCT/SUPPORT_DATA/DETAILED_RESULTS/averaging_kernel
! cloud property:
cso.s5p.so2.convert.output.var.cloud_fraction.dims : pixel
cso.s5p.so2.convert.output.var.cloud_fraction.from : PRODUCT/SUPPORT_DATA/INPUT_DATA/cloud_fraction_crb
cso.s5p.so2.convert.output.var.cloud_fraction.attrs : { 'coordinates' : None, 'source' : None }
!! cloud property:
!cso.s5p.so2.convert.output.var.cloud_radiance_fraction.dims : pixel
!cso.s5p.so2.convert.output.var.cloud_radiance_fraction.from : PRODUCT/SUPPORT_DATA/DETAILED_RESULTS/cloud_radiance_fraction_nitrogendioxide_window
!cso.s5p.so2.convert.output.var.cloud_radiance_fraction.attrs : { 'coordinates' : None, 'ancillary_variables' : None }
! quality flag:
cso.s5p.so2.convert.output.var.qa_value.dims : pixel
cso.s5p.so2.convert.output.var.qa_value.from : PRODUCT/qa_value
!~ skip some attributes, cf-checker complains ...
cso.s5p.so2.convert.output.var.qa_value.attrs : { 'valid_min' : None, 'valid_max' : None }
! detection flag:
cso.s5p.so2.convert.output.var.detection_flag.dims : pixel
cso.s5p.so2.convert.output.var.detection_flag.from : PRODUCT/SUPPORT_DATA/DETAILED_RESULTS/sulfurdioxide_detection_flag
cso.s5p.so2.convert.output.var.detection_flag.attrs : { 'coordinates' : None }
cso.s5p.so2.convert.output.var.detection_flag.dtype : i1
!======================================================================
!===
!=== listing
!===
!======================================================================
! csv file that will hold records per file with:
! - timerange of pixels in file
! - orbit number
cso.s5p.so2.listing.file : ${my.work}/CSO-data/${my.region}/S5p/SO2/${my.s5p.so2.selection}__listing.csv
! renew table if file already exists?
cso.s5p.so2.listing.renew : True
! time range:
cso.s5p.so2.listing.timerange.start : ${my.timerange.start}
cso.s5p.so2.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.s5p.so2.listing.patterns : ${my.s5p.so2.selection}/%Y/%m/S5p_*.nc
! extra columns to be added, read from global attributes:
cso.s5p.so2.listing.xcolumns : orbit
!======================================================================
!===
!=== catalogue
!===
!======================================================================
! listing file with filenames/timerange.
cso.s5p.so2.catalogue.input.listing : ${cso.s5p.so2.listing.file}
! time range:
cso.s5p.so2.catalogue.timerange.start : ${my.timerange.start}
cso.s5p.so2.catalogue.timerange.end : ${my.timerange.end}
! target filenames; templates:
! - time values
! - %{orbit} : from listing
! - %{varname} for variable
cso.s5p.so2.catalogue.output.file : ${my.work}/CSO-data-catalogue/${my.region}/S5p/SO2/${my.s5p.so2.selection}/%Y/%m/%d/S5p_SO2_%{orbit}__%{varname}.png
! map domain (west east south north)
cso.s5p.so2.catalogue.domain : ${my.region.west} ${my.region.east} ${my.region.south} ${my.region.north}
! figure size (inches), default is (8,6):
cso.s5p.so2.catalogue.figsize : ${my.region.figsize}
! renew existing files?
!cso.s5p.so2.catalogue.renew : False
cso.s5p.so2.catalogue.renew : True
! variables to be plotted:
cso.s5p.so2.catalogue.vars : vcd vcd_errvar qa_value \
cloud_fraction detection_flag solar_zenith_angle
!! color for no-data values in track, default '0.8' (gray):
!cso.s5p.so2.catalogue.color_nan : white
!! extra keyword arguments for map:
!cso.s5p.so2.catalogue.map : resolution='h'
! convert units:
cso.s5p.so2.catalogue.var.vcd.units : umol/m2
! style:
cso.s5p.so2.catalogue.var.vcd.vmin : 0.0
cso.s5p.so2.catalogue.var.vcd.vmax : 100.0
! show error as std.dev, convert to vcd units:
cso.s5p.so2.catalogue.var.vcd_errvar.units : umol/m2
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! style:
cso.s5p.so2.catalogue.var.vcd_errvar.vmax : 100.0
! style:
cso.s5p.so2.catalogue.var.qa_value.vmin : 0.5
cso.s5p.so2.catalogue.var.qa_value.vmax : 1.0
cso.s5p.so2.catalogue.var.qa_value.colors : ['red','yellow','green']
! style:
cso.s5p.so2.catalogue.var.solar_zenith_angle.vmin : 0
cso.s5p.so2.catalogue.var.solar_zenith_angle.vmax : 90
! style:
cso.s5p.so2.catalogue.var.detection_flag.vmin : 0
cso.s5p.so2.catalogue.var.detection_flag.vmax : 4
cso.s5p.so2.catalogue.var.detection_flag.colors : ['purple','red','yellow','green','blue']
! style:
cso.s5p.so2.catalogue.var.cloud_fraction.vmax : 1.0
cso.s5p.so2.catalogue.var.cloud_fraction.colors : ['blue','cyan','white']
!! style:
!cso.s5p.so2.catalogue.var.cloud_radiance_fraction.vmax : 1.0
!cso.s5p.so2.catalogue.var.cloud_radiance_fraction.colors : ['blue','cyan','white']
!-----------------------------------------------------------
! catalogue index
!-----------------------------------------------------------
! target location:
cso.s5p.so2.catalogue-index.outdir : ${my.work}/CSO-data-catalogue/${my.region}/S5p/SO2/${my.s5p.so2.selection}
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! title:
cso.s5p.so2.catalogue-index.header : CSO catalogue
! show info on created page?
cso.s5p.so2.catalogue-index.info : True
! create new page for each value?
cso.s5p.so2.catalogue-index.newpage : True
! content type:
cso.s5p.so2.catalogue-index.type : list
! define row values:
cso.s5p.so2.catalogue-index.name : date
cso.s5p.so2.catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' )
! create new page for each value:
cso.s5p.so2.catalogue-index.date.newpage : True
! content type:
cso.s5p.so2.catalogue-index.date.type : table-row
! define row values:
cso.s5p.so2.catalogue-index.date.name : orbit
cso.s5p.so2.catalogue-index.date.values : CsvFile( '%{date[0:4]}/%{date[4:6]}/%{date[6:8]}/orbits.csv' )
! content type:
cso.s5p.so2.catalogue-index.date.orbit.type : table-col
! define column values:
cso.s5p.so2.catalogue-index.date.orbit.name : var
cso.s5p.so2.catalogue-index.date.orbit.values : ${cso.s5p.so2.catalogue.vars}
! content type:
cso.s5p.so2.catalogue-index.date.orbit.var.type : img
! define image:
cso.s5p.so2.catalogue-index.date.orbit.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_SO2_%{orbit}__%{var}.png
cso.s5p.so2.catalogue-index.date.orbit.var.kwargs : height=300
!======================================================================
!===
!===
!======================================================================
!-----------------------------------------------------------
!-----------------------------------------------------------
! time range:
cso.s5p.so2.gridded.timerange.start : ${my.timerange.start}
cso.s5p.so2.gridded.timerange.end : ${my.timerange.end}
! create one gridded file per hour:
cso.s5p.so2.gridded.timerange.step : hour
! renew existing files?
cso.s5p.so2.gridded.renew : True
! target directory, incl. subdir for resolution and filters:
my.gridded.dir : ${my.work}/CSO-gridded/${my.region}__r01x01/S5p/SO2/${my.s5p.so2.selection}__${my.s5p.so2.gridded-selection}
!~
! grid definition:
!~ same as pixel selection on conversion:
cso.s5p.so2.gridded.grid.west : ${my.region.west}
cso.s5p.so2.gridded.grid.east : ${my.region.east}
cso.s5p.so2.gridded.grid.south : ${my.region.south}
cso.s5p.so2.gridded.grid.north : ${my.region.north}
! resolution:
cso.s5p.so2.gridded.grid.dlon : 0.1
cso.s5p.so2.gridded.grid.dlat : 0.1
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! 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.s5p.so2.gridded.mapping.levels : 5
!~
! keywords for source files;
! the first one should have the footprints;
! here the only source are the converted files:
cso.s5p.so2.gridded.sources : data
! input files for each source type:
!~ here: specify listing file,
! this is only supported for a single source
cso.s5p.so2.gridded.source.data.listing : ${cso.s5p.so2.listing.file}
!!~ alternative: filename patterns with time templates,
!! but here the source files do not have time stamps
!cso.s5p.so2.gridded.source.data.filenames : ${my.work}/CSO-data/S5p/RPRO/SO2/${my.region}/%Y/%m/S5p_*.nc
!~
! filter description:
my.s5p.so2.gridded-selection : qa08
! switch:
#if "${my.s5p.so2.gridded-selection}" == "qa08"
! keywords for filters:
cso.s5p.so2.gridded.filters : quality
! minimum quality value required:
cso.s5p.so2.gridded.filter.quality.var : qa_value
cso.s5p.so2.gridded.filter.quality.type : min
cso.s5p.so2.gridded.filter.quality.min : 0.8
cso.s5p.so2.gridded.filter.quality.units : 1
#else
#error unsupported my.s5p.so2.gridded-selection "${my.s5p.so2.gridded-selection}"
#endif
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!~
! target file, might contain templates:
! %Y,%m,etc : time values
cso.s5p.so2.gridded.output.file : ${my.gridded.dir}/%Y/%m/S5p_SO2_%Y%m%d_%H%M_gridded.nc
! pack floats as short values?
cso.s5p.so2.gridded.output.packed : True
! zlib compression level (default 1, 0 for no compression):
cso.s5p.so2.gridded.output.complevel : 1
! data variables to be created:
cso.s5p.so2.gridded.output.vars : yr
! input variables:
! data:vcd : variable "vcd" from source "data"
cso.s5p.so2.gridded.output.yr.source : data:vcd
!-----------------------------------------------------------
! catalogue of gridded fields
!-----------------------------------------------------------
! time range:
cso.s5p.so2.gridded-catalogue.timerange.start : ${my.timerange.start}
cso.s5p.so2.gridded-catalogue.timerange.end : ${my.timerange.end}
! create one gridded file per hour:
cso.s5p.so2.gridded-catalogue.timerange.step : hour
! renew existing files?
cso.s5p.so2.gridded-catalogue.renew : True
!cso.s5p.so2.gridded-catalogue.renew : False
my.so2.gridded-catalogue.output.dir : ${my.gridded.dir}/catalogue
cso.s5p.so2.gridded-catalogue.input.file : ${my.gridded.dir}/%Y/%m/S5p_SO2_%Y%m%d_%H%M_gridded.nc
!!~ idem for daily average:
!cso.s5p.so2.gridded-catalogue.input.file : ${my.gridded.dir}/S5p_SO2_%Y%m%d_aver_gridded.nc
! target files, time tempates and variable name are replaced:
cso.s5p.so2.gridded-catalogue.output.file : ${my.so2.gridded-catalogue.output.dir}/%Y/%m/%d/S5p_SO2_%Y%m%d_%H%M_gridded_%{var}.png
!cso.s5p.so2.gridded-catalogue.output.file : ${my.so2.gridded-catalogue.output.dir}/%Y/%m/%d/S5p_SO2_%Y%m%d_aver_gridded_%{var}.png
! figure size (inches), default is (8,6):
cso.s5p.so2.gridded-catalogue.figsize : (6,6)
! variables to be plotted:
cso.s5p.so2.gridded-catalogue.vars : yr
! variable:
cso.s5p.so2.gridded-catalogue.var.yr.source : yr
! convert units:
cso.s5p.so2.gridded-catalogue.var.yr.units : umol/m2
! style:
cso.s5p.so2.gridded-catalogue.var.yr.vmin : 0.0
cso.s5p.so2.gridded-catalogue.var.yr.vmax : 100.0
!-----------------------------------------------------------
! gridded catalogue index
!-----------------------------------------------------------
! target location:
cso.s5p.so2.gridded-catalogue-index.outdir : ${my.so2.gridded-catalogue.output.dir}
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! title:
cso.s5p.so2.gridded-catalogue-index.header : CSO catalogue
! show info on created page?
cso.s5p.so2.gridded-catalogue-index.info : True
! create new page for each value?
cso.s5p.so2.gridded-catalogue-index.newpage : True
! content type:
cso.s5p.so2.gridded-catalogue-index.type : list
! define row values:
cso.s5p.so2.gridded-catalogue-index.name : date
cso.s5p.so2.gridded-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' )
! create new page for each value:
cso.s5p.so2.gridded-catalogue-index.date.newpage : True
! content type:
cso.s5p.so2.gridded-catalogue-index.date.type : table-row
! define row values:
cso.s5p.so2.gridded-catalogue-index.date.name : time
cso.s5p.so2.gridded-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' )
! content type:
cso.s5p.so2.gridded-catalogue-index.date.time.type : table-col
! define column values:
cso.s5p.so2.gridded-catalogue-index.date.time.name : var
cso.s5p.so2.gridded-catalogue-index.date.time.values : ${cso.s5p.so2.gridded-catalogue.vars}
! content type:
cso.s5p.so2.gridded-catalogue-index.date.time.var.type : img
! define image:
cso.s5p.so2.gridded-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_SO2_%{date}_%{time}_gridded_%{var}.png
cso.s5p.so2.gridded-catalogue-index.date.time.var.kwargs : height=300
!======================================================================
!===
!=== simulation catalogue
!===
!======================================================================
!-----------------------------------------------------------
! simulation catalogue
!-----------------------------------------------------------
! time range:
cso.s5p.so2.sim-catalogue.timerange.start : ${my.timerange.start}
cso.s5p.so2.sim-catalogue.timerange.end : ${my.timerange.end}
cso.s5p.so2.sim-catalogue.timerange.step : hour
! input files:
cso.s5p.so2.sim-catalogue.input.data.file : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_data.nc
cso.s5p.so2.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.s5p.so2.sim-catalogue.output.file : ${my.work}/CSO-data-sim-catalogue/S5p/SO2/${my.region}/%Y/%m/%d/S5p_SO2_%Y%m%d_%H%M_%{var}.png
! map domain used for simulations (west east south north):
cso.s5p.so2.sim-catalogue.domain : ${my.region.west} ${my.region.east} ${my.region.south} ${my.region.north}
! figure size (inches), default is (8,6):
cso.s5p.so2.sim-catalogue.figsize : ${my.region.figsize}
cso.s5p.so2.sim-catalogue.renew : False
!cso.s5p.so2.sim-catalogue.renew : True
cso.s5p.so2.sim-catalogue.vars : yr ys yr_m ys_m
! variable:
cso.s5p.so2.sim-catalogue.var.yr.source : data:yr
! convert units:
cso.s5p.so2.sim-catalogue.var.yr.units : umol/m2
! style:
cso.s5p.so2.sim-catalogue.var.yr.vmin : 0.0
cso.s5p.so2.sim-catalogue.var.yr.vmax : 100.0
! variable:
cso.s5p.so2.sim-catalogue.var.ys.source : state:ys
! convert units:
cso.s5p.so2.sim-catalogue.var.ys.units : umol/m2
! style:
cso.s5p.so2.sim-catalogue.var.ys.vmin : 0.0
cso.s5p.so2.sim-catalogue.var.ys.vmax : 100.0
! variable:
cso.s5p.so2.sim-catalogue.var.yr_m.source : state:yr_m
! convert units:
cso.s5p.so2.sim-catalogue.var.yr_m.units : umol/m2
! style:
cso.s5p.so2.sim-catalogue.var.yr_m.vmin : 0.0
cso.s5p.so2.sim-catalogue.var.yr_m.vmax : 100.0
! variable:
cso.s5p.so2.sim-catalogue.var.ys_m.source : state:ys_m
! convert units:
cso.s5p.so2.sim-catalogue.var.ys_m.units : umol/m2
! style:
cso.s5p.so2.sim-catalogue.var.ys_m.vmin : 0.0
cso.s5p.so2.sim-catalogue.var.ys_m.vmax : 100.0
!-----------------------------------------------------------
! sim catalogue index
!-----------------------------------------------------------
! target location:
cso.s5p.so2.sim-catalogue-index.outdir : ${my.work}/CSO-sim-catalogue/S5p/SO2/${my.region}
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! title:
cso.s5p.so2.sim-catalogue-index.header : CSO catalogue
! show info on created page?
cso.s5p.so2.sim-catalogue-index.info : True
! create new page for each value?
cso.s5p.so2.sim-catalogue-index.newpage : True
! content type:
cso.s5p.so2.sim-catalogue-index.type : list
! define row values:
cso.s5p.so2.sim-catalogue-index.name : date
cso.s5p.so2.sim-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' )
! create new page for each value:
cso.s5p.so2.sim-catalogue-index.date.newpage : True
! content type:
cso.s5p.so2.sim-catalogue-index.date.type : table-row
! define row values:
cso.s5p.so2.sim-catalogue-index.date.name : time
cso.s5p.so2.sim-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' )
! content type:
cso.s5p.so2.sim-catalogue-index.date.time.type : table-col
! define column values:
cso.s5p.so2.sim-catalogue-index.date.time.name : var
cso.s5p.so2.sim-catalogue-index.date.time.values : ${cso.s5p.so2.sim-catalogue.vars}
! content type:
cso.s5p.so2.sim-catalogue-index.date.time.var.type : img
! define image:
cso.s5p.so2.sim-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_SO2_%{date}_%{time}_%{var}.png
cso.s5p.so2.sim-catalogue-index.date.time.var.kwargs : height=300
!======================================================================
!===
!===
!======================================================================
!-----------------------------------------------------------
! gridded orbits
!-----------------------------------------------------------
! time range:
cso.s5p.so2.sim-gridded.timerange.start : ${my.timerange.start}
cso.s5p.so2.sim-gridded.timerange.end : ${my.timerange.end}
! create one gridded file per hour:
cso.s5p.so2.sim-gridded.timerange.step : hour
! 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.s5p.so2.sim-gridded.grid.west : ${my.region.west}
!cso.s5p.so2.sim-gridded.grid.east : ${my.region.east}
!cso.s5p.so2.sim-gridded.grid.south : ${my.region.south}
!cso.s5p.so2.sim-gridded.grid.north : ${my.region.north}
!~ observation operator tutorial:
cso.s5p.so2.sim-gridded.grid.west : -10
cso.s5p.so2.sim-gridded.grid.east : 30
cso.s5p.so2.sim-gridded.grid.south : 35
cso.s5p.so2.sim-gridded.grid.north : 65
cso.s5p.so2.sim-gridded.grid.dlon : 0.1
cso.s5p.so2.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.s5p.so2.sim-gridded.mapping.levels : 5
!~
! keywords for source files;
! the first one should have the footprints:
cso.s5p.so2.sim-gridded.sources : data state
! input files for each source type:
cso.s5p.so2.sim-gridded.source.data.filenames : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_data.nc
cso.s5p.so2.sim-gridded.source.state.filenames : ${my.work}/CSO-oper/CSO_output_%Y%m%d_%H%M_state.nc
!~
! keywords for filters:
! minimum quality value required:
cso.s5p.so2.sim-gridded.filter.quality.var : qa_value
cso.s5p.so2.sim-gridded.filter.quality.type : min
cso.s5p.so2.sim-gridded.filter.quality.min : 0.8
cso.s5p.so2.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.s5p.so2.sim-gridded.output.file : ${my.sim-gridded.dir}/%Y/%m/CSO_output_%Y%m%d_%H%M_gridded.nc
! pack variables on output:
cso.s5p.so2.sim-gridded.output.packed : True
! zlib compression level, 0 for no compression:
cso.s5p.so2.sim-gridded.output.complevel : 1
! data variables to be created:
cso.s5p.so2.sim-gridded.output.vars : yr ys yr_m ys_m
! input variables:
! data:yr : from data file
! state:ys : from state file
cso.s5p.so2.sim-gridded.output.yr.source : data:yr
cso.s5p.so2.sim-gridded.output.ys.source : state:ys
cso.s5p.so2.sim-gridded.output.yr_m.source : state:yr_m
cso.s5p.so2.sim-gridded.output.ys_m.source : state:ys_m
!-----------------------------------------------------------
!-----------------------------------------------------------
! time range:
cso.s5p.so2.sim-gridded-catalogue.timerange.start : ${my.timerange.start}
cso.s5p.so2.sim-gridded-catalogue.timerange.end : ${my.timerange.end}
! hourly fields:
cso.s5p.so2.sim-gridded-catalogue.timerange.step : hour
cso.s5p.so2.sim-gridded-catalogue.renew : True
!cso.s5p.so2.sim-gridded-catalogue.renew : False
cso.s5p.so2.sim-gridded-catalogue.input.file : ${my.sim-gridded.dir}/%Y/%m/CSO_output_%Y%m%d_%H%M_gridded.nc
!cso.s5p.so2.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.s5p.so2.sim-gridded-catalogue.output.file : ${my.sim-gridded.dir}/catalogue/%Y/%m/%d/S5p_SO2_%Y%m%d_%H%M_gridded_%{var}.png
!cso.s5p.so2.sim-gridded-catalogue.output.file : ${my.sim-gridded.dir}/catalogue/%Y/%m/%d/S5p_SO2_%Y%m%d_aver_gridded_%{var}.png
! figure size (inches), default is (8,6):
cso.s5p.so2.sim-gridded-catalogue.figsize : (6,6)
cso.s5p.so2.sim-gridded-catalogue.vars : yr ys yr_m ys_m
cso.s5p.so2.sim-gridded-catalogue.var.yr.source : yr
cso.s5p.so2.sim-gridded-catalogue.var.yr.units : umol/m2
cso.s5p.so2.sim-gridded-catalogue.var.yr.vmin : 0.0
cso.s5p.so2.sim-gridded-catalogue.var.yr.vmax : 100.0
cso.s5p.so2.sim-gridded-catalogue.var.ys.source : ys
cso.s5p.so2.sim-gridded-catalogue.var.ys.units : umol/m2
cso.s5p.so2.sim-gridded-catalogue.var.ys.vmin : 0.0
cso.s5p.so2.sim-gridded-catalogue.var.ys.vmax : 100.0
! variable:
cso.s5p.so2.sim-gridded-catalogue.var.yr_m.source : yr_m
! convert units:
cso.s5p.so2.sim-gridded-catalogue.var.yr_m.units : umol/m2
! style:
cso.s5p.so2.sim-gridded-catalogue.var.yr_m.vmin : 0.0
cso.s5p.so2.sim-gridded-catalogue.var.yr_m.vmax : 100.0
! variable:
cso.s5p.so2.sim-gridded-catalogue.var.ys_m.source : ys_m
! convert units:
cso.s5p.so2.sim-gridded-catalogue.var.ys_m.units : umol/m2
! style:
cso.s5p.so2.sim-gridded-catalogue.var.ys_m.vmin : 0.0
cso.s5p.so2.sim-gridded-catalogue.var.ys_m.vmax : 100.0
!-----------------------------------------------------------
! gridded catalogue index
!-----------------------------------------------------------
! target location:
cso.s5p.so2.sim-gridded-catalogue-index.outdir : ${my.sim-gridded.dir}/catalogue
cso.s5p.so2.sim-gridded-catalogue-index.header : CSO catalogue
cso.s5p.so2.sim-gridded-catalogue-index.info : True
! create new page for each value?
cso.s5p.so2.sim-gridded-catalogue-index.newpage : True
cso.s5p.so2.sim-gridded-catalogue-index.type : list
cso.s5p.so2.sim-gridded-catalogue-index.name : date
cso.s5p.so2.sim-gridded-catalogue-index.values : TimeSeries( ${my.timerange.start}, ${my.timerange.end}, '1 day', '%Y%m%d' )
! create new page for each value:
cso.s5p.so2.sim-gridded-catalogue-index.date.newpage : True
cso.s5p.so2.sim-gridded-catalogue-index.date.type : table-row
cso.s5p.so2.sim-gridded-catalogue-index.date.name : time
cso.s5p.so2.sim-gridded-catalogue-index.date.values : Range( 0, 23, 1, '%2.2i00' )
cso.s5p.so2.sim-gridded-catalogue-index.date.time.type : table-col
cso.s5p.so2.sim-gridded-catalogue-index.date.time.name : var
cso.s5p.so2.sim-gridded-catalogue-index.date.time.values : ${cso.s5p.so2.sim-gridded-catalogue.vars}
cso.s5p.so2.sim-gridded-catalogue-index.date.time.var.type : img
cso.s5p.so2.sim-gridded-catalogue-index.date.time.var.img : %{date[0:4]}/%{date[4:6]}/%{date[6:8]}/S5p_SO2_%{date}_%{time}_gridded_%{var}.png
cso.s5p.so2.sim-gridded-catalogue-index.date.time.var.kwargs : height=300