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Dataset

 

Sentinel 5P: Carbon Monoxide (CO) Total Column level 2 data

Latest Data Update: 2023-04-19
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-05-20
Download Stats: last 12 months
Dataset Size: 61.35K Files | 5TB

Abstract

Sentinel 5 Precursor (S5P) was launched on the 13th of October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). TROPOMI on the Sentinel 5 Precursor (S5P) satellite observes the CO global abundance exploiting clear-sky and cloudy-sky Earth radiance measurements in the 2.3 µm spectral range of the shortwave infrared (SWIR) part of the solar spectrum. TROPOMI clear sky observations provide CO total columns with sensitivity to the tropospheric boundary layer. For cloudy atmospheres, the column sensitivity changes according to the light path. Carbon monoxide (CO) is an important atmospheric trace gas for our understanding of tropospheric chemistry. In certain urban areas, it is a major atmospheric pollutant. The main sources of CO are the combustion of fossil fuels, biomass burning, and atmospheric oxidation of methane and other hydrocarbons. Whereas fossil fuel combustion is the main source of CO at Northern mid-latitudes, the oxidation of isoprene and biomass burning play an important role in the tropics.

Citable as:  Copernicus; European Space Agency (2021): Sentinel 5P: Carbon Monoxide (CO) Total Column level 2 data. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/84ff4498eab64f6885a0e2391b993064/
Abbreviation: Not defined
Keywords: Sentinel, CO, Carbon Monoxide, ESA

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data collected and prepared by European Space Agency (ESA). Downloaded from the Collaborative Hub for use by CEDA users.

Data Quality:
See dataset associated documentation
File Format:
These data are provided in NetCDF format.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

TROPOspheric Monitoring Instrument (TROPOMI) Deployed on: Sentinel 5 Precursor

Computation Element: 1

Title Level 2 Carbon Monoxide (CO) total column processing algorithm applied to Sentinel 5P TROPOspheric Monitoring Instrument (TROPOMI) raw data
Abstract This computation involves the Level 2 processing algorithm applied to raw TROPOspheric Monitoring Instrument (TROPOMI) data. The retrieval algorithm requires several input fields: • The measured Earth radiance and solar irradiance spectra including noise estimate, solar and viewing geometry, and information of geo-location. • ECMWF temperature, water vapor, and pressure profiles, and geo-potential height. • An estimate of the CH4 field using a chemistry transport model, e.g. Transport Model 5 (TM5, [RD33]). • An estimate of the CO column from a chemistry transport model (e.g. TM5). The retrieval is performed in two steps: first, as part of the SWIR preprocessing module, the vertically integrated amount of methane is retrieved from a dedicated fit window of the SWIR band between 2315 and 2324 nm using a non-scattering radiative transfer model. The extent of lightpath shortening and enhancement due to atmospheric scattering by clouds and aerosols can be indicated by comparing the retrieved CH4 column with a priori knowledge. If the difference ∆CH4 exceeds a certain threshold, observations are strongly contaminated by clouds and are rejected. In a second step, the SICOR full physics retrieval approach is used to infer CO columns from the adjacent spectral window, 2324-2338 nm. Here, the methane absorption features are used to infer information on atmospheric scattering by clouds and aerosols, which passed the cloud filter, together with the atmospheric CO and H2O abundances, surface albedo, and spectral calibration of the reflectance spectrum. The scattering layer has a triangular height distribution of fixed geometrical thickness, and its optical depth and height are parameters to be retrieved. This step of the retrieval relies on accurate a priori knowledge of CH4 which will be provided within an accuracy of ±3 % by a dedicated methane forecast using the TM5 atmospheric transport model. The atmospheric scattering is described by a two-stream radiative transfer model. Finally, the retrieval product consists of a CO column estimate including a column averaging kernel and a random error estimate. For more information on the processing algorithm please look at the ATBD document on the TROPOMI CO webpage.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • standard_name: mole_fraction_of_carbon_monoxide_in_air
  • units: mol m-2
  • var_id: carbonmonoxide_profile_apriori
  • long_name: CO a priori profile
  • units: 1
  • var_id: column_averaging_kernel
  • long_name: CO column averaging kernel
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: eastward_wind
  • long_name: Eastward wind from ECMWF at 10 meter height level
  • units: m
  • standard_name: height
  • var_id: layer
  • long_name: Height above topographic surface
  • units: 1
  • var_id: carbonmonoxide_total_column_histogram_axis
  • long_name: Histogram of the CO total vertical column
  • var_id: instrument_configuration_identifier
  • long_name: IcID
  • var_id: instrument_configuration_version
  • long_name: IcVersion
  • var_id: surface_classification
  • long_name: Land-water mask and surface classification based on a static database
  • units: m s-1
  • standard_name: northward_wind
  • var_id: northward_wind
  • long_name: Northward wind from ECMWF at 10 meter height level
  • var_id: number_of_spectral_points_in_retrieval
  • long_name: Number of spectral points used in the retrieval
  • units: mol m-2
  • var_id: semiheavy_water_total_column_precision
  • long_name: Precision of the vertically integrated HDO column
  • units: mol m-2
  • var_id: water_total_column_precision
  • standard_name: atmosphere_mole_content_of_water_vapor standard_error
  • long_name: Precision of vertically integrated H2O column
  • units: Pa
  • standard_name: air_pressure
  • var_id: pressure_levels
  • long_name: Pressure at bottom of layer
  • units: mol m-2
  • var_id: carbonmonoxide_total_column_pdf_axis
  • long_name: Probability density function of CO total vertical column
  • long_name: Processing quality flags
  • var_id: processing_quality_flags
  • units: m
  • var_id: height_scattering_layer
  • long_name: Scattering layer height above the topographic surface
  • units: 1
  • var_id: scattering_optical_thickness_SWIR
  • long_name: Scattering optical depth at 2330 nm wavelength
  • units: nm
  • var_id: wavelength_calibration_offset
  • long_name: Spectral offset
  • units: mol m-2
  • var_id: carbonmonoxide_total_column_precision
  • standard_name: atmosphere_mole_content_of_carbon_monoxide standard_error
  • long_name: Standard error of the vertically integrated CO column
  • units: mol m-2
  • var_id: carbonmonoxide_total_column_stripe_offset
  • long_name: Stripe offset as applied to the carbonmonoxide_total_column_corrected variable
  • units: 1
  • standard_name: surface_albedo
  • var_id: surface_albedo_2325
  • long_name: Surface albedo at 2325 nm
  • units: 1
  • standard_name: surface_albedo
  • var_id: surface_albedo_2335
  • long_name: Surface albedo at 2335 nm
  • units: m
  • standard_name: surface_altitude
  • var_id: surface_altitude
  • long_name: Surface altitude
  • var_id: time_utc
  • long_name: Time of observation as ISO 8601 date-time string
  • units: mol m-2
  • var_id: methane_total_column_prefit
  • standard_name: atmosphere_mole_content_of_methane
  • long_name: Vertically integrated CH4 column from pre-fit
  • units: mol m-2
  • standard_name: atmosphere_mole_content_of_methane
  • var_id: methane_strong_twoband_total_column
  • long_name: Vertically integrated CH4 column from strong band
  • units: mol m-2
  • standard_name: atmosphere_mole_content_of_methane
  • var_id: methane_weak_twoband_total_column
  • long_name: Vertically integrated CH4 column from weak band
  • units: mol m-2
  • var_id: carbonmonoxide_total_column
  • standard_name: atmosphere_mole_content_of_carbon_monoxide
  • long_name: Vertically integrated CO column
  • units: mol m-2
  • standard_name: atmosphere_mole_content_of_water_vapor
  • var_id: water_total_column
  • long_name: Vertically integrated H2O column
  • units: mol m-2
  • var_id: water_strong_twoband_total_column
  • standard_name: atmosphere_mole_content_of_water_vapor
  • long_name: Vertically integrated H2O column from strong band
  • units: mol m-2
  • standard_name: atmosphere_mole_content_of_water_vapor
  • var_id: water_weak_twoband_total_column
  • long_name: Vertically integrated H2O column from weak band
  • units: mol m-2
  • var_id: semiheavy_water_total_column
  • long_name: Vertically integrated HDO column
  • units: 1
  • var_id: ground_pixel
  • long_name: across-track dimension index
  • units: 1
  • var_id: scanline
  • long_name: along-track dimension index
  • units: mol m-2
  • standard_name: atmosphere_mole_content_of_carbon_monoxide
  • var_id: carbonmonoxide_total_column_corrected
  • long_name: carbonmonoxide_total_column - carbonmonoxide_total_column_stripe_offset
  • var_id: carbonmonoxide_total_column_histogram
  • var_id: carbonmonoxide_total_column_histogram_bounds
  • var_id: carbonmonoxide_total_column_pdf
  • var_id: carbonmonoxide_total_column_pdf_bounds
  • units: 1
  • var_id: chi_square
  • long_name: chi squared of fit residuals
  • units: 1
  • var_id: qa_value
  • long_name: data quality value
  • units: 1
  • var_id: degrees_of_freedom
  • long_name: degrees of freedom for signal
  • units: 1
  • var_id: satellite_orbit_phase
  • long_name: fractional satellite orbit phase
  • units: 1
  • long_name: geolocation flags
  • var_id: geolocation_flags
  • units: 1
  • long_name: ground pixel quality flag
  • var_id: geolocation_flags
  • var_id: latitude_bounds
  • var_id: longitude_bounds
  • units: 1
  • var_id: number_of_iterations
  • long_name: number of iterations
  • units: milliseconds
  • var_id: delta_time
  • long_name: offset from reference start time of measurement
  • units: milliseconds
  • var_id: delta_time
  • long_name: offset of start time of measurement relative to time_reference
  • units: 1
  • var_id: corner
  • long_name: pixel corner index
  • units: m
  • var_id: satellite_altitude
  • long_name: satellite altitude
  • units: degrees_east
  • var_id: satellite_longitude
  • long_name: satellite_longitude
  • units: 1
  • var_id: scaled_small_pixel_variance
  • long_name: scaled small pixel variance
  • units: degree
  • standard_name: solar_azimuth_angle
  • long_name: solar azimuth angle
  • var_id: solar_azimuth_angle
  • units: degree
  • long_name: solar zenith angle
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • units: degrees_north
  • var_id: satellite_latitude
  • long_name: sub satellite latitude
  • units: m
  • var_id: surface_altitude_precision
  • standard_name: surface_altitude standard_error
  • long_name: surface altitude precision
  • units: Pa
  • standard_name: surface_air_pressure
  • long_name: surface_air_pressure
  • var_id: surface_pressure
  • units: degree
  • standard_name: viewing_azimuth_angle
  • long_name: viewing azimuth angle
  • var_id: viewing_azimuth_angle
  • units: degree
  • long_name: viewing zenith angle
  • standard_name: viewing_zenith_angle
  • var_id: viewing_zenith_angle

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: pixel center latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: pixel center longitude
  • standard_name: time
  • var_id: time
  • units: seconds
  • long_name: reference time for the measurements
Coverage
Temporal Range
Start time:
2018-05-06T00:00:00
End time:
Ongoing
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°