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Dataset

 

ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products, version 1.0

Status: Completed
Online Status: ONLINE
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

This nitrogen dioxide (NO2) climate data record (CDR) is a newly developed monthly Level 3 product derived from measurements by the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the EUMETSAT's Meteorological Operational satellites MetOp-A, MetOp-B, and MetOp-C. The dataset has been generated within the framework of the ESA Climate Change Initiative (CCI) Precursors for Aerosols and Ozone project.

The GOME-2 NO2 Level 3 product contains comprehensive information, including essential variables (e.g., total, stratospheric, and tropospheric NO2 vertical column densities) and their uncertainties, observation viewing geometries, auxiliary input variables (e.g., surface albedo and cloud properties), and vertically resolved information (e.g., a priori profiles and averaging kernels) for each grid cell. The dataset is available at two spatial resolutions: 0.2° × 0.2° and 0.5° × 0.5°.

Products included in this collection are:
- GOME-2/MetOp-A NO2 Level 3 product
- GOME-2/MetOp-B NO2 Level 3 product
- GOME-2/MetOp-C NO2 Level 3 product

The version number is 1.0. The data are provided in NetCDF format.

Citable as:  [ PROVISIONAL ] German Aerospace Center; Seo, S. (9999): ESA Precursors for Aerosols and Ozone Climate Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products, version 1.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/685f769eba374f69b445f5487565f1ba

Abbreviation: Not defined
Keywords: Nitrogen Dioxide, NO2, GOME-2, Metop-A, Metop-B, Metop-C, Climate Data Record, CDR, CCI

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://artefacts.ceda.ac.uk/licences/specific_licences/esacci_precursors_for_aerosols_and_ozone_terms_and_conditions.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The L3 data were generated by spatiotemporally averaging AC SAF prototype L2 NO2 data as part of the ESA CCI precursors project. Data was provided to CEDA for archival.

Data Quality:
See dataset associated documentation
File Format:
netcdf

Process overview

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

Instrument/Platform pairings

GOME-2 Deployed on: Metop-A
GOME-2 Deployed on: Metop-B
GOME-2 Deployed on: Metop-C

Computation Element: 1

Title Computation process of the gridded nitrogen dioxide (NO2) monthly Level 3 data from GOME-2/MetOp-A,B,C
Abstract The GOME-2/Metop-A,B and C NO2 Level 3 products were generated using the AC SAF prototype Level 2 product. Only quality-screened Level 2 data were included, applying optimized filtering criteria to ensure data reliability. Monthly Level 3 products were produced by spatial binning onto a regular latitude–longitude grid using an area-weighted averaging approach. The weighting and count vectors are used to consistently apply this weighted averaging during the Level 3 gridding, enabling the calculation of mean values and associated uncertainties. Detailed information on the Level 3 algorithm can be found in the Algorithm Theoretical Basis Document (ATBD). The version number is 1.0. The data are provided in NetCDF format.
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units: 1
  • var_id: air_mass_factor_clear
  • long_name: AMF clear
  • units: 1
  • var_id: air_mass_factor_troposphere
  • long_name: AMF troposphere
  • units: ppv
  • var_id: adjusted_NO2_profile
  • long_name: Adjusted NO2 Profile
  • units: 1
  • var_id: averaging_kernel
  • long_name: Averaging Kernel
  • units: hPa
  • var_id: pressure
  • long_name: Centre of pressure grid
  • units: 1
  • var_id: cloud_fraction
  • long_name: Cloud fraction
  • units: hPa
  • var_id: cloud_pressure
  • long_name: Cloud optical centroid pressure
  • units: 1
  • var_id: cloud_radiance_fraction
  • long_name: Cloud radiance fraction
  • units: 1
  • var_id: qa_L3
  • long_name: Data quality assurance value
  • units: degrees_north
  • var_id: latitude
  • long_name: Latitude
  • units: degrees_east
  • var_id: longitude
  • long_name: Longitude
  • units: molec/cm^2
  • var_id: NO2_slant_column_number_density
  • long_name: NO2 SCD
  • units: molec/cm^2
  • var_id: NO2_slant_column_number_density_uncertainty
  • long_name: NO2 SCD uncertainty
  • units: ppv
  • var_id: apriori_NO2_profile
  • long_name: NO2 apriori profile
  • units: degree
  • var_id: relative_azimuth_angle
  • long_name: Relative Azimuth Angle
  • units: degree
  • long_name: Solar Zenith Angle
  • var_id: solar_zenith_angle
  • units: molec/cm^2
  • var_id: stratospheric_NO2_column_number_density
  • long_name: Stratospheric NO2 VCD
  • units: 1
  • long_name: Surface Albedo
  • var_id: surface_albedo
  • units: hPa
  • long_name: Surface Pressure
  • var_id: surface_pressure
  • units: molec/cm^2
  • var_id: total_NO2_column_number_density
  • long_name: Total NO2 VCD
  • units: molec/cm^2
  • var_id: tropospheric_NO2_column_number_density
  • long_name: Tropospheric NO2 VCD
  • units: molec/cm^2
  • var_id: tropospheric_NO2_column_number_density_uncertainty
  • long_name: Tropospheric NO2 VCD uncertainty
  • units: degree
  • long_name: Viewing Zenith Angle
  • var_id: viewing_zenith_angle
  • units: 1
  • var_id: eff_frac_day
  • long_name: effective fractional day in local solar time
  • units: days
  • var_id: eff_date
  • long_name: effective number of contributing days

Co-ordinate Variables

  • standard_name: time
  • var_id: time
  • units: days
  • long_name: number of days since 1995-01-01
Coverage
Temporal Range
Start time:
2007-01-01T00:00:00
End time:
2024-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°