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Dataset

 

ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01

Update Frequency: Not Planned
Latest Data Update: 2020-04-29
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2020-08-27
Download Stats: last 12 months
Dataset Size: 46.47K Files | 124GB

Abstract

The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01.

For further details about these data products please see the linked documentation.

Citable as:  ESA Aerosols CCI project team; de Leeuw, G.; Popp, T. (2020): ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/8b63d36f6f1e4efa8aea302b924bc46b/
Abbreviation: Not defined
Keywords: Aerosol, ESA, CCI, AATSR

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_aerosol_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:

Data were processed by the ESA CCI Aerosol project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.

Data Quality:
As provided by the CCI Aerosol project team
File Format:
Data are netCDF formatted.

Process overview

  • units: 1
  • var_id: aerosol_type
  • long_name: Best-guess aerosol type
  • names: Best-guess aerosol type
  • units: 1
  • standard_name: cloud_area_fraction
  • var_id: cloud_fraction
  • long_name: Cloud fraction
  • names: cloud_area_fraction, Cloud fraction
  • units: 1
  • long_name: Cost function at solution
  • var_id: fit_error
  • names: Cost function at solution
  • units: 1
  • long_name: Instrument view
  • var_id: instrument_view
  • names: Instrument view
  • units: 1
  • standard_name: land_area_fraction
  • var_id: surface_type_number
  • long_name: Land fraction
  • names: land_area_fraction, Land fraction
  • units: 1
  • long_name: Number of 1km retrievals within 10km grid cell
  • var_id: data_count
  • names: Number of 1km retrievals within 10km grid cell
  • units: 1
  • var_id: pixel_count
  • long_name: Number of level 1 pixels within 10km grid cell
  • names: Number of level 1 pixels within 10km grid cell
  • units: 1
  • var_id: quality_flag
  • long_name: Quality check results
  • names: Quality check results
  • units: degrees
  • var_id: relative_azimuth_at_center
  • long_name: Relative azimuth angle
  • names: Relative azimuth angle
  • units: 1
  • long_name: Retrieval iterations
  • var_id: iterations
  • names: Retrieval iterations
  • units: degrees
  • standard_name: zenith_angle
  • var_id: satellite_zenith_at_center
  • long_name: Satellite zenith angle
  • names: zenith_angle, Satellite zenith angle
  • units: 1
  • long_name: Sinusoidal pixel index
  • var_id: pixel_number
  • names: Sinusoidal pixel index
  • units: degrees
  • long_name: Solar zenith angle
  • standard_name: solar_zenith_angle
  • var_id: sun_zenith_at_center
  • names: Solar zenith angle, solar_zenith_angle
  • units: 1
  • var_id: surface_reflectance1600
  • long_name: Surface bihemispherical reflectance at 1600 nm
  • names: Surface bihemispherical reflectance at 1600 nm
  • units: 1
  • var_id: surface_reflectance550
  • long_name: Surface bihemispherical reflectance at 550 nm
  • names: Surface bihemispherical reflectance at 550 nm
  • units: 1
  • var_id: surface_reflectance670
  • long_name: Surface bihemispherical reflectance at 670 nm
  • names: Surface bihemispherical reflectance at 670 nm
  • units: 1
  • var_id: surface_reflectance870
  • long_name: Surface bihemispherical reflectance at 870 nm
  • names: Surface bihemispherical reflectance at 870 nm
  • units: 1
  • long_name: Uncertainty on AOT at 550 nm
  • var_id: AOD550_uncertainty
  • names: Uncertainty on AOT at 550 nm
  • units: 1
  • long_name: Uncertainty on AOT at 870 nm
  • var_id: AOD870_uncertainty
  • names: Uncertainty on AOT at 870 nm
  • units: microns
  • long_name: Uncertainty on aerosol effective radius
  • var_id: REFF_uncertainty
  • names: Uncertainty on aerosol effective radius
  • units: 1
  • long_name: Uncertainty on surface reflectance at 1600 nm
  • var_id: surface_reflectance1600_uncertainty
  • names: Uncertainty on surface reflectance at 1600 nm
  • units: 1
  • long_name: Uncertainty on surface reflectance at 550 nm
  • var_id: surface_reflectance550_uncertainty
  • names: Uncertainty on surface reflectance at 550 nm
  • units: 1
  • long_name: Uncertainty on surface reflectance at 670nm
  • var_id: surface_reflectance670_uncertainty
  • names: Uncertainty on surface reflectance at 670nm
  • units: 1
  • long_name: Uncertainty on surface reflectance at 870 nm
  • var_id: surface_reflectance870_uncertainty
  • names: Uncertainty on surface reflectance at 870 nm
  • units: 1
  • long_name: aerosol Angstrom exponent between 550 and 870 nm
  • standard_name: angstrom_exponent_of_ambient_aerosol_in_air
  • var_id: ANG550_870
  • names: angstrom_exponent_of_ambient_aerosol_in_air, aerosol Angstrom exponent between 550 and 870 nm
  • units: 1
  • var_id: AAOD550
  • long_name: aerosol absorption optical thickness at 550 nm
  • names: aerosol absorption optical thickness at 550 nm
  • units: microns
  • long_name: aerosol effective radius
  • var_id: REFF
  • names: aerosol effective radius
  • units: 1
  • standard_name: atmosphere_optical_thickness_due_to_aerosol
  • long_name: aerosol optical thickness at 1600 nm
  • var_id: AOD1600
  • names: atmosphere_optical_thickness_due_to_aerosol, aerosol optical thickness at 1600 nm
  • units: 1
  • standard_name: atmosphere_optical_thickness_due_to_aerosol
  • long_name: aerosol optical thickness at 550 nm
  • var_id: AOD550
  • names: atmosphere_optical_thickness_due_to_aerosol, aerosol optical thickness at 550 nm
  • units: 1
  • standard_name: atmosphere_optical_thickness_due_to_aerosol
  • long_name: aerosol optical thickness at 670 nm
  • var_id: AOD670
  • names: atmosphere_optical_thickness_due_to_aerosol, aerosol optical thickness at 670 nm
  • units: 1
  • standard_name: atmosphere_optical_thickness_due_to_aerosol
  • long_name: aerosol optical thickness at 870 nm
  • var_id: AOD870
  • names: atmosphere_optical_thickness_due_to_aerosol, aerosol optical thickness at 870 nm
  • units: 1
  • var_id: D_AOD550
  • long_name: dust aerosol optical thickness at 550 nm
  • names: dust aerosol optical thickness at 550 nm
  • units: 1
  • var_id: FM_AOD550
  • long_name: fine-mode aerosol optical thickness at 550 nm
  • names: fine-mode aerosol optical thickness at 550 nm

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: Latitude at pixel centre
  • names: latitude, Latitude at pixel centre
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: Longitude at pixel centre
  • names: longitude, Longitude at pixel centre
  • standard_name: time
  • var_id: time
  • units: seconds
  • long_name: TAI70 time
  • names: time, TAI70 time
Coverage
Temporal Range
Start time:
2002-05-20T00:00:00
End time:
2012-04-08T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°