This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

Swansea University Aerosol Algorithm: (Advanced) Along-track Scanning Radiometers Daily Collated Level-3 Product v4.35.1

Update Frequency: Not Planned
Status: Pending
Online Status: ONLINE
Publication State: Preview
Publication Date:

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

This dataset provides global Aerosol Optical Depth (AOD) from the Along-Track Scanning Radiometer-2 (ATSR-2) and Advanced Along-Track Scanning Radiometer (AATSR), presented on a 1° latitude-longitude grid, running from 1995-2003 (ATSR-2) and 2002-2012 (AATSR).

The product contains the daily mean and standard deviation of the total AOD and fine-mode AOD at 550nm retrieved within each grid cell. An uncertainty estimate is provided for the total AOD. It also includes a number of associated quantities determined consistently with the retrieval: AOD at 670nm, 870nm and 1600nm; surface reflectance at 550nm, 670nm, 870nm and 1600nm; Angstrom exponent, non-spherical dust AOD, absorbing AOD and single scattering albedos all at 550nm; and the cloud and land fractions.

The data here are part of a set of data that have been produced by Swansea University as part of the Earth Observation Climate Information Service (EOCIS) project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project. The combined data collection covers the periods 1995-2012 and 2016 to present.

Data are made freely and openly available under a Creative Commons License by Attribution (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

When citing this dataset please also cite the associated data paper:

Pearson, K.J., North, P.R.J., Heckel, A., Hornero, A., Kinne, S., Popp, T., Sogacheva, L., Griesfeller, J., Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995-2002. Scientific Data (TBD)

Citable as:  [ PROVISIONAL ] Pearson, K.; North, P. (9999): Swansea University Aerosol Algorithm: (Advanced) Along-track Scanning Radiometers Daily Collated Level-3 Product v4.35.1. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/397b2da3a0d04bde8e5e1e341c829422/
Abbreviation: Not defined
Keywords: Aerosol, Particulate, ATSR, ENVISAT, ERS-2, optical, depth, EOCIS, 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):
http://creativecommons.org/licenses/by/4.0/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

This dataset was produced by Swansea University in the context of the Earth Observation Climate Information Service project, using algorithms developed under the European Space Agency’s (ESA) Climate Change Initiative for Aerosol project.

Data Quality:
For information on the data quality see the related documentation
File Format:
Data are in NetCDF format

Related Documents

No documents related to this record were found.

Process overview

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

Computation Element: 1

Title Derivation of the Swansea University Global Aerosol Optical Depth products from the Along-Track Scanning Radiometers and Sea and Land Surface Temperature Radiometers
Abstract For information on the derivation of the Swansea University Global Aerosol Optical Depth products see the associated documentation.
Input Description None
Output Description None
Software Reference None
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
1995-06-01T00:00:00
End time:
2012-04-08T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°
 
Related parties
Funders (1)
Principal Investigators (1)