TY - JOUR
T1 - Development, production and evaluation of aerosol climate data records from European satellite observations (Aerosol_cci)
AU - Popp, Thomas
AU - De Leeuw, Gerrit
AU - Bingen, Christine
AU - Brühl, Christoph
AU - Capelle, Virginie
AU - Chedin, Alain
AU - Clarisse, Lieven
AU - Dubovik, Oleg
AU - Grainger, Roy
AU - Griesfeller, Jan
AU - Heckel, Andreas
AU - Kinne, Stefan
AU - Klüser, Lars
AU - Kosmale, Miriam
AU - Kolmonen, Pekka
AU - Lelli, Luca
AU - Litvinov, Pavel
AU - Mei, Linlu
AU - North, Peter
AU - Pinnock, Simon
AU - Povey, Adam
AU - Robert, Charles
AU - Schulz, Michael
AU - Sogacheva, Larisa
AU - Stebel, Kerstin
AU - Zweers, Deborah Stein
AU - Thomas, Gareth
AU - Tilstra, Lieuwe Gijsbert
AU - Vandenbussche, Sophie
AU - Veefkind, Pepijn
AU - Vountas, Marco
AU - Xue, Yong
PY - 2016
Y1 - 2016
N2 - Producing a global and comprehensive description of atmospheric aerosols requires integration of ground-based, airborne, satellite and model datasets. Due to its complexity, aerosol monitoring requires the use of several data records with complementary information content. This paper describes the lessons learned while developing and qualifying algorithms to generate aerosol Climate Data Records (CDR) within the European Space Agency (ESA) Aerosol_cci project. An iterative algorithm development and evaluation cycle involving core users is applied. It begins with the application-specific refinement of user requirements, leading to algorithm development, dataset processing and independent validation followed by user evaluation. This cycle is demonstrated for a CDR of total Aerosol Optical Depth (AOD) from two subsequent dual-view radiometers. Specific aspects of its applicability to other aerosol algorithms are illustrated with four complementary aerosol datasets. An important element in the development of aerosol CDRs is the inclusion of several algorithms evaluating the same data to benefit from various solutions to the ill-determined retrieval problem. The iterative approach has produced a 17-year AOD CDR, a 10-year stratospheric extinction profile CDR and a 35-year Absorbing Aerosol Index record. Further evolution cycles have been initiated for complementary datasets to provide insight into aerosol properties (i.e., dust aerosol, aerosol absorption).
AB - Producing a global and comprehensive description of atmospheric aerosols requires integration of ground-based, airborne, satellite and model datasets. Due to its complexity, aerosol monitoring requires the use of several data records with complementary information content. This paper describes the lessons learned while developing and qualifying algorithms to generate aerosol Climate Data Records (CDR) within the European Space Agency (ESA) Aerosol_cci project. An iterative algorithm development and evaluation cycle involving core users is applied. It begins with the application-specific refinement of user requirements, leading to algorithm development, dataset processing and independent validation followed by user evaluation. This cycle is demonstrated for a CDR of total Aerosol Optical Depth (AOD) from two subsequent dual-view radiometers. Specific aspects of its applicability to other aerosol algorithms are illustrated with four complementary aerosol datasets. An important element in the development of aerosol CDRs is the inclusion of several algorithms evaluating the same data to benefit from various solutions to the ill-determined retrieval problem. The iterative approach has produced a 17-year AOD CDR, a 10-year stratospheric extinction profile CDR and a 35-year Absorbing Aerosol Index record. Further evolution cycles have been initiated for complementary datasets to provide insight into aerosol properties (i.e., dust aerosol, aerosol absorption).
KW - Absorbing aerosol
KW - Aerosols
KW - Algorithm evolution and climate data record production
KW - AOD
KW - Best practices
KW - Dust
KW - Satellite climate data record
KW - Stratospheric aerosol extinction
UR - http://www.scopus.com/inward/record.url?scp=84971442640&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:14b20d2a-7bbb-4754-8fe2-77c4abc90aeb
U2 - 10.3390/rs8050421
DO - 10.3390/rs8050421
M3 - Article
AN - SCOPUS:84971442640
SN - 2072-4292
VL - 8
JO - Remote Sensing
JF - Remote Sensing
IS - 5
M1 - 421
ER -