Results of the first-ever ACSM intercomparison study from the ACTRIS-ACSM network
V. Crenn
(1)
,
Jean Sciare
(1)
,
Olivier Favez
(2)
,
Philip Croteau
(3)
,
Roman Frohlich
(4)
,
A. Setyan
(5)
,
Stéphane Verlhac
(2)
,
Véronique Riffault
(5)
,
M. Aijala
(6)
,
M. Bressi
(7)
,
C. Carbone
(8)
,
F. Cavalli
(7)
,
E. Coz
(9)
,
M.J. Cubison
(10)
,
J.K. Gietl
,
Paivi Heikkinen
,
C. Lunder
,
M.C. Minguillon
(11)
,
J. Ovadnevaite
,
E. Petralia
,
L. Poulain
(12)
,
M. Priestman
,
A. Ripoll
,
B. Artinano
,
Dominique Baisnee
,
N. Bonnaire
(1)
,
M. Canagaratna
(3)
,
D.C. Green
(13)
,
Grisa Mocnik
(14)
,
V. Gros
(1)
,
Jean-Eudes Petit
,
Roland Sarda-Esteve
(1)
,
J.T. Jayne
(3)
,
André S.H. Prevot
(4)
1
LSCE -
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
2 INERIS - Institut National de l'Environnement Industriel et des Risques
3 Aerodyne Research Inc.
4 LAC - Laboratory of Atmospheric Chemistry [Paul Scherrer Institute]
5 CERI EE - IMT Nord Europe - Centre for Energy and Environment
6 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
7 IES - JRC Institute for Environment and Sustainability
8 ISAC - CNR Institute of Atmospheric Sciences and Climate
9 CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
10 Tofwerk AG
11 IDAEA - Institute of Environmental Assessment and Water Research
12 TROPOS - Leibniz Institute for Tropospheric Research
13 King‘s College London
14 Aerosol D.O.O
2 INERIS - Institut National de l'Environnement Industriel et des Risques
3 Aerodyne Research Inc.
4 LAC - Laboratory of Atmospheric Chemistry [Paul Scherrer Institute]
5 CERI EE - IMT Nord Europe - Centre for Energy and Environment
6 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
7 IES - JRC Institute for Environment and Sustainability
8 ISAC - CNR Institute of Atmospheric Sciences and Climate
9 CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
10 Tofwerk AG
11 IDAEA - Institute of Environmental Assessment and Water Research
12 TROPOS - Leibniz Institute for Tropospheric Research
13 King‘s College London
14 Aerosol D.O.O
Jean Sciare
- Fonction : Auteur
- PersonId : 770356
- ORCID : 0000-0002-9908-6718
Olivier Favez
- Fonction : Auteur
- PersonId : 1090231
- IdHAL : olivier-favez
- ORCID : 0000-0002-8821-1923
Véronique Riffault
- Fonction : Auteur
- PersonId : 856
- IdHAL : veronique-riffault
- ORCID : 0000-0001-5572-0871
- IdRef : 070462992
J.K. Gietl
- Fonction : Auteur
Paivi Heikkinen
- Fonction : Auteur
C. Lunder
- Fonction : Auteur
J. Ovadnevaite
- Fonction : Auteur
E. Petralia
- Fonction : Auteur
M. Priestman
- Fonction : Auteur
A. Ripoll
- Fonction : Auteur
B. Artinano
- Fonction : Auteur
Dominique Baisnee
- Fonction : Auteur
V. Gros
- Fonction : Auteur
- PersonId : 774640
- ORCID : 0000-0001-6694-3114
Jean-Eudes Petit
- Fonction : Auteur
- PersonId : 735727
- IdHAL : jepetit
- ORCID : 0000-0003-1516-5927
- IdRef : 185077250
Résumé
As part of the EU-FP7 ACTRIS program, a large international intercomparison study of 15 aerosol mass spectrometers (13 Q-ACSM, 1 ToF-ACSM and 1 HR-ToF-AMS) has been performed from 15 Nov. to 2 Dec. 2013 at the LSCE in-situ atmospheric platform which is part of the French SIRTA observatory (http://sirta.ipsl.fr) located at 20km southwest of Paris. During this period, each instrument measured the major non-refractory submicron aerosols (NR-PM1) components (organic matter, nitrate, sulfate, and ammonium) in ambient air. The accuracy of Q-ACSM instruments was determined by comparison with various co-located instruments (TEOM-FDMS, SMPS, OPC, OC-EC Sunset Field analyzer, PILS-IC, aethalometers, nephelometers, and filter sampling). The measurement precision was also evaluated by intercomparing the correlation of absolute mass concentrations for all the NR-PM1 species. The ACSM analytical uncertainties were then estimated by applying a statistical approach in order to evaluate the analytical standard deviations between ACSMs and to highlight any bias or influencing factor on the ACSM measurements. For this purpose, the Z-score indicator representing performance criteria was used making it possible to measure its relative deviation to the assigned value. Fig. 1 summarizes the Z-Score results applied to the 13 Q-ACSM datasets for the major chemical species of the NR-PM1. All the ACSMs present satisfactory Z-Score values (a Z-Score value of 3 is considered as the limit value) whatever the considered parameter highlighting the instrument precision.