Dataset Edition

Présentation générale
Nom du jeu de donnéesAEROCLO-sA F20 SPP300
DOI10.6096/AEROCLO.1756
Créé le2018-03-26
Projet(s)AEROCLO
Date de début (yyyy-mm-dd)2017-09-05Date de fin (yyyy-mm-dd)2017-09-12
Contact(s)

Accès aux données Dataset as provided by the Principal Investigator
History

ISSUE2018-03-27

Description du jeu de données
Résumé
Description de l'instrument
Type d'instrumentIn Situ/Laboratory Instruments > Chemical Meters/Analyzers
FabricantDMT - http://www.dropletmeasurement.com
Information géographique
Site 1
Mot-clé de localistionCONTINENT > AFRICA > SOUTHERN AFRICA
SiteFalcon 20 Safire
Type de plateformeAIRCRAFT > F-FALCON 20
Instrument environmentThe computer controlling the in situ probes on the Falcon-20 experienced a time lag which was only noticed prior to the last two flights, fs170014 and fs170015. The correlation between the vertical profiles of aerosol extinction at 532 nm from the lidar and the merged size distribution from the in situ probes was used to determine the time lag during each flight. This was done by applying a series of time lags between 0s and 160s and observing the maximum correlation. A clear trend in the time lag becoming larger from the beginning of the campaign was observed. The following table indicates the time lag that yielded the maximum coefficient of determination and the value that has been applied to the in situ data. Flight: Time lag (s) fs170006: 90 fs170007 : NA fs170008 : 90 fs170009 : 90 fs170010 : 100 fs170011: 100 fs170012: 125 fs170013: 130 fs170014: 0 fs170015: 0
Paramètre mesuré
Nom du paramètreAerosol Particle Properties
Mot-clé du paramètreAtmosphere > Aerosols > Aerosol Particle Properties
Unitéparticles/cm³
Méthodologie d'acquisition et qualitéSize bins are nominal and not corrected for the ambient refractive index. The computer controlling the in situ probes on the Falcon-20 experienced a time lag which was only noticed prior to the last two flights, fs170014 and fs170015. The correlation between the vertical profiles of aerosol extinction at 532 nm from the lidar and the merged size distribution from the in situ probes was used to determine the time lag during each flight. This was done by applying a series of time lags between 0s and 160s and observing the maximum correlation. A clear trend in the time lag becoming larger from the beginning of the campaign was observed. The following table indicates the time lag that yielded the maximum coefficient of determination and the value that has been applied to the in situ data. Flight: Time lag (s) fs170006: 90 fs170007 : NA fs170008 : 90 fs170009 : 90 fs170010 : 100 fs170011: 100 fs170012: 125 fs170013: 130 fs170014: 0 fs170015: 0
Date de début (yyyy-mm-dd)Date de fin (yyyy-mm-dd)
Précision du capteur / Incertitude
Information sur l'utilisation des données
Conditions d'utilisation des donnéesThis work was supported by the French National Research Agency under grant agreement n° ANR-15-CE01-0014-01, the French national programme LEFE/INSU, the Programme national de Télédetection Spatiale (PNTS, http://www.insu.cnrs.fr/pnts), grants n° PNTS-2016-02 and PNTS-2016-14, the French National Agency for Space Studies (CNES), and the South African National Research Foundation (NRF) under grant UID 105958. The research leading to these results has received funding from the European Union's 7th Framework Programme (FP7/2014-2018) under EUFAR2 contract n°312609". Airborne data was obtained using the F20 Atmospheric Research Aircraft managed by Safire, which is a joint facility of the CNRS, Météo-France and the CNES.
Charte d'accès aux donnéesAEROCLO data policy
Format des fichiers de données