Thomas Müller and Alfred Wiedensohler

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Presentation transcript:

Development of reference instruments for multi-wavelength absorption measurements Thomas Müller and Alfred Wiedensohler Leibniz Institute for Tropospheric Research, Leipzig ACTRIS-2 WP3 Workshop, Bologna, October 2016

Method and combined uncertainty absorption = extinction - scattering extinction scattering Instrument(s) Three CAPS PMex at 447, 530 and 655 nm Three wavelength Nephelometer Aurora4000, 450, 525, 635 nm Adjustment of wavelengths Interpolation rule based on Ångström exponents Contributions to combined uncertainty of absorption Noise Baseline drift Gas absorption (ambient trace gases) Path length calibration Non-linearity Temperature stability Calibration factor Truncation Corrections: Except ambient gas absorption (O3, NO2,..), all effects contribution to the combined uncertainty can be corrected. Corrections for minimizing base line drift are currently under development (cf. page 4).

Calibration and Quality assurance Zero adjust CO2 span calibration Calibration of Scattering measurement Calibration of CAPS’s effective pathlengths and non linearity. Comparing light scattering and extinction for non absorbing aerosols. Calibration of Extinction measurement Daily: Nephelometer zero Weekly: Nephelometer span and CAPS’s path lengths Weekly: Check for noise levels and baseline drift. Single scattering albedos higher 0.9 require more frequent checks. A clear recommendation is not yet possible. Quality assurance (checks and calibrations)

CAPS baseline drift Extinction and baseline signal for particle free air ‘Jumps’ in baseline signal (> 0.15 Mm-1) Obviously, previous baseline measurement induced an irreversible change of baseline signal Baseline drift < 0.15 Mm-1 is compensated by instrument prev. baseline meas. Methods for corrections and flagging are under development

Non-linearity of CAPS Non-linearity was determined several times in the last 18 months. No significant change was observed.

Combined uncertainty for 1 minute averages Theoretically, longer averaging times would reduce instrumental noise and uncertainty. But, baseline drift on time scales of 1 to 15 minutes limits the benefit of longer averaging times. Analysis of baseline drift and development of methods correction and flagging is ongoing.