Abstract

Abstract. The POLIPHON (polarization lidar photometer networking) method is a powerful pathway to retrieve the height profiles of dust-related particle mass and ice-nucleating particle (INP) concentrations. The conversion factors fitted from the sun photometer observation data are the major part of the POLIPHON computations, which can convert the polarization-lidar-derived dust extinction coefficients into dust-related particle mass and INP concentrations. For the central Chinese megacity of Wuhan (30.5∘ N, 114.4∘ E), located at the downstream area several thousands of kilometers far away from the source regions of Asian dust, dust particles always mix with other aerosols from local emissions. Therefore, very few dust case data sets can be available when using the column-integrated Ångström exponent (for 440–870 nm) <0.3 and aerosol optical depth (at 532 nm) >0.1 recorded by a sun photometer as the filtering criteria. Instead, we present another dust case data set screening scheme that applies the simultaneous polarization lidar observation to verify the occurrence of dust. Based on the 33 dust-intrusion days identified during 2011–2013, the extinction-to-volume (cv,d) and extinction-to-large particle (with radius >250 nm) number concentration (c250,d) conversion factors are determined to be (0.52±0.12)×10-12Mmm3m-3 and 0.19±0.05 Mm cm−3, respectively. The c250,d for Wuhan is 27 % larger than that observed at Lanzhou SACOL (36.0∘ N, 104.1∘ E), a site closer to the Gobi Desert, and tends to be closer to those observed in North Africa and the Middle East, indicating dust aerosols from these two sources are also possibly involved in the dust events observed over Wuhan. As a comparison, the conversion factor c290,c of 0.11±0.02Mmcm-3 for continental aerosol is much smaller than c250,d, indicating that there is no significant influence of urban aerosols on the retrievals of dust-related conversion factor over Wuhan. The conversion factors are applied in a dust event in Wuhan to reveal the typical dust-related immersion-mode INP concentration over East Asian cities. The proposed dust case data set screening scheme may potentially be extended to the other polluted city sites that are more influenced by mixed dust.

Highlights

  • Aerosol–cloud interactions, named “aerosol indirect effects”, significantly impact the global climate (Rosenfeld et al, 2014)

  • At temperatures ranging from −38 to 0 ◦C, ice crystals within the mixed-phase cloud are primarily produced via heterogeneous freezing, with some types of insoluble aerosols acting as ice-nucleating particles (INPs) (Cantrell and Heymsfield, 2005)

  • Αd can be related to the dust mass concentration and dust-related ice-nucleating particle concentration (INPC) with the conversion factors obtained by sun photometer data and corresponding parameterizations

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Summary

Introduction

Aerosol–cloud interactions, named “aerosol indirect effects”, significantly impact the global climate (Rosenfeld et al, 2014). The POLIPHON (polarization lidar photometer networking) method, first introduced by Ansmann et al (2012), is able to retrieve the height profiles of dust-related INPC and dust mass concentration In this approach, two remote sensing instruments, a polarization lidar and a sun photometer, are employed together with INP parameterization schemes (Mamouri and Ansmann, 2014, 2015, 2016; Mamali et al, 2018; Ansmann et al, 2019a, b, 2021; Hofer et al, 2020). To retrieve the dust-related POLIPHON conversion factors for Wuhan, we present another dust case selection scheme by means of simultaneous ground-based polarization observations, which can verify the dust occurrence Using this method, the height profiles of INPC and dust mass concentration can be successfully obtained at Wuhan.

Polarization lidar
Sun photometer and GRASP algorithm
Radiosonde data
CALIOP
HYSPLIT model
Methodology
Retrieval scheme of dust mass concentration and dust-related INPC
POLIPHON conversion factors over Wuhan
Case study of a dust-related heterogeneous nucleation process
Findings
Discussions and conclusions
Full Text
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