Abstract
In the Western Pacific, the limited in situ observations of aerosol optical depth (AOD) show substantial north–south differences in its spectral distribution, magnitude, seasonal fluctuation, and Angstrom exponent. Two sets of observation data collected in spring 2017 and summer 2019 are used to investigate aerosol size distribution and its sources through the GRASP (Generalized Retrieval of Aerosol and Surface Properties) inversion method and HYSPLIT (HYbrid Single-Particle Lagrange Integrated Trajectory) particle trajectories model. The retrieved aerosol size distribution (normalized by aerosol volume concentration) is homogeneous over the western Pacific Ocean. The aerosol volume concentration (Cv,c) in the coarse mode is substantially higher than that in the fine mode (Cv,f) in this region, indicating that coarse particles predominate. The northernmost section has the highest Cv,f with an average value of 0.04, which is 4.5 times that of the other sections except the sites observed in 2019, because of the Long-Range Transport (LRT) of dust from the Gobi and Mongolian Plateau. The equatorial section has the highest Cv,c with an average value of 0.22 for the coarse mode, which is 1.5 ~ 3 times higher than that of the other section. Its single scattering albedo (SSA) is the smallest in all sections (SSA(440) = 0.95). Analysis displays that the section is affected by elevated-smoke and polluted-continental/smoke types due to the biomass burning around Papua New Guinea. In addition, an AOD(500) with a value of 0.048, which is lower than the traditional oceanic AOD baseline, is obtained in summer 2019. In comparison to it, the projected net shortwave and longwave radiative effect of spring observed LRT high concentration PM10 plume (AOD(550) = 0.09) from Southeast Asia at the sea surface are − 3.1 W m−2 and − 1.4 W m−2 under clear sky conditions, resulting in a net radiative effect of − 1.7 W m−2. As the cold surge frequency increases due to the warming Arctic, more LRT events may be expected as a result of climate change.
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Data Availability
the wind dataset at 10 m above sea level is available on the website: https://data.marine.copernicus.eu/product/WIND_GLO_PHY_L4_MY_012_006/description. The AOD data used in this paper can be shared if acquired by anyone.
References
Alizadeh-Choobari O, Sturman A, Zawar-Reza P (2014) A global satellite view of the seasonal distribution of mineral dust and its correlation with atmospheric circulation. Dyn Atmos Oceans 68:20–34. https://doi.org/10.1016/j.dynatmoce.2014.07.002
Aoki K, Fujiyoshi Y (2003) Sky radiometer measurements of aerosol optical properties over Sapporo, Japan. J Meteorol Soc Jpn 81:493–513. https://doi.org/10.2151/jmsj.81.493
Bagtasa G, Cayetano MG, Yuan CS et al (2019) Long-range transport of aerosols from East and Southeast Asia to northern Philippines and its direct radiative forcing effect. Atmos Environ. https://doi.org/10.1016/j.atmosenv.2019.117007
Chen C, Dubovik O, Fuertes D, et al (2020) Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multiangular polarimetry potential for aerosol monitoring. Earth Syst Sci Data 12. https://doi.org/10.5194/essd-12- 3573-2020
Dubovik O, King MD (2000) A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J Geophys Res Atmos 105:20673–20696. https://doi.org/10.1029/2000JD900282
Dubovik O, Smirnov A, Holben BN et al (2000) Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements. J Geophys Res Atmos 105:9791–9806. https://doi.org/10.1029/2000JD900040
Dubovik O, Holben B, Eck TF et al (2002) Variability of absorption and optical properties of key aerosol types observed in worldwide locations. J Atmos Sci 59:590–608. https://doi.org/10.1175/1520-0469(2002)059%3C0590%3AVOAAOP%3E2.0.C
Dubovik O, Herman M, Holdak A et al (2011) Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations. Atmos Meas Tech 4:975–1018. https://doi.org/10.5194/amt-4-975-2011
Duncan BN, Martin R, Staudt AC et al (2003) Interannual and seasonal variability of biomass burning emissions constrained by satellite observations. J Geophys Res. https://doi.org/10.1029/2002jd002378
Eck TF, Holben BN, Dubovik O et al (2005) Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid-Pacific. J Geophys Res D 110:1–18. https://doi.org/10.1029/2004JD005274
Eck TF, Holben BN, Reid JS et al (2009) Optical properties of boreal region biomass burning aerosols in central Alaska and seasonal variation of aerosol optical depth at an arctic coastal site. J Geophys Res 114:1–14. https://doi.org/10.1029/2008JD010870
Garrett TJ, Zhao C (2006) Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes. Nature 440:787–789. https://doi.org/10.1038/nature04636
Han Z, Li J, Xia X, Zhang R (2012) Investigation of direct radiative effects of aerosols in dust storm season over East Asia with an online coupled regional climate-chemistry-aerosol model. Atmos Environ 54:688–699. https://doi.org/10.1016/j.atmosenv.2012.01.041
Huang J, Fu Q, Su J et al (2009) Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints. Atmos Chem Phys. https://doi.org/10.5194/acp-9-4011-2009
Husar RB, Prospero JM, Stowe LL (1997) Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product. J Geophys Res Atmos 102:16889–16909. https://doi.org/10.1029/96jd04009
Kaufman YJ, Smirnov A, Holben BN, Dubovik O (2001) Baseline maritime aerosol: Methodology to derive the optical thickness and scattering properties. Geophys Res Lett. https://doi.org/10.1029/2001GL013312
Kaufman YJ, Tanré D, Boucher O (2002) A satellite view of aerosols in the climate system. Nature 419:215–223. https://doi.org/10.1038/nature01091
King MD, Byrne DM, Herman BM, Reagan JA (1978) Aerosol size distributions obtained by inversion of spectral optical depth measurements. J Atmos Sci 35:2153–2167. https://doi.org/10.1175/1520-0469(1978)035%3c2153:asdobi%3e2.0.co;2
Lee SJ, Jeong YC, Yeh SW (2020) The lagged effect of anthropogenic aerosol on east asian precipitation during the summer monsoon season. Atmosphere (basel). https://doi.org/10.3390/atmos11121356
Li J, Han Z (2016) Aerosol vertical distribution over east China from RIEMS-Chem simulation in comparison with CALIPSO measurements. Atmos Environ 143:177–189. https://doi.org/10.1016/j.atmosenv.2016.08.045
Li Z, Lau WKM, Ramanathan V et al (2016) Aerosol and monsoon climate interactions over Asia. Rev Geophys 54:866–929. https://doi.org/10.1002/2015RG000500
Li L, Dubovik O, Derimian Y, et al (2019) Retrieval of aerosol components directly from satellite and groundbased measurements. Atmos Chem Phys 19. https://doi.org/10.5194/acp-19-13409-2019
Li L, Derimian Y, Chen C, et al (2022) Climatology of aerosol component concentrations derived from multiangular polarimetric POLDER-3 observations using GRASP algorithm. Earth Syst Sci Data 14:3439– 3469. https://doi.org/10.5194/essd-14-3439-2022
(Lopatin A, Dubovik O, Fuertes D, et al (2021) Synergy processing of diverse groundbased remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radios onde observations. Atmos Meas Tech 14. https://doi.org/10.5194/amt-14-2575-2021
Merkulova L, Freud E, Mårtensson EM et al (2018) Effect of wind speed on Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth over the North Pacific. Atmosphere (basel) 9:10–14. https://doi.org/10.3390/atmos9020060
Qiang Fu, Liou KN (1993) Parameterization of the radiative properties of cirrus clouds. J Atmos Sci. https://doi.org/10.1175/1520-0469(1993)050%3c2008:potrpo%3e2.0.co;2
Qiang-Fu, Liou KN (1992) On the correlated k-distribution method for radiative transfer in nonhomogeneous atmospheres. J Atmos Sci. https://doi.org/10.1175/1520-0469(1992)049%3c2139:otcdmf%3e2.0.co;2
Ramanathan V, Crutzen PJ, Kiehl JT, Rosenfeld D (2001) Atmosphere: aerosols, climate, and the hydrological cycle. Science (1979) 294:2119–2124
Rolph G, Stein A, Stunder B (2017) Real-time environmental applications and display sYstem: READY. Environ Modell Softw. https://doi.org/10.1016/j.envsoft.2017.06.025
Román R, Antuña- Sánchez JC, Cachorro VE, et al (2022) Retrieval of aerosol properties using relative radiance measurements fro m an all-sky camera. Atmos Meas Tech 15. https://doi.org/10.5194/amt-15-407-2022
Sakerin SM, Kabanov DM, Smirnov AV, Holben BN (2008) Aerosol optical depth of the atmosphere over the ocean in the wavelength range 0.37–4 μm. Int J Remote Sens 29:2519–2547. https://doi.org/10.1080/01431160701767492
Sayer AM, Smirnov A, Hsu NC, Holben BN (2012) A pure marine aerosol model, for use in remote sensing applications. J Geophys Res Atmos. https://doi.org/10.1029/2011JD016689
Smirnov A, Holben BN, Slutsker I et al (2009) Maritime aerosol network as a component of aerosol robotic network. J Geophys Res Atmos. https://doi.org/10.1029/2008JD011257
Smirnov A, Holben BN, Giles DM et al (2011) Maritime aerosol network as a component of AERONET—first results and comparison with global aerosol models and satellite retrievals. Atmos Meas Tech 4:583–597. https://doi.org/10.5194/amt-4-583-2011
Stein AF, Draxler RR, Rolph GD et al (2015) Noaa’s hysplit atmospheric transport and dispersion modeling system. Bull Am Meteorol Soc. https://doi.org/10.1175/BAMS-D-14-00110.1
Sun Y, Zhao C (2020) Influence of Saharan dust on the large-scale meteorological environment for development of tropical cyclone over north Atlantic Ocean Basin. J Geophys Res 125:1–14. https://doi.org/10.1029/2020JD033454
Tian Y, Pan X, Yan J et al (2019) Size distribution and depolarization properties of aerosol particles over the northwest pacific and arctic ocean from shipborne measurements during an R/V xuelong cruise. Environ Sci Technol 53:7984–7995. https://doi.org/10.1021/acs.est.9b00245
Torres B, Dubovik O, Fuertes D et al (2017) Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm. Atmos Meas Tech 10:3743–3781. https://doi.org/10.5194/amt-10-3743-2017
Twomey S (1977) The influence of pollution on the shortwave Albedo of Clouds. J Atmos Sci 34:1149–1152. https://doi.org/10.1175/1520-0469(1977)034%3c1149:tiopot%3e2.0.co;2
Wang Y, Fan S, Feng X (2007) Retrieval of the aerosol particle size distribution function by incorporating a priori information. J Aerosol Sci 38:885–901. https://doi.org/10.1016/j.jaerosci.2007.06.005
Wang W, Zhu D, Jing C et al (2022) Spatial distribution and temporal variation of aerosol optical depth in the Western Pacific Ocean. Dyn Atmos Oceans 99:101303. https://doi.org/10.1016/j.dynatmoce.2022.101303
Winker DM, Hunt WH, McGill MJ (2007) Initial performance assessment of CALIOP. Geophys Res Lett. https://doi.org/10.1029/2007GL030135
Winker DM, Vaughan MA, Omar A et al (2009) Overview of the CALIPSO mission and CALIOP data processing algorithms. J Atmos Ocean Technol. https://doi.org/10.1175/2009JTECHA1281.1
Yang Y, Zhao C, Wang Y et al (2021) Multi-source data based investigation of aerosol-cloud interaction over the north China plain and north of the Yangtze plain. J Geophys Res. https://doi.org/10.1029/2021JD035609
Zhang XY, Arimoto R, An ZS (1997) Dust emission from Chinese desert sources linked to variations in atmospheric circulation. J Geophys Res Atmos 102:28041–28047. https://doi.org/10.1029/97jd02300
Zhao C, Qiu Y, Dong X et al (2018a) Negative aerosol-cloud re relationship from aircraft observations over Hebei, China. Earth Space Sci 5:19–29. https://doi.org/10.1002/2017EA000346
Zhao S, Feng T, Tie X et al (2018b) Impact of climate change on siberian high and wintertime air pollution in China in past two decades. Earths Future 6:118–133. https://doi.org/10.1002/2017EF000682
Zhao C, Yang Y, Fan H et al (2020) Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau. Natl Sci Rev 7:492–495. https://doi.org/10.1093/nsr/nwz184
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Thanks for funding from Global Change and Air-Sea Interaction II (GASI-01-NPAC-STsum) and Global change and Air-Sea Interaction I (GASI-02-PAC-STMSspr).
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Wang, W., Jing, C., Zhu, D. et al. Features and sources of aerosol properties over the western Pacific Ocean based on shipborne measurements. Meteorol Atmos Phys 135, 24 (2023). https://doi.org/10.1007/s00703-023-00960-7
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DOI: https://doi.org/10.1007/s00703-023-00960-7