Articles | Volume 16, issue 17
https://doi.org/10.5194/amt-16-4115-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4115-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2023
Research article |
| 12 Sep 2023
| 12 Sep 2023
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements
Seyed Ali Sayedain
CORRESPONDING AUTHOR
Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Canada
Norman T. O'Neill
Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, Canada
James King
Département de géographie, Université de Montréal, Montréal, Canada
Patrick L. Hayes
Département de chimie, Université de Montréal, Montréal, Canada
Daniel Bellamy
Département de géographie, Université de Montréal, Montréal, Canada
Richard Washington
Department of Geography, University of Oxford, Oxford, United Kingdom
Sebastian Engelstaedter
Department of Geography, University of Oxford, Oxford, United Kingdom
Andy Vicente-Luis
Département de chimie, Université de Montréal, Montréal, Canada
Jill Bachelder
Département de chimie, Université de Montréal, Montréal, Canada
Malo Bernhard
Département de chimie, Université de Montréal, Montréal, Canada
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Cited articles
AboEl-Fetouh, Y., O'Neill, N. T., Ranjbar, K., Hesaraki, S., Abboud, I., and Sobolewski, P. S.: Climatological-Scale Analysis of Intensive and Semi-intensive Aerosol Parameters Derived From AERONET Retrievals Over the Arctic, J. Geophys. Res.-Atmos., 125, e2019JD031569, https://doi.org/10.1029/2019jd031569, 2020.
Bachelder, J., Cadieux, M., Liu-Kang, C., Lambert, P., Filoche, A.,
Galhardi, J. A., Hadioui, M., Chaput, A., Bastien-Thibault, M. P.,
Wilkinson, K. J., King, J., and Hayes, P. L.: Chemical and microphysical
properties of wind-blown dust near an actively retreating glacier in Yukon,
Canada, Aerosol Sci. Tech., 54, 2–20, https://doi.org/10.1080/02786826.2019.1676394, 2020.
Baldo, C., Formenti, P., Nowak, S., Chevaillier, S., Cazaunau, M., Pangui, E., Di Biagio, C., Doussin, J.-F., Ignatyev, K., Dagsson-Waldhauserova, P., Arnalds, O., MacKenzie, A. R., and Shi, Z.: Distinct chemical and mineralogical composition of Icelandic dust compared to northern African and Asian dust, Atmos. Chem. Phys., 20, 13521–13539, https://doi.org/10.5194/acp-20-13521-2020, 2020.
Bullard, J. E., Matthew, B., Tom, B., John, C., Eleanor, D., Diego, G.,
Santiago, G., Gudrun, G., Richard, H., Robert, M., Cheryl, M.-N., Tom, M.,
Helena, S., and Thorsteinsson, T.: High latitude dust in the Earth system, Rev. Geophys., 54, 447–485, https://doi.org/10.1002/2016RG000518, 2016.
Chiang, C.-W., Nee, J.-B., and Chen, W.-N.: Lidar ratio and depolarization
ratio for cirrus clouds, Appl. Optics, 41, 6470–6476, https://doi.org/10.1364/AO.41.006470, 2002.
Cottle, P., Strawbridge, K., McKendry, I., O'Neill, N., and Saha, A.: A pervasive and persistent Asian dust event over North America during spring 2010: lidar and sunphotometer observations, Atmos. Chem. Phys., 13, 4515–4527, https://doi.org/10.5194/acp-13-4515-2013, 2013.
Crusius, J., Schroth, A. W., Gassó, S., Moy, C. M., Levy, R. C., and
Gatica, M.: Glacial flour dust storms in the Gulf of Alaska: Hydrologic and
meteorological controls and their importance as a source of bioavailable
iron, Geophys. Res. Lett., 38, 1–5, https://doi.org/10.1029/2010GL046573, 2011.
Dagsson-Waldhauserova, P., Renard, J. B., Olafsson, H., Vignelles, D.,
Berthet, G., Verdier, N., and Duverger, V.: Vertical distribution of
aerosols in dust storms during the Arctic winter, Sci. Rep., 9,
1–11, https://doi.org/10.1038/s41598-019-51764-y, 2019.
Dörnbrack, A., Stachlewska, I. S., Ritter, C., and Neuber, R.: Aerosol distribution around Svalbard during intense easterly winds, Atmos. Chem. Phys., 10, 1473–1490, https://doi.org/10.5194/acp-10-1473-2010, 2010.
Dubovik, O. and King, M. D.: 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, 2000.
Esselborn, M., Wirth, M., Fix, A., Weinzierl, B., Rasp, K., Tesche, M., and
Petzold, A.: Spatial distribution and optical properties of Saharan dust
observed by airborne high spectral resolution lidar during SAMUM 2006,
Tellus B, 61, 131–143, https://doi.org/10.1111/j.1600-0889.2008.00394.x, 2009.
Evan, A., Walkowiak, B., and Frouin, R.: On the Misclassification of Dust
as Cloud at an AERONET site in the Sonoran Desert, J. Atmos. Ocean. Tech., 1, 181–191, https://doi.org/10.1175/JTECH-D-21-0114.1, 2021.
Formenti, P., Caquineau, S., Desboeufs, K., Klaver, A., Chevaillier, S., Journet, E., and Rajot, J. L.: Mapping the physico-chemical properties of mineral dust in western Africa: mineralogical composition, Atmos. Chem. Phys., 14, 10663–10686, https://doi.org/10.5194/acp-14-10663-2014, 2014.
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., Smirnov, A., Slutsker, I., Eck, T. F., Holben, B. N., Lewis, J. R., Campbell, J. R., Welton, E. J., Korkin, S. V., and Lyapustin, A. I.: Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements, Atmos. Meas. Tech., 12, 169–209, https://doi.org/10.5194/amt-12-169-2019, 2019.
Groot Zwaaftink, C. D., Grythe, H., Skov, H., and Stohl, A.: Substantial
contribution of northern high-latitude sources to mineral dust in the
Arctic, J. Geophys. Res., 121, 13678–13697, https://doi.org/10.1002/2016JD025482, 2016.
Hansen, J. E. and Travis, L. D.: Light scattering in planetary atmospheres, Space Sci. Rev., 16, 527–610, https://doi.org/10.1007/BF00168069, 1974.
Hesaraki, S., O'Neill, N. T., Lesins, G., Saha, A., Martin, R. V., Fioletov,
V. E., Baibakov, K., and Abboud, I.: Comparisons of a Chemical Transport
Model with a Four-Year (April to September) Analysis of Fine- and
Coarse-Mode Aerosol Optical Depth Retrievals Over the Canadian Arctic,
Atmos.-Ocean, 55, 213–229, https://doi.org/10.1080/07055900.2017.1356263, 2017.
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer,
A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F.,
Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network
and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, https://doi.org/10.1016/S0034-4257(98)00031-5, 1998.
Huck, R., Bryant, R. G., and King, J.: The (mis)identification of high-latitude dust events using remote sensing methods in the Yukon, Canada: a sub-daily variability analysis, Atmos. Chem. Phys., 23, 6299–6318, https://doi.org/10.5194/acp-23-6299-2023, 2023.
Kawai, K., Matsui, H., and Tobo, Y.: Dominant Role of Arctic Dust With High
Ice Nucleating Ability in the Arctic Lower Troposphere, Geophys. Res.
Lett., 50, 1–10, https://doi.org/10.1029/2022GL102470, 2023.
Lind, E. and Gupta, P.: AERONET, Registry of Research Data Repositories [data set], https://doi.org/10.17616/R3VK9T, 2023.
Meinander, O., Dagsson-Waldhauserova, P., Amosov, P., Aseyeva, E., Atkins, C., Baklanov, A., Baldo, C., Barr, S. L., Barzycka, B., Benning, L. G., Cvetkovic, B., Enchilik, P., Frolov, D., Gassó, S., Kandler, K., Kasimov, N., Kavan, J., King, J., Koroleva, T., Krupskaya, V., Kulmala, M., Kusiak, M., Lappalainen, H. K., Laska, M., Lasne, J., Lewandowski, M., Luks, B., McQuaid, J. B., Moroni, B., Murray, B., Möhler, O., Nawrot, A., Nickovic, S., O’Neill, N. T., Pejanovic, G., Popovicheva, O., Ranjbar, K., Romanias, M., Samonova, O., Sanchez-Marroquin, A., Schepanski, K., Semenkov, I., Sharapova, A., Shevnina, E., Shi, Z., Sofiev, M., Thevenet, F., Thorsteinsson, T., Timofeev, M., Umo, N. S., Uppstu, A., Urupina, D., Varga, G., Werner, T., Arnalds, O., and Vukovic Vimic, A.: Newly identified climatically and environmentally significant high-latitude dust sources, Atmos. Chem. Phys., 22, 11889–11930, https://doi.org/10.5194/acp-22-11889-2022, 2022.
Newsom, R. K. and Krishnamurthy, R.: Doppler Lidar (DL) Instrument Handbook, U.S. Department of Energy, Atmospheric Radiation Measurement user facility, Richland, Washington, DOE/SCARM-TR-101, https://doi.org/10.2172/1034640, 2022.
Nickling, W. G.: Eolian Sediment Transport During Dust Storms: Slims River
Valley, Yukon Territory, Can. J. Earth Sci., 15, 1069–1084,
https://doi.org/10.1139/e78-114, 1978.
O'Neill, N. T., Ignatov, A., Holben, B. N., and Eck, T. F.: The lognormal
distribution as a reference for reporting aerosol optical depth statistics;
Empirical tests using multi-year, multi-site AERONET sunphotometer data,
Geophys. Res. Lett., 27, 3333–3336, https://doi.org/10.1029/2000GL011581, 2000.
O'Neill, N. T., Eck, T. F., Smirnov, A., Holben, B. N., and Thulasiraman,
S.: Spectral discrimination of coarse and fine mode optical depth, J. Geophys. Res.-Atmos., 108, 1–15, https://doi.org/10.1029/2002jd002975, 2003.
O'Neill, N. T., Eck, T. F., Reid, J. S., Smirnov, A., and Pancrati, O.:
Coarse mode optical information retrievable using ultraviolet to short-wave
infrared Sun photometry: Application to United Arab Emirates Unified Aerosol
Experiment data, J. Geophys. Res.-Atmos., 113, 1–11,
https://doi.org/10.1029/2007JD009052, 2008.
O'Neill, N. T., Ranjbar, K., Ivănescu, L., Eck, T. F., Reid, J. S., Giles, D. M., Pérez-Ramírez, D., and Chaubey, J. P.: Relationship between the sub-micron fraction (SMF) and fine-mode fraction (FMF) in the context of AERONET retrievals, Atmos. Meas. Tech., 16, 1103–1120, https://doi.org/10.5194/amt-16-1103-2023, 2023.
Pearson, G., Davies, F., and Collier, C.: An analysis of the performance of
the UFAM pulsed Doppler lidar for observing the boundary layer, J.
Atmos. Ocean. Tech., 26, 240–250, https://doi.org/10.1175/2008JTECHA1128.1, 2009.
Ranjbar, K., O'Neill, N. T., Ivanescu, L., King, J., and Hayes, P. L.:
Remote sensing of a high-Arctic, local dust event over Lake Hazen (Ellesmere
Island, Nunavut, Canada), Atmos. Environ., 246, 118102,
https://doi.org/10.1016/j.atmosenv.2020.118102, 2021.
Rozwadowska, A., Zieliński, T., Petelski, T., and Sobolewski, P.: Cluster analysis of the impact of air back-trajectories on aerosol optical properties at Hornsund, Spitsbergen, Atmos. Chem. Phys., 10, 877–893, https://doi.org/10.5194/acp-10-877-2010, 2010.
Sayedain, S. A. and O'Neill, N. T.: OPS particle size distribution, AERONET and Lidar aerosol optical depth data employed in amt-2023-67, Zenodo [data set], https://doi.org/10.5281/zenodo.8310097, 2023.
Sayer, A. M. and Knobelspiesse, K. D.: How should we aggregate data? Methods accounting for the numerical distributions, with an assessment of aerosol optical depth, Atmos. Chem. Phys., 19, 15023–15048, https://doi.org/10.5194/acp-19-15023-2019, 2019.
Shugar, D. H., Clague, J. J., Best, J. L., Schoof, C., Willis, M. J.,
Copland, L., and Roe, G. H.: River piracy and drainage basin reorganization
led by climate-driven glacier retreat, Nat. Geosci., 10, 370–375,
https://doi.org/10.1038/ngeo2932, 2017.
Sinyuk, A., Holben, B. N., Eck, T. F., Giles, D. M., Slutsker, I., Korkin, S., Schafer, J. S., Smirnov, A., Sorokin, M., and Lyapustin, A.: The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2, Atmos. Meas. Tech., 13, 3375–3411, https://doi.org/10.5194/amt-13-3375-2020, 2020.
Sokolik, I. N. and Toon, O. B.: Incorporation of mineralogical composition
into models of the radiative properties of mineral aerosol from UV to IR
wavelengths, J. Geophys. Res.-Atmos., 104, 9423–9444, https://doi.org/10.1029/1998JD200048, 1999.
Taylor, J. R.: An introduction to error analysis: the study of
uncertainties in physical measurements, University Science Books, 327 pp., ISBN 093570275X, 1997.
Weinzierl, B., Petzold, A., Esselborn, M., Wirth, M., Rasp, K., Kandler, K.,
Schütz, L., Koepke, P., and Fiebig, M.: Airborne measurements of dust
layer properties, particle size distribution and mixing state of Saharan
dust during SAMUM 2006, Tellus B, 61, 96–117, https://doi.org/10.1111/j.1600-0889.2008.00392.x, 2009.
Weitkamp, C.: Lidar: range-resolved optical remote sensing of the
atmosphere, in: Springer series in optical sciences, Springer New York, NY,
https://doi.org/10.1007/b106786, 2005.
Yang, S., Preißler, J., Wiegner, M., von Löwis, S., Petersen, G. N.,
Parks, M. M., and Finger, D. C.: Monitoring dust events using doppler lidar
and ceilometer in Iceland, Atmosphere, 11, 1–23,
https://doi.org/10.3390/atmos11121294, 2020.
Short summary
We used (columnar) ground-based remote sensing (RS) tools and surface measurements to characterize local (drainage-basin) dust plumes at a site in the Yukon. Plume height, particle size, and column-to-surface ratios enabled insights into how satellite RS could be used to analyze Arctic-wide dust transport. This helps modelers refine dust impacts in their climate change simulations. It is an important step since local dust is a key source of dust deposition on snow in the sensitive Arctic region.
We used (columnar) ground-based remote sensing (RS) tools and surface measurements to...
