Articles | Volume 21, issue 22
https://doi.org/10.5194/acp-21-16645-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-16645-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Nov 2021
Research article |
| 15 Nov 2021
| 15 Nov 2021
Microwave Limb Sounder (MLS) observations of biomass burning products in the stratosphere from Canadian forest fires in August 2017
School of GeoSciences, The University of Edinburgh, Edinburgh, UK
Michael J. Schwartz
NASA Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, CA, USA
Michelle L. Santee
NASA Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, CA, USA
George P. Kablick III
Remote Sensing
Division, US Naval Research Lab, Washington DC, USA
Michael D. Fromm
Remote Sensing
Division, US Naval Research Lab, Washington DC, USA
Nathaniel J. Livesey
NASA Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, CA, USA
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Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011. a, b
Ansmann, A., Baars, H., Chudnovsky, A., Mattis, I., Veselovskii, I., Haarig, M., Seifert, P., Engelmann, R., and Wandinger, U.: Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017, Atmos. Chem. Phys., 18, 11831–11845, https://doi.org/10.5194/acp-18-11831-2018, 2018. a, b, c
Baars, H., Ansmann, A., Ohneiser, K., Haarig, M., Engelmann, R., Althausen, D., Hanssen, I., Gausa, M., Pietruczuk, A., Szkop, A., Stachlewska, I. S., Wang, D., Reichardt, J., Skupin, A., Mattis, I., Trickl, T., Vogelmann, H., Navas-Guzmán, F., Haefele, A., Acheson, K., Ruth, A. A., Tatarov, B., Müller, D., Hu, Q., Podvin, T., Goloub, P., Veselovskii, I., Pietras, C., Haeffelin, M., Fréville, P., Sicard, M., Comerón, A., Fernández García, A. J., Molero Menéndez, F., Córdoba-Jabonero, C., Guerrero-Rascado, J. L., Alados-Arboledas, L., Bortoli, D., Costa, M. J., Dionisi, D., Liberti, G. L., Wang, X., Sannino, A., Papagiannopoulos, N., Boselli, A., Mona, L., D'Amico, G., Romano, S., Perrone, M. R., Belegante, L., Nicolae, D., Grigorov, I., Gialitaki, A., Amiridis, V., Soupiona, O., Papayannis, A., Mamouri, R.-E., Nisantzi, A., Heese, B., Hofer, J., Schechner, Y. Y., Wandinger, U., and Pappalardo, G.: The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET, Atmos. Chem. Phys., 19, 15183–15198, https://doi.org/10.5194/acp-19-15183-2019, 2019. a
Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M.,
Cochrane, M. A., D'Antonio, C. M., DeFries, R. S., Doyle,
J. C., Harrison, S. P., Johnston, F. H., Keeley, J. E., Krawchuk, M. A.,
Kull, C. A., Marston, J. B., Moritz, M. A., Prentice, I. C., Roos, C. I.,
Scott, A. C., Swetnam, T. W., van der Werf, G. R., and Pyne, S. J.: Fire in
the Earth System, Science, 324, 481–484, https://doi.org/10.1126/science.1163886,
2009. a
British Columbia Wildfire Service: Fire Perimeters – Historical,
available at: https://catalogue.data.gov.bc.ca/dataset/22c7cb44-1463-48f7-8e47-88857f207702 (last access: 29 June 2019), 2018. a
Das, S., Colarco, P. R., Oman, L. D., Taha, G., and Torres, O.: The long-term transport and radiative impacts of the 2017 British Columbia pyrocumulonimbus smoke aerosols in the stratosphere, Atmos. Chem. Phys., 21, 12069–12090, https://doi.org/10.5194/acp-21-12069-2021, 2021. a
Dowdy, A. J., Fromm, M. D., and McCarthy, N.: Pyrocumulonimbus lightning and
fire ignition on Black Saturday in southeast Australia, J. Geophys. Res.-Atmos., 122, 7342–7354, https://doi.org/10.1002/2017JD026577, 2017. a
FLEXPART: https://www.flexpart.eu/, last access: 15 October 2021. a
Fromm, M.: Interactive comment on “Transport of the 2017 Canadian wildfire
plume to the tropics and global stratosphere via the Asian monsoon
circulation” by Corinna Kloss et al., Atmos. Chem. Phys. Discuss.,
https://doi.org/10.5194/acp-2019-204-SC1, 2019. a
Fromm, M. D., Kablick, G. P., Peterson, D. A., Kahn, R. A., Flower, V. J. B.,
and Seftor, C. J.: Quantifying the Source Term and Uniqueness of the August
12, 2017 Pacific Northwest PyroCb Event, J. Geophys. Res.-Atmos., 126, e2021JD034928, https://doi.org/10.1029/2021JD034928, 2021. a, b
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146,
1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hu, Q., Goloub, P., Veselovskii, I., Bravo-Aranda, J.-A., Popovici, I. E., Podvin, T., Haeffelin, M., Lopatin, A., Dubovik, O., Pietras, C., Huang, X., Torres, B., and Chen, C.: Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France, Atmos. Chem. Phys., 19, 1173–1193, https://doi.org/10.5194/acp-19-1173-2019, 2019. a, b
Jiang, J. H., Su, H., Pawson, S., Liu, H.-C., Read, W. G., Waters, J. W.,
Santee, M. L., Wu, D. L., Schwartz, M. J., Livesey, N. J., Lambert, A.,
Fuller, R. A., and Lee, J. N.: Five year (2004–2009) observations of upper
tropospheric water vapor and cloud ice from MLS and comparisons with
GEOS-5 analyses, J. Geophys. Res.-Atmos., 115,
D15103, https://doi.org/10.1029/2009JD013256, 2010. a
Kablick III, G. P., Allen, D. R., Fromm, M. D., and Nedoluha, G. E.:
Australian pyroCb smoke generates synoptic-scale stratospheric anticyclones,
Geophys. Res. Lett., 47, e2020GL088101,
https://doi.org/10.1029/2020GL088101, 2020. a, b, c
Khaykin, S., Legras, B., Bucci, S., Sellitto, P., Isaksen, L., Tencé, F.,
Bekki, S., Bourassa, A., Rieger, L., Zawada, D., Jumelet, J., and
Godin-Beekmann, S.: The 2019/20 Australian wildfires generated a persistent
smoke-charged vortex rising up to 35 km altitude, Commun. Earth Environ., 1,
22, https://doi.org/10.1038/s43247-020-00022-5, 2020. a, b, c, d
Kloss, C., Berthet, G., Sellitto, P., Ploeger, F., Bucci, S., Khaykin, S., Jégou, F., Taha, G., Thomason, L. W., Barret, B., Le Flochmoen, E., von Hobe, M., Bossolasco, A., Bègue, N., and Legras, B.: Transport of the 2017 Canadian wildfire plume to the tropics via the Asian monsoon circulation, Atmos. Chem. Phys., 19, 13547–13567, https://doi.org/10.5194/acp-19-13547-2019, 2019. a, b, c
Lambert, A., Read, W., Livesey, N., Santee, M., Manney, G., Froidevaux, L., Wu,
D., Schwartz, M., Pumphrey, H., Jimenez, C., Nedoluha, G., Cofield, R.,
Cuddy, D., Daffer, W., Drouin, B., Fuller, R., Jarnot, R., Knosp, B.,
Pickett, H., Perun, V., Snyder, W., Stek, P., Thurstans, R., Wagner, P.,
Waters, J., Jucks, K., Toon, G., Stachnik, R., Bernath, P., Boone, C.,
Walker, K., Urban, J., Murtagh, D., Elkins, J., and Atlas, E.: Validation of
the Aura Microwave Limb Sounder middle atmosphere water vapor and nitrous
oxide measurements, J. Geophys. Res, 112, D24S35, https://doi.org/10.1029/2007JD008752,
2007. a
Lambert, A., Read, W., and Livesey, N.:
MLS/Aura Level 2 Water Vapor (H2O) Mixing Ratio
V004,
Greenbelt, MD, USA, Goddard Earth Sciences Data and
Information Services Center (GES DISC) [data set],
https://doi.org/10.5067/Aura/MLS/DATA2009, 2015. a
Lestrelin, H., Legras, B., Podglajen, A., and Salihoglu, M.: Smoke-charged vortices in the stratosphere generated by wildfires and their behaviour in both hemispheres: comparing Australia 2020 to Canada 2017, Atmos. Chem. Phys., 21, 7113–7134, https://doi.org/10.5194/acp-21-7113-2021, 2021. a, b, c, d, e, f
Livesey, N. J., Fromm, M. D., Waters, J. W., Manney, G. L., Santee, M. L., and
Read., W. G.: Enhancements in lower stratospheric CH3CN observed by
UARS MLS following boreal forest fires., J. Geophys. Res., 109, D06308,
https://doi.org/10.1029/2003JD004055, 2004. a
Livesey, N. J., Filipiak, M., Froidevaux, L., Read, W., Lambert, A., Santee,
M., Jiang, J., Pumphrey, H., Waters, J., Cofield, R., Cuddy, D., Daffer, W.,
Drouin, B., Fuller, R., Jarnot, R., Jiang, Y., Knosp, B., Li, Q., Perun, V.,
Schwartz, M., Snyder, W., Stek, P., Thurstans, R., Wagner, P., Avery, M.,
Browell, E., Cammas, J.-P., Christensen, L., Diskin, G., Gao, R.-S., Jost,
H.-J., Loewenstein, M., Lopez, J., Nedelec, P., Osterman, G., Sachse, G., and
Webster, C.: Validation of Aura Microwave Limb Sounder O3 and CO
observations in the upper troposphere and lower stratosphere, J. Geophys.
Res, 113, D15S02, https://doi.org/10.1029/2007JD008805, 2008. a
Livesey, N. J., Read, W. G., Wagner, P. A., Froidevaux, L., Lambert, A.,
Manney, G. L., Valle, L. M., Pumphrey, H. C., Santee, M. L., Schwartz, M. J.,
Wang, S., Fuller, R. A., Jarnot, R. F., Knosp, B. W., Martinez, E., and Lay,
R. R.: Earth Observing System (EOS) Aura Microwave Limb Sounder (MLS)
Version 4.2x Level 2 and 3 data quality and description document., Tech. Rep.
JPL D-33509 Rev E, NASA Jet Propulsion Laboratory California Institute of
Technology, Pasadena, California, 91109-8099,
available at: http://mls.jpl.nasa.gov (last access: 15 October 2021), 2020. a, b, c, d, e, f
Loughman, R., Bhartia, P. K., Chen, Z., Xu, P., Nyaku, E., and Taha, G.: The Ozone Mapping and Profiler Suite (OMPS) Limb Profiler (LP) Version 1 aerosol extinction retrieval algorithm: theoretical basis, Atmos. Meas. Tech., 11, 2633–2651, https://doi.org/10.5194/amt-11-2633-2018, 2018. a
NASA, GES DISC: available at https://disc.gsfc.nasa.gov/, last access: 15 October 2021. a
NASA/LARC/SD/ASDC: SAGE III/ISS L2 Solar Event Species Profiles (Native) V051, NASA [data set],
https://doi.org/10.5067/ISS/SAGEIII/SOLAR_BINARY_L2-V5.1, 2017. a
National Centers for Environmental Prediction: NCEP FNL Operational Model
Global Tropospheric Analyses, continuing from July 1999, NCAR/UCAR Research Data Archive [data set], https://doi.org/10.5065/D6M043C6, 2000. a, b
NOAA: Comprehensive large array-data stewardship system (CLASS), available at: https://www.avl.class.noaa.gov/saa/products/welcome, last access: 8 November 2021. a
Peterson, D. A., Fromm, M. D., Solbrig, J. E., Hyer, E. J., Surratt, M. L., and
Campbell, J. R.: Detection and Inventory of Intense Pyroconvection in Western
North America using GOES-15 Daytime Infrared Data, J. Appl. Meteorol. Climatol., 56, 471–493, https://doi.org/10.1175/JAMC-D-16-0226.1,
2017. a
Peterson, D. A., Campbell, J. R., Hyer, E. J., Fromm, M. D., Kablick III,
G. P., Cossuth, J. H., and DeLand, M. T.: Wildfire-driven thunderstorms cause
a volcano-like stratospheric injection of smoke, Nature Partner Journal:
Climate and Atmospheric Science, 1, 30, https://doi.org/10.1038/s41612-018-0039-3,
2018. a, b, c, d, e, f, g, h, i, j
Pumphrey, H. C., Filipiak, M. J., Livesey, N. J., Schwartz, M. J., Boone, C.,
Walker, K. A., Bernath, P., Ricaud, P., Barret, B., Clerbaux, C., Jarnot,
R. F., Kovalenko, L. J., Manney, G. L., and Waters, J. W.: Validation of
middle-atmosphere carbon monoxide retrievals from MLS on Aura, J. Geophys. Res., 112, D24S38, https://doi.org/10.1029/2007JD008723, 2007. a
Pumphrey, H. C., Santee, M. L., Livesey, N. J., Schwartz, M. J., and Read, W. G.: Microwave Limb Sounder observations of biomass-burning products from the Australian bush fires of February 2009, Atmos. Chem. Phys., 11, 6285–6296, https://doi.org/10.5194/acp-11-6285-2011, 2011. a, b, c, d, e, f, g, h, i
Pumphrey, H. C., Read, W. G., Livesey, N. J., and Yang, K.: Observations of volcanic SO2 from MLS on Aura, Atmos. Meas. Tech., 8, 195–209, https://doi.org/10.5194/amt-8-195-2015, 2015. a
Pumphrey, H. C., Glatthor, N., Bernath, P. F., Boone, C. D., Hannigan, J. W., Ortega, I., Livesey, N. J., and Read, W. G.: MLS measurements of stratospheric hydrogen cyanide during the 2015–2016 El Niño event, Atmos. Chem. Phys., 18, 691–703, https://doi.org/10.5194/acp-18-691-2018, 2018. a, b
Randerson, J. T., van der Werf, G. R., Giglio, L., Collatz, G. J., and
Kasibhatla, P. S.: Global Fire Emissions Database, Version 4.1 (GFEDv4), Oak Ridge
National Laboratory DAAC
[data set], https://doi.org/10.3334/ORNLDAAC/1293, 2017. a
Reisner, J., D'Angelo, G., Koo, E., Even, W., Hecht, M., Hunke, E., Comeau, D.,
Bos, R., and Cooley, J.: Climate Impact of a Regional Nuclear Weapons
Exchange: An Improved Assessment Based On Detailed Source Calculations, J.
Geophys. Res.-Atmos., 123, 2752–2772, https://doi.org/10.1002/2017JD027331,
2018. a
Rinsland, C. P., Dufour, G., Boone, C. D., Bernath, P. F., Chiou, L.,
Pierre-Fran c. C., Turquety, S., and Clerbaux, C.: Satellite boreal
measurements over Alaska and Canada during June–July 2004: Simultaneous
measurements of upper tropospheric CO, C2H6, HCN, CH3Cl, CH4,
C2H2, CH3OH, HCOOH, OCS, and SF6 mixing ratios, Global
Biogeochem. Cy., 21, GB3008, https://doi.org/10.1029/2006GB002795, 2007. a
Robock, A., Oman, L., Stenchikov, G. L., Toon, O. B., Bardeen, C., and Turco, R. P.: Climatic consequences of regional nuclear conflicts, Atmos. Chem. Phys., 7, 2003–2012, https://doi.org/10.5194/acp-7-2003-2007, 2007. a, b
Santee, M., Livesey, N., Manney, G., Lambert, A., and Read, W.: Methyl chloride
from the Aura Microwave Limb Sounder: First global climatology and assessment
of variability in the upper troposphere and stratosphere, J. Geophys. Res.-Atmos., 118, 13532–13560, https://doi.org/10.1002/2013JD020235, 2013. a
Santee, M. L., Manney, G. L., Livesey, N. J., Schwartz, M. J., Neu, J. L., and
Read, W. G.: A comprehensive overview of the climatological composition of
the Asian summer monsoon anticyclone based on 10 years of Aura Microwave
Limb Sounder measurements, J. Geophys. Res.-Atmos.,
122, 5491–5514, https://doi.org/10.1002/2016JD026408, 2017. a
Schwartz, M., Pumphrey, H., Livesey, N., and
Read, W.:
MLS/Aura Level 2 Carbon Monoxide (CO) Mixing Ratio
V004,
Greenbelt, MD, USA, Goddard Earth Sciences Data and
Information Services Center (GES DISC) [data set],
https://doi.org/10.5067/Aura/MLS/DATA2005, 2015. a
Schwartz, M. J., Pumphrey, H. C., Santee, M. L., Manney, G. L., Lambert, A.,
Livesey, N. J., Millán, L., Neu, J. L., Read, W. J., and Werner, F.:
Australian New Year's PyroCb impact on Stratospheric Composition,
Geophys. Res. Lett, 47, e2020GL090831, https://doi.org/10.1029/2020GL090831, 2020. a, b, c, d
Simpson, I. J., Akagi, S. K., Barletta, B., Blake, N. J., Choi, Y., Diskin, G. S., Fried, A., Fuelberg, H. E., Meinardi, S., Rowland, F. S., Vay, S. A., Weinheimer, A. J., Wennberg, P. O., Wiebring, P., Wisthaler, A., Yang, M., Yokelson, R. J., and Blake, D. R.: Boreal forest fire emissions in fresh Canadian smoke plumes: C1-C10 volatile organic compounds (VOCs), CO2, CO, NO2, NO, HCN and CH3CN, Atmos. Chem. Phys., 11, 6445–6463, https://doi.org/10.5194/acp-11-6445-2011, 2011. a
Stocks, B. J., Mason, J. A., Todd, J. B., Bosch, E. M., Wotton, B. M., Amiro,
B. D., Flannigan, M. D., Hirsch, K. G., Logan, K. A., Martell, D. L., and
Skinner, W. R.: Large forest fires in Canada, 1959–1997, J. Geophys. Res,
108, 8149, https://doi.org/10.1029/2001JD000484, 2003. a
Stohl, A., Wotawa, G., Siebert, G., and Kromp-Kolb, H.: Interpolation errors in
wind fields as a function of spatial and temporal resolution and their impact
on different types of kinematic trajectories, J. Appl. Meteor., 34,
2149–2165, 1995. a
Stohl, A., Forster, C., Frank, A., Seibert, P., and Wotawa, G.: Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2, Atmos. Chem. Phys., 5, 2461–2474, https://doi.org/10.5194/acp-5-2461-2005, 2005. a
Torres, O., Bhartia, P. K., Taha, G., Jethva, H., Das, S., Colarco, P.,
Krotkov, N., Omar, A., and Ahn, C.: Stratospheric Injection of Massive Smoke
Plume From Canadian Boreal Fires in 2017 as Seen by DSCOVR-EPIC,
CALIOP, and OMPS-LP Observations, J. Geophys. Res.-Atmos., 125,
e2020JD032579, https://doi.org/10.1029/2020JD032579, 2020. a
van Ravenzwaaij, D., Cassey, P., and Brown, S. D.: A simple introduction to
Markov Chain Monte–Carlo sampling, Psychon. Bull. Rev., 25, 143–154,
https://doi.org/10.3758/s13423-016-1015-8, 2018.
a
Waters, J. W., Froidevaux, L., Harwood, R., Jarnot, R., Pickett, H., Read, W.,
Siegel, P., Cofield, R., Filipiak, M., Flower, D., Holden, J., Lau, G.,
Livesey, N., Manney, G., Pumphrey, H., Santee, M., Wu, D., Cuddy, D., Lay,
R., Loo, M., Perun, V., Schwartz, M., Stek, P., Thurstans, R., Boyles, M.,
Chandra, S., Chavez, M., Chen, G.-S., Chudasama, B., Dodge, R., Fuller, R.,
Girard, M., Jiang, J., Jiang, Y., Knosp, B., LaBelle, R., Lam, J., Lee, K.,
Miller, D., Oswald, J., Patel, N., Pukala, D., Quintero, O., Scaff, D.,
Snyder, W., Tope, M., Wagner, P., and Walch, M.: The Earth Observing System
Microwave Limb Sounder (EOS MLS) on the Aura satellite, IEEE T. Geosci. Remote, 44, 1106–1121, 2006. a, b
Williams, A. P. and Abatzoglou, J. T.: Recent Advances and Remaining
Uncertainties in Resolving Past and Future Climate Effects on Global Fire
Activity, Curr. Clim. Change Rep., 2, 1–14, https://doi.org/10.1007/s40641-016-0031-0,
2016. a, b
Williams, A. P., Abatzoglou, J. T., Gershunov, A., Guzman-Morales, J., Bishop,
D. A., Balch, J. K., and Lettenmaier, D. P.: Observed Impacts of
Anthropogenic Climate Change on Wildfire in California, Earth's Future, 7,
892–910, https://doi.org/10.1029/2019EF001210, 2019. a
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt,
W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP Data
Processing Algorithms, J. Atmos. Ocean. Technol., 26,
2310–2323, https://doi.org/10.1175/2009JTECHA1281.1, 2009. a
Yu, P., Toon, O. B., Bardeen, C. G., Zhu, Y., Rosenlof, K. H., Portmann, R. W.,
Thornberry, T. D., Gao, R.-S., Davis, S. M., Wolf, E. T., de Gouw, J.,
Peterson, D. A., Fromm, M. D., and Robock, A.: Black carbon lofts wildfire
smoke high into the stratosphere to form a persistent plume, Science, 365,
587–590, https://doi.org/10.1126/science.aax1748, 2019. a, b, c
Zuev, V. V., Gerasimov, V. V., Nevzorov, A. V., and Savelieva, E. S.: Lidar observations of pyrocumulonimbus smoke plumes in the UTLS over Tomsk (Western Siberia, Russia) from 2000 to 2017, Atmos. Chem. Phys., 19, 3341–3356, https://doi.org/10.5194/acp-19-3341-2019, 2019. a, b
Short summary
Forest fires in British Columbia in August 2017 caused an unusual phenomonon: smoke and gases from the fires rose quickly to a height of 10 km. From there, the pollution continued to rise more slowly for many weeks, travelling around the world as it did so. In this paper, we describe how we used data from a satellite instrument to observe this polluted volume of air. The satellite has now been working for 16 years but has observed only three events of this type.
Forest fires in British Columbia in August 2017 caused an unusual phenomonon: smoke and gases...
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