Processes of intraseasonal snow cover variations over the eastern China during boreal winter
This study reveals that the dominant time scale of intraseasonal snow cover variation over the eastern China is within 30 days by using the latest satellite snow cover data from the moderate resolution imaging spectroradiometer (MODIS)/Terra product. The leading empirical orthogonal function (EOF) m...
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John Wiley & Sons, Ltd.
2019
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Online Access: | http://hdl.handle.net/2027.42/149343 https://doi.org/10.1002/asl.901 |
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ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/149343 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
University of Michigan: Deep Blue |
op_collection_id |
ftumdeepblue |
language |
unknown |
topic |
the eastern China moisture fluxes intraseasonal snow cover variation the Arctic Oscillation Atmospheric and Oceanic Sciences Engineering |
spellingShingle |
the eastern China moisture fluxes intraseasonal snow cover variation the Arctic Oscillation Atmospheric and Oceanic Sciences Engineering Song, Lei Wu, Renguang Zhu, Jialei Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
topic_facet |
the eastern China moisture fluxes intraseasonal snow cover variation the Arctic Oscillation Atmospheric and Oceanic Sciences Engineering |
description |
This study reveals that the dominant time scale of intraseasonal snow cover variation over the eastern China is within 30 days by using the latest satellite snow cover data from the moderate resolution imaging spectroradiometer (MODIS)/Terra product. The leading empirical orthogonal function (EOF) mode of 10–30‐day snow cover variation during boreal winter from 2004 to 2018 over the eastern China has two centers: northwest part of the eastern China and north of the Yangtze River. Composite analysis based on 25 snow events identified from normalized leading principal time series (PC1) indicates that the southeastward intrusion of surface anticyclonic anomalies and accompanying low temperature anomalies provide the temperature condition for snow events. Negative Arctic Oscillation induces mid‐latitude wave train and leads to the development of surface anticyclonic anomalies and upper‐level cyclonic anomalies over East Asia. The cyclonic anomalies induce ascending motion and anomalous convergence of water vapor fluxes over the eastern China, which supplies moisture for snowfall.(a) Time evolution of composite NAO index (pink curve), AO index (blue curve), regional mean surface air temperature anomalies (°C) (black curve) and snow cover anomalies (%) (red curve) in the region of 20–40°N, 105–120°E. (b) Time evolution of composite anomalies of regional mean snow cover tendency (%/day) (black curve), vertical velocity (Pa/s) (blue curve), and divergence of water vapor flux integral from 1,000 to 100‐hPa (*10−6 kg/(m2*s)) (pink curve) in the region of 20–40°N, 105–120°E. Dots on the curves indicate anomalies significant at the 95% confidence level. Peer Reviewed https://deepblue.lib.umich.edu/bitstream/2027.42/149343/1/asl2901_am.pdf https://deepblue.lib.umich.edu/bitstream/2027.42/149343/2/asl2901.pdf |
format |
Article in Journal/Newspaper |
author |
Song, Lei Wu, Renguang Zhu, Jialei |
author_facet |
Song, Lei Wu, Renguang Zhu, Jialei |
author_sort |
Song, Lei |
title |
Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
title_short |
Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
title_full |
Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
title_fullStr |
Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
title_full_unstemmed |
Processes of intraseasonal snow cover variations over the eastern China during boreal winter |
title_sort |
processes of intraseasonal snow cover variations over the eastern china during boreal winter |
publisher |
John Wiley & Sons, Ltd. |
publishDate |
2019 |
url |
http://hdl.handle.net/2027.42/149343 https://doi.org/10.1002/asl.901 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic |
genre_facet |
Arctic Arctic |
op_relation |
Song, Lei; Wu, Renguang; Zhu, Jialei (2019). "Processes of intraseasonal snow cover variations over the eastern China during boreal winter." Atmospheric Science Letters 20(5): n/a-n/a. 1530-261X http://hdl.handle.net/2027.42/149343 doi:10.1002/asl.901 Atmospheric Science Letters Watanabe, M. ( 2004 ) Asian jet waveguide and a downstream extension of the North Atlantic Oscillation. Journal of Climate, 17 ( 24 ), 4674 – 4691. https://doi.org/10.1175/JCLI-3228.1. Frei, A., Tedesco, M., Lee, S., Foster, J., Hall, D.K., Kelly, R. and Robinson, D.A. ( 2012 ) A review of global satellite‐derived snow products. Advances in Space Research, 50 ( 8 ), 1007 – 1029. https://doi.org/10.1016/j.asr.2011.12.021. Hall, D.K. and Riggs, G.A. ( 2007 ) Accuracy assessment of the MODIS snow products. Hydrological Processes, 21 ( 12 ), 1534 – 1547. https://doi.org/10.1002/hyp.6715. Hall, D.K. and Riggs, G.A. ( 2016 ) MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 6. Boulder, CO: NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD10C1.006. Hoskins, B.J. and Ambrizzi, T. ( 1993 ) Rossby wave propagation on a realistic longitudinally varying flow. Journal of the Atmospheric Sciences, 50 ( 12 ), 1661 – 1671. https://doi.org/10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2. Hui, G. ( 2009 ) China’s snow disaster in 2008, who is the principal player? International Journal of Climatology, 29 ( 14 ), 2191 – 2196. https://doi.org/10.1002/joc.1859. Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.‐K., Hnilo, J.J., Fiorino, M. and Potter, G.L. ( 2002 ) NCEP–DOE AMIP‐II reanalysis (R‐2). Bulletin of the American Meteorological Society, 83 ( 11 ), 1631 – 1643. https://doi.org/10.1175/BAMS-83-11-1631. Li, X., Chen, Y.D. and Zhou, W. ( 2017 ) Response of winter moisture circulation to the India–Burma trough and its modulation by the South Asian waveguide. Journal of Climate, 30 ( 4 ), 1197 – 1210. https://doi.org/10.1175/jcli-d-16-0111.1. North, G.R., Bell, T.L., Cahalan, R.F. and Moeng, F.J. ( 1982 ) Sampling errors in the estimation of empirical orthogonal functions. Monthly Weather Review, 110 ( 7 ), 699 – 706. https://doi.org/10.1175/1520-0493(1982)110<0699:seiteo>2.0.co;2. Park, T.‐W., Ho, C.‐H. and Yang, S. ( 2011 ) Relationship between the Arctic Oscillation and cold surges over East Asia. Journal of Climate, 24 ( 1 ), 68 – 83. https://doi.org/10.1175/2010JCLI3529.1. Song, L. and Wu, R. ( 2017 ) Processes for occurrence of strong cold events over eastern China. Journal of Climate, 30 ( 22 ), 9247 – 9266. https://doi.org/10.1175/jcli-d-16-0857.1. Song, L. and Wu, R. ( 2018a ) Precursory signals of East Asian winter cold anomalies in stratospheric planetary wave pattern. Climate Dynamics. https://doi.org/10.1007/s00382-018-4491-x. Song, L. and Wu, R. ( 2018b ) Comparison of intraseasonal East Asian winter cold temperature anomalies in positive and negative phases of the Arctic Oscillation. Journal of Geophysical Research: Atmospheres, 123 ( 16 ), 8518 – 8537. https://doi.org/10.1029/2018JD028343. Song, L., Wang, L., Chen, W. and Zhang, Y. ( 2016 ) Intraseasonal variation of the strength of the East Asian trough and its climatic impacts in boreal winter. Journal of Climate, 29, 2557 – 2577. https://doi.org/10.1175/JCLI-D-14-00834.1. Sun, B. and Wang, H. ( 2013 ) Water vapor transport paths and accumulation during widespread snowfall events in northeastern China. Journal of Climate, 26 ( 13 ), 4550 – 4566. https://doi.org/10.1175/jcli-d-12-00300.1. Sun, J., Wang, H., Yuan, W. and Chen, H. ( 2010 ) Spatial‐temporal features of intense snowfall events in China and their possible change. Journal of Geophysical Research: Atmospheres, 115, D16110. https://doi.org/10.1029/2009JD013541. Wen, M., Yang, S., Kumar, A. and Zhang, P. ( 2009 ) An analysis of the large‐scale climate anomalies associated with the snowstorms affecting China in January 2008. Monthly Weather Review, 137 ( 3 ), 1111 – 1131. https://doi.org/10.1175/2008mwr2638.1. Zhou, W., Chan, J.C.L., Chen, W., Ling, J., Pinto, J.G. and Shao, Y. ( 2009 ) Synoptic‐scale controls of persistent low temperature and icy weather over southern China in January 2008. Monthly Weather Review, 137 ( 11 ), 3978 – 3991. https://doi.org/10.1175/2009mwr2952.1. Zhou, B., Gu, L., Ding, Y., Shao, L., Wu, Z., Yang, X., Li, C., Li, Z., Wang, X., Cao, Y., Zeng, B., Yu, M., Wang, M., Wang, S., Sun, H., Duan, A., An, Y., Wang, X. and Kong, W. ( 2011 ) The great 2008 Chinese ice storm: its socioeconomic–ecological impact and sustainability lessons learned. Bulletin of the American Meteorological Society, 92 ( 1 ), 47 – 60. https://doi.org/10.1175/2010bams2857.1. Zhou, B., Wang, Z. and Shi, Y. ( 2017 ) Possible role of Hadley circulation strengthening in interdecadal intensification of snowfalls over northeastern China under climate change. Journal of Geophysical Research: Atmospheres, 122 ( 21 ), 11,638 – 611,650. https://doi.org/10.1002/2017JD027574. Zhou, B., Wang, Z., Shi, Y., Xu, Y. and Han, Z. ( 2018 ) Historical and future changes of snowfall events in China under a warming background. Journal of Climate, 31 ( 15 ), 5873 – 5889. https://doi.org/10.1175/jcli-d-17-0428.1. Takaya, K. and Nakamura, H. ( 2001 ) A formulation of a phase‐independent wave‐activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow. Journal of the Atmospheric Sciences, 58 ( 6 ), 608 – 627. https://doi.org/10.1175/1520-0469(2001)058<0608:afoapi>2.0.co;2. Chen, X., Liang, S., Cao, Y. and He, T. ( 2016 ) Distribution, attribution, and radiative forcing of snow cover changes over China from 1982 to 2013. Climatic Change, 137 ( 3 ), 363 – 377. https://doi.org/10.1007/s10584-016-1688-z. |
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ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/149343 2023-08-20T04:03:11+02:00 Processes of intraseasonal snow cover variations over the eastern China during boreal winter Song, Lei Wu, Renguang Zhu, Jialei 2019-05 application/pdf http://hdl.handle.net/2027.42/149343 https://doi.org/10.1002/asl.901 unknown John Wiley & Sons, Ltd. Song, Lei; Wu, Renguang; Zhu, Jialei (2019). "Processes of intraseasonal snow cover variations over the eastern China during boreal winter." Atmospheric Science Letters 20(5): n/a-n/a. 1530-261X http://hdl.handle.net/2027.42/149343 doi:10.1002/asl.901 Atmospheric Science Letters Watanabe, M. ( 2004 ) Asian jet waveguide and a downstream extension of the North Atlantic Oscillation. Journal of Climate, 17 ( 24 ), 4674 – 4691. https://doi.org/10.1175/JCLI-3228.1. Frei, A., Tedesco, M., Lee, S., Foster, J., Hall, D.K., Kelly, R. and Robinson, D.A. ( 2012 ) A review of global satellite‐derived snow products. Advances in Space Research, 50 ( 8 ), 1007 – 1029. https://doi.org/10.1016/j.asr.2011.12.021. Hall, D.K. and Riggs, G.A. ( 2007 ) Accuracy assessment of the MODIS snow products. Hydrological Processes, 21 ( 12 ), 1534 – 1547. https://doi.org/10.1002/hyp.6715. Hall, D.K. and Riggs, G.A. ( 2016 ) MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 6. Boulder, CO: NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD10C1.006. Hoskins, B.J. and Ambrizzi, T. ( 1993 ) Rossby wave propagation on a realistic longitudinally varying flow. Journal of the Atmospheric Sciences, 50 ( 12 ), 1661 – 1671. https://doi.org/10.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;2. Hui, G. ( 2009 ) China’s snow disaster in 2008, who is the principal player? International Journal of Climatology, 29 ( 14 ), 2191 – 2196. https://doi.org/10.1002/joc.1859. Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.‐K., Hnilo, J.J., Fiorino, M. and Potter, G.L. ( 2002 ) NCEP–DOE AMIP‐II reanalysis (R‐2). Bulletin of the American Meteorological Society, 83 ( 11 ), 1631 – 1643. https://doi.org/10.1175/BAMS-83-11-1631. Li, X., Chen, Y.D. and Zhou, W. ( 2017 ) Response of winter moisture circulation to the India–Burma trough and its modulation by the South Asian waveguide. Journal of Climate, 30 ( 4 ), 1197 – 1210. https://doi.org/10.1175/jcli-d-16-0111.1. North, G.R., Bell, T.L., Cahalan, R.F. and Moeng, F.J. ( 1982 ) Sampling errors in the estimation of empirical orthogonal functions. Monthly Weather Review, 110 ( 7 ), 699 – 706. https://doi.org/10.1175/1520-0493(1982)110<0699:seiteo>2.0.co;2. Park, T.‐W., Ho, C.‐H. and Yang, S. ( 2011 ) Relationship between the Arctic Oscillation and cold surges over East Asia. Journal of Climate, 24 ( 1 ), 68 – 83. https://doi.org/10.1175/2010JCLI3529.1. Song, L. and Wu, R. ( 2017 ) Processes for occurrence of strong cold events over eastern China. Journal of Climate, 30 ( 22 ), 9247 – 9266. https://doi.org/10.1175/jcli-d-16-0857.1. Song, L. and Wu, R. ( 2018a ) Precursory signals of East Asian winter cold anomalies in stratospheric planetary wave pattern. Climate Dynamics. https://doi.org/10.1007/s00382-018-4491-x. Song, L. and Wu, R. ( 2018b ) Comparison of intraseasonal East Asian winter cold temperature anomalies in positive and negative phases of the Arctic Oscillation. Journal of Geophysical Research: Atmospheres, 123 ( 16 ), 8518 – 8537. https://doi.org/10.1029/2018JD028343. Song, L., Wang, L., Chen, W. and Zhang, Y. ( 2016 ) Intraseasonal variation of the strength of the East Asian trough and its climatic impacts in boreal winter. Journal of Climate, 29, 2557 – 2577. https://doi.org/10.1175/JCLI-D-14-00834.1. Sun, B. and Wang, H. ( 2013 ) Water vapor transport paths and accumulation during widespread snowfall events in northeastern China. Journal of Climate, 26 ( 13 ), 4550 – 4566. https://doi.org/10.1175/jcli-d-12-00300.1. Sun, J., Wang, H., Yuan, W. and Chen, H. ( 2010 ) Spatial‐temporal features of intense snowfall events in China and their possible change. Journal of Geophysical Research: Atmospheres, 115, D16110. https://doi.org/10.1029/2009JD013541. Wen, M., Yang, S., Kumar, A. and Zhang, P. ( 2009 ) An analysis of the large‐scale climate anomalies associated with the snowstorms affecting China in January 2008. Monthly Weather Review, 137 ( 3 ), 1111 – 1131. https://doi.org/10.1175/2008mwr2638.1. Zhou, W., Chan, J.C.L., Chen, W., Ling, J., Pinto, J.G. and Shao, Y. ( 2009 ) Synoptic‐scale controls of persistent low temperature and icy weather over southern China in January 2008. Monthly Weather Review, 137 ( 11 ), 3978 – 3991. https://doi.org/10.1175/2009mwr2952.1. Zhou, B., Gu, L., Ding, Y., Shao, L., Wu, Z., Yang, X., Li, C., Li, Z., Wang, X., Cao, Y., Zeng, B., Yu, M., Wang, M., Wang, S., Sun, H., Duan, A., An, Y., Wang, X. and Kong, W. ( 2011 ) The great 2008 Chinese ice storm: its socioeconomic–ecological impact and sustainability lessons learned. Bulletin of the American Meteorological Society, 92 ( 1 ), 47 – 60. https://doi.org/10.1175/2010bams2857.1. Zhou, B., Wang, Z. and Shi, Y. ( 2017 ) Possible role of Hadley circulation strengthening in interdecadal intensification of snowfalls over northeastern China under climate change. Journal of Geophysical Research: Atmospheres, 122 ( 21 ), 11,638 – 611,650. https://doi.org/10.1002/2017JD027574. Zhou, B., Wang, Z., Shi, Y., Xu, Y. and Han, Z. ( 2018 ) Historical and future changes of snowfall events in China under a warming background. Journal of Climate, 31 ( 15 ), 5873 – 5889. https://doi.org/10.1175/jcli-d-17-0428.1. Takaya, K. and Nakamura, H. ( 2001 ) A formulation of a phase‐independent wave‐activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow. Journal of the Atmospheric Sciences, 58 ( 6 ), 608 – 627. https://doi.org/10.1175/1520-0469(2001)058<0608:afoapi>2.0.co;2. Chen, X., Liang, S., Cao, Y. and He, T. ( 2016 ) Distribution, attribution, and radiative forcing of snow cover changes over China from 1982 to 2013. Climatic Change, 137 ( 3 ), 363 – 377. https://doi.org/10.1007/s10584-016-1688-z. IndexNoFollow the eastern China moisture fluxes intraseasonal snow cover variation the Arctic Oscillation Atmospheric and Oceanic Sciences Engineering Article 2019 ftumdeepblue https://doi.org/10.1002/asl.90110.1175/JCLI-3228.110.1016/j.asr.2011.12.02110.1002/hyp.671510.5067/MODIS/MOD10C1.00610.1175/1520-0469(1993)050<1661:RWPOAR>2.0.CO;210.1175/BAMS-83-11-163110.1175/jcli-d-16-0111.110.1175/1520-0493(1982)110<0699:seiteo>2.0.co 2023-07-31T20:33:38Z This study reveals that the dominant time scale of intraseasonal snow cover variation over the eastern China is within 30 days by using the latest satellite snow cover data from the moderate resolution imaging spectroradiometer (MODIS)/Terra product. The leading empirical orthogonal function (EOF) mode of 10–30‐day snow cover variation during boreal winter from 2004 to 2018 over the eastern China has two centers: northwest part of the eastern China and north of the Yangtze River. Composite analysis based on 25 snow events identified from normalized leading principal time series (PC1) indicates that the southeastward intrusion of surface anticyclonic anomalies and accompanying low temperature anomalies provide the temperature condition for snow events. Negative Arctic Oscillation induces mid‐latitude wave train and leads to the development of surface anticyclonic anomalies and upper‐level cyclonic anomalies over East Asia. The cyclonic anomalies induce ascending motion and anomalous convergence of water vapor fluxes over the eastern China, which supplies moisture for snowfall.(a) Time evolution of composite NAO index (pink curve), AO index (blue curve), regional mean surface air temperature anomalies (°C) (black curve) and snow cover anomalies (%) (red curve) in the region of 20–40°N, 105–120°E. (b) Time evolution of composite anomalies of regional mean snow cover tendency (%/day) (black curve), vertical velocity (Pa/s) (blue curve), and divergence of water vapor flux integral from 1,000 to 100‐hPa (*10−6 kg/(m2*s)) (pink curve) in the region of 20–40°N, 105–120°E. Dots on the curves indicate anomalies significant at the 95% confidence level. Peer Reviewed https://deepblue.lib.umich.edu/bitstream/2027.42/149343/1/asl2901_am.pdf https://deepblue.lib.umich.edu/bitstream/2027.42/149343/2/asl2901.pdf Article in Journal/Newspaper Arctic Arctic University of Michigan: Deep Blue Arctic Atmospheric Science Letters 20 5 e901 |