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East Asian climate and Arctic/Antarctic Oscillations. Daoyi Gong (gdy@bnu.edu.cn) State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University. AO and East Asian climate East Asian winter monsoon East Asian summer monsoon
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East Asian climate and Arctic/Antarctic Oscillations Daoyi Gong (gdy@bnu.edu.cn) State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University
AO and East Asian climate • East Asian winter monsoon • East Asian summer monsoon • (b) Weather extremes/climate disasters
Climate meanings: Basic/fundamental state of free atmosphere: westerly flow What cause AO/AAO variability: … downward propagation of stratosphere anomalies … eddy-mean flow interaction, e.g., EP flux theory … stationary wave-mean flow interaction … troposphere thermal or dynamical forcing. e.g., Autumn snow in Siberian -> negative AO.
Changes of air temperature at 925 hPa level in association with a one unit of AO. Areas significant at 0.05 level are shaded and the high correlation center with |r|>0.6 indicated by darker shading. Contour intervals: 0.5C. Zero lines are omitted for clarity. ERA40 data
Changes of regional atmospheric circulation in association with a -1 unit of AO. Contours: 500hPa height, solid lines: positive anomalies, dashed lines are negative, unit is gpm. Vectors: horizontal wind at 850hPa level, maximum values are 2.4m/s. Shadings: air temperature at 925hPa, light shading: -0.5 to -1C; darker shading: cooler than lower -1C ERA40 data, DJF
Time-series of AO (a), Siberian High (b), East Asian Trough (c), and temperature in East China (d) since late 19th century
Winter influence on inter-annual to decadal time scale • AO influence on summer monsoon and monsoonal rainfall • AO modulation on high-frequency variability and extremes • in temperature • Negative phase AO: • Strong Siberian High due to • cooler Euasian continent in mid-high latitude, • enhanced downward air motion by convergence in upper level with the enhanced trough • …Strong winter monsoon • …Cooler East Asia.
Reg.<May AO, JJA rainfall> May AO and JJA Rainfall Data: 5x5 degree, global land (Hulme 1992) Grey squares: Data availability >95% during 1900-98 Shading: >95% c.l. Changes in summer precipitation (mm) corresponding to a one standard deviation of the May AO index.
Cross section of the zonal mean zonal wind (u), meridional wind (v) and vertical motion (ω) over East Asia (110ºE-150ºE) regressed onto the May AO index.
Spring NDVI Summer U200 • The first paired modes of singular value decomposition (SVD) analysis between spring normalized difference of vegetation index (NDVI) anomaly and summer zonal wind at 200 hPa (U200) anomaly • First-paired mode for NDVI • First-paired mode for U200. • Units are arbitrary. Contour interval is 0.02 and the 0 value line is omitted for clarity. • Mao et al., 2008
Cross section of the summer zonal mean zonal wind (u), meridional wind (v) and vertical motion (ω) over East Asia (100E-120E) regressed onto thespring NDVI-PC1. The u is shown as the contours with interval of 1 m/s. Regions above 95% confidence level are shaded. The covariance of v and ω are shown as vectors. Values are m/s for u and v, and hPa/s for ω. The values of largest vectors are 0.40 m/s for v and 1.3× 10-2 hPa/s for ω.
Dust storms Sea ice severity
AO and spring dust storm frequency in northern China (shown only the inter-annual components). Their Spearman correlation is –0.304.
Outline… • Winter influence on inter-annual to decadal time scale • AO influence on summer monsoon and monsoonal rainfall • AO modulation on high-frequency variability and extremes • in temperature Contour lines are regression of the synoptic variance of daily 850hPa heights upon dust storm frequency (F_D). Contour intervals: 0.5m. Zero contours are omitted for clarity. Shading areas are significant at the 95% level. Horizontal wind changes at 500 hPa level Maximum wind vectors are 1.8m/s.
Ice severity index AO Time-series of Sea ice severity in Bohai Sea and AO. DJF. AO x -1 normalized.
Jinzhou station, north Bohai Sea 2 1 > +1.2σ, 7 winters < -1.2σ, 6 winters • -12 days Less freezing days, where T < -4C
(a) Correlation between the April–May AAO and June–August precipitation in China for the period 1951–2001. (b) Normalized time series of spring AAO and summer precipitation in Yangtze River valley. r = +0.49 Nan and Li 2003, GRL
…Cross-equatorial air flow in Indian Ocean …Cross-equatorial air flow in western Pacific …Troposphere Rossby waves ? …through influencing regional SST/Precipitation ?
A A A: anticyclone Water transport below 700hPa, wind vector at 850 hPa. JJA. ERA40 data
Regression coefficients of the ERA40 SLP upon the Sr-content time series during 1958–1993. The unit is hPa per standard deviation of Sr. Prior to analysis, the Niño3.4 SST signals were excluded from Sr-content time series.
Weekly cycles in atmosphere over China: Polluted weather ? Dao-Yi GONG1, Chang-Hoi HO2, Deliang CHEN3, Yun QIAN4, Yong-Sang CHOI2, and Jinwon KIM5 1 State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science & Technology, Beijing Normal University, 100875, China 2 School of Earth and Environmental Sciences, Seoul National University, Seoul 151-742,Korea 3 Earth Sciences Centre, Göteborg University, Guldhedsgatan 5A, Box 460, 405 30 Göteborg, Sweden 4 Atmospheric Science and Global Change Division, Pacific Northwest National Laboratory, WA 99352, USA 5 Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, California, USA Gong et al., J.G.R., 2006; 2007
Anomalies of temperature from Sunday through Saturday. 29 stations, JJA, 2001-2006 Error bars are 1 standard error about the 29-sample mean.
Anomalous frequency of light rains from Sunday through Saturday. P 5mm/day, 29 stations, JJA, 2001-2006 Error bars are 1 standard error about the 29-sample mean.
Globe: Cities with more than 100,000 people in 1997 China: 448 with population >0.5 million, 174 with population >1 million. Most in East China. By 2003 Source: United Nations Statistics Division
PM10 PM10, JJA, 2001-2006. ‘’ : PM10 stations, ‘’: R2 grids, ‘O’: radio-sounding temperature stations
Radio-sounding T, R2 Profile of temperature anomaly from Sunday through Saturday in troposphere. Shown here is the mean of 15 radiosonde observations. Unit: C. 1100UTC. Profile of temperature anomaly from Sunday through Saturday in troposphere. Shown here is the mean of 29 R2 grids. Unit: C. Data sources: Durre et al., 2006. J. Climate, 19, 53-68
Anomaly of the daily mean vertical air velocity (ω) in the lower troposphere between 925 and 850 hPa levels at 29 R2 grids during 2001-2005.
Radio-sounding Anomaly of the horizontal wind velocity in lower troposphere between 925 and 850hPa levels, shown as the average from radiosonde observations. Error bars are 1 standard error about the sample mean. 1100UTC, data availability >90%. Data sources: Durre et al., 2006. J. Climate, 19, 53-68
Climate implication… 0.05 level 1956-2005. Whole China. JJA.
Climate implication… Regional mean trends [<10mm/day]: 1956-05: -1.7days/10yr [~20%] 1980-05: -2.4days/10yr, 0.01 level Linear trend of the number of light rain days during the time period 1956-2005. Unit: days/10yr. JJA.
Conclusion: • There are significant, consistent weekly cycles in meteorological variables in east China during summer , most likely connected to the weekly cycle of air pollution, and a result of aerosol-atmosphere interaction. • (2) The significant decreasing of light rains is likely related to the enhanced human activities, and suppressed by the increasing air pollution. • (3) …modelling validation
Variability of the low-level cross-equatorial jet of the western Indian Ocean since 1660 as derived from the coral proxies Dao-Yi Gong ( Beijing Normal University, China, gdy@bnu.edu.cn) Jürg Luterbacher (University of Bern, Switzerland, juerg@giub.unibe.ch) Gong & Luterbacher, G. R. L., 2008
Trend in the 20th century: A puzzling fact In association with climate warming A notably enhancing trend in wind in western Arabian Sea (Anderson et al. 2002, Science, 596) … and also suggested by some simulations (Hu et al., 2000)
Data: 8 coral proxies from Indian Ocean Basin Longest: ~1660AD O Grids of COADS July wind speed data →ERA40 climate wind vectors of 850hPa level in June-July-August. Mean meridional wind to define the cross-equatorial jet flow (i.e., V850). Coral sites. IFA: Ifaty (Zinke et al., 2004), SEY: Seychelles (Charles et al., 1997), NIN: Ningaloo (Kuhnert et al., 2000), PIR: Pirotan (Chakraborty and Ramesh, 1998), REU: Réunion (Pfeiffer et al., 2004), BAL: Bali (Charles et al., 2003), XIS: Xisha (Sun et al., 2004), BUN: Bunaken (Charles et al., 2003). Data from: http://www.ncdc.noaa.go/paleo [all are δ18O except XIS which is Sr]
Observed and simulated wind during the 20th century COADS surface wind, July only averaging from 8 grids IPCC AR4, V850, JJA Coupled models simulations for 20th century (20C3M) forced by observed natural and anthropogenic forcings. Ensemble of 21 models Only low-frequency shown. Shading: 2SE of the ensemble means. Data source: Zhou T J
Conclusion: Low-level Indian monsoon wind shows no enhancing tendency as global temperature rises during the 20th century.