Primary Factors Contributing to Japan's Extremely Hot Summer of 2010
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1 temperature anomalies by its standard deviation for JJA 2010 Primary Factors Contributing to Japan's Extremely Hot Summer of 2010 Nobuyuki Kayaba Climate Prediction Division,Japan Meteorological Agancy (coworkers;shotaro Tanaka, Singo Usida) Ft. Worth October 3, th Climate Diagnostic and Prediction Workshop, Ft. Worth Hilton, Ft. Worth, TX, October 3-6, 2011
2 Outline 2-1.Temperature for summer Ocean conditions and convective activity 2-3.Characteristic atmospheric circulation 3. Conclusion Data Set SST(COBE-SST) ; The normal is the average JRA-25/JCDAS (re-analysis/operational analysis data) ;The normal is the average
3 The Advisory Panel on Extreme Climate Events The Advisory Panel was established in 2007 by JMA to investigate extreme climate events based on the latest knowledge and findings. The Advisory Panel J M A Collaboration Extreme event!! Research Community consisting of prominent experts on climate science from universities and research institutes provide information based on latest research outcome, quickly PUBLIC Extreme Climate Events JJA 2010 (TCC,JMA) URL:
4 The Advisory Panel on Extreme Climate Events Analysis tools of extreme climate events J M A Observational data, analysis tools, operational monitoring information on climate system Extreme event!! Sharing data, tools, and information on current status of climate system Advisory Panel on Extreme Climate Events Scientific comments on climate monitoring, suggestion on improvement of analysis Extraordinary meeting Annual meeting Review of Panel activities, Analysis of the event extreme climate events in the year Research Community Timely statement on causes of the extreme climate event Regular provision of related information 4
5 Temperature for summer 2010 In summer 2010, many area of the world experienced high temperatures. In Japan, It is the highest since JMA s records began in seasonal temperature anomalies for JJA 2010 Long-term Three-monthly change mean in seasonal temperature temperature normalized anomalies by its standard for summer deviation from 1898 for to summer 2010 in 2010 Japan. The figure indicates averaged in 5!5 grid boxes. The thresholds of each category are -1.28,-0.44,0,+0.44 and
6 in the Northern Hemisphere respectively. The values for 1998 and 1988 were the second and fourth highest, respectively N )calculated from 60N )calculated from thickness ( hpa).
7 Ocean Condition In summer 2010, a La Niña event started, following the El Niño period that ended in spring The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again. MAM JJA.2010 memo This pattern echoed those of the La Niña events seen in 1988 and 1998 Time series of five-month running mean sea surface temperature deviations from the climatological mean based on a sliding 30-year period for NINO.3 (5!S 5!N, 150!W 90!W) Three-month mean Sea Surface Temperature anomaly(k)
8 of the tropospheric air thickness The El Niño period ended that ended in spring spring (MAM) 2010 In summer 2010, a La Niña event started. POINT 12. in the mid-latitudes JAN.2009 of the Northern Hemisphere were extremely high in Tropospheric Examination of air past temperatures La Niña events increase shows on a tendency global scale for after higher El than Niño summer 2010 from the influence of the El Niño event and partly due to the events normal and tropospheric then remain air higher temperatures than normal in the for mid-latitudes several months.(e.g., of the Northern effects of the La Niña event. Angell, Hemisphere, 1990) while those in the tropics have been below normal during &''(! summers with a La Niña event(e.g., Seager et al., 2003) JAN.2010 JJA 2010 &')'! JAN.2011 &'))!!"#$% *#+!"#$% Time-latitude cross section of monthly, zonally averaged thickness ( hPa) anomaly (unit: m)
9 Convective activity Asian summer monsoon is active in second half of summer 6/1-7/15 7/16-8/30 Outgoing longwave radiation (OLR) anomaly (unit: W/m2) Cold and warm shading indicates enhanced and suppressed convective activity, respectively, in relation to the normal.
10 Statistic analysis for the subtropical jet stream near Japan When convective activity is enhanced over Asian monsoon region, the subtropical jet stream near Japan tends to shift northward of its normal position. OLR 7/16-8/ Linear regression coefficients of OLR(10 20N,60 140E) and 200-hPa zonal wind speed for July and August The shading shows a 95% confidence level based on F-testing.
11 Characteristic atmospheric circulation Pronounced anticyclone over Japan in second half The jet stream was often shifted northward of its normal position with a frequent northward meander and equivalent-barotropic highs developed and persisted over Japan in the second half. 7/17-24 Z200 8/15-24 SLP 200-hPa zonal wind (vector) and anomaly (line) Atmospheric circulation (Aug)
12 h (cool semi-stationary anti-cyclone) T In the second half of July, the phenomenon temporarily appeared but influenced Japan little due to the strong Pacific High. (unit: hpa) JUN JUL AUG SLP and T850 ( ) H 70F H 7/15-24, 2010 SLP and T850 60F Time series of average SLP anomaly over the Sea of Okhotsk (45 60N, E) summer The thick line indicates daily mean values of the area-averaged sea level pressure anomaly over the region. The gray shading denotes the range of one standard deviation. H 7/19-28, F
13 Conclusion the Advisory Panel on Extreme Climate Events (3th September 2010 ) SUMMARY ① The highest zonally averaged tropospheric air temperature in the Northern Hemisphere (delayed effect of the El Niño and partly effects of the La Niña) ② Pronounced Pacific High over Japan due to enhanced convection over the Indian Ocean and surrounding seas. ③ Less-than-usual development of the Okhotsk High. Schematic chart of primary factors of extremely hot summer 2010 in Japan Japanese major newspaper (4thSep. 2010) By The Advisory Panel on Extreme Climate Events, the attribution analysis based on the newest scientific knowledge was made promptly.
14 Thank You For Your Attention
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