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The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

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warm record years may arise by chance in stati<strong>on</strong>ary, but serially correlated, series: an<br />

auto-regressive process of order 1 and l<strong>on</strong>g-memory process. <str<strong>on</strong>g>The</str<strong>on</strong>g> parameters of these<br />

processes are estimated from the observed data, using the complete record or just part of it.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> resulting probabilities, estimated by M<strong>on</strong>tecarlo realizati<strong>on</strong>s, hover over 10-4 to 10 -3.<br />

A similar analysis has been performed for the annual temperature averaged in each of the<br />

26 regi<strong>on</strong>s defined by Giorgi and Bi (2005), derived from the HadCRU3 data set. Some of<br />

these series start earlier than 1880. <str<strong>on</strong>g>The</str<strong>on</strong>g> autoregressive parameter is estimated for each of<br />

these series, as well as the number of warmest years occurring in 1990-2005. <str<strong>on</strong>g>The</str<strong>on</strong>g><br />

probabilities of these number of record years arising by chance under this null-hypothesis<br />

varies widely. For some regi<strong>on</strong>s, it is as high as 0.1, but for other regi<strong>on</strong>s, notably East Asia<br />

and Alaska, they are remarkably small, of the order of 10-6, indicating that for these regi<strong>on</strong>s<br />

the late series of warm years would lie even more clearly outside the range of random<br />

fluctuati<strong>on</strong>s than for the global annual temperature.<br />

Parallel Sessi<strong>on</strong>s:Process Studies<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> study <strong>on</strong> Anomalous Atmosphere-Ocean Currents and the Propagati<strong>on</strong> Mechanism for<br />

Warm Signal of Sea Temperature<br />

Speaker: Changrui<br />

Changrui<br />

IAP<br />

changrui2001@163.com<br />

Zhang Qingyun<br />

IAP<br />

Because of the sparse observati<strong>on</strong> over the Ocean, the important problems about the<br />

characteristics of the ocean currents and their relati<strong>on</strong>ship with the sea temperature anomaly<br />

during El Niño events are still not completely resolved, although there already have been a few<br />

researchers focused their attenti<strong>on</strong>s <strong>on</strong> this field. In order to deeply investigate the truth behind<br />

the puzzles from a new way, this research is based up<strong>on</strong> the Simple Ocean Data Assimilati<strong>on</strong><br />

(SODA) dataset from 1971 to 2000 and the NECP/NCAR reanalysis dataset from 1980 to<br />

2000, which are of high resoluti<strong>on</strong> and l<strong>on</strong>g time scale. <str<strong>on</strong>g>The</str<strong>on</strong>g>refore, from the departures point of<br />

view, the variati<strong>on</strong>s of z<strong>on</strong>al wind and ocean currents as well as the propagati<strong>on</strong> features of<br />

the sea temperature signal during El Niño events have been investigated by composite<br />

analysis. In this research, special emphasis is placed <strong>on</strong> the two main types of El Niño events:<br />

the middle-pattern of El Niño and the east-pattern of El Niño. According to the amplitude of the<br />

sea surface temperature anomaly and its characteristics of propagati<strong>on</strong>, the 1982/83, 1991/92<br />

and 1997/98 events are composite for the middle-pattern of El Niño event and the 1972/73 and<br />

1976/77 events for the east-pattern of El Niño event. <str<strong>on</strong>g>The</str<strong>on</strong>g> results show that:<br />

50

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