Reconstruction of May–July precipitation in the north Helan Mountain, Inner Mongolia since A.D. 1726 from tree-ring late-wood widths : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2004

Идентификатор DOI: 10.1007/bf02900325

Ключевые слова: Helan Mountain, Pinus tabulaeformis, Late-wood ring width, precipitation reconstruction

Аннотация: By analyzing statistical characteristics of five tree-ring standard chronologies, early-wood ring width (EWW), late-wood ring width (LWW), total ring width (TRW), minimum early-wood density (MinD), maximum late-wood density (MaxD) and, their climatic response respectively, we reconstructed the May to July precipitation using late-wПоказать полностьюood ring width (LWW) over the north Helan Mountain since A.D. 1726. The explained variance is 42% (R2adj = 41%,F= 31.46,p < 0.000001). After 11-a moving average, the explained variance reaches 82% (F= 156.9,p < 0.05). On the decadal scale, the rainfall reconstruction of the northern Helan Mountain displays a quite similar variation pattern with that of the April to early July precipitation in Baiyinaobao, east of Inner Mongolia for the last 150 years. It may reflect the intensity variation of the East Asia Summer Monsoon front to a certain extent. Spectrum analysis shows 11-a and 22-a periodicities in the May to July precipitation reconstruction at the north Helan Mountain.

Ссылки на полный текст

Издание

Журнал: Chinese Science Bulletin

Выпуск журнала: Т.49, 4

Номера страниц: 405-409

ISSN журнала: 10016538

Издатель: Science in China Press, co-published with Springer-Verlag GmbH

Персоны

  • Liu Yu (Chinese Academy of Sciences)
  • Shi Jiangfeng (Chinese Academy of Sciences)
  • Shishov V. (Russian Academy of Sciences)
  • Vaganov E. (Russian Academy of Sciences)
  • Yang Yinke (Chinese Academy of Sciences)
  • Cai Qiufang (Chinese Academy of Sciences)
  • Sun Junyan (Chinese Academy of Sciences)
  • Wang Lei (Chinese Academy of Sciences)
  • Djanseitov I. (Russian Academy of Sciences)

Вхождение в базы данных