English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Yangtze runoff, precipitation, and the East Asian monsoon in a 2800 years climate control simulation

MPS-Authors
There are no MPG-Authors in the publication available
External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Blender, R., Zhu, X., Zhang, D., & Fraedrich, K. F. (2011). Yangtze runoff, precipitation, and the East Asian monsoon in a 2800 years climate control simulation. Quaternary International, 244(2), 194-201. doi:10.1016/j.quaint.2010.10.017.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0018-107F-D
Abstract
Variability of the Yangtze catchment hydrology is closely linked with the Tibetan Plateau snow cover and the large scale atmospheric circulation in East Asia. These connections are analyzed in a control simulation (2800 years) of the atmosphere-ocean general circulation model (ECHAM5/MPIOM) coupled to vegetation and ocean biogeochemistry modules. (i) Up to decades in time scale, runoff, soil wetness, and temperature show long term memory (LTM) with an intradecadal scaling of the power spectrum with the exponent beta approximate to 0.6, while precipitation, snow depth, and snow melt reveal no memory. (ii) Multi-decadal variability of runoff, soil wetness, and temperature shows weak LTM similar to snow depth and melt on the Tibetan Plateau. (iii) On the annual time scale, the atmospheric circulation impact of Hadley cell and ENSO on precipitation, temperature and snow melt are weak but significant; on decadal time scales the subtropical monsoon modulates the catchment hydrology. Temperature is anticorrelated with precipitation and soil wetness in the Yangtze catchment. Singular spectrum analysis highlights the 3-4 year ENSO mode in the monsoon indices, precipitation, and snow depth, explaining their high correlations. Projecting snow depth on ENSO shows long term variations explaining conflicting results obtained from correlations in short data sets. (C) 2010 Elsevier Ltd and INQUA. All rights reserved.