Study on the reliable computation time of the numerical model using the sliding temporal correlation method
Study on the reliable computation time of the numerical model using the sliding temporal correlation method
复制标题
滑动时间相关法数值模型可靠计算时间研究
DOI:
10.1007/s00704-014-1128-9
复制
发表时间:
2015-02
影响因子:
3.4
通讯作者:
Gang Huang
中科院分区:
文献类型:
--
作者:
Pengfei Wang;Pengfei Wang;Gang Huang;Gang Huang
A simple and useful method, the sliding temporal correlation (STC) analysis, is employed in the present work to investigate the predictable time (PT) of two typical chaotic numerical models (Lorenz system and Chen chaotic system) and reliable computing times (RCT) of an atmospheric general circulation model (ECHAM5). Through kinds of numerical experiments, results indicate that the maximal prediction time of Lorenz system (and Chen chaotic system) detected by STC method is coherent well with that by classical error limitation method, suggesting the effective role of the STC method. Then, taking the geopotential height for example, the RCT of ECHAM5 and potential impact factors such as the integration time step, initial condition, and model’s resolution are explored. Results reveal that (1) the high-value areas of the RCT are mainly situated in the tropics, and the global mean RCT (GMRCT) decreases from with the time step increasing; (2) the ocean forcing can enlarge the difference of the RCT between that averaged over the Southern Hemisphere (SH) and Northern Hemisphere (NH), which implies the RCT in the NH may be more sensitive to the computation error than that in the SH; (3) the model’s RCT also displays significant seasonality having longer (about 1–2 days) GMRCT in the experiment integrating from winter than that from summer; (4) the RCT of the high-resolution (T106) ECHAM5 shows similar spatial feature to that of low-resolution (T63) ECHAM5, but the GMRCT and hemispheric difference decreases.
登录
查看更多内容
影响因子:
2.6
作者:
Ding, Ruiqiang;Li, Jianping
通讯作者:
Li, Jianping
DOI:
10.1007/bf02875306
发表时间:
2000
期刊:
Science in China Series D: Earth Sciences
影响因子:
--
作者:
Yiliang Li;Yong‐Fei Zheng;B. Gong;B. Fu
通讯作者:
Yiliang Li;Yong‐Fei Zheng;B. Gong;B. Fu
影响因子:
5.1
作者:
Zhenya Song;F. Qiao;X. Lei;Chunzai Wang
通讯作者:
Zhenya Song;F. Qiao;X. Lei;Chunzai Wang
影响因子:
44.1
作者:
ECKMANN, JP;RUELLE, D
通讯作者:
RUELLE, D
影响因子:
6.4
作者:
Liao ShiJun;Wang PengFei
通讯作者:
Wang PengFei