The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years
The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years
复制标题
过去161年预测ENSO的概率性、确定性和潜在技能之间的关系
DOI:
10.1007/s00382-019-04967-y
复制
发表时间:
2019-12
期刊:
影响因子:
--
通讯作者:
Zhang Banglin
中科院分区:
文献类型:
--
作者:
Liu Ting;Youmin Tang;Yang Dejian;Cheng Yanjie;Song Xunshu;Hou Zhaolu;Shen Zheqi;Gao Yanqiu;Wu Yanlin;Li Xiaojin;Zhang Banglin
Here, we explored in depth the relationship among the deterministic prediction skill, the probabilistic prediction skill and the potential predictability. This was achieved by theoretical analyses and, in particular, by an analysis of long-term ensemble ENSO hindcast over 161 years from 1856 to 2016. First, a nonlinear monotonic relationship between the deterministic prediction skill and the probabilistic prediction skill, derived by theoretical analysis, was examined and validated using the ensemble hindcast. Further, the co-variability between the potential predictability and the deterministic prediction skill was explored in both perfect model assumption and actual model scenario. On these bases, we investigated the relationship between the potential predictability and probabilistic prediction skill from both the practice of ENSO forecast and theoretical perspective. The results of the study indicate that there are nonlinear monotonic relationships among these three kinds of measures. The potential predictability is considered to be a good indicator for the actual prediction skill in terms of both the deterministic measures and the probabilistic framework. The relationships identified here exhibit considerable significant practical sense to conduct predictability researches, which provide an inexpensive and moderate approach for inquiring prediction uncertainties without the requirement of costly ensemble experiments.
登录
查看更多内容
影响因子:
--
作者:
Yanjie Cheng;Youmin Tang;Dake Chen
通讯作者:
Yanjie Cheng;Youmin Tang;Dake Chen
影响因子:
3.2
作者:
E. Kalnay;A. Dalcher
通讯作者:
E. Kalnay;A. Dalcher
DOI:
10.1016/b978-0-12-812372-0.00001-7
发表时间:
2018
期刊:
--
影响因子:
--
作者:
D. Wilks;S. Vannitsem
通讯作者:
D. Wilks;S. Vannitsem
影响因子:
3.2
作者:
Kumar, Arun;Peng, Peitao;Chen, Mingyue
通讯作者:
Chen, Mingyue
影响因子:
4.9
作者:
G. Huffman;R. Adler;B. Rudolf;U. Schneider;P. Keehn
通讯作者:
G. Huffman;R. Adler;B. Rudolf;U. Schneider;P. Keehn