Sample entropy-based adaptive wavelet de-noising approach for meteorologic and hydrologic time series-Reference-Cited by-同舟云学术

Sample entropy-based adaptive wavelet de-noising approach for meteorologic and hydrologic time series

Published:2014-07-25 Issue:14 Volume:119 Page:8726-8740
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Wang Dong¹,Singh Vijay P.²³,Shang Xiaosan¹⁴,Ding Hao¹,Wu Jichun¹,Wang Lachun⁵,Zou Xinqing⁵,Chen Yuanfang⁶,Chen Xi⁶,Wang Shicheng⁷,Wang Zhenlong⁴

Affiliation:

1. Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse; Nanjing University; Nanjing China

2. Department of Biological and Agricultural Engineering; Texas A&M University; College Station Texas USA

3. Zachry Department of Civil Engineering; Texas A&M University; College Station Texas USA

4. Anhui Key Laboratory of Water Conservancy and Water Resources; Bengbu China

5. School of Geographic and Oceanographic Sciences; Nanjing University; Nanjing China

6. School of Hydrology and Water Resources, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering; Hohai University; Nanjing China

7. Hydrological Bureau, Huaihe River Commission, Ministry of Water Resources; Bengbu China

Funder

National Natural Science Fund of China

Program for New Century Excellent Talents in University

China Doctoral Program of Higher Education

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2014JD021869/fullpdf

Reference40 articles.