naa a22 4500 51075385X CHVBK 20180411083115.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s13131-013-0333-1 doi (NATIONALLICENCE)springer-10.1007/s13131-013-0333-1 An effective method for improving the accuracy of Argo objective analysis [Elektronische Daten] [Chunling Zhang, Jianping Xu, Xianwen Bao, Zhenfeng Wang] Based on the optimal interpolation objective analysis of the Argo data, improvements are made to the empirical formula of a background error covariance matrix widely used in data assimilation and objective analysis systems. Specifically, an estimation of correlation scales that can improve effectively the accuracy of Argo objective analysis has been developed. This method can automatically adapt to the gradient change of a variable and is referred to as "gradient-dependent correlation scale method”. Its effect on the Argo objective analysis is verified theoretically with Gaussian pulse and spectrum analysis. The results of one-dimensional simulation experiment show that the gradient-dependent correlation scales can improve the adaptability of the objective analysis system, making it possible for the analysis scheme to fully absorb the shortwave information of observation in areas with larger oceanographic gradients. The new scheme is applied to the Argo data objective analysis system in the Pacific Ocean. The results are obviously improved. The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg, 2013 gradient-dependent correlation scale nationallicence background error covariance nationallicence optimal interpolation nationallicence spectrum analysis nationallicence Argo data nationallicence Zhang Chunling Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut Xu Jianping Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut Bao Xianwen Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut Wang Zhenfeng Marine Hydrologic Meteorological Center, Command of Navy East China Sea Fleet, 312122, Ningbo, China aut Acta Oceanologica Sinica Springer Berlin Heidelberg 32/7(2013-07-01), 66-77 0253-505X 32:7<66 2013 32 13131 https://doi.org/10.1007/s13131-013-0333-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13131-013-0333-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Chunling Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut NATIONALLICENCE 700 1- Xu Jianping Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut NATIONALLICENCE 700 1- Bao Xianwen Institute of Marine Environment, Ocean University of China, 266003, Qingdao, China aut NATIONALLICENCE 700 1- Wang Zhenfeng Marine Hydrologic Meteorological Center, Command of Navy East China Sea Fleet, 312122, Ningbo, China aut NATIONALLICENCE 773 0- Acta Oceanologica Sinica Springer Berlin Heidelberg 32/7(2013-07-01), 66-77 0253-505X 32:7<66 2013 32 13131 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer