Blending Sea Surface Temperatures from Multiple Satellites and In Situ Observations for Coastal Oceans

被引:105
作者
Chao, Yi [1 ]
Li, Zhijin [1 ]
Farrara, John D. [2 ]
Hung, Peter
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[2] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA
关键词
SYSTEM; INTERPOLATION; ACCURACY; CLIMATE; SST;
D O I
10.1175/2009JTECHO592.1
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A two-dimensional variational data assimilation (2DVAR) method for blending sea surface temperature (SST) data from multiple observing platforms is presented. This method produces continuous fields and has the capability of blending multiple satellite and in situ observations. In addition, it allows specification of inhomogeneous and anisotropic background correlations, which are common features of coastal ocean flows. High-resolution ( 6 km in space and 6 h in time) blended SST fields for August 2003 are produced for a region off the California coast to demonstrate and evaluate the methodology. A comparison of these fields with independent observations showed root-mean-square errors of less than 1 degrees C, comparable to the errors in conventional SST observations. The blended SST fields also clearly reveal the finescale spatial and temporal structures associated with coastal upwelling, demonstrating their utility in the analysis of finescale flows. With the high temporal resolution, the blended SST fields are also used to describe the diurnal cycle. Potential applications of this SST blending methodology in other coastal regions are discussed.
引用
收藏
页码:1415 / 1426
页数:12
相关论文
共 29 条
[1]   Satellite-based daily SSTs over the global ocean [J].
Barron, Charlie N. ;
Kara, A. Birol .
GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (15)
[2]   TECHNIQUE FOR OBJECTIVE ANALYSIS AND DESIGN OF OCEANOGRAPHIC EXPERIMENTS APPLIED TO MODE-73 [J].
BRETHERTON, FP ;
DAVIS, RE ;
FANDRY, CB .
DEEP-SEA RESEARCH, 1976, 23 (07) :559-582
[3]  
Carter E. F., 1987, Journal of Atmospheric and Oceanic Technology, V4, P49, DOI 10.1175/1520-0426(1987)004<0049:AMFTEO>2.0.CO
[4]  
2
[5]   A high-resolution surface vector wind product for coastal oceans: Blending satellite scatterometer measurements with regional mesoscale atmospheric model simulations [J].
Chao, Y ;
Li, ZJ ;
Kindle, JC ;
Paduan, JD ;
Chavez, FP .
GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (01)
[6]   Development, implementation and evaluation of a data-assimilative ocean forecasting system off the central California coast [J].
Chao, Yi ;
Li, Zhijin ;
Farrara, John ;
McWilliams, James C. ;
Bellingham, James ;
Capet, Xavier ;
Chavez, Francisco ;
Choi, Jei-Kook ;
Davis, Russ ;
Doyle, Jim ;
Fratantoni, David M. ;
Li, Peggy ;
Marchesiello, Patrick ;
Moline, Mark A. ;
Paduan, Jeff ;
Ramp, Steve .
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2009, 56 (3-5) :100-126
[7]  
Donlon CJ, 2002, J CLIMATE, V15, P353, DOI 10.1175/1520-0442(2002)015<0353:TIVOSS>2.0.CO
[8]  
2
[9]  
Graham A., 1981, Kronecker Product and Matrix Calculus: with Applications
[10]   Merging satellite infrared and microwave SSTs: Methodology and evaluation of the new SST [J].
Guan L. ;
Kawamura H. .
Journal of Oceanography, 2004, 60 (5) :905-912