Research on the fusion methods of significant wave height data from multisatellite altimeters

CHEN Xiao-yan; YANG Jing-song; HUANG Wei-gen; WANG Juan; WANG He; ZHANG Rong

Article Contents

Article Navigation > Haiyang Xuebao > 2009 > 31(4): 51-57

CHEN Xiao-yan, YANG Jing-song, HUANG Wei-gen, WANG Juan, WANG He, ZHANG Rong. Research on the fusion methods of significant wave height data from multisatellite altimeters[J]. Haiyang Xuebao, 2009, 31(4): 51-57.

Citation:

PDF( 856 KB)

Research on the fusion methods of significant wave height data from multisatellite altimeters

State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

Received Date: 2008-06-16
Rev Recd Date: 2009-01-04

Abstract

Abstract

Significant wave height(SWH) data from multisatellite altimeters are merged to overcome the problem of insufficient temporal and spatial resolutions of single satellite altimeter data.The fusion data are more accurate for various marine applications.Data fusion methods,such as inverse distance to a power,Kriging and successive correction,are studied in order to find the suitable models and parameters for fusion of SWH data.Using the SWH data from GFO,Jason-1 and Envisat in China's seas and their adjacent seas,some factors which influence the fusion result are analyzed.These factors include different fusion methods,size of filter window and number of satellites.It is shown that(1) after the effective fusion,the distribution of SWH is almost the same as previous statistical analysis;(2) there is little difference among the results by different methods in case the distribution of altimeter data is sparse;(3) the filter window needs to be approx imately 2.5°×2.5°~3°×3° for reasonable results when the temporal resolution is 10 d;(4) at least three satellites are needed.
- altimeter,
- significant wave height,
- data fusion,
- inverse distance to a power,
- Kriging,
- successive correction

FullText(HTML)

References(12)

References

HEMANDEZ F,LE TRAON P Y,MORROW R.Mapping mesoscale variability of the Azores Current using TOPEX/POSEIDON and ERS-1 altimetry,together with hydrographic and Lagrangian measurements[J].J Geophys Res,1995,100(C12):24995-25006.

GREENSLADE D J M,CHELTON D B,SCHLAX M G.The midlatitude resolution capability of sea level fields constructed from single and multiple satellite altimeter datasets[J].J Atmos Ocean Technol,1997,14(4):849-870.

LARNICOL G,AYOUB N,LE TRAON P Y.Major changes in Mediterranean sea level variability from 7 years of TOPEX/Poseidon and ERS-1/2 data[J].J Mar Syst,2002,33(34):63-89.

LE TRAON P Y,FAUGERE Y,HEMANDEZ F.Can we merge GEOSAT follow-on with TOPEX/Poseidon and ERS-2 for an improved description of the ocean circulation?[J].J Atmos Ocean Technol,2003,20(6):889——895.

PASCUAL A,PUJOL M I,LARNICOL G.Mesoscale mapping capabilities of multisatellite altimeter missions:first results with real data in the Mediterranean Seal[J].J Mar Syst,2007,65(1-4):190-211.

QUEFFEULOU P.Long term quality status of wave height and wind speed measurements from satellite altimeters[R/OL].ftp://ftp.ifremer,fr/ifremer/cersat/documentation/presentations/2OO3/isope-05-2003,pdf,2003.

QUEFFEULOU P.Validation of ENVISAT RA-2 and JASON-1 altimeter wind and wave measurements[G]//Proceedings of IEEE Geoscience and Remote Sensing Symposium,v5.Toulouse:IEEE Press,2003:2987-2989.

王凯,张志祥,叶勇等.两点间曲面距离计算模型及应用[J].安徽农业大学学报,2003,30(3):345-348.

张岑,马继瑞.用客观分析方法生成海洋要素格点分布场[J].海洋通报,195,14(4):73-78.

潘晓滨,魏绍远,马华平,等.逐次最优插值方案及其试验[J].气象科学,1996,16(1):30一39.

陈红霞,华锋,袁业立.中国近海及临近海域海浪的季节特征及其时间变化[J].海洋科学进展,2006,24(4);407-414.

LE TRAON P Y,DIBARBOURE G.Mesoscale mapping capabilities of multiple satellite altimeter missions[J].J Atmos Ocean Technol,1999,19:1208-1223.

Relative Articles

Supplements(0)

Cited By

Proportional views