多源星载微波散射计海面风场误差分析

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中图分类号：P732.7 文献标志码：A 文章编号：2096-3599（2025）03-0051-11

DOI：10.19513/j.cnki.hyqxxb.20250214001

AbstractTo date， there are 8 satelites worldwide carrying various types of microwave scatterometers， providing indispensable support for the remote sensing of global sea surface winds. Quantitative and comprehensive evaluation of the error characteristics of those microwave scaterometer-derived sea surface winds is a prerequisite for the optimal application of multi-scaterometer wind data.This study conducts quality assessments on the sea surface wind data for 5 Chinese operational scatterometers and two Advanced Scaterometers （ASCAT） from the European Organization for the Exploitation of Meteorological Satelites （EUMETSAT），using both buoy wind and European Centre for Medium Range Weather Forecasts（ECMWF） data in 2O22.The analytical techniques include pairwise comparison，Kolmogorov spectral analysis and triple collocation analysis.The results of spectral analysisareas follws.（1）All spaceborne scatterometers are able to depict more spatial variability compared to the ECMWF data， indicating that satelite scaterometers outperform ECMWF in resolving mesoscale（below 100km ） dynamic characteristics over sea surface.（2） The triple colocation analysis method not only enables quantitative evaluation of the inherent errors in each data source within the triple collocated datasets，but also facilitates cross-comparison of eror characteristics among different scatterometers’wind products. （3）Overall，the inherent random errors of scatterometer wind u and v components range between O.5 and 1.3m⋅s-1 . The results provide crucial references for the error covariance settings in applications utilizing multi-scatterometer sea surface wind data.

Keywordsscatterometer; sea surface wind; error analysis; triple collocation analysis

0 引言

海面风场是海洋表面和大气下垫面的基本变量之一，通过调制海气之间的热通量、水汽通量以及二氧化碳等气体通量影响全球天气和气候。（剩余11696字）