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一种新的利用散射计(ERS1/2)数据反演有效波高和平均周期的模式被提出。通过俄罗斯学者利用浮标数据建立完全成长风浪条件下有效波高与风速之间的关系,与匹配浮标观测的有效波高数据对比,区分完全成长风浪、成长风浪和涌浪3种海况下的匹配数据；利用 BP 神经网络建立模式反演3种海况下的有效波高,均方根误差分别为0．53、0．57和0．86 m,反演平均周期均方根误差分别为0．69、1．04和1．36 s。这种反演方法在完全成长风浪海况下最好,依次是成长风浪和涌浪海况。该研究为散射计数据反演波浪参数提供了依据,使大面积反演波浪参数成为可能。“,”A new model is proposed to estimate the significant wave height and average period with ERS-1/2 scatterometer data.The relationship between the wind speed and significant wave height in full developing wind-wave domination is established by Russian scholars.Through this formula,the data that based on the ERS1/2 data and the NDBC buoys data matching were distinguished into three states:developing wind-wave,full developing wind-wave and swell wave,respectively.The significant wave heights and average pe-riod are retrieved by Back Propagation neural network,the root mean square is 0.53,0.57,0.90 m and 0.69 s,1.04 s,1.36 s in three states,respectively.This method inversion significant wave height and period is found that the full developing wind-wave domination is best effect,in turn,is the developing wind-wave, the last is swell wave.The study provides the basis for scatterometer data inversion of wave parameters.It makes the biggest possible inversion wave parameters in large area.