【摘要】 针对GRACE(gravity recovery and climate experiment)时变重力场模型中因高阶项误差引起的南北条带误差,分析利用滤波算法消除该条带误差的基本原理,着重研究Fan滤波和高斯滤波的理论差异,最后利用CSR(center for space research of texas university in austin)提供的Level-2 RL05版本时GRACE重力场数据对2010年全球陆地水储量月变化进行了数值计算,并分别利用Fan滤波和高斯滤波对相关误差进行了处理,并将计算结果与GLDAS(global land data assimilation system)水文模型的结果进行了验证分析。比较结果表明:Fan滤波相对于高斯滤波,能够有效地消除模型高阶项误差引起的条带误差。更多还原

【Abstract】 Aimming to"south-north"band errors caused by the high-order error in gravity recovery and climate experiment( GRACE) time-variable gravity field model,the basic principle of filter algorithm for elimination of this band error was analyzed,and the theory differences between Fan filter and Guassian filter were studied. Finally,the global continental water storage variation in 2010 was calculated using GRACE Level-2 RL05 gravity filed data published by center for space research of texas university in austin( CSR),and the correlated errors were processed by Fan filter and Guassian filter. The calculated results are verified and analyzed by comparing to global land data assimilation system( GLDAS) hydrological model. The comparison results show that Fan filter can effectively eliminate the band error caused by the model high-order term error compared with gaussion filter.更多还原