利用局部高空間分辨率大氣數(shù)據(jù)計(jì)算GRACE大氣去混頻模型
發(fā)布時(shí)間:2018-12-09 08:31
【摘要】:在計(jì)算GRACE重力場(chǎng)反演中的大氣去混頻模型時(shí),針對(duì)ECMWFop或ERA-Interim大氣數(shù)據(jù)空間水平分辨率不足的問(wèn)題,提出了一種局部區(qū)域高空間水平分辨率大氣數(shù)據(jù)與全球大氣數(shù)據(jù)合理拼接融合的方法。利用歐洲局部區(qū)域的大氣數(shù)據(jù)與ERA-Interim大氣數(shù)據(jù)融合計(jì)算了一組改進(jìn)的大氣去混頻模型,從譜域、空域及星間距離變率殘差角度分析了改進(jìn)大氣去混頻模型的質(zhì)量。結(jié)果表明改進(jìn)大氣去混頻模型相對(duì)于常規(guī)大氣去混頻模型的質(zhì)量提高最大比例為1.87%,與AOD1BRL05相對(duì)于RL04的提高比例2.27%相當(dāng),驗(yàn)證了高空間水平分辨率大氣數(shù)據(jù)確實(shí)有助于提高大氣去混頻模型質(zhì)量的結(jié)論,為改進(jìn)GRACE提取局部區(qū)域特定質(zhì)量變化信號(hào)提供了一種方法。
[Abstract]:When calculating the atmospheric de-mixing model in GRACE gravity field inversion, the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is insufficient. In this paper, a new method of combining the local high spatial resolution atmospheric data with global atmospheric data is presented. A set of improved atmospheric de-mixing models are calculated using the fusion of regional atmospheric data in Europe and ERA-Interim atmospheric data. The quality of the improved atmospheric de-mixing model is analyzed from the angle of spectral domain, spatial domain and the residual angle of variation rate of inter-satellite distance. The results show that the quality of the improved model is 1.87% higher than that of the conventional model, which is equivalent to 2.27% of AOD1BRL05 relative to RL04. The conclusion that high spatial horizontal resolution atmospheric data is helpful to improve the quality of atmospheric demultiplexing model is verified, which provides a method for improving GRACE to extract the specific mass variation signals in local regions.
【作者單位】: 西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(41404018;41574018) 中央高;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)基金(2682015CX010) 高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金(20120184120006)~~
【分類號(hào)】:P223
[Abstract]:When calculating the atmospheric de-mixing model in GRACE gravity field inversion, the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is insufficient. In this paper, a new method of combining the local high spatial resolution atmospheric data with global atmospheric data is presented. A set of improved atmospheric de-mixing models are calculated using the fusion of regional atmospheric data in Europe and ERA-Interim atmospheric data. The quality of the improved atmospheric de-mixing model is analyzed from the angle of spectral domain, spatial domain and the residual angle of variation rate of inter-satellite distance. The results show that the quality of the improved model is 1.87% higher than that of the conventional model, which is equivalent to 2.27% of AOD1BRL05 relative to RL04. The conclusion that high spatial horizontal resolution atmospheric data is helpful to improve the quality of atmospheric demultiplexing model is verified, which provides a method for improving GRACE to extract the specific mass variation signals in local regions.
【作者單位】: 西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(41404018;41574018) 中央高;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)基金(2682015CX010) 高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金(20120184120006)~~
【分類號(hào)】:P223
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