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Detection of Long-Term Instabilities on Altimeter Backscatter Coefficient Thanks to Wind Speed Data Comparisons from Altimeters and Models

机译:通过高度计和模型的风速数据比较,可以检测高度计反向散射系数的长期不稳定性

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As long-term stability of altimeter backscatter coefficient (σ0) can impact the accuracy of the Global Mean Sea Level (GMSL) trend through the Sea State Bias (SSB) correction, it is important to accurately monitor its evolution in order to detect potential instabilities. This study aims to characterize long-term uncertainties from several altimeter missions. The originality of our approach is to perform comparisons between wind speed estimations deduced from σ0 measurements and from ERA-interim reanalysis. Thanks to the good temporal correlation between the Global Wind Speed (GWS) evolution issued from altimeters and the atmospheric reanalysis, the detection of small drifts is possible in the altimeter time series. In particular, drifts have been detected on Jason-1 GWS between mid-2004 and 2005 and on Envisat prior to 2004. They are associated to σ0 jumps of approximately 0.03 dB. Larger anomalies have been detected on TOPEX σ0 data with variations reaching 0.2 dB. These low altimeter wind speed variations originate from small σ0 changes are within the instrumental stability requirements. However, via the SSB calculation, their impact on the GMSL evolution is estimated close to 0.1 mm/yr over the altimetry 20-year period. In addition, they strongly affect inter-annual GMSL variations with associated errors reaching 2 mm.
机译:由于高度计背向散射系数(σ0)的长期稳定性会通过海况偏差(SSB)校正影响全球平均海平面(GMSL)趋势的准确性,因此重要的是准确监视其演变以检测潜在的不稳定性。这项研究旨在表征几个高度计任务的长期不确定性。我们方法的独创性是在从σ0测量值和ERA临时重新分析得出的风速估算值之间进行比较。由于高度计发出的全球风速(GWS)演变与大气再分析之间具有良好的时间相关性,因此可以在高度计时间序列中检测到小的漂移。尤其是,在2004年中至2005年期间在Jason-1 GWS上以及2004年之前在Envisat上都检测到了漂移。这些漂移与大约0.03 dB的σ0跃迁有关。在TOPEXσ0数据上检测到较大的异常,变化达到0.2 dB。这些低高度计的风速变化源于仪器稳定性要求之内的小σ0变化。但是,通过SSB计算,在高海拔20年期间,它们对GMSL演变的影响估计接近0.1毫米/年。此外,它们严重影响年际GMSL变化,相关误差达到2 mm。

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