首页> 外文会议>Symposium on 20 Years of Progress in Radar Altimetry >INVESTIGATING AND REDUCING THE DIFFERENCES BETWEEN THE SATELLITE ALTIMETRY-BASED GLOBAL MEAN SEA LEVEL TIME SERIES PROVIDED BY THE DIFFERENT PROCESSING GROUPS
【24h】

INVESTIGATING AND REDUCING THE DIFFERENCES BETWEEN THE SATELLITE ALTIMETRY-BASED GLOBAL MEAN SEA LEVEL TIME SERIES PROVIDED BY THE DIFFERENT PROCESSING GROUPS

机译:调查和降低不同处理组提供的卫星高度偏移的全球平均海平面序列之间的差异

获取原文

摘要

Satellite altimetry-based global mean sea level (GMSL) time series provided by the different processing groups agree well in terms of trend over the whole altimetry era (1993-2010) but show significant differences at interannual time scale. In a recent paper, Masters et al (2012) investigated the effect of the different geophysical corrections and processing methodology adopted by the different groups, and found that the method of data averaging and minimum depth criteria seemed to be the main causes of the observed discrepancies. Here we go one step further and attempt to discriminate the best approach for averaging the satellite data to product the GMSL time series. We also address the effect of considering or not the shelf areas. For that purpose, we use the versions GLORYS2V1of the high-resolution MERCATOR ocean circulation model, with data assimilation (temporal and spatial resolutions of 1-day and 0.25°). We produce a set of synthetic sea surface height (SSH) data by interpolating the model data at the time and location of the 'true' along-track satellite altimetry measurements. We focus on the Jason-1 operating period (i.e., 2002-2009). These synthetic SSH data are then treated as “true” altimetric measurements. With this synthetic data set, we test the different averaging methods classically used by the processing groups: along-track averaging, simple gridding (on 1°×1°, 2°×2° or 3°×3° grids) and more sophisticated gridding procedures. We also test the effect of considering or not shallow depths (<120 m). Finally we discuss the effect of the wet troposphere correction replacement in JASON-1 data.
机译:基于卫星Altimetry的全球平均海平面(GMSL)时间序列由不同的处理组提供,在整个Altimetry时代(1993-2010)的趋势方面同意,但在年间隔尺度上显示出显着差异。在最近的一篇论文中,Masters等人(2012)调查了不同组采用的不同地球物理校正和处理方法的影响,发现数据平均和最小深度标准的方法似乎是观察到的差异的主要原因。在这里,我们进一步走一步并尝试区分最佳方法来平均卫星数据以产品GMSL时间序列。我们还解决了考虑或不是货架区域的效果。为此目的,我们使用高分辨率Mercator海洋循环模型的版本Mlorys2V1OF,具有数据同化(时间和空间分辨率为1天和0.25°)。我们通过在轨道轨道卫星高度测量的“真实”的时间和位置,通过插入模型数据来生产一组合成海表面高度(SSH)数据。我们专注于Jason-1运行期(即,2002-2009)。然后将这些合成的SSH数据视为“真实”的过度测量。通过这种合成数据集,我们测试了处理组经典使用的不同平均方法:沿轨道平均,简单网格(1°×1°,2°×2°或3°×3°栅格)和更复杂的网格网格程序。我们还测试考虑或不浅深度(<120米)的效果。最后,我们探讨了湿度矫正替代品在杰森-1数据中的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号