当前位置: X-MOL 学术IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Towards an enhanced SMOS Level 2 Ocean Salinity product
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( IF 5.5 ) Pub Date : 2020-01-01 , DOI: 10.1109/jstars.2020.3034432
Estrella Olmedo , Veronica Gonzalez-Gambau , Antonio Turiel , Sebastien Guimbard , Cristina Gonzalez-Haro , Justino Martinez , Carolina Gabarro , Marcos Portabella , Manuel Arias , Roberto Sabia , Roger Oliva , Ignasi Corbella

The quality of the Soil Moisture and Ocean Salinity (SMOS) sea surface salinity (SSS) measurements has been noticeably improved in the past years. However, for some applications, there are still some limitations in the use of the Level-2 ocean salinity product. First, the SSS measurements are still affected by a latitudinal and seasonal bias. Second, the high standard deviation of the SSS error could significantly degrade part of the SSS signal. Finally, the coverage of the Level-2 salinity measurements is significantly reduced after applying filtering criteria to discard the poor-quality retrievals. In this work, we apply nodal sampling to the SMOS brightness temperatures (TBs), which effectively reduces the standard deviation of the TB error; then, we use debiased non-Bayesian retrieval for the mitigation of systematic biases on SSS and the statistical filtering criteria of the degraded salinity retrievals; and finally, we comprehensively characterize the residual latitudinal and seasonal biases and derive a correction for the retrieved SSS. We generate three years of an enhanced SMOS Level-2 Ocean Salinity product and we compare its performances with the ones corresponding to the European Space Agency SMOS Level-2 Ocean Salinity product (v662).

中文翻译:

迈向增强型 SMOS 2 级海洋盐度产品

过去几年,土壤水分和海洋盐度 (SMOS) 海面盐度 (SSS) 测量的质量得到了显着改善。但是,对于某些应用,Level-2 海洋盐度产品的使用仍然存在一些限制。首先,SSS 测量值仍受纬度和季节性偏差的影响。其次,SSS 误差的高标准偏差会显着降低部分 SSS 信号。最后,在应用过滤标准丢弃低质量检索后,2 级盐度测量的覆盖范围显着减少。在这项工作中,我们将节点采样应用于 SMOS 亮度温度 (TBs),这有效地降低了 TB 误差的标准偏差;然后,我们使用去偏非贝叶斯检索来减轻 SSS 的系统偏差和退化盐度检索的统计过滤标准;最后,我们全面描述了残余的纬度和季节偏差,并对检索到的 SSS 进行了修正。我们生成了三年的增强型 SMOS 2 级海洋盐度产品,并将其性能与欧洲航天局 SMOS 2 级海洋盐度产品 (v662) 对应的性能进行了比较。
更新日期:2020-01-01
down
wechat
bug