| Qin Sisi,Wang Hui,Zhu Jiang,Wan Liying,Zhang Yu,Wang Haoyun. 2020. Validation and correction of sea surface salinity retrieval from SMAP. Acta Oceanologica Sinica, 39(3):148－158 |
| Validation and correction of sea surface salinity retrieval from SMAP |
| SMAP卫星海表盐度产品的检验与校正 |
| Received:October 18, 2018 |
| DOI：10.1007/s13131-020-1533-0 |
| Key words:sea surface salinity (SSS) soil moisture active passive (SMAP) soil moisture and ocean salinity (SMOS) validation correction |
| 中文关键词: 海表盐度 SMAP SMOS 检验 校正 |
| 基金项目:The National Key Research and Development Program of China under contract Nos 2016YFC1401409 and 2016YFC1401704; the National Natural Science Foundation of China under contract Nos 41506031 and 41606029. |
| Author Name | Affiliation | E-mail | | Qin Sisi | National Meteorological Center, Beijing 100081, China
Numerical Weather Prediction Center of China Meteorological Administration, Beijing 100081, China | | | Wang Hui | Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China | | | Zhu Jiang | International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
University of the Chinese Academy of Sciences, Beijing 100049, China | | | Wan Liying | Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China | liying.wan@nmefc.cn | | Zhang Yu | Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China | | | Wang Haoyun | Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China
University of the Chinese Academy of Sciences, Beijing 100049, China | |
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| Abstract: |
| In this study, sea surface salinity (SSS) Level 3 (L3) daily product derived from soil moisture active passive (SMAP) during the year 2016, was validated and compared with SSS daily products derived from soil Moisture and ocean salinity (SMOS) and in-situ measurements. Generally, the root mean square error (RMSE) of the daily SSS products is larger along the coastal areas and at high latitudes and is smaller in the tropical regions and open oceans. Comparisons between the two types of daily satellite SSS product revealed that the RMSE was higher in the daily SMOS product than in the SMAP, whereas the bias of the daily SMOS was observed to be less than that of the SMAP when compared with Argo floats data. In addition, the latitude-dependent bias and RMSE of the SMAP SSS were found to be primarily influenced by the precipitation and the sea surface temperature (SST). Then, a regression analysis method which has adopted the precipitation and SST data was used to correct the larger bias of the daily SMAP product. It was confirmed that the corrected daily SMAP product could be used for assimilation in high-resolution forecast models, due to the fact that it was demonstrated to be unbiased and much closer to the in-situ measurements than the original uncorrected SMAP product. |
| 中文摘要: |
| 通过对SMAP（Soil Moisture Active Passive）卫星海表盐度L3（Level 3）产品、SMOS（Soil Moisture and Ocean Salinity）卫星海表盐度L3产品与现场观测的海表盐度天数据产品进行检验对比，结果表明卫星海表盐度的天数据产品的均方根误差在沿岸及高纬度海区较大，在热带海区及开阔水域较小。SMAP和SMOS卫星产品的检验对比结果表明，当与Argo浮标比较时，SMAP卫星的平均均方根误差较小，SMOS卫星的平均偏差较小。此外，SMAP卫星产品与再分析数据的相关分析表明，SMAP卫星海表盐度产品的纬向偏差与均方根误差受降水和海表面温度的影响较大。基于这一结论，本文通过使用回归算法和再分析的降水与海表面温度数据对SMAP卫星的海表盐度产品进行订正，并对订正后的产品与现场观测间进行对比检验。结果表明，相较于订正前，订正后的产品更接近于无偏估计，与现场观测数据更接近。 |
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