刘婷婷, 杨子健, 王泽民, 高柯夫. 利用风云3D微波成像仪数据估算北极海冰密集度的精度评价[J]. 武汉大学学报 ( 信息科学版), 2021, 46(12): 1843-1851. DOI: 10.13203/j.whugis20210449
引用本文: 刘婷婷, 杨子健, 王泽民, 高柯夫. 利用风云3D微波成像仪数据估算北极海冰密集度的精度评价[J]. 武汉大学学报 ( 信息科学版), 2021, 46(12): 1843-1851. DOI: 10.13203/j.whugis20210449
LIU Tingting, YANG Zijian, WANG Zemin, GAO Kefu. Evaluation of Arctic Sea Ice Concentration Estimated by Fengyun-3D Microwave Radiation Imager[J]. Geomatics and Information Science of Wuhan University, 2021, 46(12): 1843-1851. DOI: 10.13203/j.whugis20210449
Citation: LIU Tingting, YANG Zijian, WANG Zemin, GAO Kefu. Evaluation of Arctic Sea Ice Concentration Estimated by Fengyun-3D Microwave Radiation Imager[J]. Geomatics and Information Science of Wuhan University, 2021, 46(12): 1843-1851. DOI: 10.13203/j.whugis20210449

利用风云3D微波成像仪数据估算北极海冰密集度的精度评价

Evaluation of Arctic Sea Ice Concentration Estimated by Fengyun-3D Microwave Radiation Imager

  • 摘要: 海冰密集度(sea ice concentration, SIC)是北极海冰及气候变化研究的重要参数。国产风云3D卫星搭载的微波成像仪(microwave radiation imager,MWRI)获得的被动微波数据可用于SIC的估算,但其精度评价没有得到足够的重视。围绕MWRI数据应用于北极SIC估算精度开展研究,研究对比了专用微波成像仪(special sensor microwave imager sounder,SSMIS)、MWRI和先进微波扫描辐射计2(advanced microwave scanning radiometer 2,AMSR2)3种被动微波数据和Bootstrap(BST)、NASA Team(NT)、基于全约束最小二乘(fully constrained least squares,FCLS)、Enhanced NASA Team(NT2)、ASI(Arctic radiation and turbulence interaction study (ARTIST) sea ice)和FCLS-P 6种方法估算的SIC,并与船测数据进行了比较。结果表明,MWRI数据在12.5 km和25 km空间分辨率下均获得较优的SIC估算精度(20.4%~24.4%)。此外,MWRI数据在夏季和冬季都表现较好(夏季为17.9%~23.0%,冬季为11.2%~17.8%)。因此,MWRI具有较稳定的性能,在北极海冰参数的监测研究中极具潜力。

     

    Abstract:
      Objectives  Sea ice concentration (SIC), which is defined as the proportion of a given area of ocean that is covered by ice, is a significant parameter for Arctic sea ice and climate change, an important input for regional climate model and numerical weather prediction model. The passive microwave sensors are able to penetrate the atmosphere and clouds, regardless of observation time, and their data is commonly used to retrieve SIC. Passive microwave obtained from the microwave radiation imager (MWRI) aboard on the Chinese Fengyun-3 (FY-3) series satellites can be used to extract polar SIC. However, the study on its accuracy is limited.
      Methods  This paper focuses on the application of MWRI to Arctic SIC estimation accuracy, and compares the SIC obtained using special sensor microwave imager sounder (SSMIS), MWRI and advanced microwave scanning radiometer 2 (AMSR2) data, and utilizes Bootstrap, NASA Team(NT), fully constrained least squares (FCLS), Enhanced NASA Team (NT2) and Arctic radiation and turbulence interaction study (ARTIST) sea ice (ASI) methods with the in-situ data.
      Results  Validation results show that MWRI has the smallest root mean square error (RMSE) at different spatial resolution (20.4%-24.4%). FCLS performed better than the other five algorithms for three passive microwave data because the error was considered during the SIC retrieve, the SIC was constrained with non-negative constrain, and numerical optimization was used to solved the SICs. In addition, MWRI performs well in summer (17.9%-23.0%) and winter (11.2%-17.8%).
      Conclusions  MWRI has relatively stable performance and a great potential for sea ice monitoring. Uncertainty also exists in evaluation, such as the uncertainty of accuracy of in-situ data in Arctic and tie points. Furthermore, scale difference between multi-source data could also induce the uncertainty of validation.

     

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