Near-Real-Time Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager/Sounder (SSMIS) Daily Polar Gridded Sea Ice Concentrations, Version 1

This Near-Real-Time Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager/Sounder (SSMIS) Daily Polar Gridded Sea Ice Concentrations (NRTSI) data set provides sea ice concentrations for both the Northern and Southern Hemispheres. The near-realtime passive microwave brightness temperature data that are used as input to this data set are acquired with the SSMIS on board the DMSP satellites. Starting with 1 April 2016, data from DMSPF18 are used. The SSMIS instrument is the next generation Special Sensor Microwave/Imager (SSM/I) instrument. SSMIS data are received daily from the Comprehensive Large Array-data Stewardship System (CLASS) at the National Oceanic and Atmospheric Administration (NOAA) and are gridded onto a polar stereographic grid. Investigators generate sea ice concentrations from these data using the NASA Team algorithm. These NRTSI data are primarily meant to provide a best estimate of current ice conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. In addition, the NRTSI data are processed as closely as possible to the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, however, the NRTSI data should be used with caution in extending the GSFC sea ice time series

本近实时国防气象卫星计划（Defense Meteorological Satellite Program，DMSP）专用传感器微波成像/声纳仪（Special Sensor Microwave Imager/Sounder，SSMIS）每日极区网格化海冰浓度（Near-Real-Time Daily Polar Gridded Sea Ice Concentrations，NRTSI）数据集，可为南北半球提供海冰浓度数据。本数据集的输入数据为近实时被动微波亮温数据，由搭载于DMSP卫星的SSMIS获取。自2016年4月1日起，数据集采用DMSPF18卫星采集的数据。SSMIS仪器为专用传感器微波成像仪（Special Sensor Microwave/Imager，SSM/I）的下一代产品。SSMIS数据每日由美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration，NOAA）下属的综合大型阵列数据管理系统（Comprehensive Large Array-data Stewardship System，CLASS）接收，并被网格化投影至极立体投影网格。研究人员利用NASA团队算法从上述数据中反演得到海冰浓度。本NRTSI数据集主要旨在基于数据采集时可用的信息与算法，提供当前海冰状况的最优估计。近实时产品不可用于导航海冰状况评估的业务化作业。此外，NRTSI数据的处理流程尽可能贴合戈达德太空飞行中心（Goddard Space Flight Center，GSFC）发布的《雨云7号SMMR与DMSP SSM/I-SSMIS被动微波数据海冰浓度》数据集，但在延伸该GSFC海冰时间序列时，需谨慎使用NRTSI数据。