交叉定标产生的NOAA卫星长期大气温度观测资料

A Long-term Atmospheric Temperature Dataset Derived from NOAA Microwave Sounding Unit with Cross-calibration

介绍一套用于气候变化研究的NOAA卫星微波观测资料,资料为全球5d平均,2.5°×2.5°经纬网格,3个深层大气(对流中层、对流层顶以及平流层下层)的温度分布。该文简介了资料产生的方法,包括交叉定标、角度订正、网格化以及网格误差修正等,给出了使用这套资料分析得到的1987—2006年间不同大气层的温度变化趋势,并提供了获取这套资料的方法。

The Microwave Sounding Unit （MSU） on board the National Oceanic and Atmospheric Administration （NOAA） polar-orbiting satellites measures the atmospheric temperature from the surface to the lower strato-sphere under all weather conditions, excluding precipitation. These instruments are extensively used to determine the atmospheric temperature trend. However, calibration errors are a major source of uncertainties in the trend determination. Recently, NOAA/National Environmental Satellite, Data and Information Services has developed a non-Iinear sequential calibration method using simultaneous nadir overpass （SNO） to reduce calibration errors and then a long-term MSU deep-layer atmospheric temperature dataset is generated based on the new calibration. The dataset is introduced, which includes global 5-day averaged deep-layer temperatures for the midtroposphere, tropopause, and lower-stratosphere with grid resolution of 2.5° latitude by 2.5° longitude. Also, the methodologies for the dataset generation are described, which including cross-calibration, incident angie correction, grid data generation, and bias correction in gridded data, The 20-year climate trends during 1987- 2006 for the three layers are obtained from the dataset. Finally, the website for acquiring the dataset is provided.