利用MERRA-2地表温压资料进行中国区域GNSS水汽反演的精度分析北大核心CSCD

为分析美国宇航局发布的最新MERRA-2再分析资料地表温压产品在中国区域进行GNSS水汽反演的精度,联合中国区域609个地面气象站实测温度和气压数据、48个GNSS站及并址探空站资料,评估MERRA-2温压产品及其在GNSS PWV反演中的精度。结果表明:1)MERRA-2气压和温度年均bias分别为-0.01 hPa和0.38 K,年均RMSE分别为1.08 hPa和2.66 K,MERRA-2再分析资料温压产品在中国区域具有较高的精度;2)MERRA-2再分析资料温压产品在中国大部分地区呈现负偏差,精度从高到低依次为南方地区、北方地区、西北地区和青藏高原地区;3)将MERRA-2温压产品的PWV反演结果与并址探空站实测PWV进行对比可知,MERRA-2再分析资料温压产品反演的GNSS PWV平均RMSE为2.16 mm,能较好地反映PWV的日变化。因此,MERRA-2地表温压产品在中国区域的气象研究及GNSS水汽监测中具有重要意义。

Accuracy Analysis of Chinese Mainland GNSS Water Vapor Inversion Using MERRA-2 Surface Temperature and Pressure Data

To analyze the accuracy of GNSS water vapor inversion performed by surface temperature and pressure products in China based on the latest MERRA-2 reanalysis data released by NASA, we combine the measured temperature and pressure data of 609 surface weather stations in China, 48 GNSS stations and co-location radiosonde stations. We evaluate MERRA-2 temperature and pressure products and their accuracy in GNSS PWV inversion. The results show that: 1) The annual average bias of MERRA-2 pressure and temperature data are -0.01 hPa and 0.38 K, respectively, and the annual average RMSE are 1.08 hPa and 2.66 K, respectively. The MERRA-2 reanalysis temperature and pressure products have high accuracy in China. 2) The temperature and pressure products of MERRA-2 reanalysis data show a negative deviation in most regions of China, and the order of accuracy from high to low is the southern region, the northern region, the northwest region and the Qinghai-Tibet Plateau region. 3) Compared with the PWV measured at the co-location sites, the average RMSE of GNSS PWV derived from MERRA-2 temperature and pressure products is 2.16 mm, and can better reflect the daily variation of PWV. Therefore, MERRA-2 surface temperature and pressure products have important applications in meteorological research and GNSS water vapor monitoring in China.