A grid model for the lapse rate of atmospheric weighted mean temperature over China

doi:10.11947/j.AGCS.2023.20210226

Abstract

Abstract: Atmospheric weighted mean temperature (T_m) is an important parameter for retrieving precipitable water vapor (PWV) from GNSS signals. However, current empirical T_m models are difficult to capture the diurnal variation of T_m, which limited its application in high temporal resolution GNSS-PWV monitoring. The T_m information with high temporal resolution can be obtained by atmospheric reanalysis data, which is need to use high-precision T_m lapse rate model for vertical elevation correction. Aiming at the shortages of current T_m lapse rate models, which only single gridded point data is used for modeling, we used MERRA-2 reanalysis data over 6 a period from 2012 to 2016 to develop T_m lapse rate grid model considering the time-varying lapse rate with horizontal resolutions of 1°×1.25°, 2°×2.5° and 4°×5° based on sliding window algorithm, named as CTm-H1, CTm-H2 and CTm-H3 model, respectively. Both MERRA-2, GGOS atmospheric gridded data and radiosonde data from 2017 are treated as reference values to assess the performance of CTm-H models. The results are compared with the united T_m lapse rate model of China, named as united model. The results show that CTm-H models show the similar performance when compared with MERRA-2 gridded data, before MERRA-2 surface gridded data were corrected to each layer height of MERRA-2 pressure level gridded data by CTm-H models, CTm-H models show significant advantages when the height difference between two kinds of T_m data is large. In terms of RMS, CTm-H models have improved by approximately 30% against united model. CTm-H models show the similar performance when compared with radiosonde data, before MERRA-2 surface gridded data and GGOS atmospheric gridded products were corrected to the height of radiosonde data by CTm-H models, respectively. In terms of RMS, CTm-H models have improved by approximately 3% and 5% against united model, respectively. CTm-H and united models show significant advantages compared with the condition without vertical correction, especially in western China. In summary, CTm-H models have a good performance in China, which is provided real-time high-precision T_m elevation correction for any location of the near-earth space range (the height range from 0 to 10 km) in China without any in situ meteorological parameters, thus, which have potential application for real-time high-precision GNSS-PWV retrieval in China.

Key words: atmospheric weighted mean temperature, T_m lapse rate, sliding window algorithm, GNSS precipitable water vapor, MEERA-2

CLC Number:

P228

XIE Shaofeng, WANG Yijie, HUANG Liangke, PENG Hua, LI Junyu, LIU Lilong. A grid model for the lapse rate of atmospheric weighted mean temperature over China[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(2): 206-217.

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