A global vertical correction model of PWV considering the spatial-temporal variation of decay coefficient

doi:10.11947/j.AGCS.2024.20230148

Abstract

Abstract:

Precipitable water vapor (PWV) plays an important role in multi-scale climate change and atmospheric physical processes. To improve the accuracy of vertical correction of PWV and further extend the spatial applications of multi-source PWV products, we propose a global stratification grid model named as GPWVCS based on ERA5 reanalysis data from 2010 to 2019, considering the spatial-temporal variation of PWV vertical decay coefficient. And the accuracy and application of the new model on a global scale are evaluated using ERA5 and radiosonde derived-PWV. The results show that compared with the empirical model and the unstratified GPWVC model, the GPWVCS model effectively improves the vertical correction accuracy of PWV. Taking ERA5 PWV as reference, the RMS of PWV adjusted by GPWVCS model in each region over the globe is less than 1.9 mm. Taking radiosonde data profiles as reference, the annual mean RMS values of GPWVCS model in the tropical, temperate, frigid zone and globe are 2.24, 1.29, 0.44 and 1.44 mm, respectively, which achieve accuracy improvements of 34.6%, 14.1%, 10.9% and 21.4% compared with the empirical model, and they are corresponding to 6.4%, 5.8%, 9.4% and 6.0% improvement against the GPWVC model. The stratification algorithm of GPWVCS model greatly weakens the impact of the PWV accumulated error which is attributed to the exponential extrapolation. All three models with horizontal-resolutions of 1°×1°, 2°×2° and 5°×5° developed in this study can significantly improve the global performance of vertical correction for PWV in terms of different height differences, and users can choose the best model according to the requirements of computational efficiency and accuracy.

Key words: GPWVCS model, precipitable water vapor, decay coefficient, vertical stratification

CLC Number:

P228

Chunhua JIANG, Xiang GAO, Shuaimin WANG, Huizhong ZHU, Shaoni CHEN, Guangsheng LIU. A global vertical correction model of PWV considering the spatial-temporal variation of decay coefficient[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(5): 889-899.

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温度带	经验模型		GPWVC模型		GPWVCS模型
温度带	Bias	RMS	Bias	RMS	Bias	RMS
热带	－1.33	3.42	－0.30	2.40	－0.04	2.24
温带	－0.26	1.50	－0.07	1.37	0.05	1.29
寒带	－0.11	0.49	－0.10	0.48	0.04	0.44
全球	－0.46	1.83	－0.17	1.53	0.03	1.44