Abstract
Rapid variation of atmospheric water vapor is important to the regional hydrologic cycle and climate change. Due to the lack of high temporal resolution precipitable water vapor data, it is tough to monitor the rapid change of water vapor. This paper focuses on the hourly PWV data calculated by using the GNSS ZTD from CMONOC and meteorological parameters in ERA5 datasets from ECMWF and the application of PWV in ENSO event is also studied. This paper first verifies the pressure (P) and temperature (T) data in ERA5 datasets. Then, ZHD is calculated based on the atmospheric pressure data, and ZWD is obtained by using GNSS ZTD of CMONOC, and then PWV data of the Yunnan area is calculated based on Tm obtained by improved IGPT2w model from 2011 to 2017 and verified it. At last, the research on the abnormal daily variation of PWV during ENSO and the monitoring of ENSO events is carried out. The results show that: (1) The average RMS and bias of P/T are 3.33 hPa/1.20 K and 0.86 hPa/−0.15 K, respectively. (2) The average RMS and Bias of PWV difference from ERA5 and ERA-interim are 1.98 and 0.83 mm, respectively. (3) Based on the analysis of PWV daily variation during EI Niño Events in 2015–2016, it is found that the PWV daily variation in 2016 is significantly higher than that in 2015. (4) Combining temperature and SSTa index, a new index (ENSO Monitor Index, EMI) of ENSO events is proposed. The correlation between the index and SSTa is 0.59. Therefore, the results of this paper are considerable significance to the study of water vapor distribution and climate monitoring.
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Acknowledgements
Thanks for the reanalysis data provided by ECMWF and ZTD data provided by CMONOC. This study was supported by the National Natural Science Foundation of China (41904036), Xi’an University of science and technology excellent youth science and Technology Fund (2018YQ3-12), Shanxi provincial key research and development program (social development field) project (201803D31224) and the open research topic of Beijing Key Laboratory of Urban Spatial Information Engineering (2019210).
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Yang, P., Zhao, Q., Yao, W. (2020). High Temporal Resolution of PWV Acquisition Method and Its Preliminary Application in Yunnan. In: Sun, J., Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume I. CSNC 2020. Lecture Notes in Electrical Engineering, vol 650. Springer, Singapore. https://doi.org/10.1007/978-981-15-3707-3_5
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DOI: https://doi.org/10.1007/978-981-15-3707-3_5
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