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Probing the Oceanic Precipitable Water Vapor Evolution Characteristics During the 2020 Tropical Cyclone Maysak Using the GNSS Radio Occultation and Satellite Microwave Radiometry Data

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China Satellite Navigation Conference (CSNC 2021) Proceedings

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 772))

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Abstract

A tropical cyclone (TC) is a rapidly rotating storm system with complex weather phenomena, such as powerful winds, heavy rainstorms, and damaging thunderstorms. It brings enormous effects on human lives and properties over the coastal area. Moreover, the intensity of TCs is showing an increasing trend with global warming. Therefore, monitoring tropical cyclones, including the atmospheric evolution characteristics, is scientifically and practically meaningful. The Global Navigation Satellite System (GNSS) radio occultation (RO) is a powerful tool to study the atmosphere evolution during the TC period. Much more RO sounding data can be utilized than before with the completion of the new generation six-satellite Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC-2) in 2019. In this study, we analyzed the precipitable water vapor (PWV) in the upper atmosphere between 1.6 km and 40.0 km. We classified the region around the TC eye center into five bands according to the distance to the TC eye center: band 1 for the region with a radius of 0–200 km from TC eye center; band 2 for 200–400 km; band 3 for 400–600 km; band 4 for 600–800 km; and band 5 for 800–1000 km. The PWV within the band 1 showed an evident increase from August 28 with a value of ~9.5 kg/m2 to September 1, 2020 with a value of ~43.6 kg/m2, when the TC became increasingly intensified. While the PWV in bands 2 to 5 showed a decreasing trend during this period. The mean PWV gradient was −2.47 \({\text{kg}}\; \cdot \;{\text{m}}^{{2}} \cdot \left( {100\;{\text{km}}} \right)^{ - 1}\) from band 1 to band 2, −.27 \({\text{kg}}\; \cdot \;{\text{m}}^{{2}} \cdot \left( {100\;{\text{km}}} \right)^{ - 1}\) from band 2 to band 3, −1.17 \({\text{kg}} \cdot {\text{m}}^{2} \cdot \left( {100\;{\text{km}}} \right)^{ - 1}\) from band 3 to band 4, and −1.16 \({\text{kg}}\; \cdot \;{\text{m}}^{{2}} \cdot \left( {100\;{\text{km}}} \right)^{ - 1}\) from band 4 to band 5. We also analyzed PWV data from altimetry satellites and found that symmetric spatial gradient of PWV can be apparently observed. These findings can help us further understand the atmospheric evolution characteristics over ocean during the TC period, thus improve the forecast reliability and accuracy.

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References

  1. Marks, F.D.: Tropical cyclones and hurricanes|hurricanes: observation. In: North, G.R., Pyle, J., Zhang, F. (eds.) Encyclopedia of Atmospheric Sciences, pp 35–56. 2nd edn. Academic Press, Oxford (2015)

    Google Scholar 

  2. Mendelsohn, R., Emanuel, K., Chonabayashi, S., Bakkensen, L.: The impact of climate change on global tropical cyclone damage. Nat. Clim. Change 2, 205–209 (2012)

    Article  Google Scholar 

  3. Bakkensen, L.A., Mendelsohn, R.O.: Global tropical cyclone damages and fatalities under climate change: an updated assessment. In: Collins, J.M., Walsh, K. (eds.) Hurric, pp. 179–197. Springer International Publishing, Cham, Risk (2019)

    Chapter  Google Scholar 

  4. Yamaguchi, M., Chan, J.C.L., Moon, I.-J., Yoshida, K., Mizuta, R.: Global warming changes tropical cyclone translation speed. Nat. Commun. 11, 47 (2020)

    Article  Google Scholar 

  5. Keclik, A.M., Evans, C., Roebber, P.J., Romine, G.S.: The influence of assimilated upstream, preconvective dropsonde observations on ensemble forecasts of convection initiation during the Mesoscale Predictability Experiment. Mon. Weather Rev. 145, 4747–4770 (2017)

    Article  Google Scholar 

  6. Lu, Q., Hu, J., Wu, C., et al.: Monitoring the performance of the Fengyun satellite instruments using radiative transfer models and NWP fields. J. Quant. Spectrosc. Radiat. Transf. 255, 107239 (2020)

    Article  Google Scholar 

  7. Draper, D.W., Newell, D.A., Wentz, F.J., Krimchansky, S., Skofronick-Jackson, G.M.: The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument overview and early on-orbit performance. IEEE. J. Sel. Top. Appl. Earth Obs. Remote Sens. 8, 3452–3462 (2015)

    Google Scholar 

  8. Healy, S.B., Polichtchouk, I., Horányi, A.: Monthly and zonally averaged zonal wind information in the equatorial stratosphere provided by GNSS radio occultation. Q. J. R. Meteorol. Soc. 146, 3612–3621 (2020)

    Google Scholar 

  9. Bai, W., Deng, N., Sun, Y., et al.: Applications of GNSS-RO to numerical weather prediction and tropical cyclone forecast. Atmosphere (2020). https://doi.org/10.3390/atmos11111204

    Article  Google Scholar 

  10. Mueller, M.J., Kren, A.C., Cucurull, L., Casey, S.P., Hoffman, R.N., Atlas, R., Peevey, T.R.: Impact of refractivity profiles from a proposed GNSS-RO constellation on tropical cyclone forecasts in a global modeling system. Mon. Weather Rev. 148, 3037–3057 (2020)

    Article  Google Scholar 

  11. Schreiner, W.S., Weiss, J.P., Anthes, R.A., et al.: COSMIC-2 Radio occultation constellation: first results. Geophys. Res. Lett. 47, e2019GL086841 (2020)

    Google Scholar 

  12. Fernandes, M.J., Lázaro, C., Vieira, T.: On the role of the troposphere in satellite altimetry. Remote Sens. Environ. 252, 112149 (2021)

    Article  Google Scholar 

  13. Hong Kong Observatory: Tropical Cyclones in 2020. Hong Kong Observatory, Hong Kong (2020)

    Google Scholar 

  14. Knapp, K.R., Kruk, M.C., Levinson, D.H., Diamond, H.J., Neumann, C.J.: The International Best Track Archive for Climate Stewardship (IBTrACS). Bull. Am. Meteorol. Soc. 91, 363–376 (2010)

    Article  Google Scholar 

  15. Böhm, J., Schuh, H.: Atmospheric Effects in Space Geodesy. Springer, New York (2013)

    Google Scholar 

  16. Donlon, C., Berruti, B., Buongiorno, A., et al.: The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission. Sentin Missions - New Oppor Sci 120, 37–57 (2012)

    Google Scholar 

  17. Zhu, M., Liu, Z., Hu, W.: Observing water vapor variability during three super typhoon events in hongkong based on GPS water vapor tomographic modeling technique. J. Geophys. Res. Atmos. 125, e2019JD032318 (2020)

    Google Scholar 

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Acknowledgments

The grant support from the Key Program of the National Natural Science Foundation of China (project No.: 41730109) is acknowledged. The grant supports from the Hong Kong Research Grants Council (RGC) project (B-Q61L PolyU 152222/17E) are highly appreciated. The support from the project (No. 1-BBWJ) in the Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of The Hong Kong Polytechnic University is also acknowledged.

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Yu, S., Liu, Z. (2021). Probing the Oceanic Precipitable Water Vapor Evolution Characteristics During the 2020 Tropical Cyclone Maysak Using the GNSS Radio Occultation and Satellite Microwave Radiometry Data. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2021) Proceedings. Lecture Notes in Electrical Engineering, vol 772. Springer, Singapore. https://doi.org/10.1007/978-981-16-3138-2_22

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  • DOI: https://doi.org/10.1007/978-981-16-3138-2_22

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