Abstract
Hurricane is a severely destructive weather system, and the global warming, meanwhile, is not a good trend currently. The relationship between global surface temperature and the trend of global temperature change can be derived by using the MODIS remote sensing data. Global temperature change in the next 10 years can be obtained: keep a rise rate of 0.24 K. The main factors of affecting the intensity of hurricane are pressure, humidity and inertial stability. Firstly, the relationship between air pressure and wind speed is established by a linear regression model. Then, the relationship between the humidity and the wind speed is obtained through the analysis of the humidity field in the typhoon area. Since the temperature mainly affects the pressure, the air pressure, therefore, is used as a key factor in the analysis of global hurricane activity and global warming. A case study in the Pacific Northwest shows that global warming will probably cause a 3–5% increase in wind speed for every 1 °C rise in temperature.
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References
Lapetina A, Sheng YP (2015) Simulating complex storm surge dynamics: three-dimensionality, vegetation effect, and onshore sediment transport. J Geophys Res Ocean 120:7363–7380
Leadon M (2015) Beach slope and sediment-grain-size trends as a basis for input parameters for the SBEACH erosion model. J Coast Res 31:1375–1388
Liu K, Chen Q, Hu K, Xu K (2015) Numerical simulation of sediment deposition and erosion on Louisiana coast during Hurricane Gustav. Proc Coast Sediments
Nardin W, Edmonds DA (2014) Optimum vegetation height and density for inorganic sedimentation in deltaic marshes. Nat Geosci 7:722–726
Warner JC, Schwab WC, List JH, Safak I, Liste M, Baldwin W (2017) Inner-shelf ocean dynamics and seafloor morphologic changes during Hurricane Sandy. Cont Shelf Res 138:1–18
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Chen, X. (2020). Relationship Between Global Warming and Hurricanes Wind Speed Based on Analyzing MODIS Remote Sensing Data. In: Li, X., Xu, X. (eds) Proceedings of the Sixth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-13-8229-1_3
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DOI: https://doi.org/10.1007/978-981-13-8229-1_3
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