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Advanced Taiwan Ocean Prediction System

Tseng, Tsu-Lun - ALL News | 2019-08-27 | Count:49

Formulas for studying dual-typhoon interactions & super-typhoon formation, and vulnerability assessment frameworks with earth observations & GIS

Yuei-An Liou

Center for Space and Remote Sensing Research, National Central University

300, Jhongda Rd., Jhongli District, Taoyuan 32001, Taiwan. yueian@csrsr.ncu.edu.tw

Abstract:

This speech begins with an overview of the main research tasks conducted at the Hydrology Remote Sensing Laboratory in recent years to resolve the challenges that the human beings are facing. The tasks include applications of space-borne and air-borne remote sensing data, and in-situ and census data to key environmental issues relevant to hydrological cycle, such as shortage of water (drought), abundant of water (typhoon, flooding), surface water availability (NDLI index development, Liou et al. 2019a), urban heat island effect (heat stress risk, greenspace), eco-environmental vulnerability assessment (EVA) (human and nature disturbances), etc.

Subsequently, the speech presents the use of remote sensing data for the analysis and interpretation of dual-typhoon interactions and super-typhoon formation with emphasis on the development of the Liou-Liu empirical formulas (Liou et al. 2016). The formulas successfully quantify the threshold distance for dual-vortex interactions based on a variety cases (Liou et al. 2018, 2019b). Finally, the speech is concluded with implementing our developed EVA frameworks to generate vulnerability and adaptive capacity maps in response to typhoons (Nguyen et al. 2019).

 

References:

Liou, Y.-A.*, J.-C. Liu, et al. 2019b: Consecutive dual-vortex interactions among quadruple typhoons Noru, Kulap, Nesat and Haitang during the 2017 typhoon season. Remote Sensing. 2019, 11(16), 1843; https://doi.org/10.3390/rs11161843.

Liou, Y.-A.*, J.-C. Liu, et al., 2018. Season-dependent distributions and profiles of seven super-typhoons (2014) in the Northwestern Pacific Ocean from satellite cloud images, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 56(5), 2949-2957, doi:10.1109/TGRS.2017.2787606.

Lee, Y.-S., Y.-A. Liou*, et al., 2017. Formation of Winter Super Typhoon Haiyan (2013) and Hagupit (2014) through interaction with cold fronts as observed by multifunctional transport satellite. IEEE TGRS, 55(7), 3800-3809, doi:10.1109/TGRS.2017.2680418.

Liou, Y.-A.*, J.-C. Liu, et al., 2016: Generalized empirical formulas of threshold distance to characterize cyclone–cyclone interactions, IEEE TGRS, 54(6), 3502-3512, doi: 10.1109/TGRS.2016.2519538.

Liu, J.-C., Y.-A. Liou*, et al., 2015:  Analysis of interactions among two tropical depressions and typhoons Tembin and Bolaven (2012) in Pacific Ocean by using satellite cloud images. IEEE TGRS, 53(3), 1394-1402, doi: 10.1109/TGRS.2014.2339220.

Nguyen, K.A., Y.-A. Liou*, et al. 2019: Vulnerability and adaptive capacity maps of Vietnam in response to typhoons. Science of the Total Environ. (2019) doi.org/10.1016/j.scitotenv.2019.04.069.

Nguyen, K.A., Y.-A. Liou*, 2019b: Mapping global eco-environment vulnerability due to human and nature disturbances. MethodsX (2019), https://doi.org/10.1016/j.mex.2019.03.023.

Nguyen, K.A, Y.-A. Liou*, 2019a. Global mapping of eco-environmental vulnerability from human and nature disturbances. Science of the Total Environ. 664, 995–1004. doi: 10.1016/j.scitotenv.2019.01.407.

Liou, Y.-A.*, M.S. Le, and H. Chien, 2019a: Normalized Difference Latent Heat Index for Remote Sensing of Land Surface Energy Fluxes, IEEE TGRS, 57(3), 1423 - 1433, doi: 10.1109/TGRS.2018.2866555.

Nguyen, T.H., Y.-A. Liou*, et al., 2018. Assessing the Effects of Land-Use Types in Surface Urban Heat Islands for Developing Comfortable Living in Hanoi City., Remote Sensing, 10(12), 1965, doi: 10.3390/rs10121965.

Liou, Y.-A*., K.A. Nguyen, M.-H. Li, 2017. Assessing spatiotemporal eco-environmental vulnerability by Landsat data. Ecological Indicators, 80, 52-65. doi:10.1016/j.ecolind.2017.04.055

Nguyen, K.A, Y.-A. Liou*, et al., 2016: Zoning eco-environmental vulnerability for environmental management and protection. Ecological Indicators, 69, 100–117, doi:10.1016/j.ecolind.2016.03.026.

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