Evaluation of Typhoon Rainfall Estimation Techniques and Their Applications in the Improved Tropical Rainfall Potential. (I)

Project Details

Description

The traditional Tropical Rainfall Potential (TRaP) is rather intuitive and easy for operating. With satellite-retrieved rainfall and a time-lagging superimposing process, the typhoon rainfall potentials can be obtained straightforwardly. However, unsuited errors could be induced also due to its oversimplified assumptions and that thus weakens its robustness, especially for mountainous region where the terrain effect always is strong. Definitely finer assumptions are necessary for the improvements of a further TRaP model. Liu et al. (2012,2015) consequently put the terrain effect, systematic errors in rainfall retrievals, and typhoon rainfall band rotations into account to improve the TRaP base. Their work revealed that not only the improved model have a better reality approximation to in theoretical base, but also in real application results. Following the more satellites and sensors were launched in the few recent years, meaning that there are more opportunities to verify and improve the TRaP-like models. That is here the goal for this two-year project. The project is designed to verify and improved the rainfall estimation algorithms mainly with satellite microwave imagery, and the data fusion perspective will be emphasize, to develop a higher time-resolution satellite rainfall ensemble forecast system with multi-satellite observation for the improved TRaP, and for Taiwan area.The first year of the project will gather multiple and newer satellite data, and pay attention to investigate and compare several main rainfall retrieved algorithms, involving the different rainfall conditions versus their appropriated or optimal algorithms. For instance, such as emitting/scattering rainfall processes, statistical/physical rainfall retrieval algorithms, typhoon category types, typhoon inner/outer core rainfall types. Then the result will be integrated into the improved TRaP; the second year will keep gathering data. The ensemble weightings for multiple satellite data and in different time resolutions will be optimized if possible. Meanwhile, the possible change in rainfall intensity and typhoon paths over time will be examined to understand their sensitivities and estimate their potential errors. Meanwhile, the redistribution factor for the terrain-induced rainfall amount will be another very important research topic in this task.
StatusFinished
Effective start/end date1/08/1831/07/19

Keywords

  • Satellite remote sensing
  • Typhoon
  • Rainfall verification
  • Tropical rainfall potential (TRaP).

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