探討以都卜勒雷達風場資料進行熱動力反演之不確定性及改善方法(1/3)

Project Details

Description

It has been long recognized that in the retrieved thermodynamic fields using multiple-Doppler-radar synthesized winds, a bias with the form of an unknown constant exists at each horizontal level, leading to the uncertainty in the retrieved vertical structure. This constant, theoretically, can be determined by an in-situ independent measurement (e.g., by a balloon sounding) of the pressure and/or temperature at only one grid point on each horizontal plane. However, the temporal resolution of the sounding data is known to be very low. Therefore, in this study, it is proposed to design a new thermodynamic retrieval scheme so that the ambiguity in the retrieved thermodynamic fields’ vertical structure can be effectively mitigated without using the sounding data. The equation of state (EoS), since it bridges the pressure and temperature, is a candidate which can be used as an additional constraint in our algorithm. However, how to properly implement EoS to our variational scheme is the major task of this project. In additional to the aforementioned issue, when more than one in-situ observation is available on a given horizontal plane, how to determine which in-situ measurement can provide the best estimation of the bias correction is another research goal of this project.
StatusFinished
Effective start/end date1/08/2231/10/23

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 13 - Climate Action

Keywords

  • weather radar
  • wind synthesis
  • thermodynamic retrieval
  • QPF

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