An Enhanced Nonlinear Grid Transformation Method for Weather Radar Echo Extrapolation

In this study, a method capable of simultaneously extrapolating the position, shape, and intensity of weather radar echoes is proposed. As the method is an improved version of the previously proposed nonlinear grid transformation (NGT) method, it is referred to as the enhanced NGT (ENGT) method. By extending the nonlinear transformation matrix to include radar reflectivity as the third dimension in addition to the grid coordinates X and Y, a 3 × 9 transformation matrix is used to describe the continuous spatial variation in the radar reflectivity field. The transformation matrix is solved using historical near-term data, enabling the extrapolation of subsequent time steps. In a set of ideal extrapolation experiments combining translation, temporal increments, and path variations, the ENGT method demonstrated better qualitative and conceptual performance than the NGT and traditional optical flow (OF) methods. In a real squall line case, the ENGT method could predict the overall movement direction of the cloud system synthesized by moving and emerging cells. In a real enhanced convective cloud cluster case, the ENGT method achieved higher scores because it generated stronger reflectivity. Although there are still mathematically unsolved and statistically insignificant problems, the ENGT method shows potential in predicting strong reflectivity, and the computational efficiency for a single weather radar is considerable.

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Publication Details

Journal
Remote Sensing
Published
2026-08-24
DOI
https://doi.org/10.3390/rs18172865
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

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An Enhanced Nonlinear Grid Transformation Method for Weather Radar Echo Extrapolation

Yue Sun, Zhaowu Liu, Shengchao Li, Tao Yang et al.
Remote Sensing
Meteorological Phenomena and Simulations
article

An Enhanced Nonlinear Grid Transformation Method for Weather Radar Echo Extrapolation

Yue Sun, Zhaowu Liu, Shengchao Li, Tao Yang, Huiling Yang
article en

Abstract

In this study, a method capable of simultaneously extrapolating the position, shape, and intensity of weather radar echoes is proposed. As the method is an improved version of the previously proposed nonlinear grid transformation (NGT) method, it is referred to as the enhanced NGT (ENGT) method. By extending the nonlinear transformation matrix to include radar reflectivity as the third dimension in addition to the grid coordinates X and Y, a 3 × 9 transformation matrix is used to describe the continuous spatial variation in the radar reflectivity field. The transformation matrix is solved using historical near-term data, enabling the extrapolation of subsequent time steps. In a set of ideal extrapolation experiments combining translation, temporal increments, and path variations, the ENGT method demonstrated better qualitative and conceptual performance than the NGT and traditional optical flow (OF) methods. In a real squall line case, the ENGT method could predict the overall movement direction of the cloud system synthesized by moving and emerging cells. In a real enhanced convective cloud cluster case, the ENGT method achieved higher scores because it generated stronger reflectivity. Although there are still mathematically unsolved and statistically insignificant problems, the ENGT method shows potential in predicting strong reflectivity, and the computational efficiency for a single weather radar is considerable.

Remote SensingVol. 18(17)
Craft Group (China) (CN), Gansu Meteorological Bureau (CN), Yangzhou Municipal Meteorological Bureau (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Guizhou Science and Technology Department, Ministry of Industry and Information Technology of the People's Republic of China, Institute of Atmospheric Physics, Chinese Academy of Sciences
Climate action
Openalex Percentile: Top 14%
Meteorological Phenomena and Simulations
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