## 5 Discussion and Conclusions  
We use satellite microwave scatterometers (HY-2B/C/D, MetOp-B/C, FY-3E) and AHI channel-13 (10.45 \(\upmu\)m) brightness temperature to determine typhoon center positions of Typhoons Doksuri, Khanun, and Haikui (2023). The scatterometer-based method locates the near-surface circulation center, while the AHI-based method detects upper-level cloud/rainband centers. Their consistency is high for strong storms. In Haikui's early stage, the centers diverged, reflecting a vertical tilt under vertical wind shear.  
After center determination, we derived the scatterometer-based 34-kt wind radius for all Northwest Pacific TCs in 2022-2023 and built linear regressions linking \(R_{0}\) to it. Our results confirm that a bogus vortex can be specified by using scatterometer data to define R\({}_{34 kt}\), and thus \(R_{0}\) in [PERSON]'s formula. Different storms, even at the same intensity category, show large variations, underscoring the importance of a tailored or case-dependent bogus vortex in numerical forecasting.  
Compared to traditional methods, the advantages of this approach include: (1) reduced empirical data dependency, (2) improved accuracy in TC sizes, and (3) repeatability of the methods for application in other ocean basins. Specifically, the proposed methods for developing the regression models of R\({}_{0}\) and R\({}_{34 kt}\) are globally applicable, but the regression coefficients should be regenerated for TCs over the Atlantic and other ocean basins, since TC structures differ across different ocean basins. Application of these models is expected to contribute to a reduction in TC intensity forecast error.  
In future work, we will assess the impacts of the scatterometer-based vortex initialization on numerical forecasts. We will also explore vortex initialization for tilted storms and evaluate the forecast impacts of these scatterometer-informed bogus vortices.  
Conceptualization, X.Z. and Y.D.; methodology, W.P. and X.Z.; software, W.P.; validation, W.P. and X.Z.; investigation, W.P. and X.Z.; resources, Y.D. and X.Z.; data curation, W.P. and X.Z.; writing--original draft preparation, W.P. and X.Z.; writing--review and editing, Y.D.; visualization, W.P. and X.Z.; supervision, X.Z.; project administration, Y.D. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the National Natural Science Foundation of China under Grant 42192554.  
The raw data supporting the conclusions of this article will be made available by the authors on request.  
The authors thank the journal reviewers and associate editor for their thorough and careful reviews, and for their helpful suggestions and comments.  
The authors declare no conflicts of interest.  
The following abbreviations are used in this manuscript:  
\begin{tabular}{l l} POES & Polar-Orbiting Environmental Satellite \\ TC & Tropical cyclone \\ GOES & Geostationary environmental satellite \\ ERS & European Space Agency \\ MetOp & Meteorological operational satellite \\ NASA & National Aeronautics and Space Administration \\ CFOSAT & Chinese-French Oceanography Satellite \\ HY-2 & Hai Yang-2 \\ FY-3E & Fengyun-3E \\ ECMWF & European Centre for Medium-Range Weather Forecasts \\ \end{tabular}