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Article

1 Citations

1,358 Views

29 Pages

Impacts of Bogus Vortex Initialization Using Scatterometer-Derived 34 kt Wind Radii and Centers on Tropical Cyclone Forecasts

Weixin Pan,
Xiaolei Zou and
Yihong Duan

Remote Sens.2026, 18(2), 263;https://doi.org/10.3390/rs18020263

14 January 2026

This study demonstrates the positive impact of scatterometer wind-based bogus vortex initialization on forecasts of Typhoon Doksuri (2023). In this scheme, the NCEP analysis vortex in the initial conditions is replaced with a bogus vortex. A regressi...

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Article

34 Citations

7,537 Views

25 Pages

Vortex Initialization in the NCEP Operational Hurricane Models

Qingfu Liu,
Xuejin Zhang,
Mingjing Tong,
Zhan Zhang and ,
Bin Liu,
Weiguo Wang,
Lin Zhu,
Banglin Zhang,
Xiaolin Xu and
Vijay Tallapragada
+ 8 authors+ 3 authors

Atmosphere2020, 11(9), 968;https://doi.org/10.3390/atmos11090968

10 September 2020

This paper describes the vortex initialization (VI) currently used in NCEP operational hurricane models (HWRF and HMON, and possibly HAFS in the future). The VI corrects the background fields for hurricane models: it consists of vortex relocation, an...

(This article belongs to the Special Issue Modeling and Data Assimilation for Tropical Cyclone Forecasts)

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Article

2 Citations

2,430 Views

23 Pages

A Hurricane Initialization Scheme with 4DEnVAR Satellite Ozone and Bogus Data Assimilation (SOBDA) and Its Application: Case Study

Yin Liu

Atmosphere2023, 14(5), 866;https://doi.org/10.3390/atmos14050866

12 May 2023

The aim of this study is to joint assimilate the ozone product from the satellite Atmospheric Infrared Sounder (AIRS) and bogus data using the four-dimensional ensemble-variational (4DEnVar) method, and demonstrate the potential benefits of this init...

(This article belongs to the Special Issue Data Assimilation for Predicting Hurricane, Typhoon and Storm)

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Article

8 Citations

2,784 Views

42 Pages

Challenges and Opportunities with New Generation Geostationary Meteorological Satellite Datasets for Analyses and Initial Conditions for Forecasting Hurricane Irma (2017) Rapid Intensification Event

Russell L. Elsberry,
Joel W. Feldmeier,
Hway-Jen Chen,
Melinda Peng and ,
Christopher S. Velden and
Qing Wang
+ 1 author+ 0 author

Atmosphere2020, 11(11), 1200;https://doi.org/10.3390/atmos11111200

6 November 2020

This study utilizes an extremely high spatial resolution GOES-16 atmospheric motion vector (AMV) dataset processed at 15 min intervals in a modified version of our original dynamic initialization technique to analyze and forecast a rapid intensificat...

(This article belongs to the Special Issue Modeling and Data Assimilation for Tropical Cyclone Forecasts)

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Article

16 Citations

4,721 Views

24 Pages

Determining Tropical Cyclone Center and Rainband Size in Geostationary Satellite Imagery

Yanyang Hu and
Xiaolei Zou

Remote Sens.2022, 14(14), 3499;https://doi.org/10.3390/rs14143499

21 July 2022

Brightness temperature (TB) observations at an infrared channel (10.3 $μ m$ ) of the Advanced Baseline Imager (ABI) on board the U. S. 16th Geostationary Operational Environmental Satellite (GOES-16) are used for determining tropical cyclone (TC) cent...

(This article belongs to the Topic A Themed Issue in Memory of Academician Duzheng Ye (1916–2013))

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