Hongxiong Xu
Biographic Data
| ID | 7992955 |
|---|---|
| NAME | Hongxiong Xu |
| GIVEN NAMES | Hongxiong |
| FAMILY NAME | Xu |
| SIGNATURE | XU H |
| AFFILIATIONS | China Meteorological Administration |
| ORCID | 0000-0001-5067-0086 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Impact of deep-inland typhoon track uncertainty on the 2023 record-breaking rainfall over North China
Extreme rainfall associated with typhoons remains a persistent forecasting challenge, particularly in regions influenced by complex multiscale interactions. Although typhoon-induced precipitation has been extensively studied, the influence of forecast uncertainty on inland rainfall—particularly over complex terrain—remains insufficiently understood. In this study, we applied ensemble sensitivity analysis to European Centre for Medium-Range Weathe…
Exploring the integration of a global AI model with traditional data assimilation in weather forecasting
Recent advancements in artificial intelligence (AI) have profoundly transformed weather forecasting, challenging traditional reliance on numerical weather prediction (NWP) models. Despite notable progress, AI models still depend heavily on traditional NWP systems to generate analysis fields, a dependency that increases computational demands and might limit forecast accuracy. This study explored the integration of gridpoint statistical interpolati…
Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model
In the realm of weather forecasting, the implementation of Artificial Intelligence (AI) represents a transformative approach. However, AI weather forecasting method still faces challenges in accurately predicting meso- and smaller-scale processes and failing to directly capture extreme precipitation due to regression algorithm’s nature, coarse resolution, and limitations in key variables like precipitation. Therefore, we propose a state-of-the-ar…
Evaluating AI’s capability to reflect physical mechanisms
Tropical cyclones not only induce extreme precipitation events but also exert indirect influences on precipitation, a factor often underestimated in forecasting. Traditionally, these influences are identified using numerical sensitivity experiments with numerical models like the Weather Research and Forecasting (WRF) model, which require substantial computational resources. This study investigates the potential of the Artificial intelligence (AI)…
Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021
The ‘21·7’ Henan extreme rainfall event (HNER) caused severe damage and many fatalities. The daily precipitation during this event (from 1200 UTC on 19 July 2021–1200 UTC on 20 July 2021) was 552.5 mm and the maximum hourly precipitation was 201.9 mm (at 0900 UTC on 20 July 2021). Previous studies have suggested that an evaluation of the role of anthropogenic climate change in extreme rainfall events is crucial in disaster prevention and mitigati…
Tropical cyclone over the western Pacific triggers the record-breaking ‘21/7’ extreme rainfall in Henan, central-eastern China
During 19–21 July 2021, Henan located in central-eastern China experienced torrential rainfall that caused devastating floods and claimed more than 300 casualties. It remains unclear whether and to what extent this extreme precipitation event is contributed by Typhoon In-Fa (TIF). Here we quantify the contribution of TIF to this record-breaking ‘21/7’ rainfall using an air–sea coupled model with ensemble simulations. The modeling results show tha…
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Tropical cyclone over the western Pacific triggers the record-breaking ‘21/7’ extreme rainfall in Henan, central-eastern China
During 19–21 July 2021, Henan located in central-eastern China experienced torrential rainfall that caused devastating floods and claimed more than 300 casualties. It remains unclear whether and to what extent this extreme precipitation event is contributed by Typhoon In-Fa (TIF). Here we quantify the contribution of TIF to this record-breaking ‘21/7’ rainfall using an air–sea coupled model with ensemble simulations. The modeling results show tha…
Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021
The ‘21·7’ Henan extreme rainfall event (HNER) caused severe damage and many fatalities. The daily precipitation during this event (from 1200 UTC on 19 July 2021–1200 UTC on 20 July 2021) was 552.5 mm and the maximum hourly precipitation was 201.9 mm (at 0900 UTC on 20 July 2021). Previous studies have suggested that an evaluation of the role of anthropogenic climate change in extreme rainfall events is crucial in disaster prevention and mitigati…
Exploring the integration of a global AI model with traditional data assimilation in weather forecasting
Recent advancements in artificial intelligence (AI) have profoundly transformed weather forecasting, challenging traditional reliance on numerical weather prediction (NWP) models. Despite notable progress, AI models still depend heavily on traditional NWP systems to generate analysis fields, a dependency that increases computational demands and might limit forecast accuracy. This study explored the integration of gridpoint statistical interpolati…
Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model
In the realm of weather forecasting, the implementation of Artificial Intelligence (AI) represents a transformative approach. However, AI weather forecasting method still faces challenges in accurately predicting meso- and smaller-scale processes and failing to directly capture extreme precipitation due to regression algorithm’s nature, coarse resolution, and limitations in key variables like precipitation. Therefore, we propose a state-of-the-ar…
Evaluating AI’s capability to reflect physical mechanisms
Tropical cyclones not only induce extreme precipitation events but also exert indirect influences on precipitation, a factor often underestimated in forecasting. Traditionally, these influences are identified using numerical sensitivity experiments with numerical models like the Weather Research and Forecasting (WRF) model, which require substantial computational resources. This study investigates the potential of the Artificial intelligence (AI)…
Impact of deep-inland typhoon track uncertainty on the 2023 record-breaking rainfall over North China
Extreme rainfall associated with typhoons remains a persistent forecasting challenge, particularly in regions influenced by complex multiscale interactions. Although typhoon-induced precipitation has been extensively studied, the influence of forecast uncertainty on inland rainfall—particularly over complex terrain—remains insufficiently understood. In this study, we applied ensemble sensitivity analysis to European Centre for Medium-Range Weathe…
Meteorological Phenomena and Simulations (6 works) · Climatology (5 works) · Geography (5 works) · Geology (5 works) · Meteorology (5 works) · Tropical and Extratropical Cyclones Research (5 works) · Climate variability and models (4 works) · Environmental Science (4 works) · Precipitation (4 works) · Atmospheric sciences (3 works)