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Dajun Zhao

Biographic Data

ID7992562
NAMEDajun Zhao
GIVEN NAMESDajun
FAMILY NAMEZhao
SIGNATUREZHAO D
AFFILIATIONSChinese Academy of Meteorological Sciences
ORCID0000-0003-1240-2835
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Observed eccentric eyewall structure in Super Typhoon Doksuri (2023) and its potential impact on intensity change

    Open Access•Qian Wang, Dajun Zhao et al.•ARTICLE•Environmental Research Letters•2025

    Multi-source observations revealed an atypical double-eyewall structure in Super Typhoon Doksuri (2023), which we define herein as an ‘eccentric eyewall’. Ultimately, the structure evolved into the more familiar concentric eyewall (CE). Our findings indicate that the transition from an eccentric to a CE structure in Doksuri (2023) coincided with its preceding weakening stage and subsequent rapid intensification (RI) stage, facilitated by a favora…

  • Inhomogeneous aerosol forcing increasing tropical cyclone intensity in western North Pacific by weakening vertical wind shear

    Open Access•Xiaochao Yu, Yadong Lei et al.•ARTICLE•Environmental Research Letters•2025

    Faced with increasing tropical cyclone (TC) intensity in the western North Pacific (WNP) in recent decades, the simultaneous decrease in vertical wind shear (VWS) has been considered an important contributor. However, anthropogenic contribution to this decreased VWS remains uncertain. Here, we isolate the individual effects of greenhouse gases (GHS), aerosols, natural forcings, and internal climate variability on the decreased VWS over the WNP us…

  • Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model

    Open Access•Hongxiong Xu, Yang Zhao et al.•ARTICLE•Environmental Research Letters•2024

    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…

  • Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021

    Open Access•Dajun Zhao, Hongxiong Xu et al.•ARTICLE•Environmental Research Letters•2023

    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…

No prominent works on this page.

  • Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021

    Open Access•Dajun Zhao, Hongxiong Xu et al.•ARTICLE•Environmental Research Letters•2023

    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…

  • Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model

    Open Access•Hongxiong Xu, Yang Zhao et al.•ARTICLE•Environmental Research Letters•2024

    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…

  • Observed eccentric eyewall structure in Super Typhoon Doksuri (2023) and its potential impact on intensity change

    Open Access•Qian Wang, Dajun Zhao et al.•ARTICLE•Environmental Research Letters•2025

    Multi-source observations revealed an atypical double-eyewall structure in Super Typhoon Doksuri (2023), which we define herein as an ‘eccentric eyewall’. Ultimately, the structure evolved into the more familiar concentric eyewall (CE). Our findings indicate that the transition from an eccentric to a CE structure in Doksuri (2023) coincided with its preceding weakening stage and subsequent rapid intensification (RI) stage, facilitated by a favora…

  • Inhomogeneous aerosol forcing increasing tropical cyclone intensity in western North Pacific by weakening vertical wind shear

    Open Access•Xiaochao Yu, Yadong Lei et al.•ARTICLE•Environmental Research Letters•2025

    Faced with increasing tropical cyclone (TC) intensity in the western North Pacific (WNP) in recent decades, the simultaneous decrease in vertical wind shear (VWS) has been considered an important contributor. However, anthropogenic contribution to this decreased VWS remains uncertain. Here, we isolate the individual effects of greenhouse gases (GHS), aerosols, natural forcings, and internal climate variability on the decreased VWS over the WNP us…

Climatology (4 works) · Environmental Science (4 works) · Geology (4 works) · Tropical and Extratropical Cyclones Research (4 works) · Geography (3 works) · Meteorology (3 works) · Atmospheric sciences (2 works) · Climate variability and models (2 works) · Meteorological Phenomena and Simulations (2 works) · Oceanography (2 works)

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