Yihong Duan

Biographic Data

ID7991940
NAMEYihong Duan
GIVEN NAMESYihong
FAMILY NAMEDuan
SIGNATUREDUAN Y
AFFILIATIONSChinese Academy of Meteorological Sciences
ORCID0000-0002-1739-2907
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS0
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0

  • An Interdisciplinary Method of Applying AI ‐Empowered Chatbots in Chinese Quatrains' Learning for Chinese Young Pupils

    Open AccessJie Yang, Juan Yang et al.ARTICLEJournal of Computer Assisted…2026

  • What controls the quasi-decadal variability of tropical cyclone genesis in the western North Pacific in recent decades

    Open AccessYifei Dai, Chunhan Jin et al.ARTICLEEnvironmental Research Letters2026

    Quasi-decadal variability (QDV) in tropical cyclone (TC) genesis (TCG) over the western North Pacific is a critical yet insufficiently explored aspect of TC climate variability. This study identified distinct QDV in TCG during June–October, characterized by two leading empirical orthogonal function (EOF) modes. The first mode (EOF1) exhibits a north-south dipole pattern and is indirectly modulated by solar variability through circulation anomalie…

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

    Open AccessQian Wang, Dajun Zhao et al.ARTICLEEnvironmental Research Letters2025

    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…

  • Exploring the integration of a global AI model with traditional data assimilation in weather forecasting

    Open AccessHongxiong Xu, Yihong Duan et al.ARTICLEEnvironmental Research Letters2024

    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

    Open AccessHongxiong Xu, Yang Zhao et al.ARTICLEEnvironmental Research Letters2024

    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

    Open AccessHongxiong Xu, Yihong Duan et al.ARTICLEEnvironmental Research Letters2024

    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

    Open AccessDajun Zhao, Hongxiong Xu et al.ARTICLEEnvironmental Research Letters2023

    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…

  • Does the Antarctic Oscillation modulate tropical cyclone rapid intensification over the western North Pacific

    Open AccessJinjie Song, Philip J Klotzbach et al.ARTICLEEnvironmental Research Letters2022

    This study investigates the modulation of tropical cyclone (TCs) rapid intensification (RI) over the western North Pacific by the Antarctic Oscillation. There is a significant inverse relationship between basinwide RI number during July–November from 1982 to 2020 and the simultaneous Antarctic Oscillation index. During positive Antarctic Oscillation years, RI occurrence is significantly suppressed over the main RI region (10°–20° N and 125°–150° …

  • How has the North Pacific Gyre Oscillation affected peak season tropical cyclone genesis over the western North Pacific from 1965 to 2020

    Open AccessYifei Dai, Bin Wang et al.ARTICLEEnvironmental Research Letters2022

    The North Pacific Gyre Oscillation (NPGO) is an important mode of decadal variability in North Pacific sea surface temperature (SST) and sea surface height. This study investigated the potential influence of the NPGO on spatial characteristics of peak season (July to October) tropical cyclone genesis (TCG) number over the western North Pacific (WNP) from 1965 to 2020. We show that the NPGO was the first leading empirical orthogonal function mode …

  • Increasing lifetime maximum intensity of rapidly intensifying tropical cyclones over the western North Pacific

    Open AccessJinjie Song, Philip J Klotzbach et al.ARTICLEEnvironmental Research Letters2021

    The long-term trend in the annual mean lifetime maximum intensity (LMI) of rapidly intensifying tropical cyclones (RI-TCs) over the western North Pacific (WNP) is investigated in this study. During 1970–2019, a notable upward trend is observed in the average RI-TC LMI, which is primarily linked to a significant increase in the mean intensification rate prior to LMI. This intensification rate increase is caused by an increase in the mean magnitude…

  • Increasing trend in rapid intensification magnitude of tropical cyclones over the western North Pacific

    Open AccessJinjie Song, Yihong Duan et al.ARTICLEEnvironmental Research Letters2020

    Rapid intensification (RI) refers to a significant increase in tropical cyclone (TC) intensity over a short period of time. A TC can also undergo multiple RI events during its lifetime, and these RI events pose a significant challenge for operational forecasting. The long-term tendency in RI magnitude of TCs over the western North Pacific is investigated in this study. During 1979–2018, a significant increasing trend is found in RI magnitude, whi…