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update latest bibliography
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	modified:   _bibliography/2024_02_07.bib
	modified:   _bibliography/2024_08_30.bib
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Jun Gu committed Aug 30, 2024
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30 changes: 30 additions & 0 deletions _bibliography/2024_02_07.bib
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Expand Up @@ -150,3 +150,33 @@ @inproceedings{huang_establishing_2023
pages = {1--12},
file = {HuangS_ChenJ_ZhangZ, et al_Establishing a Modeling System in 3-km Horizontal Resolution for Global Atmospheric Circulation triggered by Submarine. [].pdf:/Users/jungu/Zotero_data/storage/4JIERQWC/HuangS_ChenJ_ZhangZ, et al_Establishing a Modeling System in 3-km Horizontal Resolution for Global Atmospheric Circulation triggered by Submarine. [].pdf:application/pdf},
}
@article{du_seasonal_2024,
title = {Seasonal Characteristics of Forecasting Uncertainties in Surface {PM}2.5 Concentration Associated with Forecast Lead Time over the Beijing-Tianjin-Hebei Region},
issn = {1861-9533},
url = {https://doi.org/10.1007/s00376-023-3060-3},
doi = {10.1007/s00376-023-3060-3},
abstract = {Forecasting uncertainties among meteorological fields have long been recognized as the main limitation on the accuracy and predictability of air quality forecasts. However, the particular impact of meteorological forecasting uncertainties on air quality forecasts specific to different seasons is still not well known. In this study, a series of forecasts with different forecast lead times for January, April, July, and October of 2018 are conducted over the Beijing-Tianjin-Hebei ({BTH}) region and the impacts of meteorological forecasting uncertainties on surface {PM}2.5 concentration forecasts with each lead time are investigated. With increased lead time, the forecasted {PM}2.5 concentrations significantly change and demonstrate obvious seasonal variations. In general, the forecasting uncertainties in monthly mean surface {PM}2.5 concentrations in the {BTH} region due to lead time are the largest (80\%) in spring, followed by autumn ({\textasciitilde}50\%), summer ({\textasciitilde}40\%), and winter (20\%). In winter, the forecasting uncertainties in total surface {PM}2.5 mass due to lead time are mainly due to the uncertainties in {PBL} heights and hence the {PBL} mixing of anthropogenic primary particles. In spring, the forecasting uncertainties are mainly from the impacts of lead time on lower-tropospheric northwesterly winds, thereby further enhancing the condensation production of anthropogenic secondary particles by the long-range transport of natural dust. In summer, the forecasting uncertainties result mainly from the decrease in dry and wet deposition rates, which are associated with the reduction of near-surface wind speed and precipitation rate. In autumn, the forecasting uncertainties arise mainly from the change in the transport of remote natural dust and anthropogenic particles, which is associated with changes in the large-scale circulation.},
journaltitle = {Advances in Atmospheric Sciences},
shortjournal = {{AAS}},
author = {Du, Qiuyan and Zhao, Chun and Feng, Jiawang and Yang, Zining and Xu, Jiamin and Gu, Jun and Zhang, Mingshuai and Xu, Mingyue and Lin, Shengfu},
urldate = {2024-03-24},
date = {2024-03-21},
langid = {english},
}
@article{gu_global_2024,
title = {Global convection-permitting model improves subseasonal forecast of plum rain around Japan},
volume = {19},
issn = {1748-9326},
url = {https://dx.doi.org/10.1088/1748-9326/ad71e2},
doi = {10.1088/1748-9326/ad71e2},
abstract = {In 2020 early summer, a historically severe rainy season struck East Asia, causing extensive damage to life and property. Subseasonal forecast of this event challenges the limits of rainy season predictability. Employing the integrated atmospheric model across scales and the Sunway supercomputer, we conducted ensemble one-month forecasts at global 3 km, variable 4–60 km, and global 60 km resolutions. The global convection-permitting forecast accurately captures the rainband, while other forecasts exhibited northward and weaker shifts due to the northward shifts of the atmospheric rivers over Japan, attributed to intensified Western North Pacific Subtropical High ({WNPSH}). Further, the double-{ITCZ}-like tropical rainfall pattern in Western Pacific in global convection-permitting forecast contributes to a more accurate {WNPSH} and rainband. In contrast, other forecasts show a single-{ITCZ}-like pattern in Western Pacific, leading to a northward-shifted {WNPSH} and rainband, advocating the importance of accurately representing tropical convections, as they can significantly affect mid-/high-latitude weather and climate.},
pages = {104021},
number = {10},
journaltitle = {Environmental Research Letters},
shortjournal = {{ERL}},
author = {Gu, Jun and Zhao, Chun and Xu, Mingyue and Feng, Jiawang and Li, Gudongze and Zhao, Yongxuan and Hao, Xiaoyu and Chen, Junshi and An, Hong},
urldate = {2024-08-30},
date = {2024-08},
langid = {english},
selected={true}
}
19 changes: 0 additions & 19 deletions _bibliography/2024_08_30.bib
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Expand Up @@ -167,22 +167,3 @@ @article{feng_simulating_2023
file = {2023_FengJ,ZhaoC,DuQ, et al_Simulating Atmospheric Dust With a Global Variable-Resolution Model. [Journal of Advances in Modeling Earth Systems](JAMES).pdf:C\:\\Users\\jungu\\Zotero\\storage\\KULZGA29\\2023_FengJ,ZhaoC,DuQ, et al_Simulating Atmospheric Dust With a Global Variable-Resolution Model. [Journal of Advances in Modeling Earth Systems](JAMES).pdf:application/pdf},
}

@article{gu_global_2024,
title = {Global convection-permitting model improves subseasonal forecast of plum rain around Japan},
volume = {19},
rights = {All rights reserved},
issn = {1748-9326},
url = {https://dx.doi.org/10.1088/1748-9326/ad71e2},
doi = {10.1088/1748-9326/ad71e2},
abstract = {In 2020 early summer, a historically severe rainy season struck East Asia, causing extensive damage to life and property. Subseasonal forecast of this event challenges the limits of rainy season predictability. Employing the integrated atmospheric model across scales and the Sunway supercomputer, we conducted ensemble one-month forecasts at global 3 km, variable 4–60 km, and global 60 km resolutions. The global convection-permitting forecast accurately captures the rainband, while other forecasts exhibited northward and weaker shifts due to the northward shifts of the atmospheric rivers over Japan, attributed to intensified Western North Pacific Subtropical High ({WNPSH}). Further, the double-{ITCZ}-like tropical rainfall pattern in Western Pacific in global convection-permitting forecast contributes to a more accurate {WNPSH} and rainband. In contrast, other forecasts show a single-{ITCZ}-like pattern in Western Pacific, leading to a northward-shifted {WNPSH} and rainband, advocating the importance of accurately representing tropical convections, as they can significantly affect mid-/high-latitude weather and climate.},
pages = {104021},
number = {10},
journaltitle = {Environmental Research Letters},
shortjournal = {{ERL}},
author = {Gu, Jun and Zhao, Chun and Xu, Mingyue and Feng, Jiawang and Li, Gudongze and Zhao, Yongxuan and Hao, Xiaoyu and Chen, Junshi and An, Hong},
urldate = {2024-08-30},
date = {2024-08},
langid = {english},
note = {2nd\_paper},
file = {2024_GuJ_ZhaoC_XuM_FengJ, et al_Global convection-permitting model improves subseasonal forecast of plum rain around Japan.[Environmental Research Letters](ERL).pdf:C\:\\Users\\jungu\\Zotero\\storage\\59S8FL79\\2024_GuJ_ZhaoC_XuM_FengJ, et al_Global convection-permitting model improves subseasonal forecast of plum rain around Japan.[Environmental Research Letters](ERL).pdf:application/pdf},
}

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