Hao Luo

Dr. Hao Luo

School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2022 in Advances in Atmospheric Sciences
Verified
Journal Article
Closed access
PDF file
JWJinfei Wang
Jinfei Wang
Hao LuoHao Luo
Hao Luo
QYQinghua Yang
Qinghua Yang
JLJiping Liu
Jiping Liu
LYLejiang Yu
Lejiang Yu
BHBo Han
Bo Han

11 April 2023 in Geophysical Research Letters
Verified
Journal Article
Open access
KLKaixin Liang
Kaixin Liang
JWJinfei Wang
Jinfei Wang
Hao LuoHao Luo
Hao Luo
QYQinghua Yang
Qinghua Yang
Antarctic sea ice variations are affected by moisture and heat from low‐ and mid‐latitudes, more than 90% of which are transported by atmospheric rivers (ARs). This study employs the ERA5 reanalysis and satellite observations to detect all the ARs over the Antarctic sea ice and analyze the general contributions of ARs on sea ice changes from 1979 to 2020. Though AR frequency is low in all seasons, ARs give rise to intense sea ice reduction at a rate of more than 10%/day in marginal ice zone. Thermodynamic processes of sea ice dominate the AR‐induced variations, associated with anomalous atmospheric conditions during ARs. Warm, moist and cloudy weather causes considerable melting by enhancing sensible heat flux in cold seasons but has restrictive influences in summer due to blocked solar radiation. Heavy precipitation during ARs is also nonnegligible, especially during the summer melt.

1 June 2023 in Journal of Climate
Verified
Journal Article
Closed access
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JWJinfei Wang
Jinfei Wang
Hao LuoHao Luo
Hao Luo
LYLejiang Yu
Lejiang Yu
XLXuewei Li
Xuewei Li
PHPaul R. Holland
Paul R. Holland
QYQinghua Yang
Qinghua Yang
Both the Southern Annular Mode (SAM) and El Niño–Southern Oscillation (ENSO) are critical factors contributing to Antarctic sea ice variability on interannual time scales. However, their joint effects on sea ice are complex and remain unclear for each austral season. In this study, satellite sea ice concentration (SIC) observations and atmospheric reanalysis data are utilized to assess the impacts of combined SAM and ENSO on seasonal Antarctic sea ice changes. The joint SAM–ENSO impacts on southern high latitudes are principally controlled by the strength and position of the wave activity and associated atmospheric circulation anomalies affected by their interactions. In-phase events (La Niña/positive SAM and El Niño/negative SAM) are characterized with an SIC dipole located in the Weddell/Bellingshausen Seas and Amundsen/Ross Seas, while out-of-phase events (El Niño/positive SAM and La Niña/negative SAM) experience significant SIC anomalies in the Indian Ocean and western Pacific Ocean. Sea ice budget analyses are conducted to separate the dynamic and thermodynamic contributions inducing the sea ice intensification anomalies. The results show that in-phase intensification anomalies also display a pattern similar to the SIC dipole and are mainly driven by the direct thermodynamic forcing at the ice edge and thermodynamic responses to meridional sea ice drift in the inner pack, especially in autumn and winter. Dynamic processes caused by zonal sea ice drift also play an important role during out-of-phase conditions in addition to the same mechanisms during in-phase conditions.

11 May 2022 in The Cryosphere
Verified
Journal Article
Open access
PDF file
SLSutao Liao
Sutao Liao
Hao LuoHao Luo
Hao Luo
JWJinfei Wang
Jinfei Wang
QSQian Shi
Qian Shi
JZJinlun Zhang
Jinlun Zhang
QYQinghua Yang
Qinghua Yang
Antarctic sea ice is an important component of the Earth system. However, its role in the Earth system is still unclear due to limited Antarctic sea-ice thickness (SIT) data. A reliable sea-ice reanalysis can be useful to study Antarctic SIT and its role in the Earth system. Among various Antarctic sea-ice reanalysis products, the Global Ice-Ocean Modeling and Assimilation System (GIOMAS) output is widely used in the research of Antarctic sea ice. As more Antarctic SIT observations with quality control are being released, a further evaluation of Antarctic SIT from GIOMAS is conducted in this study based on in situ and satellite observations. Generally, though only sea-ice concentration is assimilated, GIOMAS can basically reproduce the observed variability in sea-ice volume and its changes in the trend before and after 2013, indicating that GIOMAS is a good option to study the long-term variation in Antarctic sea ice. However, due to deficiencies in the model and asymmetric changes in SIT caused by assimilation, GIOMAS underestimates Antarctic SIT especially in deformed ice regions, which has an impact on not only the mean state of SIT but also the variability. Thus, besides the further development of the model, assimilating additional sea-ice observations (e.g., SIT and sea-ice drift) with advanced assimilation methods may be conducive to a more accurate estimation of Antarctic SIT.

8 February 2023 in Advances in Atmospheric Sciences
Verified
Journal Article
Closed access
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CMChao Min
Chao Min
XZXiangying Zhou
Xiangying Zhou
Hao LuoHao Luo
Hao Luo
YYYijun Yang
Yijun Yang
YWYiguo Wang
Yiguo Wang
QYQinghua Yang
Qinghua Yang

18 April 2022 in Geophysical Research Letters
Verified
Journal Article
Closed access
YXYongwu Xiu
Yongwu Xiu
Hao LuoHao Luo
Hao Luo
QYQinghua Yang
Qinghua Yang
STSteffen Tietsche
Steffen Tietsche
JDJonathan Day
Jonathan Day
DCDake Chen
Dake Chen