Jian Liu

Peking University People's Hospital

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Mi Yan

Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

Bin Wang

University of Hawaiʻi at Mānoa

Weiyi Sun

Nanjing Normal University

Liang Ning

Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

Zhengyu Liu

The Ohio State University

Kefan Chen

Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

Deliang Chen

University of Gothenburg

Chunhan Jin

Xinjiang University

Sumin Wang

Army Medical University

Fei Liu

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

Cooperative Institutions

Chinese Academy of Sciences

183

Qingdao National Laboratory for Marine Science and Technology

Ministry of Natural Resources

University of Chinese Academy of Sciences

Nanjing Normal University

Qingdao Institute of Marine Geology

China Geological Survey

Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

Nanjing University of Information Science and Technology

Ocean University of China

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the role of sea ice in N2O cycle in Southern Ocean

Zenodo (CERN European Organization for Nuclear Research) (2023)

Man Wu Liyang Zhan Jian Liu Jiexia Zhang Wangwang Ye

1. N₂O concentration in surface water at a station in Prydz Bay, Antarctica, from November 31 to December 10, 2016. 2. N2O concentration in ice corn

10.5281/zenodo.8324672

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Temperature and Relative Humidity Profile Retrieval from Fengyun-3D/HIRAS in the Arctic Region

Remote Sensing (2021)

Jingjing Hu Yansong Bao Jian Liu Hui Liu George P. Petropoulos

The acquisition of real-time temperature and relative humidity (RH) profiles in the Arctic is of great significance for the study of the Arctic’s climate and Arctic scientific research. However, the operational algorithm of Fengyun-3D only takes into account areas within 60°N, the innovation of this work is that a new technique based on Neural Network (NN) algorithm was proposed, which can retrieve these parameters in real time from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) observations in the Arctic region. Considering the difficulty of obtaining a large amount of actual observation (such as radiosonde) in the Arctic region, collocated ERA5 data from European Centre for Medium-Range Weather Forecasts (ECMWF) and HIRAS observations were used to train the neural networks (NNs). Brightness temperature and training targets were classified using two variables: season (warm season and cold season) and surface type (ocean and land). NNs-based retrievals were compared with ERA5 data and radiosonde observations (RAOBs) independent of the NN training sets. Results showed that (1) the NNs retrievals accuracy is generally higher on warm season and ocean; (2) the root-mean-square error (RMSE) of retrieved profiles is generally slightly higher in the RAOB comparisons than in the ERA5 comparisons, but the variation trend of errors with height is consistent; (3) the retrieved profiles by the NN method are closer to ERA5, comparing with the AIRS products. All the results demonstrated the potential value in time and space of NN algorithm in retrieving temperature and relative humidity profiles of the Arctic region from HIRAS observations under clear-sky conditions. As such, the proposed NN algorithm provides a valuable pathway for retrieving reliably temperature and RH profiles from HIRAS observations in the Arctic region, providing information of practical value in a wide spectrum of practical applications and research investigations alike.All in all, our work has important implications in broadening Fengyun-3D’s operational implementation range from within 60°N to the Arctic region.

10.3390/rs13101884

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Southward Migration of Arctic Ocean Species During the Last Glacial Period

Geophysical Research Letters (2022)

Penghui Zhang Huai-Hsuan May Huang Yuanyuan Hong Skye Yunshu Tian Jian Liu

Abstract The East Asian winter monsoon (EAWM) is associated with northerly surface winds affecting crop and livestock productivity and social and economic activities across East Asia. However, the relationship between EAWM dynamics and marine biota remains poorly understood. In this study, we analyzed fossil ostracods from sediment cores collected in the northwestern Pacific Ocean to detect the appearance/disappearance of circumpolar species during the late Quaternary. We compared our ostracod records, including dating results, with ice‐rafted debris records from the Sea of Japan, and identified two southward migration events of Arctic ostracods at 120–100 ka (Marine Isotope Stage [MIS] 5d stadial) and 30–15 ka (MIS 3 and 2, peak Last Glacial), which corresponded to a strengthened EAWM system. Our results indicate that an intensified EAWM influenced the Yellow Sea Bottom Cold Water formation, lowered the winter water temperatures, and allowed Arctic ostracods to migrate southward into the Yellow Sea.

Marine isotope stage

Stadial

Biota

Siberian High

10.1029/2022gl100818

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Citations (7)

Influence and mechanism of solar radiation intensity on the interdecadal variability of strong Meiyu events during historical periods

Science China Earth Sciences (2022)

Liulin Wang Liang Ning Kefan Chen Mi Yan Jian Liu

Subtropical ridge

Middle latitudes

10.1007/s11430-021-9952-0

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Citations (2)

Could the Recent Taal Volcano Eruption Trigger an El Niño and Lead to Eurasian Warming?

Advances in Atmospheric Sciences (2020)

Fei Liu Chen Xing Jinbao Li Bin Wang Jing Chai

Lead (geology)

10.1007/s00376-020-2041-z

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Citations (21)

Environmental magnetic properties used to assess sediment sources and transport patterns in the muddy area along the Zhejiang coast, China

Estuarine Coastal and Shelf Science (2020)

Shuang Wang Jian Liu Jianchao Li Lei Xu Gang Xu

Environmental Magnetism

10.1016/j.ecss.2020.106933

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Citations (5)

Raman and infrared spectra, conformational stability, normal coordinate analysis and ab initio calculations of 3‐chloro‐1‐butene

Journal of Raman Spectroscopy (2000)

Min Joo Lee Feng Fusheng Seung Won Hur Jian Liu Todor K. Gounev

The Raman and infrared spectra (3300–30 cm−1) of gaseous and solid 3-chloro-1-butene, H2C=CHCCl (CH3)H, were recorded. Additionally, the Raman spectrum (3300–30 cm−1) of the liquid was recorded. All three conformers were observed in the fluid phases and the conformer with the hydrogen atom eclipsing the double bond (HE form) was identified as the most predominant. From variable-temperature measurements in liquified xenon, the enthalpy differences between the HE form and the two less stable conformers, i.e. the methyl group eclipsing the double bond (ME form) and the chlorine atom eclipsing the double bond (ClE form), were determined to be 75 ± 8 cm−1 (214 ± 23 cal mol−1) and 197 ± 37 cm−1 (563 ± 106 cal mol−1), respectively. Nearly complete vibrational assignments are proposed for all three conformers, which are consistent with the predicted wavenumbers utilizing the force constants from ab initio MP2/6–31G(d) calculations. Both the infrared intensities and the Raman activities and depolarization values were obtained from the ab initio calculations. Complete equilibrium geometries were determined by ab initio calculations employing the 6–31G(d) and 6–311++G(d,p) basis sets with full electron correlation by the Möller–Plesset (MP2) perturbation method to second order. The structural parameters obtained with the larger basis set are comparable to those obtained from a previously reported electron diffraction study. The results are discussed and the theoretical values are compared with the experimental values when appropriate. Copyright © 2000 John Wiley & Sons, Ltd.

Conformational isomerism

Electronic correlation

Hydrogen atom

10.1002/(sici)1097-4555(200003)31:3<157::aid-jrs513>3.3.co;2-u

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Sources and distribution of tetraether lipids in sediments from the Zhejiang–Fujian coastal mud area, China, over the past 160 years: Implications for paleoclimate change

Organic Geochemistry (2018)

Lilei Chen Jian Liu Jiasheng Wang Gang Xu Feng Li

Paleoclimatology

Terrigenous sediment

10.1016/j.orggeochem.2018.03.010