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Limited Sea Surface Temperature Cooling Due to the Barrier Layer Promoting Super Typhoon Mangkhut (2018)

ADVANCES IN ATMOSPHERIC SCIENCES 2024年第11期41卷 2156-2172页

作者： Wang, Huipeng Li, Jiagen song, junqiang Sun, Liang Liu, Fu Zhang, Han Ren, Kaijun Wang, Huizan Wang, Chunming Zhang, Jinrong Leng, Hongze Natl Univ Def Technol Coll Meteorol & Oceanog Changsha 410073 Peoples R China Univ Sci & Technol China Sch Earth & Space Sci Hefei 230000 Peoples R China Minist Nat Resources Inst Oceanog 2 State Key Lab Satellite Ocean Environm Dynam Hangzhou 310012 Peoples R China Southern Marine Sci & Engn Guangdong Lab Zhuhai Zhuhai 519082 Peoples R China

This study investigates the impact of the salinity barrier layer (BL) on the upper ocean response to Super Typhoon Mangkhut (2018) in the western North Pacific. After the passage of Mangkhut, a noticeable increase (similar to 0.6 psu) in sea surface salinity and a weak decrease (< 1 degrees C) in sea surface temperature (SST) were observed on the right side of the typhoon track. Mangkhut-induced SST change can be divided into the three stages, corresponding to the variations in BL thickness and SST before, during, and after the passage of Mangkhut. During the pre-typhoon stage, SST slightly warmed due to the entrainment of BL warm water, which suppressed the cooling induced by surface heat fluxes and horizontal advection. During the forced stage, SST cooling was controlled by entrainment, and the preexisting BL reduced the total cooling by 0.89 degrees C d(-1), thus significantly weakening the overall SST cooling induced by Mangkhut. During the relaxation stage, the SST cooling was primarily caused by the entrainment. Our results indicate that a preexisting BL can limit typhoon-induced SST cooling by suppressing the entrainment of cold thermocline water, which contributed to Mangkhut becoming the strongest typhoon in 2018.

关键词： sea surface cooling mixed-layer depth barrier layer typhoon UPPER-OCEAN RESPONSE TROPICAL CYCLONES INTENSITY ATMOSPHERE IMPACT AMAZON EDDY

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MetaPINNs:Predicting soliton and rogue wave of nonlinear PDEs via the improved physics-informed neural networks based on meta-learned optimization

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Chinese Physics B 2024年第2期33卷 96-107页

作者：郭亚楠曹小群宋君强冷洪泽 College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China College of Computer National University of Defense TechnologyChangsha 410073China Naval Aviation University Huludao 125001China

Efficiently solving partial differential equations(PDEs)is a long-standing challenge in mathematics and physics *** recent years,the rapid development of artificial intelligence technology has brought deep learning-based methods to the forefront of research on numerical methods for partial differential *** them,physics-informed neural networks(PINNs)are a new class of deep learning methods that show great potential in solving PDEs and predicting complex physical *** the field of nonlinear science,solitary waves and rogue waves have been important research *** this paper,we propose an improved PINN that enhances the physical constraints of the neural network model by adding gradient information *** addition,we employ meta-learning optimization to speed up the training *** apply the improved PINNs to the numerical simulation and prediction of solitary and rogue *** evaluate the accuracy of the prediction results by error *** experimental results show that the improved PINNs can make more accurate predictions in less time than that of the original PINNs.

关键词： physics-informed neural networks gradient-enhanced loss function meta-learned optimization nonlinear science

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Limited Sea Surface Temperature Cooling Due to the Barrier Layer Promoting Super Typhoon Mangkhut(2018)

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Advances in Atmospheric Sciences 2024年第11期 2156-2172页

作者： Huipeng WANG Jiagen LI junqiang song Liang SUN Fu LIU Han ZHANG Kaijun REN Huizan WANG Chunming WANG Jinrong ZHANG Hongze LENG College of Meteorology and Oceanography National University of Defense Technology School of Earth and Space Sciences University of Science and Technology of China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural Resources Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

This study investigates the impact of the salinity barrier layer(BL) on the upper ocean response to Super Typhoon Mangkhut(2018) in the western North Pacific. After the passage of Mangkhut, a noticeable increase(～0.6 psu) in sea surface salinity and a weak decrease(< 1°C) in sea surface temperature(SST) were observed on the right side of the typhoon track. Mangkhut-induced SST change can be divided into the three stages, corresponding to the variations in BL thickness and SST before, during, and after the passage of Mangkhut. During the pre-typhoon stage, SST slightly warmed due to the entrainment of BL warm water, which suppressed the cooling induced by surface heat fluxes and horizontal advection. During the forced stage, SST cooling was controlled by entrainment, and the preexisting BL reduced the total cooling by 0.89°C d-1, thus significantly weakening the overall SST cooling induced by Mangkhut. During the relaxation stage, the SST cooling was primarily caused by the entrainment. Our results indicate that a preexisting BL can limit typhoon-induced SST cooling by suppressing the entrainment of cold thermocline water, which contributed to Mangkhut becoming the strongest typhoon in 2018.

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地区制度视角下风险投资对区域创新能力的影响

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科技和产业 2024年第12期24卷 63-69页

作者：宋俊强孙晓娟兰州财经大学统计与数据科学学院兰州730020

基于风险投资和区域创新理论分析,利用2011—2021年30个省份(因数据缺失,未包括西藏地区和港澳台地区)风险投资和区域创新面板数据,实证分析风险投资对区域创新能力的影响,并探讨了地区制度环境的调节效应。结果表明,风险投资能够显著... 详细信息

基于风险投资和区域创新理论分析,利用2011—2021年30个省份(因数据缺失,未包括西藏地区和港澳台地区)风险投资和区域创新面板数据,实证分析风险投资对区域创新能力的影响,并探讨了地区制度环境的调节效应。结果表明,风险投资能够显著地促进区域创新能力;地区制度环境也在一定程度上起到了调节效应,不同程度地区制度对区域创新能力的影响存在差异;进一步分析表明了风险投资对区域创新能力存在区域异质性和时间上异质性,研究发现在东部地区更为显著。

关键词：风险投资区域创新地区制度环境

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Impact of observational MJO forcing on ENSO predictability in the Zebiak-Cane model: PartⅠ.Effect on the maximum prediction error

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Acta Oceanologica Sinica 2015年第5期34卷 39-45页

作者： PENG Yuehua song junqiang XIANG Jie SUN Chengzhi Dalian Naval Academy Institute of Atmospheric Physics Chinese Academy of Sciences College of Computer National University of Defense Technology College of Meteorology and Oceanography PLA University of Science and Technology

With the observational wind data and the Zebiak-Cane model, the impact of Madden-Iulian Oscillation （MJO） as external forcing on El Nino-Southern Oscillation （ENSO） predictability is studied. The observational data are analyzed with Continuous Wavelet Transform （CWT） and then used to extract MJO signals, which are added into the model to get a new model. After the Conditional Nonlinear Optimal Perturbation （CNOP） method has been used, the initial errors which can evolve into maximum prediction error, model errors and their join errors are gained and then the Nifio 3 indices and spatial structures of three kinds of errors are investigated. The results mainly show that the observational MJO has little impact on the maximum prediction error of ENSO events and the initial error affects much greater than model error caused by MJO forcing. These demonstrate that the initial error might be the main error source that produces uncertainty in ENSO prediction, which could provide a theoretical foundation for the adaptive data assimilation of the ENSO forecast and contribute to the ENSO target observation.

关键词： E1 Nifio-Southern Oscillation (ENSO) Madden-/ulian Oscillation (M/O) maximum prediction error,Conditional Nonlinear Optimal Perturbation (CNOP)

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基于复合系统协同度模型的制造业“三化”融合发展指标体系构建

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中国商论 2024年第1期 143-146页

作者：孟阳刘家蒙宋俊强兰州财经大学统计学院甘肃兰州730101

制造业“三化”融合发展是一个全面复杂的系统,其主要涉及制造业高端化、智能化、绿色化的融合发展,同时其融合发展水平受多种因素影响,且各子系统之间有着复杂联系。针对制造业“三化”融合发展指标体系的构建,不仅要遵从科学性、系统... 详细信息

制造业“三化”融合发展是一个全面复杂的系统,其主要涉及制造业高端化、智能化、绿色化的融合发展,同时其融合发展水平受多种因素影响,且各子系统之间有着复杂联系。针对制造业“三化”融合发展指标体系的构建,不仅要遵从科学性、系统性等原则,还需采用有效的评价方法来阐述制造业“三化”融合发展指标体系。基于此,文章以复合系统协同度模型为基础,综合构建了制造业“三化”融合发展指标体系。

关键词：制造业 “三化”融合发展复合系统协同度模型指标体系构建企业转型

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准噶尔盆地红车断裂带石炭系重新认识及油气成藏特征

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石油与天然气地质 2024年第1期45卷 215-230页

作者：潘虹于庆森李晓山宋俊强蒋志斌王丽罗官幸徐文秀尤浩宇中国石油新疆油田分公司勘探开发研究院新疆克拉玛依834000

准噶尔盆地红车断裂带石炭系岩性、内幕结构及接触关系复杂,为建立其地层层序,以野外露头建立的石炭系地层系统为基础,通过岩性、电性和地震属性精细地层标定,依据岩性组合特征、地震波组特征和地层接触关系进行综合分析,将西北缘后山... 详细信息

准噶尔盆地红车断裂带石炭系岩性、内幕结构及接触关系复杂,为建立其地层层序,以野外露头建立的石炭系地层系统为基础,通过岩性、电性和地震属性精细地层标定,依据岩性组合特征、地震波组特征和地层接触关系进行综合分析,将西北缘后山石炭系地层系统引入盆内进行井下地层对比,建立石炭系层序剖面并开展精细地层划分与对比,在石炭系地层格架基础上开展优势岩相分析。结果表明:(1)准噶尔盆地盆内井下钻揭地层为上石炭统,由新到老依次为阿腊德依克赛组、哈拉阿拉特组和成吉思汗山组,整体向西超覆抬升,呈现“东西分带、南北分块”构造格局。(2)成吉思汗山组主要发育爆发相火山角砾岩,受推覆作用影响,阿腊德依克赛组和哈拉阿拉特组超覆尖灭,南部爆发相剥蚀减少,主体发育火山沉积相和碎屑岩沉积相。(3)主要含油层为成吉思汗山组和哈拉阿拉特组,南部火山角砾岩及局部安山玄武岩为油气有利指向区。

关键词：断阶带爆发相火山沉积相火山角砾岩石炭系红车断裂带准噶尔盆地

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Validation of the multi-satellite merged sea surface salinity in the South China Sea

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Journal of Oceanology and Limnology 2023年第6期41卷 2033-2044页

作者： Huipeng WANG junqiang song Chengwu ZHAO Xiangrong YANG Hongze LENG Nan ZHOU College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Troop 61741 PLABeijing 100094China

Sea surface salinity(SSS)is an essential variable of ocean dynamics and climate *** Soil Moisture and Ocean Salinity(SMOS),Aquarius,and Soil Moisture Active Passive(SMAP)satellite missions all provide SSS *** European Space Agency(ESA)Climate Change Initiative Sea Surface Salinity(CCI-SSS)project merged these three satellite SSS data to produce CCI L4SSS *** validated the accuracy of the four satellite products(CCI,SMOS,Aquarius,and SMAP)using in-situ gridded data and Argo floats in the South China Sea(SCS).Compared with in-situ gridded data,it shows that the CCI achieved the best performance(RMSD:0.365)on monthly time *** RMSD of SMOS,Aquarius,and SMAP(SMOS:0.389;Aquarius:0.409;SMAP:0.391)are close,and the SMOS takes a slight advantage in contrast with Aquarius and *** discrepancies can be found near the coastline and in the shelf ***,CCI with lower RMSD(0.295)perform better than single satellite data(SMOS:0.517;SMAP:0.297)on weekly time scales compared with Argo ***,the merged CCI have the smallest RMSD among the four satellite products in the SCS on both weekly time scales and monthly time scales,which illustrates the improved accuracy of merged CCI compared with the individual satellite data.

关键词： sea surface salinity(SSS) South China Sea(SCS) Argo multi-satellite merged data validation

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How Well Do CMIP6 and CMIP5 Models Simulate the Climatological Seasonal Variations in Ocean Salinity?

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Advances in Atmospheric Sciences 2022年第10期39卷 1650-1672,I0005-I0015页

作者： Yuanxin LIU Lijing CHENG Yuying PAN Zhetao TAN John ABRAHAM Bin ZHANG Jiang ZHU junqiang song College of Meteorology and Oceanography College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China School of Engineering University of St.Thomas2115 Summit Ave.St PaulMN 55105USA Marine Science Data Center Institute of OceanologyChinese Academy of SciencesQingdao 266071China

This paper includes a comprehensive assessment of 40 models from the Coupled Model Intercomparison Project phase 5(CMIP5)and 33 models from the CMIP phase 6(CMIP6)to determine the climatological and seasonal variation of ocean salinity from the surface to 2000 *** general pattern of the ocean salinity climatology can be simulated by both the CMIP5 and CMIP6 models from the surface to 2000-m ***,this study shows an increased fresh bias in the surface and subsurface salinity in the CMIP6 multimodel mean,with a global average of−0.44 g kg^(−1) for the sea surface salinity(SSS)and−0.26 g kg^(−1) for the 0-1000-m averaged salinity(S1000)compared with the CMIP5 multimodel mean(−0.25 g kg^(−1) for the SSS and−0.07 g kg^(−1) for the S1000).In terms of the seasonal variation,both CMIP6 and CMIP5 models show positive(negative)anomalies in the first(second)half of the year in the global average SSS and *** model-simulated variation in SSS is consistent with the observations,but not for S1000,suggesting a substantial uncertainty in simulating and understanding the seasonal variation in subsurface *** CMIP5 and CMIP6 models overestimate the magnitude of the seasonal variation of the SSS in the tropics in the region 20°S-20°N but underestimate the magnitude of the seasonal change in S1000 in the Atlantic and Indian *** assessments show new features of the model errors in simulating ocean salinity and support further studies of the global hydrological cycle.

关键词： salinity climatology seasonal cycle CMIP5 CMIP6 upper ocean

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A novel mechanism of PHB2-mediated mitophagy participating in the development of Parkinson's disease

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Neural Regeneration Research 2024年第8期19卷 1828-1834页

作者： Yongjiang Zhang Shiyi Yin Run song Xiaoyi Lai Mengmeng Shen Jiannan Wu junqiang Yan Key Laboratory of Neuromolecular Biology The First Affiliated HospitalCollege of Clinical Medicine of Henan University of Science and TechnologyLuoyangHenan ProvinceChina Department of Neurology The First Affiliated HospitalCollege of Clinical Medicine of Henan University of Science and TechnologyLuoyangHenan ProvinceChina

Endoplasmic reticulum stress and mitochondrial dysfunction play important roles in Parkinson s disease,but the regulato ry mechanism remains ***-2(PHB2)is a newly discove red autophagy receptor in the mitochondrial inner membrane,and its role in Parkinson’s disease remains *** kinase R(PKR)-like endoplasmic reticulum kinase(PERK)is a factor that regulates cell fate during endoplasmic reticulum *** is regulated by PERK and is a target of the unfolded protein *** is unclear whether PERK regulates PHB2-mediated mitophagy thro ugh *** this study,we established a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced mouse model of Parkinson’s *** used adeno-associated virus to knockdown PHB2 *** res ults showed that loss of dopaminergic neurons and motor deficits were aggravated in the MPTP-induced mouse model of Parkinson’s *** rexpression of PHB2 inhibited these *** also established a 1-methyl-4-phenylpyridine(MPP+)-induced SH-SY5Y cell model of Parkinson’s *** found that ove rexpression of Parkin increased co-localization of PHB2 and microtubule-associated protein 1 light chain 3,and promoted *** addition,MPP+regulated Parkin involvement in PHB2-mediated mitophagy through phosphorylation of *** findings suggest that PHB2 participates in the development of Parkinson’s disease by intera cting with endoplasmic reticulum stress and Parkin.

关键词： endoplasmic reticulum dopaminergic neuron microtubule-associated protein 1 light chain 3 mitophagy oxidative stress Parkin Parkinson’s disease PKR-like endoplasmic reticulum kinase reactive oxygen species prohibitin-2

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