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Changes of tropical cyclone size in three oceanic basins of the northern hemisphere from 2001.to 2021

Frontiers of Earth Science 2024年第2期18卷 312-323页

作者： Banglin ZHANG Jeremy Cheuk-Hin LEUNG Shengyuan LIU Jianjun XU guangzhou {1. of tropical and marine meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction CMAGuangzhou 510640China College of Atmospheric Science Lanzhou UniversityLanzhou 730020China College of Ocean and meteorology Guangdong Ocean UniversityZhanjiang 524088China CMA-GDOU Joint Laboratory for marine {1.&South China Sea institute of marine {1. Guangdong Ocean UniversityZhanjiang 524088China

In this study the changes of tropical cyclone(TC)size from 2001.to 2021.are analyzed based on linear and quadratic curve fittings of the National Hurricane Center(NHC)/Joint Typhoon Warning Center(JTWC)best track data,based on the radius of maximum wind(RMW)and the average radius of 34-kt wind(AR34),in three oceanic basins of the North Atlantic(NATL),the Western North Pacific(WPAC)and the Eastern North Pacific(EPAC).The computations are done separately for two categories of tropical cyclones:tropical storms(TS)and hurricanes(HT).Size changes of landfalling and non-landfalling TCs are also *** show that there is a great inter-basin variability among the changes in TC *** conclusions include:1.overall,the inner cores of TSs have become larger in all three basins,with the increasing tendencies being significant in the NATL and WAPC,while those of HTs mostly get smaller or remain similar;2)meanwhile,comparatively large inter-basin differences are observed for the TC outer core sizes,and the sizes of landfalling TCs;3)particularly,a significant decrease in landfalling HT outer core size is observed over the EPAC;4)in contrast,significant increases in landfalling TS inner core size are found over the NATL and *** presented analysis results could benefit future research about TC forecasts,storm surge studies,and the cyclone climate and its changes.

关键词： tropical cyclone storm size frequency intensity duration

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Combinatorial Optimization of Physics Parameterization Schemes for Typhoon Simulation Based on a Simple Genetic Algorithm(SGA)

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Journal of Meteorological Research 2024年第1期38卷 10-26页

作者： Zebin LU Jianjun XU Zhiqiang CHEN Jinyi YANG Jeremy Cheuk-Hin LEUNG Daosheng XU Banglin ZHANG China Meteorological Administration–Guangdong Ocean University Joint Laboratory for marine {1. South China Sea Institute of Marine MeteorologyGuangdong Ocean UniversityZhanjiang 524088 College of Ocean and meteorology Guangdong Ocean UniversityZhanjiang 524088 guangzhou {1. of tropical and marine meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction China Meteorological AdministrationGuangzhou 510640 Shenzhen institute of Guangdong Ocean University Shenzhen 518120 College of Atmospheric Science Lanzhou UniversityLanzhou 730000

Each physical process in a numerical weather prediction(NWP)system may have many different parameterization *** studies have shown that the performance of different physical parameterization schemes varies with the weather situation to be ***,it is necessary to select a suitable combination of physical parameterization schemes according to the variation of weather ***,it is rather difficult to identify an optimal combination among millions of possible parameterization scheme *** study applied a simple genetic algorithm(SGA)to optimizing the combination of parameterization schemes in NWP models for typhoon *** feasibility of SGA was verified with the simulation of Typhoon Mujigae(201.)by using the Weather Research and Forecasting(WRF)model and Typhoon Higos(2020)by using the Coupled Ocean–Atmosphere–Wave–Sediment Transport(COAWST)modeling *** results show that SGA can efficiently obtain the optimal combination of *** Typhoon Mujigae(201.),the optimal combination can be found from the 1.304,576 possible combinations by running only 488 *** results can be obtained for Typhoon Higos(2020).Compared to the default combination proposed by the COAWST model system,the optimal combination scheme significantly improves the simulation of typhoon track and *** study provides a feasible way to search for the optimal combinations of physical parameterization schemes in WRF and COAWST for more accurate typhoon *** can help provide references for future development of NWP models,and for analyzing the coordination and adaptability of different physical process parameterization schemes under specific weather backgrounds.

关键词： simple genetic algorithm(SGA) combinatorial optimization typhoon forecast numerical weather prediction(NWP)

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An Evaluation of tropical Cyclone Genesis Forecast over the Western North Pacific and the South China Sea from the CMA-TRAMS

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Journal of tropical {1. 2024年第1期30卷 20-28页

作者：李梦婕陈子通戴光丰田群梁卓轩林青张艳霞 guangzhou {1. of tropical and marine meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction CMAGuangzhou 510641 China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081 China Guangdong Meteorological Observatory Guangzhou 510641 China

tropical cyclone(TC) genesis forecasting is essential for daily operational practices during the typhoon *** updated version of the tropical Regional Atmosphere Model for the South China Sea(CMA-TRAMS) offers forecasters reliable numerical weather prediction(NWP) products with improved configurations and fine resolution. While traditional evaluation of typhoon forecasts has focused on track and intensity, the increasing accuracy of TC genesis forecasts calls for more comprehensive evaluation methods to assess the reliability of these predictions. This study aims to evaluate the effectiveness of the CMA-TRAMS for cyclogenesis forecasts over the western North Pacific and South China Sea. Based on previous research and typhoon observation data over five years, a set of localized, objective criteria has been proposed. The analysis results indicate that the CMA-TRAMS demonstrated superiority in cyclogenesis forecasts, predicting 6 out of 22 TCs with a forecast lead time of up to 1.4 h. Additionally, over 80% of the total could be predicted 72 h in advance. The model also showed an average TC genesis position error of 21..3 km, comparable to the track errors of operational models according to the annual evaluation. The study also briefly investigated the forecast of Noul(201.). The forecast field of the CMA-TRAMS depicted thermal and dynamical conditions that could trigger typhoon genesis, consistent with the analysis field. The 96-hour forecast field of the CMA-TRAMS displayed a relatively organized threedimensional structure of the typhoon. These results can enhance understanding of the mechanism behind typhoon genesis,fine-tune model configurations and dynamical frameworks, and provide reliable forecasts for forecasters.

关键词： CMA-TRAMS cyclogenesis numerical weather prediction tropical cyclone

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Improving the Short-Range Precipitation Forecast of Numerical Weather Prediction through a Deep Learning-Based Mask Approach

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Advances in Atmospheric Sciences 2024年第8期41卷 1601-1613页

作者： Jiaqi ZHENG Qing LING Jia LI Yerong FENG School of Computer Science and Engineering/Guangdong Provincial Key Laboratory of Computational Science Sun Yat-Sen UniversityGuangzhou 510006China School of Mathematics Sun Yat-Sen UniversityGuangzhou 510275China guangzhou {1. of tropical and marine meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction Guangzhou 510641China Shenzhen institute of Meteorological Innovation Shenzhen 518038China

Due to various technical issues,existing numerical weather prediction(NWP)models often perform poorly at forecasting rainfall in the first several *** correct the bias of an NWP model and improve the accuracy of short-range precipitation forecasting,we propose a deep learning-based approach called UNet Mask,which combines NWP forecasts with the output of a convolutional neural network called *** UNet Mask involves training the UNet on historical data from the NWP model and gridded rainfall observations for 6-hour precipitation *** overlap of the UNet output and the NWP forecasts at the same rainfall threshold yields a *** UNet Mask blends the UNet output and the NWP forecasts by taking the maximum between them and passing through the mask,which provides the corrected 6-hour rainfall *** evaluated UNet Mask on a test set and in real-time *** results showed that UNet Mask outperforms the NWP model in 6-hour precipitation prediction by reducing the FAR and improving CSI *** tests also showed that different small rainfall thresholds applied to the UNet and the NWP model have different effects on UNet Mask's forecast *** study shows that UNet Mask is a promising approach for improving rainfall forecasting of NWP models.

关键词： deep learning numerical weather prediction(NWP) 6-hour quantitative precipitation forecast

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Multimodel Ensemble Forecast of Global Horizontal Irradiance at PV Power Stations Based on Dynamic Variable Weight

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Journal of tropical {1. 2024年第3期30卷 327-336页

作者： YUAN Bin SHEN Yan-bo DENG Hua YANG Yang CHEN Qi-ying YE Dong MO Jing-yue YAO Jin-feng LIU Zong-hui Public Meteorological Service Center China Meteorological AdministrationBeijing 100081 China Key Laboratory of Energy meteorology China Meteorological AdministrationBeijing 100081 China guangzhou {1. of tropical and marine meteorology China Meteorological AdministrationGuangzhou 510641 China institute of Urban {1. China Meteorological AdministrationBeijing 100089 China Center for Earth System Modeling and Prediction China Meteorological AdministrationBeijing 100081 China institute of Desert {1. China Meteorological AdministrationUrumqi 830002 China

In the present study,multimodel ensemble forecast experiments of the global horizontal irradiance(GHI)were conducted using the dynamic variable weight *** study was based on the forecasts of four numerical models,namely,the China Meteorological Administration Wind Energy and Solar Energy Prediction System,the Mesoscale Weather Numerical Prediction System of China Meteorological Administration,the China Meteorological Administration Regional Mesoscale Numerical Prediction System-Guangdong,and the Weather Research and Forecasting Model-Solar,and observational data from four photovoltaic(PV)power stations in Yangjiang City,Guangdong *** results show that compared with those of the monthly optimal numerical model forecasts,the dynamic variable weight-based ensemble forecasts exhibited 0.97%-1..96%smaller values of the mean absolute error and 3.31.-1..40%lower values of the root mean square error(RMSE).However,the increase in the correlation coefficient was not ***,the multimodel ensemble mainly improved the performance of GHI forecasts below 700 W m^(-2),particularly below 400 W m^(-2),with RMSE reductions as high as 7.56%-28.28%.In contrast,the RMSE increased at GHI levels above 700 W m^(-2).As for the key period of PV power station output(02:00-07:00),the accuracy of GHI forecasts could be improved by the multimodel ensemble:the multimodel ensemble could effectively decrease the daily maximum absolute error(AE max)of GHI ***,with increasing forecasting difficulty under cloudy conditions,the multimodel ensemble,which yields data closer to the actual observations,could simulate GHI fluctuations more accurately.

关键词： GHI forecast multimodel ensemble dynamic variable weight PV power station

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Comparative Transcriptome Analysis of Shell-Matrix-Protein Genes and Observation of the Shell Microstructure in the Deep-Sea Clam Calyptogena marissinica

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Journal of Ocean University of China 2024年第3期23卷 797-810页

作者： SHI Yu LIU Dongting YAO Gaoyou HE Maoxian CAS Key Laboratory of tropical {1. Bio-Resources and Ecology Guangdong Provincial Key Laboratory of Applied Marine BiologySouth China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern marine Science and Engineering Guangdong Laboratory({1.) Guangzhou 511458China University of Chinese Academy of Sciences Beijing 100049China

The deep-sea clam Calyptogena marissinica is widely distributed in the Haima cold seep ecosystem on the northwes-tern slope of the South China Sea with low pH values,low temperature and high *** information is available on the biomineralization of this *** this research,we generated a comprehensive transcript dataset of ***’s mantle tissue,and a total of 1.821.unigenes were *** shell matrix proteins(SMP)-related genes were *** qPCR results showed that four out of six prismatic matrix genes(MSP2,MSP5,prisilkin-39,and shematrin),four out of the six nacreous matrix genes(perlucin,pif,pif97,and papilin),and two extrapallial fluid proteins(SPARC and calmodulin)were significantly expressed in the *** the nacreous and the prismatic layers are chrysanthemum-shaped,which are stacked on the top of each other to form a laminated nacreous *** alignment and phylogenetic analysis of MSP-5,Prisilkin-39,Perlucin,and Pif homologues showed that some amino acids of *** that differed from those detected in other molluscs may cause the different shape of the nacreous and prismatic layers,but do not lead to a change in the species’evolutionary *** results indicated the conservation of the functions of SMP-related genes in ***,and the specific shape of the prismatic and nacreous layers of this deep-sea mollusc,which will contribute to the research on the molecular regulation mechanisms of biomineralization in *** and provide a new perspective to investigate biomineralization in deep-sea clams in general.

关键词： transcriptome biomineralization mantle tissue shell Calyptogena marissinica

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Small temporal variation in abundance of virioplankton compared to bacterioplankton and phytoplankton in two bays in the northern South China Sea

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Journal of Oceanology and Limnology 2024年第4期42卷 1130-1142页

作者： Jiandong ZHANG Yineng LI Lijuan LONG Sijun HUANG CAS Key Laboratory of tropical {1. Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China marine Environmental Engineering Center South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China State Key Laboratory of tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern marine Science and Engineering Guangdong Laboratory({1.) Guangzhou 511458China Guangdong Provincial Observation and Research Station for Coastal Upwelling Ecosystem South China Sea Institute of OceanologyChinese Academy of SciencesShantou 515041China

Variations of picoplankton groups were investigated over a one-month period in Daya Bay and Sanya Bay,in the northern South China *** two coastal regions exhibited different variation patterns in physicochemical ***,the diel variations of picoplankton groups were different between the two *** abundance of the picoplankton in Sanya Bay displayed a pronounced diel variation,while it was not significant in Daya *** addition,some similar patterns of picoplankton abundance were *** the two bays,virioplankton exhibited the smallest fluctuation range,whereas picocyanobacteria fluctuated most *** fluctuation range of picoplankton groups was larger in spring tide than in neap tide,especially in Sanya *** forest model analysis demonstrated that the variation of picoplankton groups was attributed to physical and chemical factors in Sanya Bay and Daya Bay,***,our findings suggest that virioplankton abundance can persist more stably in response to changing environmental conditions compared to bacterioplankton and picophytoplankton.

关键词： diel variation abundance picoplankton group virioplankton picocyanobacteria

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Validating the use of ROS-scavenging bacteria as probiotics to increase coral resilience to thermal stress

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Journal of Oceanology and Limnology 2024年第4期42卷 1242-1260页

作者： Xiaoyu TANG Qingsong YANG Ying ZHANG Hanzhang WANG Juan LING Haiyan SUN Junde DONG Yanying ZHANG CAS Key Laboratory of tropical {1. Bio-resources and Ecology South China Sea Institute of Oceanology(SCSIO)Guangzhou 510301China Ocean School Yantai UniversityYantai 264005China Southern marine Science and Engineering Guangdong Laboratory({1.) Guangzhou 511458China Sanya National marine Ecosystem Research Station and Key Laboratory of {1. marine Biotechnology of Hainan Province Sanya Institute of OceanologySCSIOSanya 572000China institute of Deep-sea Science and Engineering Chinese Academy of SciencesSanya 572000China University of Chinese Academy of Sciences Beijing 100049China

Thermal stress causes the overproduction and toxic accumulation of reactive oxygen species(ROS),which seems to be correlated with coral bleaching and,ultimately,*** reduction of ROS concentration within the coral holobiont could minimize the effects of thermal stress and support efforts to reduce coral decline *** the current study,we explored the physiological responses of Pocillopora damicornis to ROS-scavenging bacteria inoculation as well as the microbiome restructuring that correlates with ***’s resilience to thermal stress after probiotic *** of corals with ROS-scavenging bacteria enhanced coral health and reduced ROS ***,the enhanced coral thermal resistance promoted by ROS-scavenging bacteria was also correlated with an overall coral microbiome *** addition,the complex network relationships between bacteria and Symbiodiniaceae in corals after ROS-scavenging bacteria inoculation contributed to corals’resilience to high ***,coral heat tolerance bacterial biomarkers,such as Myxococcota,were enriched in corals with added ROS-scavenging ***,our findings validate the selected ROS-scavenging bacteria as coral probiotics that could help corals resist thermal stress on a short ***,our data contribute to our understanding of the potential interactions between different members of the coral holobiont and the use of probiotics as tools to aid coral restoration efforts.

关键词： coral beneficial microorganisms for corals(BMCs) Symbiodiniaceae thermal stress coral bleaching

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Linking coral fluorescence phenotypes to thermal bleaching in the reef-building Galaxea fascicularis from the northern South China Sea

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marine Life Science & Technology 2024年第1期6卷 155-167页

作者： Sanqiang Gong Jiayuan Liang Gang Li Lijia Xu Yehui Tan Xinqing Zheng Xuejie Jin Kefu Yu Xiaomin Xia Key Laboratory of tropical {1. Bio-Resources and Ecology&Guangdong Provincial Key Laboratory of Applied {1. Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern marine Science and Engineering Guangdong Laboratory({1.) Guangzhou 510301China Coral Reef Research Center of China Guangxi UniversityNanning 53004China South China institute of Environmental Sciences The Ministry of Ecology and Environment of PRCGuangzhou 510530China Third institute of Oceanography Ministry of Natural ResourcesXiamen 361005China

Coral fluorescence phenotypes have been suggested as an adaptation to a broad range of environmental conditions,yet the mechanisms linking thermal bleaching tolerance in reef-building coral populations,associated with fluorescence phenotypes due to GFP-like proteins,remains *** this study,the relationship between the thermal sensitivity and phenotypic plasticity of corals was investigated using two phenotypes of Galaxea fascicularis,green and *** results reveal that brown *** was more susceptible to bleaching than green *** when exposed to a higher growth temperature of 32℃.Both phenotypes of *** were associated with the thermotolerant Symbiodiniaceae symbiont,Durusdinium ***,the brown *** showed a significant decrease in Symbiodiniaceae cell density and a significant increase in pathogenic bacteria abundance when the growth temperature was raised from 29 to 32℃.The physiological traits and transcriptomic profiles of Symbiodiniaceae were not notably affected,but there were differences in the transcriptional levels of certain genes between the two phenotype hosts of *** heat stress of 32℃,the gene encoding green fluorescent protein(GFP)-like and chromosome-associated proteins,as well as genes related to oxidative phosphorylation,cell growth and death showed lower transcriptional levels in the brown *** compared to the green ***,the results demonstrate that the green form of *** is better able to tolerate ocean warming and defend against pathogenic bacteria,likely due to higher gene transcription levels and defense ability.

关键词： Fluorescence phenotype Thermal bleaching Microbiome Galaxea fascicularis Ocean warming

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Slc43a2^(+)T cell metastasis from spleen to brain in RGNNV infected teleost

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Science China(Life Sciences) 2024年第4期67卷 733-744页

作者： Qing Wang Yali Liu Minlin Zhang Min Yang Jiantao Liang Xiaoling Zuo Shaowen Wang Xianze Jia Huihong Zhao Han Jiang Qiang Lin Qiwei Qin College of marine Sciences South China Agricultural UniversityGuangzhou 510642China CAS Key Laboratory of tropical {1. Bio-Resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Nansha-South China Agricultural University Fishery Research institute Guangzhou 511457China Joint University Laboratory of Guangdong Province Hong Kong and Marco Region on Marine Bioresource Conservation and ExploitationGuangzhou 510642China University of Chinese Academy of Sciences Beijing 100101China

The origin of T cells in the teleost's brain is *** viewing the central nervous system(CNS)as immune privileged has been widely accepted,previous studies suggest that T cells residing in the thymus but not in the spleen of the teleost play an essential role in communicating with the peripheral ***,we identified nine T cell subpopulations in the thymus and spleen of orange-spotted grouper(Epinephelus coioices)through single-cell RNA-sequencing *** viral CNS infection with red-spotted grouper nervous necrosis virus(RGNNV),the number of slc43a2^(+)T cells synchronously increased in the spleen and *** the infection tests in asplenic zebrafish(tlx1.▲zebrafish model),no increase in the number of slc43a2^(+)T cells was observed in the ***-cell transcriptomic analysis indicated that slc43a2^(+)T cells mature and functionally differentiate within the spleen and then migrate into the brain to trigger an immune *** study suggests a novel route for T cell migration from the spleen to the brain during viral infection in fish.

关键词： central nervous system slc43a2^(+)T cell RGNNV T cell migration teleost

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