The Predictability Limit of Oceanic Mesoscale Eddy Tracks in the South China Sea

Employing the nonlinear local Lyapunov exponent (NLLE) technique, this study assesses the quantitative predictability limit of oceanic mesoscale eddy (OME) tracks utilizing three eddy datasets for both annual and seasonal means. Our findings reveal a discernible predictability limit of approximately 39 days for cyclonic eddies (CEs) and 44 days for anticyclonic eddies (AEs) within the South China Sea (SCS). The predictability limit is related to the OME properties and seasons. The long-lived, large-amplitude, and large-radius OMEs tend to have a higher predictability limit. The predictability limit of AE (CE) tracks is highest in autumn (winter) with 52 (53) days and lowest in spring (summer) with 40 (30) days. The spatial distribution of the predictability limit of OME tracks also has seasonal variations, further finding that the area of higher predictability limits often overlaps with periodic OMEs. Additionally, the predictability limit of periodic OME tracks is about 49 days for both CEs and AEs, which is 5-10 days higher than the mean values. Usually, in the SCS, OMEs characterized by high predictability limit values exhibit more extended and smoother trajectories and often move along the northern slope of the SCS.

Quantifying the Role of the Eddy Transfer Coefficient in Simulating the Response of the Southern Ocean Meridional Overturning Circulation to Enhanced Westerlies in a Coarse-resolution Model

This study assesses the capability of a coarse-resolution ocean model to replicate the response of the Southern Ocean Meridional Overturning Circulation(MOC) to intensified westerlies,focusing on the role of the eddy transfer coefficient(κ).κ is a parameter commonly used to represent the velocities induced by unresolved eddies.Our findings reveal that a stratification-dependent κ,incorporating spatiotemporal variability,leads to the most robust eddy-induced MOC response,capturing 82% of the reference eddy-resolving simulation.Decomposing the eddy-induced velocity into its vertical variation(VV) and spatial structure(SS) components unveils that the enhanced eddy compensation response primarily stems from an augmented SS term,while the introduced VV term weakens the response.Furthermore,the temporal variability of the stratification-dependent κ emerges as a key factor in enhancing the eddy compensation response to intensified westerlies.The experiment with stratification-dependent κ exhibits a more potent eddy compensation response compared to the constant κ,attributed to the structure of κ and the vertical variation of the density slope.These results underscore the critical role of accurately representing κ in capturing the response of the Southern Ocean MOC and emphasize the significance of the isopycnal slope in modulating the eddy compensation mechanism.

Responses of the Southern Ocean mixed layer depth to the eastern and central Pacific El Niño events during austral winter

Based on the Ocean Reanalysis System version 5(ORAS5)and the fifth-generation reanalysis datasets derived from European Centre for Medium-Range Weather Forecasts(ERA5),we investigate the different impacts of the central Pacific(CP)El Niño and the eastern Pacific(EP)El Niño on the Southern Ocean(SO)mixed layer depth(MLD)during austral winter.The MLD response to the EP El Niño shows a dipole pattern in the South Pacific,namely the MLD dipole,which is the leading El Niño-induced MLD variability in the SO.The tropical Pacific warm sea surface temperature anomaly(SSTA)signal associated with the EP El Niño excites a Rossby wave train propagating southeastward and then enhances the Amundsen Sea low(ASL).This results in an anomalous cyclone over the Amundsen Sea.As a result,the anomalous southerly wind to the west of this anomalous cyclone advects colder and drier air into the southeast of New Zealand,leading to surface cooling through less total surface heat flux,especially surface sensible heat(SH)flux and latent heat(LH)flux,and thus contributing to the mix layer(ML)deepening.The east of the anomalous cyclone brings warmer and wetter air to the southwest of Chile,but the total heat flux anomaly shows no significant change.The warm air promotes the sea ice melting and maintains fresh water,which strengthens stratification.This results in a shallower MLD.During the CP El Niño,the response of MLD shows a separate negative MLD anomaly center in the central South Pacific.The Rossby wave train triggered by the warm SSTA in the central Pacific Ocean spreads to the Amundsen Sea,which weakens the ASL.Therefore,the anomalous anticyclone dominates the Amundsen Sea.Consequently,the anomalous northerly wind to the west of anomalous anticyclone advects warmer and wetter air into the central and southern Pacific,causing surface warming through increased SH,LH,and longwave radiation flux,and thus contributing to the ML shoaling.However,to the east of the anomalous anticyclone,there is no statistically significant impact on the MLD.

Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks

Recent advances in deep neural networks have shed new light on physics,engineering,and scientific computing.Reconciling the data-centered viewpoint with physical simulation is one of the research hotspots.The physicsinformedneural network(PINN)is currently the most general framework,which is more popular due to theconvenience of constructing NNs and excellent generalization ability.The automatic differentiation(AD)-basedPINN model is suitable for the homogeneous scientific problem;however,it is unclear how AD can enforce fluxcontinuity across boundaries between cells of different properties where spatial heterogeneity is represented bygrid cells with different physical properties.In this work,we propose a criss-cross physics-informed convolutionalneural network(CC-PINN)learning architecture,aiming to learn the solution of parametric PDEs with spatialheterogeneity of physical properties.To achieve the seamless enforcement of flux continuity and integration ofphysicalmeaning into CNN,a predefined 2D convolutional layer is proposed to accurately express transmissibilitybetween adjacent cells.The efficacy of the proposedmethodwas evaluated through predictions of several petroleumreservoir problems with spatial heterogeneity and compared against state-of-the-art(PINN)through numericalanalysis as a benchmark,which demonstrated the superiority of the proposed method over the PINN.

区域智慧教育多级联动服务体系构建研究

区域智慧教育是新一代信息技术与教育深度融合、创新发展而产生的新型教育模式,代表着区域教育信息化未来的发展方向和趋势,但在推进过程中依然面临着诸多困难:教育应用系统繁多且使用率低;教育需求动态多变,系统建设难以统筹规划;教育应用系统持续维护难;教育数据难以实现互联互通;教育数据价值挖掘不足,难以支持精准服务等。构建“横向互联、纵向贯通、全面覆盖”的多级联动服务体系将有助于以上问题的破解,并在推动基于数据驱动的教育顶层设计和精准决策、推进区域教育信息化深度融合和可持续发展、实现与智慧城市系统的深度对接等方面有着重要的价值。多级联动服务架构包括基础服务层、中台服务层和应用服务层。基础服务层汇聚多方云平台的通用服务,根据教育业务需求的实际变化进行动态资源调配,以满足基本的教育需求;中台服务层采用“业务+数据”双中台架构,实现各教育业务板块之间的联通和协同,完成教育应用系统之间的数据贯通及跨业务系统的数据对接;应用服务层基于微服务架构,并根据实际的教育业务需求对各类教育应用进行分类重组,为不同用户呈现更加精准化、智能化的微应用和微服务。

元宇宙赋能历史教学:认知逻辑、技术架构与理性审视

元宇宙与历史教学的融合应用有着天然的现实可能:重构历史教学的系统形态、拓宽历史教学的全新场域、创生历史教学的学习情境。其技术架构包括数字基础设施层、平台功能层、内容场景层和数据服务层。数字基础设施层为元宇宙与历史教学的融合应用提供所必需的数字基础支撑技术;平台功能层为历史教学场景构建、3D形式交互等各类具有共性服务功能的孪生应用,提供敏捷开发和运行的规范化服务;内容场景层通过再现和重生历史现场、历史情境、历史人物等,为师生展现一种全新的教学场域;数据服务层基于对海量的师生教学活动数据的动态分析,为优化教学行为、调整教学策略提供个性化、智能化、精准化服务。为保障元宇宙与历史教学融合应用的良性发展,需理性思考融合过程中所引发的问题与风险:重视数据安全,建立保护机制;厘清虚实边界,规避沉迷风险;正视技术赋能,回归教育本质。

Effects of Abrus cantoniensis Hance Extract on Blood Lipid of Laying Hen Feed with High Energy and Low Protein Diet

[Objectives]To explore the effects of Abrus cantoniensis Hance(ACH)extract on blood lipid indicators of laying hen fed with high energy and low protein diet.[Methods]Sixty 90-day-old laying hens were randomly divided into five groups:the blank control group(basic diet),the model group(high-energy and low-protein diet,HELPD),the low-dose group(HELPD+0.5 g ACH extract per hen,LACH),and the medium-dose group(HELPD+1 g ACH extract per hen,MACH),high dose group(HELPD+2 g ACH extract per hen,HACH).The ACH extract was administrated by drinking water for 48 d.[Results]Different doses of ACH could improve the pathological changes induced by high energy and low protein.ACH extract had no significant effect on blood routine indicators of laying hens(P>0.05).The contents of total cholesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDL-C)in the model group were significant-ly higher than those in the control group(P<0.05),while the content of high density lipoprotein cholesterol(HDL-C)was significantly lower than that in the control group(P<0.05).There was no significant difference in blood lipid between LACH group and model group(P>0.05).In MACH and HACH groups,the contents of TC,TG and LDL-C were significantly lower than those in the model group(P<0.05),and the content of HDL-C was significantly higher than that in the model group(P<0.05).[Conclusions]The ACH extract can regulate theHELPD-induced dyslipidemia in laying hens.

Effect of Elephantopus scaber L.Extract on Acute Pleurisy in Rats

[Objectives]To study the anti-inflammatory effect of Elephantopus scaber L.extract on acute pleurisy induced by carrageenan in rats,and to explore its anti-inflammatory mechanism.[Methods]The active sites of E.scaber L.were extracted by ethanol reflux method.The extracts of different concentrations of E.scaber L.were used as the study object,and dexamethasone was used as the positive control drug.The anti-inflammatory effects of E.scaber L.extracts were studied by measuring the levels of malondialdehyde(MDA),prostaglandin E_(2)(PGE_(2)),tumor necrosis factor(TNF-α),interleukin-1β(IL-1β)in pleural fluid and serum nitric oxide(NO),MDA,PEG_(2),TNF-α,IL-1βin rats with acute pleurisy induced by carrageenan.[Results]E.scaber L.extracts in three doses could reduce the levels of inflammatory factors in pleural fluid and serum,and inhibit acute pleurisy in rats.It was speculated that the anti-inflammatory mechanism was related to the inhibition of the release of inflammatory factors and the antioxidant effect of extracts of three doses of E.scaber L.[Conclusions]This experiment provides a basis for the development and application of E.scaber L.

Study on Fly Ash Based Porous Ceramsite as Biological Filter Media

Using fly ash as a raw material,porous ceramic particles with an apparent density of 1.21 g/cm^(3),a visible porosity of 51.03%,and a specific surface area of 4.26 m^(2)/g were prepared and used as biofilter materials for wastewater treatment.Through SEM,XRD analysis,and heavy metal leaching analysis,it was found that porous ceramsite were porous materials with rough surfaces.After calcination,the newly formed mineral was silicate calcium feldspar.The heavy metal concentration in the leaching solution of porous ceramsite met the national surface water quality requirements.The treatment of domestic sewage showed that the volumetric loads of COD Cr,NH_(4)^(+)-N,and TN removed by the aerated biofilter were 5.23,0.98,and 0.35 kg/(m^(3)·d),respectively,with removal rates of 85.46%,96.13%,and 32.31%.

有机硅改性聚氨酯的自修复及环境响应行为

通常自修复聚氨酯的耐高温性及疏水性欠佳,且存在修复手段单一、室温等温和条件下修复缓慢等问题,因此限制了自修复聚氨酯的广泛应用。文中以聚四氢呋喃二醇(PTMEG)和端羟基聚二甲基硅氧烷(PDMS-OH)与异佛尔酮二异氰酸酯(IPDI)合成预聚体,以4,4’-二氨基二苯二硫醚(ODD)作为含有动态二硫键的刚性扩链剂,4-甲基伞形酮(4-MU)作为含有可逆环结构的封端剂,制得室温下具备红外光照修复功能的有机硅改性聚氨酯(SiPU)。研究了含有二硫键的刚性扩链剂(ODD)的添加量对SiPU各项性能的影响,以及添加端羟基聚二甲基硅氧烷(PDMS-OH)对SiPU耐热性、疏水性的影响。再将自制的聚吡咯修饰碳纳米管(PPY/CNTs)作为导电填料,将其与SiPU超声共混制得具备多重响应性的自修复有机硅改性聚氨酯(CSiPU)。通过光学显微镜、3D光学干涉仪、万能试验机等证明了SiPU均可实现在室温(25℃)10μm红外光照射下的自修复,其中多元醇与扩链剂摩尔比为3:1的SiPU3修复效果最佳,全切修复效率达到88%,划痕修复效率达到100%;通过热失重分析及接触角测量表明,有机硅结构的引入使SiPU的热稳定性及疏水性有一定提升;通过数字万用表验证了CSiPU可实现对温度及化学环境的响应行为。

CAS FGOALS-f3-L Model Datasets for CMIP6 DCPP Experiment

The outputs of the Chinese Academy of Sciences(CAS)Flexible Global Ocean-Atmosphere-Land System(FGOALSf3-L)model for the decadal climate prediction project(DCPP)of the Coupled Model Intercomparison Project Phase 6(CMIP6)are described in this paper.The FGOALS-f3-L was initialized through the upgraded,weakly coupled data assimilation scheme,referred to as EnOI-IAU,which assimilates observational anomalies of sea surface temperature(SST)and upper-level(0–1000-m)ocean temperature and salinity profiles into the coupled model.Then,nine ensemble members of 10-year hindcast/forecast experiments were conducted for each initial year over the period of 1960–2021,based on initial conditions produced by three initialization experiments.The hindcast and forecast experiments follow the experiment designs of the Component-A and Component-B of the DCPP,respectively.The decadal prediction output datasets contain a total of 44 monthly mean atmospheric and oceanic variables.The preliminary evaluation indicates that the hindcast experiments show significant predictive skill for the interannual variations of SST in the north Pacific and multi-year variations of SST in the subtropical Pacific and the southern Indian Ocean.

Oceanic mesoscale eddy in the Kuroshio extension:Comparison of four datasets

Some relatively mature mesoscale eddy products have been released for scientific purposes in recent decades.However,the metrics used to identify eddies,the tracking methods,and the definition of the physical parameters are all different across the different datasets,so intercomparisons and validation of these datasets are badly needed.Here,the authors intercompare the basic features of ocean mesoscale eddies in the Kuroshio extension region from four eddy datasets—namely,Chelton,GEM-M,Faghmous,and Dong.In the case study,eddy numbers and locations as well as the eddy tracks identified by the four datasets are compared for a specific date.The authors find that all the datasets have different eddy numbers,but more than 50%of identified eddies coincide.GEM-M,with the so-called"segmentation"algorithm,can identify considerably more eddies than others,while Chelton identifies fewer eddies due to tracking errors,which also lead to a long lifespan.From the analysis of the probability distribution function of eddy features,GEM-M eddies tend to have a larger amplitude and radius and Chelton tends to have long-life eddies.It is further found that the geographic distributions and temporal variation of normalized eddy features are highly similar among the four datasets—particularly among Chelton,Fahgmous,and Dong.In addition,the mean trajectories of the four datasets are generally overlapped initially,and then spread after 245 days.The findings help toward better understanding the uncertainties of eddy features in the Kuroshio extension region.

靶向miRNA前体不同类型sgRNA的丰度及特异性评估

CRISPR/Cas技术能高效进行基因组定点编辑,但不同细菌来源或人工改造的Cas9以及Cpf1等核酸酶识别的PAM(protospacer adjacent motif)有差异,因此不同的基因编辑核酸酶可能采用不同类型的sgRNAs(small guide RNAs)。Micro RNAs(miRNAs)是一类调控性的小分子非编码RNAs,为了研究miRNA前体中是否可能存在特异性高的sgRNAs靶点,本文利用本课题组前期开发的生物信息学软件CRISPR-offinder,对靶向28 645条miRNA前体的11种不同类型sgRNA的丰度及特异性进行了分析,并利用CRISPR/Cas9慢病毒技术构建了猪miR-302/367基因簇敲除细胞系,对构建的猪miRNA敲除细胞系的效率进行了检测。结果表明,每个miRNA前体中平均存在约8种不同类型sgRNA的靶点;通过评估靶向猪miRNA前体sgRNA的脱靶效应,发现其中特异性高的sgRNA仅占18.2%;通过CRISPR/Cas9慢病毒技术成功构建了猪miR-302/367基因簇敲除细胞系,发现通过该技术构建miRNA敲除细胞系的效率为40%。本研究为利用CRISPR/Cas技术靶向敲除miRNA提供了重要资源。

LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project

The datasets of two Ocean Model Intercomparison Project(OMIP)simulation experiments from the LASG/IAP Climate Ocean Model,version 3(LICOM3),forced by two different sets of atmospheric surface data,are described in this paper.The experiment forced by CORE-II(Co-ordinated Ocean–Ice Reference Experiments,Phase II)data(1948–2009)is called OMIP1,and that forced by JRA55-do(surface dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis)data(1958–2018)is called OMIP2.First,the improvement of LICOM from CMIP5 to CMIP6 and the configurations of the two experiments are described.Second,the basic performances of the two experiments are validated using the climatological-mean and interannual time scales from observation.We find that the mean states,interannual variabilities,and long-term linear trends can be reproduced well by the two experiments.The differences between the two datasets are also discussed.Finally,the usage of these data is described.These datasets are helpful toward understanding the origin system bias of the fully coupled model.

Selective hydrogenolysis of furfuryl alcohol to 1,5-and 1,2-pentanediol over Cu-LaCoO_3 catalysts with balanced Cu^O-CoO sites

Selective hydrogenolysis of biomass‐derived furfuryl alcohol(FFA)to 1,5‐and 1,2‐pentanediol(PeD)was conducted over Cu‐LaCoO3 catalysts with different Cu loadings;the catalysts were derived from perovskite structures prepared by a one‐step citrate complexing method.The catalytic performances of the Cu‐LaCoO3 catalysts were found to depend on the Cu loading and pretreatment conditions.The catalyst with 10 wt%Cu loading exhibited the best catalytic performance after prereduction in 5%H2‐95%N2,achieving a high FFA conversion of 100%and selectivity of 55.5%for 1,5‐pentanediol(40.3%)and 1,2‐pentanediol(15.2%)at 413 K and 6 MPa H2.This catalyst could be reused four times without a loss of FFA conversion but it resulted in a slight decrease in pentanediol selectivity.Correlation between the structural changes in the catalysts at different states and the simultaneous variation in the catalytic performance revealed that cooperative catalysis between Cu0 and CoO promoted the hydrogenolysis of FFA to PeDs,especially to 1,5‐PeD,while Co0 promoted the hydrogenation of FFA to tetrahydrofurfuryl alcohol(THFA).Therefore,it is suggested that a synergetic effect between balanced Cu0 and CoO sites plays a critical role in achieving a high yield of PeDs with a high 1,5‐/1,2‐pentanediol selectivity ratio during FFA hydrogenolysis.

Effects of Kuroshio intrusion optimization on the simulation of mesoscale eddies in the northern South China Sea

The impacts of Kuroshio intrusion(KI) optimization on the simulation of meso-scale eddies(MEs) in the northern South China Sea(SCS) were investigated based on an eddy-resolving ocean general circulation model by comparing two numerical experiments with differences in their form and intensity of KI due to the optimizing topography at Luzon Strait(LS). We found that a reduced KI reduces ME activities in the northern SCS, which is similar to the observations. In this case, the biases of the model related to simulating the eddy kinetic energy(EKE) west of the LS and along the northern slope are remarkably attenuated. The reduced EKE modeling bias is associated with both the reduced number of anti-cyclonic eddies(AEs) and the reduced amplitude of cyclonic eddies(CEs). The EKE budget analysis further suggests that the optimization of the KI will change the EKE by changing the horizontal velocity shear and the slope of the thermocline, which are related to barotropic and baroclinic instabilities, respectively. The former plays the key role in regulating the EKE in the northern SCS due to the changing of the KI. The EKE advection caused by the KI is also important for the EKE budget to the west of the LS.

A Double-Index Method to Classify Kuroshio Intrusion Paths in the Luzon Strait

A double index （DI）, which is made up of two sub-indices, is proposed to describe the spatial patterns of the Kuroshio intrusion and mesoscale eddies west to the Luzon Strait, based on satellite altimeter data. The area-integrated negative and positive geostrophic vorticities are defined as the Kuroshio warm eddy index （KWI） and the Kuroshio cold eddy index （KCI）, respectively. Three typical spatial patterns are identified by the DI： the Kuroshio warm eddy path （KWEP）, the Kuroshio cold eddy path （KCEP）, and the leaking path. The primary features of the DI and three patterns are further investigated and compared with previous indices. The effects of the integrated area and the algorithm of the integration are investigated in detail. In general, the DI can overcome the problem of previously used indices in which the positive and negative geostrophic vorticities cancel each other out. Thus, the proportions of missing and misjudged events are greatly reduced using the DI. The DI, as compared with previously used indices, can better distinguish the paths of the Kuroshio intrusion and can be used for further research.

CAS-ESM2.0 Model Datasets for the CMIP6 Ocean Model Intercomparison Project Phase 1 (OMIP1)

As a member of the Chinese modeling groups,the coupled ocean-ice component of the Chinese Academy of Sciences’Earth System Model,version 2.0(CAS-ESM2.0),is taking part in the Ocean Model Intercomparison Project Phase 1(OMIP1)experiment of phase 6 of the Coupled Model Intercomparison Project(CMIP6).The simulation was conducted,and monthly outputs have been published on the ESGF(Earth System Grid Federation)data server.In this paper,the experimental dataset is introduced,and the preliminary performances of the ocean model in simulating the global ocean temperature,salinity,sea surface temperature,sea surface salinity,sea surface height,sea ice,and Atlantic Meridional Overturning Circulation(AMOC)are evaluated.The results show that the model is at quasi-equilibrium during the integration of 372 years,and performances of the model are reasonable compared with observations.This dataset is ready to be downloaded and used by the community in related research,e.g.,multi-ocean-sea-ice model performance evaluation and interannual variation in oceans driven by prescribed atmospheric forcing.

Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project

A 61-year(1958–2018)global eddy-resolving dataset for phase 2 of the Ocean Model Intercomparison Project has been produced by the version 3 of Chinese Academy of Science,the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics(LASG/IAP)Climate system Ocean Model(CAS-LICOM3).The monthly and a part of the surface daily data in this study can be accessed on the Earth System Grid Federation(ESGF)node.Besides the details of the model and experiments,the evolutions and spatial patterns of large-scale and mesoscale features are also presented.The mesoscale features are reproduced well in the high-resolution simulation,as the mesoscale activities can contribute up to 50%of the total SST variability in eddy-rich regions.Also,the large-scale circulations are remarkably improved compared with the low-resolution simulation,such as the climatological annual mean SST(the RMSE is reduced from 0.59°C to 0.47°C,globally)and the evolution of Atlantic Meridional Overturning Circulation.The preliminary evaluation also indicates that there are systematic biases in the salinity,the separation location of the western boundary currents,and the magnitude of eddy kinetic energy.All these biases are worthy of further investigation.

CAS-ESM2.0 Model Datasets for the CMIP6 Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP)

The second version of the Chinese Academy of Sciences Earth System Model(CAS-ESM2.0)is participating in the Flux-Anomaly-Forced Model Intercomparison Project(FAFMIP)experiments in phase 6 of the Coupled Model Intercomparison Project(CMIP6).The purpose of FAFMIP is to understand and reduce the uncertainty of ocean climate changes in response to increased CO2 forcing in atmosphere-ocean general circulation models(AOGCMs),including the simulations of ocean heat content(OHC)change,ocean circulation change,and sea level rise due to thermal expansion.FAFMIP experiments(including faf-heat,faf-stress,faf-water,faf-all,faf-passiveheat,faf-heat-NA50pct and faf-heat-NA0pct)have been conducted.All of the experiments were integrated over a 70-year period and the corresponding data have been uploaded to the Earth System Grid Federation data server for CMIP6 users to download.This paper describes the experimental design and model datasets and evaluates the preliminary results of CAS-ESM2.0 simulations of ocean climate changes in the FAFMIP experiments.The simulations of the changes in global ocean temperature,Atlantic Meridional Overturning Circulation(AMOC),OHC,and dynamic sea level(DSL),are all reasonably reproduced.