Simulation of the Asian Monsoon by IAP AGCM Coupled with an Advanced Land Surface Model(IAP94)

In this paper, the global and regional features of the seasonal variation of general circulation, and especially the Asian monsoon simulated by the Institute of Atmospheric Physics Two-level AGCM coupled with a sophisticated land-surface model (IAP94-GCM) are presented and compared with the observation. The comparison is made by using the equilibrium multiyear seasonal cycle climate from a 100-year integration. In the integration sea surface temperature (SST) and sea ice are taken from the observed climatological data (with seasonal variation) because our purpose is to see the improvement of simulation due to the coupling with an advanced land surface model. Overall, the IAP94-GCM provides a reasonably realistic simulation of the interseasonal and intraseasonal climatology of the Asian monsoon and yields an important information that sheds light on the thermal underpinning and the thermodynamics of the seasonal and even multiscale variabilities associated with the Asian summer monsoon.

Numerical simulation of typhoon- induced storm surge on the coast of Jiangsu Province,China,based on coupled hydrodynamic and wave models

In order to facilitate engineering design and coastal flooding protection, the potential storm surge induced by a typhoon is studied.Using an unstructured mesh, a coupled model which combines the advanced circulation （ ADCIRC ） hydrodynamic model and simulating waves nearshore （ SWAN ） model is applied to analyze the storm surge and waves on the coast of Jiangsu Province.The verifications of wind velocity, tidal levels and wave height show that this coupling model performs well to reflect the characteristics of the water levels and waves in the studied region.Results show that the effect of radiation stress on storm surge is significant, especially in shallow areas such as the coast of Jiangsu Province and the Yangtze estuary.By running the coupled model, the simulated potential flooding results can be employed in coastal engineering applications in the Jiangsu coastal area, such as storm surge warnings and extreme water level predictions.

Nonlinear stability of advanced sandwich cylindrical shells comprising porous functionally graded material and carbon nanotube reinforced composite layers under elevated temperature

The nonlinear stability of sandwich cylindrical shells comprising porous functionally graded material(FGM) and carbon nanotube reinforced composite(CNTRC)layers subjected to uniform temperature rise is investigated. Two sandwich models corresponding to CNTRC and FGM face sheets are proposed. Carbon nanotubes(CNTs) in the CNTRC layer are embedded into a matrix according to functionally graded distributions. The effects of porosity in the FGM and the temperature dependence of properties of all constituent materials are considered. The effective properties of the porous FGM and CNTRC are determined by using the modified and extended versions of a linear mixture rule, respectively. The basic equations governing the stability problem of thin sandwich cylindrical shells are established within the framework of the Donnell shell theory including the von K’arm’an-Donnell nonlinearity. These equations are solved by using the multi-term analytical solutions and the Galerkin method for simply supported shells.The critical buckling temperatures and postbuckling paths are determined through an iteration procedure. The study reveals that the sandwich shell model with a CNTRC core layer and relatively thin porous FGM face sheets can have the best capacity of thermal load carrying. In addition, unlike the cases of mechanical loads, porosities have beneficial effects on the nonlinear stability of sandwich shells under the thermal load. It is suggested that an appropriate combination of advantages of FGM and CNTRC can result in optimal efficiency for advanced sandwich structures.

城市经济韧性的测度与溢出效应分析——以成渝双城经济圈为例

本文以成渝双城经济圈为研究对象,利用16个城市2010—2020年的相关面板数据,在构建综合指标体系测算城市经济韧性的基础上,借助Moran’s I指数对城市间经济韧性的空间相关性进行了分析,并通过构建空间杜宾模型实证检验了产业高级化程度对城市经济韧性溢出效应的影响。研究发现:(1)成渝双城经济圈内各城市的经济韧性普遍较低,其余城市的经济韧性水平与成都、重庆差距较大,且相邻城市间呈现出显著的负相关关系,各个城市的经济韧性逐年递增但仍存在着较大的提升空间;(2)城市产业高级化程度对经济韧性具有积极的促进作用,但对周边城市产生了负的经济溢出效应;(3)城镇化率、固定资产投资、全员劳动生产率和普通高校在校人数对城市经济韧性均存在显著的空间溢出效应。面向未来,要提升成渝双城经济圈的城市经济韧性需要合理规避在发展中产生的虹吸效应,注重提高成渝城市群内的产业高级化程度和追求城市间的协调发展。

1979—2018年间山东半岛沿海台风浪危险性分布的数值模拟研究

台风浪灾害在山东半岛沿海时常发生,对人类生命财产和基础设施构成很大威胁,因此,对山东半岛海域台风浪的危险性分析具有重要的现实意义。本研究使用ADCIRC+SWAN耦合数值模式采用Holland模型风场与NCEP再分析风场组合的风场驱动,对1979-2018年36次台风过境期间的海浪过程进行了模拟。以台风过境时最大有效波高及历时频数作为危险性评价指标,给出了山东半岛近岸台风浪强度等级分布、历时频数分布以及危险性指数分布。研究结果显示,山东半岛北部为台风浪低危险区,台风浪强度等级低且历时短;南部二级强度(有效波高范围为1.3-2.5m)以上台风浪发生较为频繁,危险性高于北部;东部台风浪强度可以达到四级(有效波高4m以上),危险性最高。

A high fidelity general purpose 3-D Monte Carlo particle transport program JMCT3.0

JMCT is a large-scale,high-fidelity,three-dimensional general neutron–photon–electron–proton transport Monte Carlo software system.It was developed based on the combinatorial geometry parallel infrastructure JCOGIN and the adaptive structured mesh infrastructure JASMIN.JMCT is equipped with CAD modeling and visualizes the image output.It supports the geometry of the body and the structured/unstructured mesh.JMCT has most functions,variance reduction techniques,and tallies of the traditional Monte Carlo particle transport codes.Two energy models,multi-group and continuous,are provided.In recent years,some new functions and algorithms have been developed,such as Doppler broadening on-thefly(OTF),uniform tally density(UTD),consistent adjoint driven importance sampling(CADIS),fast criticality search of boron concentration(FCSBC)domain decomposition(DD),adaptive control rod moving(ACRM),and random geometry(RG)etc.The JMCT is also coupled with the discrete ordinate SNcode JSNT to generate source-biasing factors and weight-window parameters.At present,the number of geometric bodies,materials,tallies,depletion zones,and parallel processors are sufficiently large to simulate extremely complicated device problems.JMCT can be used to simulate reactor physics,criticality safety analysis,radiation shielding,detector response,nuclear well logging,and dosimetry calculations etc.In particular,JMCT can be coupled with depletion and thermal-hydraulics for the simulation of reactor nuclear-hot feedback effects.This paper describes the progress in advanced modeling,high-performance numerical simulation of particle transport,multiphysics coupled calculations,and large-scale parallel computing.

Simulation of Quasi-Linear Mesoscale Convective Systems in Northern China：Lightning Activities and Storm Structure

Two intense quasi-linear mesoscale convective systems（QLMCSs） in northern China were simulated using the WRF（Weather Research and Forecasting） model and the 3D-Var（three-dimensional variational） analysis system of the ARPS（Advanced Regional Prediction System） model.A new method in which the lightning density is calculated using both the precipitation and non-precipitation ice mass was developed to reveal the relationship between the lightning activities and QLMCS structures.Results indicate that,compared with calculating the results using two previous methods,the lightning density calculated using the new method presented in this study is in better accordance with observations.Based on the calculated lightning densities using the new method,it was found that most lightning activity was initiated on the right side and at the front of the QLMCSs,where the surface wind field converged intensely.The CAPE was much stronger ahead of the southeastward progressing QLMCS than to the back it,and their lightning events mainly occurred in regions with a large gradient of CAPE.Comparisons between lightning and non-lightning regions indicated that lightning regions featured more intense ascending motion than non-lightning regions;the vertical ranges of maximum reflectivity between lightning and non-lightning regions were very different;and the ice mixing ratio featured no significant differences between the lightning and non-lightning regions.

SIMPLE ALGORITHM FOR SOIL MOISTURE RETRIEVAL WITH CO-POLARIZED SAR DATA

In this paper, an empirical methodology to retrieve bare soil moisture by Synthetic Aperture Radar (SAR) is developed. The model is based on Advanced Integral Equation Model (AIEM). Since AIEM cannot express cross-polarized backscattering coefficients accurately, we propose an empirical model to retrieve soil moisture for bare farmland only with co-polarized SAR data. The soil moisture can be obtained by solving an equation of HH and VV polarized data without any field measurements. Both simulated and real SAR data are used to validate the accuracy of the model. This method is especially effective in a large area where the surface roughness is difficult to be completely measured.

"High-throughput Experimental and Modeling Research toward Advanced Batteries"

1.Summary and Scope Advanced batteries play a key role in the development of portable and wearable electronics,electric and hybrid vehicles,smart grids and back-up power sources,and many more emerging applications.In most cases,exploration of new and alternative battery materials starts from known literature and follows time-consuming trial-and-error experimental

"High-throughput Experimental and Modeling Research toward Advanced Batteries"

1.Summary and Scope Advanced batteries play a key role in the development of portable and wearable electronics,electric and hybrid vehicles,smart grids and back-up power sources,and many more emerging applications.In most cases,exploration of new and alternative battery materials starts from known literature and follows time-consuming trial-and-error experimental or modeling approaches.The Materials Genome Initiative was

Estimation of Surface Soil Moisture from ASAR Dual-Polarized Data in the Middle Stream of the Heihe River Basin

In this paper, a new approach was introduced to estimate surface soil moisture using alternating polarization （AP） data of ad- vanced synthetic aperture radar （ASAR）. First, synthetic aperture radar （SAR） backscattering characteristic of bare surface at C band was simulated using advanced integrated equation model （AIEM）, and four bare surface backscattering models with different polarization were established. In addition, with simultaneous equations of the for- mer four formulas, the surface roughness was eliminated, and models used to estimate soil moisture on bare surface were derived from simulated multipolarization and multiangle ASAR-AP data. Based on these, the best combination of polarization and incident angle was determined. Finally, soil moisture in the middle stream of the Heihe River Basin was estimated. The field measured data demonstrated that the proposed method was capable of retrieving surface soil moisture for both sparse grassland and homogeneous farmland area.