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A Study on Retrieving Atmospheric Profiles from EOS/AIRS Observations

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Acta meteorologica Sinica 2005年第1期19卷 112-119页

作者：官莉 allen huang 李俊 Department of Electronic Engineering Nanjing University ofInformation Science & Technology Nanjing 210044 China University of Wisconsin Madison WI 53705 USA

The paper presents the algorithms for retrieving atmospheric temperature andmoisture profiles and surface skin temperature from the high-spectral-resolution AtmosphericInfrared Sounder (AIRS) with a statistical technique based on principal component analysis. Thesynthetic regression coefficients for the statistical retrieval are obtained by using a fastradiative transfer model with atmospheric characteristics taken from a dataset of global radiosondesof atmospheric temperature and moisture profiles. Retrievals are evaluated by comparison withradiosonde observations and European Center of Medium-Range Weather Forecasts (ECMWF) analyses. AIRSretrievals of temperature and moisture are in general agreement with the distributions from ECMWFanalysis fields and radiosonde observations, but AIRS depicts more detailed structure due to itshigh spectral resolution (hence, high vertical spatial resolution).

关键词： AIRS (Atmospheric Infrared Sounder) principal component regression atmospheric profile retrieval

Assimilation of atmospheric infrared sounder radiances with WRF-GSI for improving typhoon forecast

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Frontiers of Earth Science 2018年第3期12卷 457-467页

作者： Yan-An LIU Zhibin SUN Maosi CHEN Hung-Lung allen huang Wei GAO Key Laboratory of Geographic Information Science (Ministry of Education) East China Normal University Shanghai 200241 China School of Geographic Sciences East China Normal University Shanghai 200241 China ECNU-CSU Joint Research Institute for New Energy and the Environment East China Normal University Shanghai 200062 China Joint Laboratory for Environmental Remote Sensing and Data Assimilation East China Normal University Shanghai 200241 China Natural Resource Ecology Laboratory Colorado State University Fort Collins CO 80523 United States Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison Madison WI 53706 United States

The Atmospheric Infrared Sounder （AIRS） can provide the profile information on atmospheric temperature and humidity in high vertical resolution. The assimilation of its radiances has been proven to improve the Numerical Weather Prediction （NWP） in global models. In this study, regional assimilation of AIRS radiances was carried out in a community assimilation system, using Gridpoint Statistical Interpolation （GSI） coupled with the Weather Research and Forecasting （WRY） model. The AIRS channel selection, quality control, and radiances bias correction were examined and illustrated for optimized assimilation. The bias correction scheme in the regional model showed that corrections on most of the channels produce satisfactory results except for several land surface channels. The assimilation and forecast experiments were carried out for three typhoon cases （Saola, Damrey, and Haikui in 2012） with and without including AIRS radiances. Results show that the assimilation of AIRS radiances into the WRF/GSI model improves both the typhoon track and intensity in a 72-hour forecast.

关键词： AIRS WRF/GSI model radiance assimilation typhoon forecast

Studies on TOP executive performance evaluation system of Chinese listed companies

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Journal of Harbin Institute of Technology(New Series) 2004年第6期11卷 671-674页

作者：王德武姜国庆姜硕 huang allen R School of Management Shenyang University of Technology Shenyang 110023 China Griffith University Australia

According to the development status of Chinese listed companies, it is important to implement a stock option incentive plan for the top executives (TE) of the companies. It is necessary to establish a set of indices to evaluate a top executive’s performance and award performance-based stock options to them scientifically and reasonably. This thesis sets indices from the perspective of the top executive’s behaviour and results, which differs from the traditional methods performance evaluation.

关键词： performance evaluation indices set behaviour and result

Analysis of spatio-temporal variability of aerosol optical depth with empirical orthogonal functions in the Changjiang River Delta, China

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Frontiers of Earth Science 2015年第1期9卷 1-12页

作者： Tianyong ZHAI Qing ZHAO Wei GAO Runhe SHI Weining XIANG Hung-lung allen huang Chao ZHANG Key Laboratory of qeographic Information Science (Minislay of Education) East China Normal University Shanghai 200062 China Joint Laboratory for Environmental Remote Sensing and Data Assimilation ECNU&CEODE Shanghai 200062 China Colorado State University Natural Resource Ecology Laboratory Fort Collins Colorado 80521 USA Shanghai Key Laboratory for Urban Ecology and Sustainability East China Normal University Shanghai 200062 China University of Wisconsin-Madison Cooperative Institute for Meteorological Satellite Studies (CIMSS) Madison Wisconsin 53706 USA

This work aims to analyze the spatial and temporal variability of aerosol optical depth （AOD） from 2000 to 2012 in the Changjiang River Delta （CRD）, China. US Terra satellite moderate resolution imaging spectroradiometer （MODIS） AOD and Angstrom exponent （a） data constitute a baseline, with the empirical orthogonal functions （EOFs） method used as a major data analysis method. The results show that the maximum value of AOD observed in June is 1.00±0.12, and the lowest value detected in December is 0.40±0.05. AOD in spring and summer is higher than in autumn and winter. On the other hand, the a-value is lowest in spring （0.86±0.10）, which are affected by coarse particles. High a-value appears in summer （1.32±0.05）, which indicate that aerosols are dominated by fine particles. The spatial distribution of AOD has a close relationship with terrain and population density. Generally, high AODs are distributed in the lowlying plains, and low AODs in the mountainous areas. The spatial and temporal patterns of seasonal AODs show that the first three EOF modes cumulatively account for 77% of the total variance. The first mode that explains 67% of the total variance shows the primary spatial distribution of aerosols, i.e., high AODs are distributed in the northern areas and low AODs in the southern areas. The second mode （7%） shows that the monsoon climate probably plays an important role in modifying the distribution of aerosols, especially in summer and winter. In the third mode （3%）, this distribution of aerosols usually occurs in spring and winter when the prevailing northwestern or western winds could bring aerosol particles from the inland areas into thecentral regions of the CRD.

关键词： AOD MODIS EOFs Angstrom exponent,Changjiang River Delta

The Accounting and Economic Effects of Currency Translation Standards： AASB 1012 vs. AASB 121

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Journal of Modern Accounting and Auditing 2012年第11期8卷 1601-1610页

作者： allen huang Svetlana Vlady Griffith University Queensland Australia

This paper1 empirically examines the accounting and the economic effects of foreign exchange rate fluctuations on the oil and gas industry under the former and the current translation accounting standards in Australia. Due to the unique features of the oil and gas industry and based on an analysis of the former standard-Australian Accounting Standards Board （AASB） 1012, the authors predict that a positive translation adjustment （the accounting effect） is associated with a loss, instead of a creation of the firm value （the economic effect） under AASB 1012. The authors also predict that the new standard AASB 121, adapted from the International Accounting Standard （IAS） 21 with modifications, will report translation adjustments that are consistent with the economic effects. By using Australia-based multinational oil and gas firms, the authors find that translation adjustments under AASB 1012 are inversely associated with firm value and that the relationship changes to a positive one under AASB 121. This study concludes that the new standard has the potential to improve the quality of the translation accounting information.

关键词： foreign currency translation translation gain/loss value relevance oil and gas industry

The Impact of the GST on Mortgage Yield Spreads of Australian Building Societies

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Journal of Modern Accounting and Auditing 2011年第9期7卷 986-993页

作者： Liu Benjamin huang allen Griffith University Australia

Australia has experienced significant rises in mortgage costs and sharp declines in housing affordability in the last few decades, particularly since it implemented a new tax system of Goods and Services Tax （GST） in July 2000. Prior research has attempted to examine the influence of the GST on general price levels, but little research effort has been directed to investigate the impact of the GST on mortgage costs. Using proprietary data of major building societies in Australia for 36 months, this paper examines the changes of mortgage yield spreads in the pre-and post-GST periods for building societies. Results suggest that the lenders significantly increased their mortgage charges in the post-GST periods, For example, the increase is found to be, on average, 59.0 basis points which are much higher than that of banks.

关键词： Australian GST mortgage costs mortgage yield spreads building societies

Analysis of air quality variability in Shanghai using AOD and API data in the recent decade

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Frontiers of Earth Science 2013年第2期7卷 159-168页

作者： Qing ZHAO Wei GAO Weining XIANG Runhe SHI Chaoshun LIU Tianyong ZHAI Hung-lung allen huang Liam E. GUMLEY Kathleen STRABALA Key Laboratory of Geographic Information Science (Ministry of Education) East China Normal University Shanghai 200062 China Joint Laboratory for Environmental Remote Sensing and Data Assimilation ECNU&CEODE Colorado State University Shanghai 200062 China Colorado State University Natural Resource Ecology Laboratory Fort Collins Colorado 80521 USA Shanghai Key Laboratory for Urban Ecology and Sustainability East China Normal University Shanghai 200062 China University of Wisconsin-Madison Cooperative Institute for Meteorological Satellite Studies (CIMSS) Madison Wisconsin 53706 USA

We use the aerosol optical depth （AOD） measured by the moderate resolution imaging spectrometer （MOD1S） onboard the Terra satellite, air pollution index （API） daily data measured by the Shanghai Environmental Monitoring Center （SEMC）, and the ensemble empirical mode decomposition （EEMD） method to analyze the air quality variability in Shanghai in the recent decade. The results indicate that a trend with amplitude of 1.0 is a dominant component for the AOD variability in the recent decade. During the World Expo 2010, the average AOD level reduced 30% in comparison to the long-term trend. Two dominant annual components decreased 80% and 100%. This implies that the air quality in Shanghai was remarkably improved, and environmental initiatives and comprehensive actions for effective. AOD and API reducing air pollution are variability analysis results indicate that semi-annual and annual signals are dominant components implying that the monsoon weather is a dominant factor in modulating the AOD and API variability. The variability of AOD and API in selected districts located in both downtown and suburban areas shows similar trends; i.e., in 2000 the AOD began a monotonic increase, reached the maxima around 2006, then monotonically decreased to 2011 and from around 2006 the API started to decrease till 2011. This indicates that the air quality in the entire Shanghai area, whether urban or suburban areas, has remarkably been improved. The AOD improved degrees （IDS） in all the selected districts are （8.6±1.9）%, and API IDS are （9.2±7.1）%, ranging from a minimum value of 1.5% for Putuo District to a maximum value of 22% for Xuhui District.

关键词： air quality of Shanghai MODIS AOD API EEMD method World Expo 2010

Quickly obtaining densely dispersed coherent particles in steel matrix and its related mechanical property

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 111-118页

作者： Xiaoxiao Wang Qingsong huang School of Chemical Engineering Sichuan UniversityChengdu 610065China

Densely distributed coherent nanoparticles(DCN)in steel matrix can enhance the work-hardening ability and ductility of steel *** the routes to this end can be generally classified into the liquid-solid route and the solid-solid ***,the formation of DCN structures in steel requires long processes and complex *** far,obtaining steel with coherent particle enhancement in a short time remains a bottleneck,and some necessary steps remain ***,we show a high-efficiency liquid-phase refining process reinforced by a dynamic magnetic ***-Y-Mn-O particles had an average size of around(3.53±1.21)nm and can be obtained in just around 180 *** small nanoparticles were coherent with the matrix,implying no accumulated dislocations between the particles and the steel *** findings have a potential application for improving material machining capacity,creep resistance,and radiation resistance.

关键词： ferritic steels coherent particles microstructure compression test work hardening

Local-contrastive-learning machine with both generalization and adversarial robustness: A statistical physics analysis

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 109-123页

作者： Mingshan Xie Yuchen Wang Haiping huang PMI Lab School of Physics Sun Yat-sen University Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices Sun Yat-sen University

Distinct from human cognitive processing, deep neural networks trained by backpropagation can be easily fooled by adversarial examples. To design a semantically meaningful representation learning, we discard backpropagation, and instead, propose a local contrastive learning, where the representations for the inputs bearing the same label shrink(akin to boson) in hidden layers,while those of different labels repel(akin to fermion). This layer-wise learning is local in nature, being biologically plausible.A statistical mechanics analysis shows that the target fermion-pair-distance is a key parameter. Moreover, the application of this local contrastive learning to MNIST benchmark dataset demonstrates that the adversarial vulnerability of standard perceptron can be greatly mitigated by tuning the target distance, i.e., controlling the geometric separation of prototype manifolds.

关键词： machine learning statistical mechanics adversarial robustness neural networks