Search Results 1-20 of 66

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  • Evaluation and uncertainty investigation of the NO2, CO and NH3 modeling over China under the framework of MICS-Asia III

    Kong Lei , Tang Xiao , Zhu Jiang , Wang Zifa , Fu Joshua S. , Wang Xuemei , Itahashi Syuichi , Yamaji Kazuyo , Nagashima Tatsuya , Lee Hyo-Jung , Kim Cheol-Hee , Lin Chuan-Yao , Chen Lei , Zhang Meigen , Tao Zhining , Li Jie , Kajino Mizuo , Liao Hong , Wang Zhe , Sudo Kengo , Wang Yuesi , Pan Yuepeng , Tang Guiqian , Li Meng , Wu Qizhong , Ge Baozhu , Carmichael Gregory R.

    … Despite the significant progress in improving chemical transport models (CTMs), applications of these modeling endeavors are still subject to large and complex model uncertainty. … The Model Inter-Comparison Study for Asia III (MICS-Asia III) has provided the opportunity to assess the capability and uncertainty of current CTMs in East Asian applications. …

    Atmospheric Chemistry and Physics 20(1), 181-202, 2020-01-06


  • Resolution of Summertime East Asian Pressure Pattern and Southerly Monsoon Wind in CMIP5 Multi-model Future Projections

    OSE Tomoaki , TAKAYA Yuhei , MAEDA Shuhei , NAKAEGAWA Toshiyuki

    … <p>The southerly surface wind index over the summertime East Asia (SWI) is strengthened in the future in the fifth phase of the Coupled Model Intercomparison Project (CMIP5). … However, the differences among the models are much larger than the ensemble average. …

    Journal of the Meteorological Society of Japan. Ser. II 98(5), 927-944, 2020


  • Adaptive Personalized Multiple Machine Learning Architecture for Estimating Human Emotional States

    Matsufuji Akihiro , Sato-Shimokawara Eri , Yamaguchi Toru

    … Therefore, we proposed a multi-characteristic model architecture that combines personalized machine learning models and utilizes the prediction score of each model. … This architecture is formed with reference to an ensemble machine learning architecture. … In this study, we presented a method for calculating the weighted average in a multi-characteristic architecture by using the similarities between a new sample and the trained characteristics. …

    Journal of Advanced Computational Intelligence and Intelligent Informatics 24(5), 668-675, 2020


  • Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III - Part 1: Overview

    Li Jie , Nagashima Tatsuya , Kong Lei , Ge Baozhu , Yamaji Kazuyo , Fu Joshua S. , Wang Xuemei , Fan Qi , Itahashi Syuichi , Lee Hyo-Jung , Kim Cheol-Hee , Lin Chuan-Yao , Zhang Meigen , Tao Zhining , Kajino Mizuo , Liao Hong , Li Meng , Woo Jung-Hun , Kurokawa Jun-ichi , Wang Zhe , Wu Qizhong , Akimoto Hajime , Carmichael Gregory R. , Wang Zifa

    … Spatiotemporal variations of ozone (O3) and nitrogen oxide (NOx) mixing ratios from 14 state-of-the-art chemical transport models (CTMs) are intercompared and evaluated with O3 observations in East Asia, within the framework of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III). … This study was designed to evaluate the capabilities and uncertainties of current CTMs simulations for Asia and to provide multi-model estimates of pollutant distributions. …

    Atmospheric Chemistry and Physics 19(20), 12993-13015, 2019-10-21


  • MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia

    Chen Lei , Gao Yi , Zhang Meigen , Fu Joshua S. , Zhu Jia , Liao Hong , Li Jialin , Huang Kan , Ge Baozhu , Wang Xuemei , Lam Yun Fat , Lin Chuan-Yao , Itahashi Syuichi , Nagashima Tatsuya , Kajino Mizuo , Yamaji Kazuyo , Wang Zifa , Kurokawa Jun-ichi

    … A total of 14 chemical transport models (CTMs) participated in the first topic of the Model Inter-Comparison Study for Asia (MICS-Asia) phase III. … These model results are compared with each other and an extensive set of measurements, aiming to evaluate the current CTMs' ability in simulating aerosol concentrations, to document the similarities and differences among model performance, and to reveal the characteristics of aerosol components in large cities over East Asia. …

    Atmospheric Chemistry and Physics 19(18), 11911-11937, 2019-09-25


  • Multi-model evaluation of the sensitivity of the global energy budget and hydrological cycle to resolution

    松枝 未遠 , Benoît Vannière , Marie-Estelle Demory , Pier Luigi Vidale , Reinhard Schiemann , Malcolm J. Roberts , Christopher D. Roberts , Mio MATSUEDA , Laurent Terray , Torben Koenigk , Retish Senan

    … This study undertakes a multi-model comparison with the aim to describe and quantify systematic changes of the global energy and water budgets when the horizontal resolution of atmospheric models is increased and to identify common factors of these changes among models. …

    Climate dynamics 52(11), 6817-6846, 2019-06


  • Projection of future offshore wind resource in Japan based on multi-model ensemble  [in Japanese]

    ONOZAKI Hiromu , YOSHIDA Ryuhei , SHIMADA Susumu

    Proceedings of Japan Wind Energy Symposium 41(0), 195-198, 2019


  • Statistical Evaluation of Monthly Marine Surface Winds of CMIP6 GCMs in the western North Pacific


    … <p> For over years, fundamental component and dataset in climate projection had been covered by general circulation models (GCMs) output mainly from the Coupled Model Inter-comparison Project (CMIP). … RMSD and standard deviation on average is relatively similar for each GCM and ensemble. … Based on the findings, it can be concluded that the use of individual ensemble result from CMIP6 GCMs could result in serious bias. …

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 75(2), I_1219-I_1224, 2019


  • Predicting the local-scale spatial distribution of five megafaunal species associated with a deep-sea hydrothermal field in the Okinawa Trough, Japan

    Takeuchi Seiji , Nakajima Ryota , Yamakita Takehisa , Hoque Roxana , Miwa Tetsuya , Yamamoto Hiroyuki , Matsui Takaaki

    … We obtained species presence–absence and abiotic environmental data (water temperature, proportional coverage of soft-sediment area, water depth, and five bathymetric parameters) from observation records by deep-sea submersibles and conducted a spatial analysis using three types of statistical models and a multi-model ensemble forecasting method. …

    Plankton and Benthos Research 14(3), 150-160, 2019


  • Hi-resolution multi-ensemble statistical downscaling regional climate scenarios and CORDEX Asia ESD  [in Japanese]


    Multi-model ensemble regional climate scenarios with 1km horizontal grid-spacing over Japan are developed by using CMIP5 37 GCMs (RCP8.5) and a statistical downscaling (Bias Corrected Spatial Disaggregation (BCSD)) to investigate uncertainty of projected change associated with structural differences of the GCMs for the periods of historical climate (1950-2005) and near future climate (2026-2050). …

    Proceeding of Annual Conference 31(0), 12, 2018


  • Introducing Quantile Mapping to a Regression Model Using a Multi-Model Ensemble to Improve Probabilistic Projections of Monthly Precipitation

    Ishizaki Noriko N. , Dairaku Koji , Ueno Genta

    … <p>A new method was proposed for the probabilistic projection of future climate that introduced quantile mapping to a regression method using a multi-model ensemble (QM_RMME). … Conversely, when the model development and evaluation periods were limited to 20 years (1901–1920 and 1951–1970, respectively), the 90th percentile error was larger for QM_RMME. …

    Journal of Disaster Research 13(5), 873-878, 2018


  • Interannual Variability of the Winter North Atlantic Storm Track in CMIP5 Models

    Yang Minghao , Zuo Ruiting , Wang Liqiong , Chen Xiong , Tan Yanke , Li Xin

    … <p>Based on 55-yr output data from the historical runs of twelve Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) models and a NCEP (National Centers for Environmental Prediction) reanalysis, we evaluate the capability of those models to simulate the interannual variability of the winter North Atlantic storm track (WNAST). …

    SOLA 14(0), 74-78, 2018


  • Near Coastal Ocean Variability Affecting Radionuclide Dispersion Simulation and Their Reproducibility in Numerical Models  [in Japanese]

    Masumoto Yukio , Tsumune Daisuke , Guo Xinyu , Uchiyama Yusuke , Miyazawa Yasumasa

    … Near coastal ocean processes are considered in terms of their roles in 137Cs dispersion and their reproducibility in numerical models, through a model intercomparison for the Fukushima Daiichi case and scenario experiments in regions near Ikata and Hamaoka. … The extent to which each model reproduces the key processes also differed significantly among the models. …

    Bulletin on Coastal Oceanography 54(2), 151-157, 2017


  • Statistical evaluation of future soil moisture changes in East Asia projected in a CMIP5 multi-model ensemble

    Nakaegawa Tosiyuki

    … The results of a multi-model ensemble (MME) analysis showed significant increases in surface soil moisture in one northwestern inland area, and significant decreases were projected in two inland areas in southern and northern China. …

    Hydrological Research Letters 11(1), 37-43, 2017


  • Regional probabilistic climate projection for Japan with a regression model using multi-model ensemble experiments

    N. Ishizaki Noriko , Dairaku Koji , Ueno Genta

    … A regression model was established so that the combination of coefficients of the GCMs reflects the characteristics of the variation of observations at each grid point. … We adopted the elastic net penalty to estimate the regression model, considering model projection similarities. …

    Hydrological Research Letters 11(1), 44-50, 2017


  • Probabilistic regional climate projection in Japan using multi-model ensemble  [in Japanese]

    Ishizaki Noriko , Dairaku Koji , Ueno Genta

    … <br><br>We<br>have developed a statistical downscaling method for estimating probabilistic<br>regional climate projection using multi general circulation models (GCMs). … A<br>regression model was established so that the combination of weight of GCMs reflects<br>the characteristics of the variation of observation at each grid point. … Cross<br>validation was conducted to validate the stochastic model. …

    Proceeding of Annual Conference 29(0), 9, 2016


  • Development of probabilistic regional climate scenario in East Asia  [in Japanese]

    Dairaku Koji , Ueno Genta , Ishizaki Noriko

    … In order to develop probabilistic regional climate information that represents the uncertainty in climate scenario experiments in East Asia (CORDEX-EA), the probability distribution of 2m air temperature was estimated by using developed regression model. … The prototype of probabilistic information in CORDEX-EA and Japan represent the quantified structural uncertainties of multi-model ensemble experiments of climate change scenarios. …

    Proceeding of Annual Conference 29(0), 3, 2016


  • Extreme precipitations and their relationship with temperature over Japan  [in Japanese]

    NAYAK Sridhara , DAIRAKU Koji , ISHIZAKI Noriko , TAKAYABU Izuru , SUZUKI-PARKER Asuka

    … In our study, we analyzed multi-model experiment results to investigate the individual model behavior as well as the model uncertainty in reproducing the extreme precipitations and their relationship with temperature. … Simulated relationship of extreme precipitations with temperature from ensemble experiments agrees well with the observation that a peak occurs around 19-22°C for all percentiles of extreme precipitation. …

    Proceeding of Annual Conference 29(0), 11, 2016


  • Hybrid N-S/DSMC Simulations of HTV Main Engine Plume Impingement to the ISS  [in Japanese]

    Tani Hiroumi , Ohmaru Tetsufumi , Takata Shinichi , Uematsu Hirohiko , Matsuura Mayumi , Daimon Yu , Negishi Hideyo

    シミュレーション 34(3), 186-192, 2015-09

    NDL Digital Collections 

  • Vulnerability and Adaptation to Climate Change in Water Hazard Assessed Using Regional Climate Scenarios in the Tokyo Region  [in Japanese]

    Dairaku Koji , Yamagata Yoshiki

    シミュレーション 34(2), 85-89, 2015-06

    NDL Digital Collections 

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