Article
Transportation Science & Technology
Abhinav Subramanian, Sankaran Mahadevan
Summary: This study aims to improve aircraft trajectory prediction accuracy by representing model errors as additional external inputs and using Bayesian state estimation to evaluate and correct these errors.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Meteorology & Atmospheric Sciences
Yuchao Zhu, Rong-Hua Zhang, Delei Li, Dake Chen
Summary: The study found thermocline biases in the tropical North Pacific in CMIP6 models, with a pronounced bias in the northeastern tropics, primarily due to deficiencies in simulating surface wind stress curl and oceanic background diffusivity.
JOURNAL OF CLIMATE
(2021)
Article
Computer Science, Interdisciplinary Applications
Abhinav Subramanian, Sankaran Mahadevan
Summary: The paper presents a methodology for predicting dynamic system response using data from tests on different experimental configurations. The model form errors are estimated for the experimental configuration and propagated to the prediction configuration.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Computer Science, Artificial Intelligence
Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao
Summary: The shared state space model (SSSM) introduces shared background information behind multiple sequences into the prediction model, improves model accuracy by extracting shared information and utilizing state space model for prediction.
Article
Mathematics, Applied
Anna Krakovska, Stefan Pocos, Karolina Mojzisova, Iveta Betkova, Jakub Xaver Gubas
Summary: The study aimed to determine the best reconstruction method when the quality of prediction of the studied observable is the criterion. Different reconstruction methods were tested, and it was found that the numerical estimates were almost the same, but the prediction results were significantly influenced by the type of reconstruction.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Meteorology & Atmospheric Sciences
Minghao Yang, Chongyin Li, Xiong Chen, Yanke Tan, Xin Li, Chao Zhang, Guiwan Chen
Summary: The majority of CMIP6 models perform well in capturing the spatial distribution characteristics of climatological eddy heat flux. NorESM2-LM and CESM2-WACCM demonstrate relatively strong capability in reproducing the climatological amplitude of eddy heat flux. Compared with CMIP5 models, the intermodel spread of eddy heat flux climatology is smaller in CMIP6 models, and their multimodel ensemble is closer to the NCEP reanalysis.
JOURNAL OF CLIMATE
(2021)
Article
Transportation Science & Technology
Miguel A. Lopez-Carmona, Alvaro Paricio Garcia
Summary: This paper investigates the use of multiple-input single-output prediction models in controlling evacuation processes. Through data analysis of microscopic evacuation simulations, it is found that the prediction error minimization algorithm performs the best and that nonlinear state-space modeling does not improve prediction performance. The study suggests that modeling the inner state of the evacuation process and modeling pedestrian inflow can positively influence the prediction performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Biodiversity Conservation
Alexander Kumar, Marketa Zimova, Thomas E. Martin, L. Scott Mills
Summary: Ecological processes are influenced by abiotic factors, such as temperature and snow. This study found that reduced fall and spring snow duration and warmer summers led to decreased snowshoe hare density, while warmer winters increased hare density.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Shuaiqi Tang, Peter Gleckler, Shaocheng Xie, Jiwoo Lee, Min-Seop Ahn, Curt Covey, Chengzhu Zhang
Summary: The evaluation of the diurnal and semidiurnal cycle of precipitation simulated by CMIP6 models showed some biases compared to satellite products, but improvements in delaying afternoon precipitation over land compared to CMIP5 models. Additionally, encouraging consistency was found between satellite- and ground-based precipitation measurements, providing confidence in their use in evaluating the precipitation cycle in climate models.
JOURNAL OF CLIMATE
(2021)
Article
Meteorology & Atmospheric Sciences
Giovanni Sgubin, Didier Swingedouw, Leonard F. Borchert, Matthew B. Menary, Thomas Noel, Harilaos Loukos, Juliette Mignot
Summary: Decadal Climate Predictions (DCP) have the potential to be effectively applied to targeted problems, with the study finding intermittent larger predictability conditions around the 1960s and after the 1980s. Systematic analysis shows that longer forecast periods generally imply better prediction skill, with the best predicted months mainly falling between late spring and early autumn.
Article
Meteorology & Atmospheric Sciences
Yanda Zhang, Thomas R. Knutson, Elena Shevliakova, David Paynter
Summary: This study compares historical trends in precipitation and temperature over global land regions with simulations from two climate models. The models underestimate precipitation trends in the extratropical Northern Hemisphere and the differences between models and observations may be due to the effects of aerosols and greenhouse gases. Additionally, the higher sensitivity model simulates stronger temperature and precipitation increases north of 45°N, suggesting that underestimated greenhouse gas-induced warming may also contribute to the modeled biases in precipitation trends.
JOURNAL OF CLIMATE
(2023)
Article
Automation & Control Systems
Naipeng Li, Yaguo Lei, Nagi Gebraeel, Zhijian Wang, Xiao Cai, Pengcheng Xu, Biao Wang
Summary: This article proposes a multi-sensor data-driven RUL prediction method for semi-observable systems, leveraging degradation information from online multi-sensor signals as well as offline state observations. The method is developed based on a generalizable state-space model combined with a particle filtering framework, and an algorithm named prioritized sensor group selection is introduced to select the optimal sensor group for RUL prediction, demonstrating its effectiveness in an experiment of cutting tool wear.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Geosciences, Multidisciplinary
Swen Brands
Summary: This article introduces the ability of global climate models to reproduce regional atmospheric circulation types, and finds significant similarities between models through pattern correlation matrix. These similarities, which are largely unrelated to model performance, can be used as statistical dependency weights.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Transportation
Zied Bouyahia, Hedi Haddad, Stephane Derrode, Wojciech Pieczynski
Summary: Efficient and accurate prediction of traffic state is crucial for intelligent transportation systems. This paper proposes a novel prediction algorithm based on the Conditionally Gaussian Observed Markov Fuzzy Switching Model (CGOMFSM). By explicitly incorporating fuzzy switching processes, the algorithm improves the accuracy of traffic prediction. The experimental study demonstrates satisfactory results for a 60-minute prediction horizon.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Fenghua Ling, Jing-Jia Luo, Yue Li, Tao Tang, Lei Bai, Wanli Ouyang, Toshio Yamagata
Summary: This study challenges the long-standing problem of IOD prediction and proposes a multi-task deep learning model called MTL-NET. The model outperforms world-class dynamical models in predicting IOD and correctly captures the non-linear relationships between IOD and predictors.
NATURE COMMUNICATIONS
(2022)
Article
Agriculture, Multidisciplinary
Jose Eduardo Boffino de Almeida Monteiro, Eduardo Delgado Assad, Paulo Cesar Sentelhas, Letcia da Costa Azevedo
PESQUISA AGROPECUARIA BRASILEIRA
(2017)
Article
Biodiversity Conservation
Aliny P. F. Pires, Camila L. Rezende, Eduardo D. Assad, Rafael Loyola, Fabio R. Scarano
PERSPECTIVES IN ECOLOGY AND CONSERVATION
(2017)
Article
Agriculture, Multidisciplinary
Raquel Stucchi Boschi, Felipe Ferreira Bocca, Maria Leonor Ribeiro Casimiro Lopes-Assad, Eduardo Delgado Assad
Article
Meteorology & Atmospheric Sciences
Jose Ruy Porto de Carvalho, Eduardo Delgado Assad, Silvio Roberto Medeiros Evangelista, Hilton da Silveira Pinto
ATMOSPHERIC RESEARCH
(2013)
Article
Environmental Sciences
Fabio R. Marin, James W. Jones, Abraham Singels, Frederick Royce, Eduardo D. Assad, Giampaolo Q. Pellegrino, Flavio Justino
Article
Environmental Sciences
Bernardo B. N. Strassburg, Agnieszka E. Latawiec, Luis G. Barioni, Carlos A. Nobre, Vanderley P. da Silva, Judson F. Valentin, Murilo Vianna, Eduardo D. Assad
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2014)
Article
Agriculture, Multidisciplinary
Jose Ruy Porto de Carvalho, Eduardo Delgado Assad, Hilton Silveira Pinto
PESQUISA AGROPECUARIA BRASILEIRA
(2012)
Article
Agriculture, Multidisciplinary
Jose Eduardo Boffino de Almeida Monteiroto, Leticia da Costa Azevedo, Eduardo Delgado Assad, Paulo Cesar Sentelhas
PESQUISA AGROPECUARIA BRASILEIRA
(2013)
Article
Agriculture, Multidisciplinary
Eduardo Delgado Assad, Susian Christian Martins, Napoleao Esberard de Macedo Beltrao, Hilton Silveira Pinto
PESQUISA AGROPECUARIA BRASILEIRA
(2013)
Article
Environmental Sciences
Marcio A. S. Santos, Eduardo D. Assad, Angelo C. Gurgel, Nizam Omar
Article
Ecology
J. D. Groppo, S. R. M. Lins, P. B. Camargo, E. D. Assad, H. S. Pinto, S. C. Martins, P. R. Salgado, B. Evangelista, E. Vasconcellos, E. E. Sano, E. Pavao, R. Luna, L. A. Martinelli
Proceedings Paper
Engineering, Electrical & Electronic
R. Scrivani, R. R. V. Goncalves, L. A. S. Romani, S. R. M. Oliveira, E. D. Assad
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
(2014)
Review
Meteorology & Atmospheric Sciences
Jose Ruy Porto de Carvalho, Eduardo Delgado Assad, Aryeverton Fortes de Oliveira, Hilton Silveira Pinto
WEATHER AND CLIMATE EXTREMES
(2014)
Article
Ecology
E. D. Assad, H. S. Pinto, S. C. Martins, J. D. Groppo, P. R. Salgado, B. Evangelista, E. Vasconcellos, E. E. Sano, E. Pavao, R. Luna, P. B. Camargo, L. A. Martinelli
Article
Environmental Studies
Camila Linhares Rezende, Joana Stingel Fraga, Juliana Cabral Sessa, Gustavo Vinagre Pinto de Souza, Eduardo Delgado Assad, Fabio Rubio Scarano
Article
Meteorology & Atmospheric Sciences
Vittal Hari, Oldrich Rakovec, Wei Zhang, Akash Koppa, Matthew Collins, Rohini Kumar
Summary: This study reveals a significant association between the Atlantic Meridional Mode (AMM) and temperature variability in the eastern European region. Positive AMM phase leads to a significant increase in temperature, while negative phase has the opposite effect. The AMM modulates the temperature through planetary-scale Rossby waves and anomalous anticyclone circulation.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Fang Cao, Yi-Xuan Zhang, Yan-Lin Zhang, Wen-Huai Song, Yu-Xian Zhang, Yu-Chi Lin, Chaman Gul, Md. Mozammel Haque
Summary: This study investigates the influences of continental emissions on marine aerosols in the Yellow Sea and Bohai Sea of China. The results show that biomass burning is the major contributor to organic aerosols in these marine atmospheres.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chenxi Liao, Wenhua Gao, Lanzhi Tang, Chengyin Li
Summary: Based on ERA5 data, this study analyzed the characteristics of four hydrometeors and their relationship with precipitation intensity in central eastern China and the northwest Pacific Ocean. The results show that stratiform precipitation is dominated by ice processes, while convective precipitation has comparable contributions from water and ice processes.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Hsiang-Yu Huang, Sheng-Hsiang Wang, William K. M. Lau, Shih-Yu Simon Wang, Arlindo M. da Silva
Summary: This study presents a diagnostic analysis of the interannual variation of regional climate and its impact on biomass burning aerosol emissions in peninsular Southeast Asia (PSEA). It identifies four climatic factors governing the emission and transport of PSEA biomass burning aerosols and reveals a significant correlation with the El Nin similar to o-Southern Oscillation (ENSO). The results contribute to a better understanding and improved model simulations of aerosol-climate interactions in South and Southeast Asian monsoon regions.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Deniz H. Diren-Ustuen, Yurdanur S. Unal, Simge Irem Bilgen, Cemre Yuruk Sonuc, Sahar Sodoudi, Caner Guney, Ahmet Ozgur Dogru, Selahattin Incecik
Summary: This is the first comprehensive study to examine how urbanization affects the microclimate of Istanbul using the urban climate model MUKLIMO_3. The findings suggest that changing the albedo of roofs and implementing green-roofs can significantly reduce air temperatures in urban areas.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Yetong Li, Yan Xia, Fei Xie, Yingying Yan
Summary: Surface ozone, a major air pollutant, is influenced by stratosphere-troposphere exchange (STE) which contributes to both the decrease and increase of surface ozone in the Southern and Northern Hemispheres, respectively. Additionally, global warming is expected to worsen surface ozone pollution in the future.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Na Li, Ping Zhao, Changyan Zhou
Summary: In this study, the daily sensible and latent heat fluxes in the Tibetan Plateau are estimated using the maximum entropy production model. The results show good performance of the model and reveal the spatial distribution and trends of surface heat fluxes in the region.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wenqing Lin, Huopo Chen, Weiqi Wang, Dawei Zhang, Fan Wang, Wuxia Bi
Summary: It is found in this study that anthropogenic activities may significantly contribute to the decrease in snowfall days, light snowfall, and light snowfall days across Eurasia, with greenhouse gas emissions being the main driver. However, detection of human influence is challenging for intense snowfall.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chongxun Mo, Xingbi Lei, Xixi Mo, Ruli Ruan, Gang Tang, Lingguang Li, Guikai Sun, Changhao Jiang
Summary: Reliable precipitation information is crucial for scientific and operational applications. Open-access gridded precipitation products (OGPPs) are important sources due to their continuous spatiotemporal coverage. This study proposes a methodology to comprehensively compare the accuracies and stabilities of ten different OGPPs, particularly in mountainous basins. The results show high accuracy but unstable performance of all OGPPs, with multi-source fusion-type products offering better stability and accuracy. Multi-source weighted-ensemble precipitation and climate prediction center morphing method products exhibit the best comprehensive performance.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Jingzhuo Wang, Hanbin Zhang, Jing Chen, Guo Deng, Yu Xia
Summary: In this study, a new scale-blending technique was proposed to evaluate the impact of multiscale initial perturbations on the CMA-CPEPS. The results showed that the blended scheme improved the dispersion of dynamical variables and increased the ensemble spread of precipitation, leading to reduced forecast error.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Ziyi Song, Botao Zhou, Xinping Xu, Zhicong Yin
Summary: This study, based on reanalysis data from 1980 to 2019, reveals that the relationship between autumn sea ice concentration in the Barents-Kara Seas (BKSIC) and subsequent winter North Atlantic Oscillation (NAO) underwent an interdecadal weakening in the early 1990s. The weakening can be attributed to the decrease in the interannual variability of BKSIC, which leads to a discrepancy in the tropospheric warming. In the former period (1980-1993), the decrease in autumn BKSIC enhances tropospheric warming and weakens the circumpolar westerly, resulting in a negative NAO phase. However, in the latter period (1994-2019), the smaller interannual variability of BKSIC weakens its influence on the tropospheric temperature, diluting the relationship with the subsequent winter NAO.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wogu Zhong, Zhiwei Wu
Summary: Significant phase shifts in winter surface air temperature (SAT) anomalies have occurred in East Asia in recent years, leading to detrimental effects on socio-economic activities. In this study, the fourth principal mode of month-to-month SAT variations over EA in winter was identified, representing subseasonal SAT reversals over the mid-high latitudes of EA during late winter. The formation of this mode is accompanied by stratospheric temperature anomalies over eastern Siberia-Alaska in January.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Weiqian Ji, Leiku Yang, Xinyao Tian, Muhammad Bilal, Xin Pei, Yu Zheng, Xiaofeng Lu, Xiaoqian Cheng
Summary: This study systematically evaluated the AOD products of the DB and MAIAC algorithms based on MODIS over bright surfaces, and investigated the underestimation of AOD affected by various factors. The results indicated that the MAIAC products performed better than DB, and the C6.1 MAIAC showed slight improvement compared to C6.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Tao Wang, Xiaohua Gou, Xuejia Wang, Hongwen Liu, Fei Xie
Summary: This study finds that the meridional position of subtropical jet anomalies has shifted equatorward in both the Northern Hemisphere and Southern Hemisphere since the 1960s due to the influence of ENSO. The changes in tropical SST anomalies associated with ENSO contribute to this equatorward shift.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Alireza Ghaderi Bafti, Arman Ahmadi, Ali Abbasi, Hamid Kamangir, Sadegh Jamali, Hossein Hashemi
Summary: Actual evapotranspiration (ETa) plays a crucial role in the water and energy cycles of the earth. This study develops an automated deep learning model for accurate estimation of ETa using image processing, architectural design, and hyper-parameter tuning. The proposed model shows promising results in different climatic regions, highlighting its potential for enhanced atmospheric research.
ATMOSPHERIC RESEARCH
(2024)