Results 71 to 80 of about 3,271,202 (325)

Statistical Downscaling of Urban-scale Air Temperatures Using an Analog Model Output Statistics Technique

Atmosphere, 2019
This study was conducted to evaluate the suitability of an analog model output statistics (MOS) downscaling technique for urban-scale meteorology research and compares this MOS-Analog technique with the sliding window technique.
Yire Shin, Chaeyeon Yi
doaj   +1 more source

Optical Chaos Generation and Applications

Advanced Photonics Research, EarlyView.
This review comprehensively examines optical chaos generation via feedback, injection, and optoelectronic methods, emphasizing bandwidth enhancement and time‐delay suppression. Applications include chaos‐synchronized secure communication, physical random number generation, chaotic lidar for cm‐level detection, distributed fiber sensing, and terahertz ...
Wenhui Chen, Xiaoxin Mao, Junli Wang, Rong Zhang, Longsheng Wang, Zhiwei Jia, Pu Li, Anbang Wang, Yuncai Wang   +8 more
wiley   +1 more source

EVALUATION OF THE SPATIAL DISTRIBUTION OF EVACUATION CENTERS IN METRO MANILA, PHILIPPINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In a densely populated and hazard-prone megalopolis like Metro Manila, the ability to execute a rapid evacuation protocol is crucial in saving lives and minimizing the damage during disastrous events.
E. P. Cajucom, E. P. Cajucom, G. Y. Chao Jr., G. Y. Chao Jr., G. A. Constantino, G. A. Constantino, J. A. Ejares, S. J. G. Quillope, S. J. G. Quillope, H. M. Solomon, H. M. Solomon, C. L. Ringor   +11 more
doaj   +1 more source

The Observed Impact of the South Asian Summer Monsoon on Land-Atmosphere Heat Transfers and Its Inhomogeneity over the Tibetan Plateau

Remote Sensing, 2022
To promote Tibetan meteorological research, the third Tibetan Plateau (TP) Experiment for atmospheric sciences (TIPEX III) has been carried out over the plateau region since 2014, with near-surface heat fluxes measured at different sites.
Hongyi Li, Libo Zhou, Ge Wang
doaj   +1 more source

OPERANDUM Training Materials: Nature-based Solutions for Hydro-Meteorological Hazards

, 2022
The OPERANDUM training materials aim to emphasize the knowledge generated through the EU-funded OPERANDUM project and promote the uptake of Nature-based Solutions for hydro-meteorological hazards in Europe and beyond. Embedded in a series of training units, the materials address common knowledge gaps and highlight lessons learned from the NBS co ...
openaire   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

Celebrating COMET’s 25 Years of Providing Innovative Education and Training

, 2015
The Cooperative Program for Operational Meteorology, Education, and Training (COMET)’s mission when it began in 1990 was to deliver professional development opportunities to U.S.
V. Johnson, R. Jeffries, G. Byrd, Wendy Schreiber-Abshire, E. Page, Bruce Muller, Timothy L. Alberta   +6 more
semanticscholar   +1 more source

Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data

Complex, 2020
Today, artificial intelligence and deep neural networks have been successfully used in many applications that have fundamentally changed people’s lives in many areas.
Zao Zhang, Yuan Dong
semanticscholar   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

Advanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio, Isaac Segovia Ramírez, Fausto Pedro García Márquez   +2 more
wiley   +1 more source