Results 1 to 10 of about 3,413,140 (351)
Creating synthetic night-time visible-light meteorological satellite images using the GAN method [PDF]
arXiv, 2021 Meteorology satellite visible light images is critical for meteorology support and forecast. However, there is no such kind of data during night time. To overcome this, we propose a method based on deep learning to create synthetic satellite visible light images during night.
arxiv
Aerosol's optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study [PDF]
Atmospheric Chemistry and Physics, 2014 Dust aerosols are analyzed for their optical and physical properties during an episode of a dust storm that blew over Kuwait on 26 March 2003 when the military Operation Iraqi Freedom was in full swing.
T. M. Saeed, H. Al-Dashti, C. Spyrou
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Development of Contents on the Marine Meteorology Service by Meteorology and Climate Big Data
, 2016 Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and ...
H. Yoon
semanticscholar +1 more source
Water Science and Technology, 2022 Microplastic accumulation and resulting degradation are significant threats to the coastal ecosystems around the world. Baseline information on microplastics and their sources is of great importance for a permanent waste management system.
Mayakrishnan Machendiranathan +8 more
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AtmosphereThe Tarim Basin in the western part of Northwest China (NWC) is the largest inland basin in the world and one of the most arid regions in the middle latitudes.
Man Li +3 more
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A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs [PDF]
arXiv, 2023 The classification of weather data involves categorizing meteorological phenomena into classes, thereby facilitating nuanced analyses and precise predictions for various sectors such as agriculture, aviation, and disaster management. This involves utilizing machine learning models to analyze large, multidimensional weather datasets for patterns and ...
arxiv
Atmosphere, 2022 A hailstorm with an inclined structure occurred in the western part of the South China coast on 27 March 2020. This study investigates the detailed evolution characteristics of this inclined structure using the Doppler radar data assimilation system ...
Honghao Zhang +9 more
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The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction [PDF]
Environmental Modelling & Software, Volume 135, 2021, 104926, 2019 Accurate streamflow prediction largely relies on historical meteorological records and streamflow measurements. For many regions, however, such data are only scarcely available. Facing this problem, many studies simply trained their machine learning models on the region's available data, leaving possible repercussions of this strategy unclear.
arxiv +1 more source
IEEE Open Access Journal of Power and Energy, 2022 This paper presents a rolling horizon optimal energy management mechanism using real-time grid monitoring data. The proposed mechanism includes novel approaches in terms of real-time data processing, net-load forecasting, and optimal scheduling of ...
Mehdi Jalali, Omid Alizadeh-Mousavi
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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
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