Results 21 to 30 of about 3,649,707 (385)
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks [PDF]
AAAI Conference on Artificial Intelligence, 2020 Accurate and timely air quality and weather predictions are of great importance to urban governance and human livelihood. Though many efforts have been made for air quality or weather prediction, most of them simply employ one another as feature input ...
Jindong Han +4 more
semanticscholar +1 more source
Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study [PDF]
Atmospheric Chemistry and Physics, 2015 Dust aerosols affect human life, ecosystems, atmospheric chemistry and climate in various aspects. Some studies have revealed intensified dust activity in the western US during the past decades despite the weaker dust activity in non-US regions.
M. Huang +8 more
doaj +1 more source
Weather prediction using random forest machine learning model
Indonesian Journal of Electrical Engineering and Computer Science, 2021 The complex numerical climate models pose a big challenge for scientists in weather predictions, especially for tropical system. This paper is focused on presenting the importance of weather prediction using machine learning (ML) technique. Recently many
R. Meenal +3 more
semanticscholar +1 more source
应用气象学报, 2021 Regional persistent heat event is extensively studied and its intensity is normally investigated from the view of regional average. Climatic characteristics of persistent heat event in 4 regions in the eastern China are analyzed on the basis of ...
Lin Ailan +4 more
doaj +1 more source
npj Climate and Atmospheric Science, 2022 The Indo-Pacific warm pool (IPWP), which affects the global climate system through supporting tropical convection, has been reported to expand significantly under greenhouse warming. Although early research revealed that the sea surface temperature (SST)
Jeremy Cheuk-Hin Leung +5 more
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Survey on the Application of Deep Learning in Extreme Weather Prediction
Atmosphere, 2021 Because of the uncertainty of weather and the complexity of atmospheric movement, extreme weather has always been an important and difficult meteorological problem.
Wei Fang +3 more
semanticscholar +1 more source
Comparing daytime, equatorial E×B drift velocities and TOPEX/TEC observations associated with the 4-cell, non-migrating tidal structure [PDF]
Annales Geophysicae, 2009 We investigate the seasonal and longitude dependence of the daytime, vertical E×B drift velocities, on a day-to-day basis, using a recently-developed technique for inferring realistic E×B drifts from ground-based magnetometer observations.
D. Anderson +4 more
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European Journal of Remote Sensing, 2023 The geometric and polarimetric characteristics of the melting layer (ML) during the pre-summer rainy season over South China (PRSC) are investigated from 389 S-band polarimetric radar volume scans. The existing ML detection algorithm is slightly improved,
Hong Wang +3 more
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Journal of Advances in Modeling Earth Systems, 2020 Numerical weather prediction has traditionally been based on the models that discretize the dynamical and physical equations of the atmosphere. Recently, however, the rise of deep learning has created increased interest in purely data‐driven medium‐range
S. Rasp, Nils Thuerey
semanticscholar +1 more source