Results 41 to 50 of about 53,937 (302)
Atmosphere, 2023 Hybrid data assimilation (DA) methods have received extensive attention in the field of numerical weather prediction. In this study, a hybrid gain data assimilation (HGDA) method that combined the gain matrices of ensemble and variational methods was ...
Xin Xia +8 more
doaj +1 more source
, 2022 Weather forecasting is the application of science and technology to forecast the weather in a specific location. It is one of the world's most challenging problems. In this paper we are reviewing the various research paper to know the different types of technique, methods and algorithm are used to predict the weather.
Ajeet Kumar, Avinash Yadav
openaire +2 more sources
Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model
Remote Sensing, 2019 In the Arctic, weather forecasting is one element of risk mitigation, helping operators to have knowledge on weather-related risk in advance through forecasting capabilities at time ranges from a few hours to days ahead. The operational numerical weather
Roger Randriamampianina +2 more
doaj +1 more source
Applications of Kalman filters based on non-linear functions to numerical weather predictions [PDF]
Annales Geophysicae, 2006 This paper investigates the use of non-linear functions in classical Kalman filter algorithms on the improvement of regional weather forecasts. The main aim is the implementation of non linear polynomial mappings in a usual linear Kalman filter in ...
G. Galanis +7 more
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Remote Sensing, 2021 The scope of this work was to evaluate simulated carbon monoxide (CO) and aerosol optical depth (AOD) from the CAM-chem model against observed satellite data and additionally explore the empirical relationship of CO, AOD and fire radiative power (FRP ...
Débora Souza Alvim +12 more
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International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Climatological Behavior of Precipitating Clouds in the Northeast Region of Brazil
Advances in Meteorology, 2017 This study aims to analyze the climatological classification of precipitating clouds in the Northeast of Brazil using the radar on board the Tropical Rainfall Measuring Mission (TRMM) satellite.
Rayana Santos Araújo Palharini +1 more
doaj +1 more source
Atmosphere, 2020 Significant progress in tornado research and management can be claimed over the last few decades worldwide. However, tornado forecasting and warning continue to be permanent challenges for most European national meteorological services because they ...
Simona Andrei +4 more
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Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain [PDF]
Earth System Science Data, 2019 To provide better and more robust estimates of evaporation and snowmelt in a changing climate, hydrological and ecological modeling practices are shifting towards solving the surface energy balance.
H. B. Erlandsen +4 more
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Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs [PDF]
arXiv, 2023 Weather forecasting is an essential task to tackle global climate change. Weather forecasting requires the analysis of multivariate data generated by heterogeneous meteorological sensors. These sensors comprise of ground-based sensors, radiosonde, and sensors mounted on satellites, etc., To analyze the data generated by these sensors we use Graph ...
arxiv