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Verification of a global weather forecasting system for decision-making in farming over Africa
In the framework of AfriCultuReS project, operational deterministic weather forecasts provide valuable information on the expected weather conditions...
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Strategy analysis of the extrapolation adjusted by model prediction (ExAMP) blending scheme for rainfall nowcasting
The strategies of the extrapolation adjusted by model prediction (ExAMP) blending scheme, which trusts the field pattern predicted by extrapolation...
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Parameterized Forward Operators for Simulation and Assimilation of Polarimetric Radar Data with Numerical Weather Predictions
Many weather radar networks in the world have now provided polarimetric radar data (PRD) that have the potential to improve our understanding of...
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Performance of numerical weather prediction models in predicting track of recurving cyclone Vayu over Arabian Sea during June 2019
AbstractA tropical cyclone (TC) Vayu developed over the Arabian Sea during June, 2019. It followed a northward track from southeast Arabian Sea to...
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Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction
Land subsidence is a hazardous phenomenon that requires accurate prediction to mitigate losses and prevent casualties. This study explores the...
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Forecasting of Severe Weather Events Over India
Forecasting severe weather events is of immense value since it can help alleviate (if not mitigate) the disastrous impacts to a certain extent. While...
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Evaluating Short-Range Forecasts of a 12 km Global Ensemble Prediction System and a 4 km Convection-Permitting Regional Ensemble Prediction System
Information regarding the uncertainty associated with weather forecasts, particularly when they are related to a localized area at convective scales,...
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Estimation of missing weather variables using different data mining techniques for avalanche forecasting
The availability of continuous weather data is essential in many applications such as the study of hydrology, glaciology, and modelling of extreme...
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An Initial Perturbation Method for the Multiscale Singular Vector in Global Ensemble Prediction
Ensemble prediction is widely used to represent the uncertainty of single deterministic Numerical Weather Prediction (NWP) caused by errors in...
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Severe Convective Weather Forecast Using Machine Learning Models
This work developed models, based on machine learning, for severe convective weather forecasts characterized by remotely sensed atmospheric...
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Automation of takeoff data for aviation services using self-supervised LSTM approaches with time-series prediction
Landing and takeoff are the most crucial phases of any flight; in particular, the takeoff configuration of an aircraft is a delicate balance between...
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Very Short-term Prediction of Weather Radar-Based Rainfall Distribution and Intensity Over the Korean Peninsula Using Convolutional Long Short-Term Memory Network
Rain is one of the most important atmospheric phenomena that is directly related to ecosystems and human lives. Numerous meteorological organizations...
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Role of high-resolution modeling system in prediction of heavy rainfall events over Tamil Nadu and Kerala on different global/regional datasets
The present study explored the numerical studies on forecast capabilities of the Advanced Research version of WRF (ARW) modeling system in the...
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Prediction of Zonal Wind Using Machine Learning Algorithms: Implications to Future Projections of Indian Monsoon Jets
Weather forecasting is predicting the state of the atmosphere for a given location and time, and it depends on many meteorological parameters, which...
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System of Multigrid Nonlinear Least-squares Four-dimensional Variational Data Assimilation for Numerical Weather Prediction (SNAP): System Formulation and Preliminary Evaluation
A new forecasting system—the System of Multigrid Nonlinear Least-squares Four-dimensional Variational (NLS-4DVar) Data Assimilation for Numerical...
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A New Hybrid Machine Learning Model for Short-Term Climate Prediction by Performing Classification Prediction and Regression Prediction Simultaneously
Machine learning methods are effective tools for improving short-term climate prediction. However, commonly used methods often carry out...
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Challenges in Predicting Extreme Weather Events Over the South Asian Region
The South Asian region is prone to extreme weather annually resulting in loss of lives and damage to the properties. While some people have...
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Evaluation of a weather forecasting model and HEC-HMS for flood forecasting: case study of Talesh catchment
Reports demonstrate that floods are among the most prevalent and deadliest natural disasters affecting 520 million people annually. The present study...
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High-impact weather in Italy: a workshop to exchange the experience of weather forecasters and researchers
A workshop on high-impact meteorological events in Italy was jointly organized by the newly formed Italia Meteo Agency (AIM) and the Italian...
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Intercomparison of two model climates simulated by a unified weather-climate model system (GRIST), part I: mean state
This study made an intercomparison of two model climates, simulated by a unified weather-climate model system (GRIST), under the Atmospheric Model...
