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Evaluation of Statistical and Deep Learning Methods for Short-Term Weather Forecasting in Semi-arid Regions
Numerical methods represent a powerful tool for weather forecasting. However, they still face various limitations related to energy consumption and...
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Large-Scale Aspects of Tropical Weather Extremes
The current importance of attributing weather extremes to large-scale climate variations like the intraseasonal variability, El Niño, and the...
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Convective Storm VIL and Lightning Nowcasting Using Satellite and Weather Radar Measurements Based on Multi-Task Learning Models
Convective storms and lightning are among the most important weather phenomena that are challenging to forecast. In this study, a novel multi-task...
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A case study on more recent heat wave occurred in South Africa, based on background weather synoptic and dynamic characteristics analysis
This study investigates the characteristics of the more recent heat wave episode in South Africa during January 2023. The evaluation of several...
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A multi-model prediction system for ENSO
The El Niño and Southern Oscillation (ENSO) is the primary source of predictability for seasonal climate prediction. To improve the ENSO prediction...
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Incremental–decremental data transformation based ensemble deep learning model (IDT-eDL) for temperature prediction
Human life heavily depends on weather conditions, which affect the necessary operations like agriculture, aviation, tourism, industries, etc., where...
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Ship Weather Routing Based on Hybrid Genetic Algorithm Under Complicated Sea Conditions
Considering the effects of increased economic globalization and global warming, develo** methods for reducing ship** costs and greenhouse gas...
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Short to Medium Range Weather Forewarning System in India
India experiences several types of natural disasters including cyclones, floods, droughts, earthquakes, landslides, heat waves, cold waves, thunder...
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Numerical prediction of sporadic E layer occurrence using GAIA
A sporadic E layer has significant influence on radio communications and broadcasting, and predicting the occurrence of sporadic E layers is one of...
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STCANet: Spatiotemporal Coupled Attention Network for Ocean Surface Current Prediction
Currently, numerical models based on idealized assumptions, complex algorithms and high computational costs are unsatisfactory for ocean surface...
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Effect of GNSS radio occultation observations on the prediction of the 2021 Henan rainstorm
Accurately predicting heavy rainstorms remains challenging due to limited spatial and temporal measurements. Nowadays, space-borne Global Navigation...
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Machine learning prediction of climate-induced disaster injuries
The frequency of climate-induced disasters (CID) has exhibited a fivefold increase in the last five decades. In terms of CID global impact, around...
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An evaluation of the reliability of the Weather Research Forecasting (WRF) model in predicting wind data: a case study of Burundi
BackgroundThe Weather Research and Forecasting (WRF) Model is an exceptional software for mesoscale climate modeling. It is extensively used to...
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Weather Forecast and NWP
Weather forecast is a branch of the applied meteorology which studies the methods and techniques for prediction of the future state of the atmosphere...
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Impact of microphysics schemes on prediction of an extreme heavy rainfall event over the Democratic People’s Republic of Korea: a case study using WRF model
The Kumchon region on the midlands of the Korean peninsula experienced the extreme rainfall on 29 August 2018 during the East Asian Summer Monsoon....
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A hybrid of RainNet and genetic algorithm in nowcasting prediction
Quantitative precipitation nowcasting QPN is a powerful tool with many applications, such as rainfall prediction, urban sewage control, etc....
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Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network
Accurate prediction of reference evapotranspiration (ET o ) is crucial for many water-related fields, including crop modelling, hydrologic simulations,...
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Univariate Deep Learning models for prediction of daily average temperature and Relative Humidity: The case study of Chennai, India
AbstractAccurate weather forecasting plays a crucial component in everyday human life, especially in the agricultural and industrial sectors around...
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The anomalous weather parameters that lead to the extreme rainfall of Kerala in August 2018
Extremely heavy rainfall occurred over Kerala, southwest coast of India, during mid-August 2018 resulting in devastating floods. This flood may be...
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Quality of Local Scale Surface Weather Analogs in Two Climatologically and Geographically Distinct Mountainous Regions
An analog ensemble (AE) system is developed for realization of a set of several surface meteorological variables at three stations in the Senator...
