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2023: Weather and Climate Extremes Hitting the Globe with Emerging Features
Globally, 2023 was the warmest observed year on record since at least 1850 and, according to proxy evidence, possibly of the past 100 000 years. As...
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Sensitivity of horizontal grid resolution on the simulation of thunderstorms over Bangladesh using Weather Research Forecasting Model
Thunderstorms are a weather phenomenon characterized by lightning, thunder, and precipitation, and in Bangladesh, they are a common occurrence with...
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Multiple dimensions of extreme weather events and their impacts on biodiversity
Climate change is a multidimensional phenomenon. As such, no single metric can capture all trajectories of change and associated impacts. While...
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Analysis and Forecasting of High-Impact Weather Systems in East Asia Using Numerical Models
We reviewed a range of studies to deepen our understanding and predict the occurrence of high-impact weather systems in East Asia using numerical... -
Machine Learning Weather Analogs for Near-Surface Variables
Numerical weather prediction models and high-performance computing have significantly improved our ability to model near-surface variables, but their...
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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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The influence of future weather pattern changes and projected sea-level rise on coastal flood impacts around the UK
When local extreme water levels surpass defences, the consequences can be devastating. We assess the importance of sea-level rise and future weather...
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Numerical Simulation of Horizontal Convective Rolls Over a Tropical Coastal Site Using WRF: Sensitivity to Land Surface Physics
Horizontal convective rolls (HCR) are sub-mesoscale motions that influence the transport of heat, momentum, and pollutants within the boundary layer....
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On Trends in the Health Risks from Air Pollution and in Changing Levels of Weather and Climate Comfort in Russia until 2050
AbstractThe authors explore the trends in the human health risks caused by air pollution and changing levels of weather and climate comfort on the...
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Relationships between Terrain Features and Forecasting Errors of Surface Wind Speeds in a Mesoscale Numerical Weather Prediction Model
Numerical weather prediction (NWP) models have always presented large forecasting errors of surface wind speeds over regions with complex terrain. In...
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Physics-informed loss functions for vertical total electron content forecast
We design physics-informed loss functions for training Artificial Neural Network (ANN) models to forecast the ionospheric vertical Total Electron...
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Improved forecasting via physics-guided machine learning as exemplified using “21·7” extreme rainfall event in Henan
As a natural disaster, extreme precipitation is among the most destructive and influential, but predicting its occurrence and evolution accurately is...
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Meteorological and Weather Elements
Meteorology is a science that studies the Earth’s atmosphere, its structure, composition, characteristics, as well as processes and phenomena that... -
Forecast accuracy and physics sensitivity in high-resolution simulations of precipitation events in summer 2022 by the Korean Integrated Model
The precipitation prediction of the Korean Integrated Model (KIM) is evaluated over South Korea for the summer season of July–August 2022, and key...
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Electrical Characteristics of Thunderstorms Under Different Weather Conditions in the Kashmir Valley, India
Surface measurements of the atmospheric electric field at the University of Kashmir, Srinagar (34° 13′ N, 74° 83′ E, 1585 m amsl) and Gulmarg (34°...
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Localized prediction of rainfall over Odisha using multiple physics ensemble approach
Accurate prediction of rainfall at a local scale with a higher temporal resolution with adequate lead time is a major challenge for the dynamical...
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Study of Geoelectrical Responses to Space Weather Anomalies: Auroral Latitudes, Yenisei-Khatanga Regional Trough
Abstract —The paper presents the results of analysis of the geoelectric (telluric) field variability during the Earth’s magnetic field disturbances,...
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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... -
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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Spatial Variability of Nocturnal Stability Regimes in an Operational Weather Prediction Model
Forecast errors in near-surface temperatures are a persistent issue for numerical weather prediction models. A prominent example is warm biases...