Results 61 to 70 of about 1,500 (207)
Weather, EarlyView.The English language is a gargantuan, gluttonous beast. It has become extraordinary in its powers of assimilation – such that we rarely consider the origins of the words we use. In this paper, we will shed light on these origins, including the Pontic–Caspian steppe, the British Empire and, of course, a TV show.
Kieran M. R. Hunt
wiley +1 more source
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG
CoRR, 2021 41 Pages, 18 ...
Mohammad Reza Ehsani +4 more
openaire +2 more sources
Nowcasting and forecasting thunderstorms for air traffic with an integrated forecast system based on observations and model data [PDF]
, 2009 This study presents the concept and first results of the Weather Forecast User Oriented System Including Object Nowcasting (WxFUSION), an integrated system using observations and numerical model data to nowcast and forecast weather hazards for air ...
Tafferner, Arnold, Forster, Caroline
core
Atmosphere, 2022 Since strong convective weather is closely related to heavy precipitation, the nowcasting of convective weather, especially the nowcasting based on weather radar data, plays an essential role in meteorological operations for disaster prevention and ...
Xunlai Chen +6 more
doaj +1 more source
Observation‐Driven Correction of Numerical Weather Prediction for Marine Winds
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, heterogeneous, and temporally variable. We present an observation‐informed correction approach for global numerical weather prediction (NWP) of marine winds.
Matteo Peduto +4 more
wiley +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
TITAN‐LSTM: A Weather Radar Nowcasting Tool
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Precipitation nowcasting is essential for a wide range of meteorological and hydrological applications, and weather radar plays a central role in this task. Extrapolation algorithms such as TITAN (Thunderstorm Identification, Tracking, Analysis and Nowcasting) provide efficient storm tracking but do not directly use rainfall rate fields, while
Andrea S. Viteri López +1 more
wiley +1 more source
Estimating the uncertainty of areal precipitation using data assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2019 We present a method to estimate spatially and temporally variable uncertainty of areal precipitation data. The aim of the method is to merge measurements from different sources, remote sensing and in situ, into a combined precipitation product and to ...
C. Merker +3 more
doaj +1 more source
Cultural geography of heat: Artistic experiments with heat’s animacies
Geographical Research, Volume 64, Issue 3, August 2026.A sustained, cultural geographical engagement with heat is long overdue. I advance this agenda by engaging with the work of contemporary artists. Artists are responding to uneven conditions of global heating by exploring heat’s animacies: how heat interweaves with the practices and textures of life.
Sasha Engelmann
wiley +1 more source