Results 101 to 110 of about 1,490 (205)

Convolutional LSTM network: A machine learning approach for precipitation nowcasting

open access: yes, 2015
The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have examined this crucial and challenging weather forecasting problem from the machine ...
Yeung, Dit Yan   +5 more
core  

A space-time geostatistical approach for ensemble rainfall nowcasting

open access: yesE3S Web of Conferences, 2016
Nowcasting systems are essential to prevent extreme events and reduce their socio-economic impacts. The major challenge of these systems is to capture high-risk situations in advance, with good accuracy, location and time.
Caseri A.   +3 more
doaj   +1 more source

Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique

open access: yesAtmosphere, 2018
Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications.
Ling Li   +7 more
doaj   +1 more source

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

open access: yesCoRR
Short-term precipitation nowcasting is an inherently uncertain and under-constrained spatiotemporal forecasting problem, especially for rapidly evolving and extreme weather events. Existing generative approaches rely primarily on visual conditioning, leaving future motion weakly constrained and ambiguous.
Xudong Ling   +5 more
openaire   +2 more sources

Improved thunderstorm weather information for pilots through ground and satellite based observing systems

open access: yes, 2010
Today’s weather information for pilots on thunderstorm conditions on their flight path is insufficient. Weather charts provided by the World Area Forecasting Centres and taken onboard by pilots before take-off are based on forecasts of large scale ...
Guillou, Yann   +5 more
core  

DB-RNN: An RNN for Precipitation Nowcasting Deblurring

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precipitation nowcasting based on artificial intelligence has garnered widespread attention in the meteorological and computer communities in recent years. While new models are continuously proposed to refresh the forecasting performance, the problem of gradual blurring of forecast maps as the forecast period extends is still serious.
Zhifeng Ma, Hao Zhang 0016, Jie Liu 0001
openaire   +2 more sources

Skilful precipitation nowcasting using deep generative models of radar. [PDF]

open access: yesNature, 2021
Ravuri S   +19 more
europepmc   +1 more source

Improved nowcasting of precipitation based on convective analysis fields [PDF]

open access: yes, 2007
The high-resolution analysis and nowcasting system INCA (Integrated Nowcasting through Comprehensive Analysis) developed at the Austrian national weather service provides three-dimensional fields of temperature, humidity, and wind on an hourly basis, and
T. Haiden   +3 more
core  

Performance of Met Office hourly cycling NWP-based nowcasting for precipitation forecasts

open access: yes, 2017
The Met Office developed a prototype high‐resolution, hourly‐cycling NWP forecasting system using four‐dimensional variational data assimilation, covering the southern half of England.
David Simonin   +9 more
core   +1 more source

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