Results 21 to 30 of about 6,728 (212)
The Journal of Computational Finance, 2021 his article has been accepted for publication in Journal of Computational Finance, publishedby Incisive Media ...
Chataigner, Marc +2 more
openaire +3 more sources
Nowcasting of rainfall based on extrapolation and evolution algorithms. Preliminary results [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2018 Forecasts from nowcasting models are increasingly becoming a crucial input to the rainfall-runoff models. A basic approach to the nowcast generation is based on extrapolation (advection) of current precipitation field.
Mateusz Giszterowicz +2 more
doaj +1 more source
A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform [PDF]
Hydrology and Earth System Sciences, 2017 In this paper we present a non-stationary stochastic generator for radar rainfall fields based on the short-space Fourier transform (SSFT). The statistical properties of rainfall fields often exhibit significant spatial heterogeneity due to ...
D. Nerini +6 more
doaj +1 more source
npj Climate and Atmospheric Science, 2023 The behaviour of severe thunderstorms, particularly supercells, in complex terrain is still poorly understood. Utilising 6 years of radar-, lightning- and radiosounding-based thunderstorm data in the domain of the Swiss radar network, we study different ...
Monika Feldmann +3 more
doaj +1 more source
SSRN Electronic Journal, 2013 info:eu-repo/semantics ...
Luciani, Matteo, Ricci, Lorenzo
openaire +3 more sources
A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Fine-scale wind field nowcasting is of great significance in air traffic management, power grid operation, and so on. In this article, an indirect wind field nowcasting scheme based on lidar observation is presented, which contains an encoder-forecaster ...
Hang Gao +7 more
doaj +1 more source
Unraveling hydrometeor mixtures in polarimetric radar measurements [PDF]
Atmospheric Measurement Techniques, 2018 Radar-based hydrometeor classification typically comes down to determining the dominant type of hydrometeor populating a given radar sampling volume. In this paper we address the subsequent problem of inferring the secondary hydrometeor types present ...
N. Besic +8 more
doaj +1 more source
Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach [PDF]
Atmospheric Measurement Techniques, 2016 Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations.
N. Besic +5 more
doaj +1 more source
Atmosphere, 2021 Multi-source meteorological data can reflect the development process of single meteorological elements from different angles. Making full use of multi-source meteorological data is an effective method to improve the performance of weather nowcasting. For
Fuhan Zhang, Xiaodong Wang, Jiping Guan
doaj +1 more source
Estimating underdiagnosis of COVID-19 with nowcasting and machine learning
Revista Brasileira de Epidemiologia, 2021 : Objective: To analyze the underdiagnosis of COVID-19 through nowcasting with machine learning in a Southern Brazilian capital city. Methods: Observational ecological design and data from 3916 notified cases of COVID-19 from April 14th to June 2nd ...
Leandro Pereira Garcia +10 more
doaj +1 more source