Results 11 to 20 of about 2,350 (166)

Unraveling hydrometeor mixtures in polarimetric radar measurements [PDF]

open access: yesAtmospheric 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]

open access: yesAtmospheric 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

A Novel Multi-Input Multi-Output Recurrent Neural Network Based on Multimodal Fusion and Spatiotemporal Prediction for 0–4 Hour Precipitation Nowcasting

open access: yesAtmosphere, 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

Nowcasting Japan's GDP

open access: yesSSRN Electronic Journal, 2020
This paper backtests a nowcast of Japan's real GDP growth. It has three contributions: (i) use of genuine real-time data, (ii) implementation of a new method for the revision analysis that relates the revision of the nowcast to not only new observations but also data revisions, and (iii) a benchmarking of the nowcast to a market consensus forecast at ...
Fumio Hayashi, Yuta Tachi
openaire   +2 more sources

Estimating underdiagnosis of COVID-19 with nowcasting and machine learning

open access: yesRevista 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

Quality‐based compositing of weather radar derived precipitation

open access: yesMeteorological Applications, 2020
The paper is focused on the problem of weather radar precipitation compositing and aims to produce the data for the whole measurement domain in a way that ensures the quality of the composite is as high as possible.
Anna Jurczyk   +2 more
doaj   +1 more source

Anthropogenic Illumination as Guiding Light for Nocturnal Bird Migrants Identified by Remote Sensing

open access: yesRemote Sensing, 2022
Migrant birds rely on environmental and celestial cues for navigation and orientation during their journeys. Adverse weather, such as heavy rain or fog, but also thick layers of low-level clouds, affect visibility and can challenge birds’ ability to ...
Nadja Weisshaupt   +3 more
doaj   +1 more source

RN-Net: A Deep Learning Approach to 0–2 Hour Rainfall Nowcasting Based on Radar and Automatic Weather Station Data

open access: yesSensors, 2021
Precipitation has an important impact on people’s daily life and disaster prevention and mitigation. However, it is difficult to provide more accurate results for rainfall nowcasting due to spin-up problems in numerical weather prediction models ...
Fuhan Zhang   +4 more
doaj   +1 more source

Radar rainfall nowcasting and flood forecasting based on deep learning

open access: yesShui kexue jinzhan, 2023
To explore the applicability of deep learning methods to radar rainfall nowcasting and flood forecasting, U-Net, Attention-Unet and TransAtt-Unet are used to carry out rainfall nowcasting.
Jianzhu LI   +3 more
doaj   +1 more source

Advances of precipitation nowcasting and its application in hydrological forecasting

open access: yesShui kexue jinzhan, 2020
With the global climate change and the imbalance of the ecological environment, extreme weather frequently occurs and presents multi-scale temporal and spatial variability characteristics.
Jia LIU   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy