Results 31 to 40 of about 2,350 (166)
Nowcasting Household Consumption and Investment in Indonesia
Buletin Ekonomi Moneter dan Perbankan, 2018 It is imperative for the Central Bank to know the current state of the economy as the basis underlying projections of future economic conditions. To that end, current economic conditions, in this case household consumption and investment, could be ...
. Tarsidin, . Idham, Robbi Nur Rakhman
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THE IMPACTS OF SPEECHES ON NOWCASTING GDP: A CASE STUDY ON EURO AREA MARKETS [PDF]
Financial Studies, 2021 The use of speech data in nowcasting models is a new topic while the use of sentiment and emotion indicators from microblogs and internet platforms in nowcasting models has been discussed in the literature.
Necmettin Alpay KOÇAK
doaj
Conference Report 2nd European Nowcasting Conference
Meteorologische Zeitschrift, 2018 The 2nd European Nowcasting Conference took place in Offenbach, Germany, on 3–5 May 2017. The conference was structured into four thematic sessions i) observations as basis for nowcasting, ii) nowcasting techniques and systems, iii) application, user ...
Kathrin Wapler +7 more
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Machine Learning Approach to Summer Precipitation Nowcasting over the Eastern Alps
Meteorologische Zeitschrift, 2020 This paper presents a new machine learning-based nowcasting model for hourly summer precipitation over the Eastern Alps. An artificial neural network (ANN) using the multi-layer perceptron algorithm was applied and evaluated against the Integrated ...
Linye Song +6 more
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Determining Number of Factors in Dynamic Factor Models Contributing to GDP Nowcasting
Mathematics, 2021 Real-time nowcasting is a process to assess current-quarter GDP from timely released economic and financial series before the figure is disseminated in order to catch the overall macroeconomic conditions in real time. In economic data nowcasting, dynamic
Jiayi Luo, Cindy Long Yu
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Remote Sensing(1) The aliasing of radial velocities from weather radars is a known challenge in meteorology. It may also occur during bird migration if the unambiguous velocity threshold is below the birds’ ground speed.
Nadja Weisshaupt +2 more
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Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow
Remote Sensing, 2023 Precipitation nowcasting is critical for preventing damage to human life and the economy. Radar echo tracking methods such as optical flow algorithms have been widely employed for precipitation nowcasting because they can track precipitation motions well.
Ji-Hoon Ha, Hyesook Lee
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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
Precipitation Nowcasting with Weather Radar Images and Deep Learning in São Paulo, Brasil
Atmosphere, 2020 Precipitation nowcasting can predict and alert for any possibility of abrupt weather changes which may cause both human and material risks. Most of the conventional nowcasting methods extrapolate weather radar echoes, but precipitation nowcasting is ...
Suzanna Maria Bonnet +2 more
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Frontiers in Environmental Science, 2023 High-resolution radar rainfall data have great potential for rainfall predictions up to 6 h ahead (nowcasting); however, conventional extrapolation approaches based on in-built physical assumptions yield poor performance at longer lead times (3–6 h ...
Kexin Zhu +22 more
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