Results 101 to 110 of about 6,728 (212)

The Toll Index: Innovation-based Economic Telemetry [PDF]

We present the operationalized Toll Index, which is a new type of early indicator for the German business cycle. We present the basic idea and document the power of the indicator for the purpose of nowcasting.
Zimmermann, Klaus F., Askitas, Nikos
core  

Three‐Year Characterization of Boundary Layer Dynamics From GNSS Zenith Wet Delay Spectral Analysis

Atmospheric Science Letters, Volume 27, Issue 6, June 2026.
Three years of GNSS zenith wet delay observations at Payerne reveal that spectral parameters—cutoff frequency α and variance σ2—capture robust seasonal cycles in boundary layer turbulence (R2 = 0.54 for α). Their inverse coupling tightens to r = −0.82 under summer convection, encoding regime‐dependent physics.
Gaël Kermarrec, Xavier Calbet, Zhiguo Deng   +2 more
wiley   +1 more source

A Convolutional Neural Network‐Based Model for Precipitation Nowcasting Leveraging Data From Gauge Stations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Rainfall nowcasting, the short‐term prediction of precipitation, is a vital component of early warning systems aimed at mitigating the effects of extreme weather events. In this study, we develop a deep learning approach based on convolutional neural networks (CNNs) for rainfall nowcasting and train it exclusively on data from rain gauge ...
Fereshteh Taromideh, Giovanni Francesco Santonastaso, Mehdi Masoodi, Andrea Cominola, Roberto Greco   +4 more
wiley   +1 more source

Cb Nowcasting in FLYSAFE : Improving flight safety regarding thunderstorm hazards

, 2009
The FLYSAFE Project aims at defining and testing new tools and systems contributing to the safety of flights for all aircraft, and addresses weather hazards. A “Weather Information Management System” dedicated to thunderstorm hazard has been designed and
Guillou, Yann, Tafferner, Arnold, Sénési, Stéphane, Forster, Caroline   +3 more
core  

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Enhanced oceanic fog nowcasting through satellite-based recurrent neural networks

Big Earth Data
The presence of fog in offshore regions poses significant hazards to navigation and aviation, making fog nowcasting indispensable for various industries, including oil and gas.
Sahel Mahdavi, Meisam Amani, Terry Bullock, Steven Beale   +3 more
doaj   +1 more source

Tracking India Growth in Real Time. [PDF]

Tracking growth in the Indian economy would be best performed using a measure like GDP. Unfortunately official estimates of this indicator are released with quarterly frequency and with considerable delay.
Veronese, Giovanni, Pandey, Radhika, Bhattacharya, Rudrani   +2 more
core  

Advance flood inundation model toward flood nowcasting: a review [PDF]

, 2022
Link to publisher's homepage at http://ijneam.unimap.edu.myFlood nowcasting is a short time prediction (usually less than 3 h) of the spatial and temporal evolution of flood inundation.
Luo, Pingping, Muhammad Azraie, Abdul Kadir, Masiri, Kaamin, Mohd Remy Rozainy, Mohd Arif Zainol, Sharifah Nurul Huda, Syed Yahya   +4 more
core  

Self‐Supervised Radar Nowcasting of Typhoon Cloud Evolution

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Self‐supervised learning (SSL) provides an innovative paradigm for pretraining without involving any new data or labels. However, its potential has not yet been evaluated in the field of typhoon raincloud nowcasting. Therefore, we explore two different SSL approaches: autoencoder (AE) and masked autoencoder (MAE).
Hongyi Yao, Ji Chen, Yi Lu, Xunlai Chen, Wai‐kin Wong, Chao Tan, Hongxu Zhu, Xianqi Jiang   +7 more
wiley   +1 more source

COMPARATIVE ANALYSIS OF TWO-STEP AND QUASI MAXIMUM LIKELIHOOD ESTIMATION IN THE DYNAMIC FACTOR MODEL FOR NOWCASTING GDP GROWTH IN INDONESIA

Barekeng
Economic activity data is needed quickly to make policy decisions, but this data suffers from publication delays. Gross Domestic Product (GDP) data is released within five weeks after the end of the quarter.
Gilbert Alvaro Souisa, Reyner M. Leiwakabessy, Salma Damayanti, Mohammad Zanuar F Terim, Shelma M Pelu   +4 more
doaj   +1 more source