Results 121 to 130 of about 6,728 (212)
COVEN: Providing a Variety of Threshold‐Based Forecasts for the Outer Radiation Belt
Space Weather, Volume 24, Issue 6, June 2026.Abstract We present a suite of VAMPIRE (Van Allen belt Multi‐day Predictions by Implementing a Random Forest for Electrons) models capable of predicting if the outer radiation belt crosses set percentile thresholds. We use Random Forest classification models to predict if the daily ∼2 MeV electron flux level across the outer radiation belt exceeds ...
D. J. Weston +3 more
wiley +1 more source
A Mixed Frequency BVAR for the Australian Economy*
Economic Record, Volume 102, Issue 337, Page 182-207, June 2026.A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley +1 more source
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT The interaction between rainfall spatial–temporal variability and watershed response has been extensively studied in recent decades. Due to the influence of spatiotemporal non‐uniformity and variability in urban rainfall processes, the urban drainage system can exhibit different capabilities of handling flood risk.
Wenqi Wang +6 more
wiley +1 more source
Stochastic Simulation Model for Forecasting Index‐Linked Public Expenditure
Public Budgeting &Finance, Volume 46, Issue 2, Page 47-67, Summer 2026.Abstract This paper introduces a system dynamics (SD) model for analyzing public sector cost growth, where costs are tied to indices. The SD model isolates the effects of automatic indexation, providing probabilistic projections of expenditure growth. It enables testing of alternative indexation strategies and cost‐reduction measures. Findings show how
Miia Rissanen +2 more
wiley +1 more source
Nowcasting with Google Trends : a keyword selection method
, 2013 Search engines, such as Google, keep a log of searches entered into their websites. Google makes this data publicly available with Google Trends in the form of aggregate weekly search term volume.
Ross, Andrew
core
GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting
Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu +7 more
wiley +1 more source
Can confidence indicators be useful to predict short term manufacturing growth? [PDF]
In this study we investigate the usefulness of business survey data in forecasting Hungarian manufacturing output growth in the short run. We analyse the individual questions of the business surveys, and use models with different flexibility (factor ...
Ádám Reiff, Gábor Pula
core
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.Abstract Spaceborne radar systems such as the Global Precipitation Measurement Mission (GPM)'s core satellite Dual‐frequency Precipitation Radar (DPR) provide global insight into precipitation structure, storm morphology, and hydrological cycles. However, their limited spatial and temporal sampling and high cost constrain their ability to continuously ...
Florian Morvais, Chuntao Liu
wiley +1 more source
Deep learning model for heavy rainfall nowcasting in South Korea
Weather and Climate ExtremesAccurate nowcasting is critical for preemptive action in response to heavy rainfall events (HREs). However, operational numerical weather prediction models have difficulty predicting HREs in the short term, especially for rapidly and sporadically ...
Seok-Geun Oh +7 more
doaj +1 more source