A full ARMA model for counts with bounded support and its application to rainy-days time series
Sign Up to like & getrecommendations! Published in 2018 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-018-1584-3
Abstract: Motivated by a large dataset containing time series of weekly number of rainy days collected over two thousand locations across Europe and Russia for the period 2000–2010, we propose a new class of ARMA-like model… read more here.
Keywords: model; time series; rainy days; days time ... See more keywords
Research on highway rain monitoring based on rain monitoring coefficient
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DOI: 10.1038/s41598-024-53360-1
Abstract: The real-time and accurate monitoring of severe weather is the key to reducing traffic accidents on highways. Currently, rainy day monitoring based on video images focuses on removing the impact of rain. This article aims… read more here.
Keywords: rainy days; rain monitoring; model; monitoring ... See more keywords
Multivariate adjustment of drizzle bias using machine learning in European climate projections
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DOI: 10.5194/gmd-17-4689-2024
Abstract: Abstract. Precipitation holds significant importance as a climate parameter in various applications, including studies on the impacts of climate change. However, its simulation or projection accuracy is low, primarily due to its high stochasticity. Specifically,… read more here.
Keywords: climate; rainy days; machine learning; precipitation ... See more keywords