Results 21 to 30 of about 1,024,956 (306)

The prospects for seasonal forecasting - A review paper

open access: yesQuarterly Journal of the Royal Meteorological Society, 1994
AbstractThe evidence for predictability of interannual fluctuations in the atmosphere and oceans is reviewed. The more linear nature of tropical dynamics is contrasted with the chaotic nature of extratropical circulations. The role of the largest interannual fluctuation, the El Niño Southern Oscillation, which has its origins in the tropical Pacific ...
Palmer, T, Anderson, D
openaire   +2 more sources

Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region [PDF]

open access: yesThe Cryosphere, 2022
Accurate and timely forecasts of sea ice conditions are crucial for safe shipping operations in the Canadian Arctic and other ice-infested waters. Given the recent declining trend of Arctic sea ice extent in past decades, seasonal forecasts are often ...
N. Asadi   +5 more
doaj   +1 more source

Seasonal Adjustment and Forecasting in the Presence of Trend [PDF]

open access: yesThe Computer Journal, 1967
A general linear statistical model for simultaneous seasonal adjustment and trend estimation is considered for one and two term deterministic trend functions. Explicit estimates of the parameters and variances are derived in a convenient computational form from which the properties of these estimates become apparent. In connection with possible uses of
openaire   +3 more sources

Better seasonal forecasts for the renewable energy industry [PDF]

open access: yes, 2020
Anomalous seasons such as extremely cold winters or low-wind summers can seriously disrupt renewable energy productivity and reliability. Better seasonal forecasts providing more accurate information tailored to stakeholder needs can help the renewable ...
Orlov, Anton   +5 more
core   +1 more source

A Generalized Bayesian Structural Time Series Framework for Forecasting Seasonal Data with Sparse Observations

open access: yesForecasting
This study proposes a Generalized Bayesian Structural Time Series (GBSTS) framework for forecasting seasonal time series with sparse observations. Rather than introducing new state-space components, the proposed framework systematically integrates ...
Autcha Araveeporn
doaj   +1 more source

PERBANDINGAN METODE SEASONAL ARIMA DAN EXTREME LEARNING MACHINE PADA PERAMALAN JUMLAH WISATAWAN MANCANEGARA KE BALI

open access: yesBarekeng, 2021
Bali Island of the Gods is one of the wealth of very popular tourist destinations and has the highest number of foreign tourists in Indonesia. It is very necessary to do more in-depth learning related to the projections or forecasting of foreign tourist ...
Bayu Galih Prianda, Edy Widodo
doaj   +1 more source

Seasonal Prior-Guided Dynamic Forecasting of Nonstationary Gridded PM2.5 Concentrations in China

open access: yesRemote Sensing
Accurate and timely short-term forecasting of gridded PM2.5 concentrations is essential for air-quality management and public health protection, especially for the growing elderly population who are particularly vulnerable to air pollution.
Haoze Shi   +7 more
doaj   +1 more source

Comparing the Forecasting Performance of Seasonal Arima and Holt -Winters Methods of Births at a Tertiary Healthcare Facility in Ghana

open access: yesJournal of Biostatistics and Epidemiology, 2019
Introduction: Studies have shown periodic variations in the number of births using different mathematical models. A study conducted at the Korle-Bu teaching hospital obtained Seasonal Autoregressive Integrated Moving Average (SARIMA) model on a monthly ...
George Aryee   +3 more
doaj   +1 more source

Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting [PDF]

open access: yes, 2008
Year-ahead forecasting of electricity prices is an important issue in the current context of electricity markets. Nevertheless, only one-day-ahead forecasting is commonly tackled up in previous published works.
Andrés M. Alonso   +8 more
core   +1 more source

Seasonal Asian Dust Forecasting Using GloSea5-ADAM

open access: yesAtmosphere, 2020
The springtime dust events in Northeast Asia pose many economic, social, and health-related risks. Statistical models in the forecasting of seasonal dust events do not fully account for environmental variations in dust sources due to climate change.
Sang-Boom Ryoo   +2 more
doaj   +1 more source

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