Time Series Analysis of Global Climate Change
A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Weather and Forecasting".
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 9618
Special Issue Editor
Interests: climate change; cointegration; Granger causality; time series; vector autoregressive models
Special Issue Information
Dear Colleagues,
This Special Issue aims to promote the use of time series methods for the statistical analysis of climate data, with particular emphasis on the detection and attribution of climate change. Detection refers to the statistical assessment of the significance and relevance of the change occurring in the climate system, or in a natural or human system affected by climate. Attribution aims to quantify the links between observed climate variation and both human and natural drivers of change (anthropogenic forcing, solar variations, and volcanic eruptions).
We solicit the submission of papers that capture the essential features of climate series, such as possible non-stationarity, nonlinearity, seasonality, and cycles (for instance, related to transitory phenomena such as volcanic eruptions or the El Niño Southern Oscillation). We also welcome submissions in the field of attribution of climate change highlighting interesting statistical challenges to which time series methods can contribute. A further aim is to establish and to evaluate methods for predicting temperature trends and global sea level rise or other climate variables. Accurate and reliable decadal prediction is crucial for feeding impact models and correctly quantifying the real consequences on territories and ecosystems in the near future.
Prof. Umberto Triacca
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- climate change
- forecasting
- global warming
- neural networks
- time series methods
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