Special Issue "New Advances in Forecasting Rainfall with Time Series Model"

A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Weather and Forecasting".

Deadline for manuscript submissions: 28 February 2022.

Special Issue Editors

Dr. Cristian Rodriguez Rivero
E-Mail Website
Guest Editor
Faculty of Science, University of Amsterdam, 1012 WX Amsterdam, The Netherlands
Interests: forecasting bayesian learning; optimization deep learning
Special Issues and Collections in MDPI journals
Dr. Leonardo Franco
E-Mail Website
Guest Editor
Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain
Interests: artificial intelligence; deep learning; neural networks; data mining; smart sensors; time series forecasting
Special Issues and Collections in MDPI journals
Dr. Julian Antonio Pucheta
E-Mail Website
Guest Editor
LIMAC Laboratory, Universidad Nacional de Córdoba, Velez Sarsfield Ave., Cordoba 1611, Argentina
Interests: neurocontrollers; data modeling; time series forecasting; dynamic process modelling
Special Issues and Collections in MDPI journals
Dr. Hector Daniel Patino
E-Mail Website
Guest Editor
Instituto de Automática, Universidad Nacional de San Juan, Av. San Martín Oeste 1109, San Juan 5400, Argentina
Interests: computational intelligence applied to automation and robotics; optimal control based on adaptive dynamic programming; modeling and prediction of time series; weather modification
Special Issues and Collections in MDPI journals
Dr. Alvaro David Orjuela-Cañón
E-Mail Website
Guest Editor
School of Medicine and Health Sciences, Universidad del Rosario, Bogotá D.C., Colombia
Interests: artificial intelligence; data modeling; computational intelligence in time series forecasting; fuzzy logic; UAV
Prof. Dr. Gustavo E. Juárez
E-Mail Website
Guest Editor
Faculty of Exact Sciences and Technology, Universidad Nacional de Tucumán, San Miguel de Tucumán, Argentina
Interests: artificial intelligence; data modelling; computational intelligence in time series forecasting; fuzzy logic; UAV

Special Issue Information

Dear Colleagues,

We invite you to submit your last research on the topic of New Advances in Forecasting Rainfall with Time Series Model.

This Special Issue elicits new research on the methods used to forecast rainfall with time series models in order to facilitate the selection of the appropriate forecast method according to needs. The methods could include statistical, computational intelligence like deep neural nets, etc., and numerical prediction, or some combination/hybridization of these methods. Typical rainfall forecasting is translated into single deterministic or an ensemble of short, intermediate, and long lead-time forecasts. Finally, in addition point forecasts, we need probabilistic forecasts of these models. Nevertheless, risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty associated forecasts, and it is often necessary to provide distributional rather than point forecasts.  Nowadays, with the availability of large numbers of data, it is possible to combine all the information and sources of uncertainty into a predictive distribution for future values.

This Special Issue will provide readers with up-to-date information on state-of-the-art methodology with perspectives of linking rainfall to meteorological forecasts. It will also foster discussion of innovative techniques, and studies on the following are invited in particular:

  • Time Series Analysis
  • Time Series Forecasting
  • Evaluation of Forecasting Methods and Approaches
  • Impact of Uncertainty on Decision Making
  • Multivariate Time Series Modeling and Forecasting

Dr. Cristian Rodriguez Rivero
Dr. Leonardo Franco
Dr. Julian Antonio Pucheta
Dr. Hector Daniel Patino
Dr. Alvaro David Orjuela-Cañón
Prof. Dr. Gustavo E. Juárez
Guest Editors

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 papers will be 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 1000 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

  • time series model
  • rainfall
  • forecasting
  • computational intelligence

Published Papers

This special issue is now open for submission.
Back to TopTop