Special Issue "Climate and Atmospheric Dynamics and Predictability"

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: 28 February 2019

Special Issue Editors

Guest Editor
Prof. Ioannis Pytharoulis

Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki (AUTH), Greece
Website | E-Mail
Interests: Synoptic Meteorology and Numerical Weather Prediction focusing on extreme weather events.
Guest Editor
Prof. Petros Katsafados

Department of Geography, Atmosphere and Climate Dynamics Group (ACDG), Harokopio University of Athens, El. Venizelou 70 Str., 16122 Athens, Greece
Website | E-Mail
Interests: atmosphere and climate dynamics, data assimilation and nowcasting, numerical weather prediction, air–sea–land interaction, seasonal forecasting, air quality forecasting

Special Issue Information

The state of the weather and climate is largely defined by the interactions between the various components of the climate system (atmosphere, hydrosphere, land surface, cryosphere, and biosphere). The understanding of the atmospheric and climate dynamics, that is, how the natural laws determine the weather and climate, and their prediction/ projection, are essential for life, property, and environment. High-impact weather systems, and low-frequency oscillations and their climatic variability, exert a significant influence on humans and their activities. Over the last decades, the advances in weather and climate numerical models, and the increase of computational resources, have resulted in a blooming of weather forecasting and climate research, allowing for more effective planning and preparedness against adverse weather and climate change.

The aim of this Special Issue is to comprise review and original observational, theoretical, and modelling studies on the dynamics of the atmosphere and the climate system, as well as on their predictability at different spatiotemporal scales.

Topics of interest include, but are not limited to, the following:

  • Dynamics of intense/ high impact weather phenomena and low frequency oscillations
  • Climate dynamics
  • Land/sea–air interaction
  • Numerical weather prediction models and data assimilation
  • Climate models
  • Weather forecasting and climate projection techniques (e.g. ensembles, statistical post-processing, etc.)
  • Weather and climate model evaluation.
Dr. Ioannis Pytharoulis
Prof. Dr. Petros Katsafados
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. Climate 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 550 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.


  • climate dynamics
  • atmospheric dynamics
  • climate models
  • numerical weather prediction models
  • climate projections
  • weather forecasting
  • nowcasting
  • model evaluation

Published Papers (1 paper)

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Open AccessArticle Seasonal Drought Forecasting for Latin America Using the ECMWF S4 Forecast System
Climate 2018, 6(2), 48; https://doi.org/10.3390/cli6020048
Received: 4 May 2018 / Revised: 28 May 2018 / Accepted: 31 May 2018 / Published: 1 June 2018
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Meaningful seasonal prediction of drought conditions is key information for end-users and water managers, particularly in Latin America where crop and livestock production are key for many regional economies. However, there are still not many studies of the feasibility of such a forecasts
[...] Read more.
Meaningful seasonal prediction of drought conditions is key information for end-users and water managers, particularly in Latin America where crop and livestock production are key for many regional economies. However, there are still not many studies of the feasibility of such a forecasts at continental level in the region. In this study, precipitation predictions from the European Centre for Medium Range Weather (ECMWF) seasonal forecast system S4 are combined with observed precipitation data to generate forecasts of the standardized precipitation index (SPI) for Latin America, and their skill is evaluated over the hindcast period 1981–2010. The value-added utility in using the ensemble S4 forecast to predict the SPI is identified by comparing the skill of its forecasts with a baseline skill based solely on their climatological characteristics. As expected, skill of the S4-generated SPI forecasts depends on the season, location, and the specific aggregation period considered (the 3- and 6-month SPI were evaluated). Added skill from the S4 for lead times equaling the SPI accumulation periods is primarily present in regions with high intra-annual precipitation variability, and is found mostly for the months at the end of the dry seasons for 3-month SPI, and half-yearly periods for 6-month SPI. The ECMWF forecast system behaves better than the climatology for clustered grid points in the North of South America, the Northeast of Argentina, Uruguay, southern Brazil and Mexico. The skillful regions are similar for the SPI3 and -6, but become reduced in extent for the severest SPI categories. Forecasting different magnitudes of meteorological drought intensity on a seasonal time scale still remains a challenge. However, the ECMWF S4 forecasting system does capture the occurrence of drought events for the aforementioned regions and seasons reasonably well. In the near term, the largest advances in the prediction of meteorological drought for Latin America are obtainable from improvements in near-real-time precipitation observations for the region. In the longer term, improvements in precipitation forecast skill from dynamical models, like the fifth generation of the ECMWF seasonal forecasting system, will be essential in this effort. Full article
(This article belongs to the Special Issue Climate and Atmospheric Dynamics and Predictability)

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