Modeling and Forecasting of Climate Risks

A special issue of Climate (ISSN 2225-1154). This special issue belongs to the section "Climate and Economics".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 2344

Special Issue Editors


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Guest Editor
Centre for Econometrics and Applied Research (CEAR), Ibadan, NG, Nigeria
Interests: applied econometrics; econometric analysis; econometric modeling; economic modeling; economic forecasting; time series forecasting

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Guest Editor
Hull University Business School, University of Hull, Hull HU6 7RX, UK
Interests: commodity markets; energy economics; agricultural economics and applied econometrics

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue [SI] titled “Modelling and Forecasting of Climate Risks”.

The impact of extreme weather events, which are intensified by climate change, is already causing widespread devastation across different countries and industries. From prolonged droughts in sub-Saharan Africa to tropical storms in Southeast Asia, the Caribbean, and the Pacific, the consequences of climate change are evident. Europe has also experienced fatal heat waves, while wildfires have been reported in several countries, such as South Korea, Algeria, and Croatia. Pakistan has been hit by severe flooding, and Madagascar is facing a severe drought that has left millions of people without access to food. As businesses strive to limit greenhouse gas emissions, various climate change models have impacted their profits. On the other hand, governments are committed to achieving net-zero emissions to combat the adverse effects of climate change. However, the issue of climate change remains contentious, with developing countries arguing that their contribution to the problem is minimal compared to their developed counterparts. Despite ongoing research on climate risks, there are still gaps in our understanding of the issue. This article explores the modelling and forecasting of climate risks, offering policymakers alternative predictive models to make more precise predictions about the potential macroeconomic consequences of climate change. As this is an emerging area of study, discussions around climate change forecasts will undoubtedly continue to be a crucial part of climate change mitigation and adaptation efforts.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Climate risk predictability;
  • Climate risks and economic conditions;
  • Climate risks and business sustainability;
  • Climate risks and financial markets;
  • Climate change and commodity markets;
  • Climate risks and fiscal sustainability;
  • Climate risks and monetary policy;
  • Climate risks and trade.

We look forward to receiving your contributions.

Prof. Dr. Afees Adebare Salisu
Dr. Raymond Swaray
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 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. Climate is an international peer-reviewed open access monthly 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 risk measures
  • climate risk predictability
  • sustainability
  • climate adaptation
  • green finance
  • green economy
  • global warming
  • climate change economics
  • climate change modeling
  • climate econometrics

Published Papers (1 paper)

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14 pages, 4966 KiB  
Perspective
The Umlindi Newsletter: Disseminating Climate-Related Information on the Management of Natural Disaster and Agricultural Production in South Africa
by Reneilwe Maake, Johan Malherbe, Teboho Masupha, George Chirima, Philip Beukes, Sarah Roffe, Mark Thompson and Mokhele Moeletsi
Climate 2023, 11(12), 239; https://doi.org/10.3390/cli11120239 - 05 Dec 2023
Viewed by 1927
Abstract
The Umlindi newsletter was developed to provide information towards climate advisories, considering, for instance, drought conditions, presented in a relevant manner for the agricultural and disaster sectors in South Africa. This newsletter, which is disseminated on a monthly basis, provides information derived from [...] Read more.
The Umlindi newsletter was developed to provide information towards climate advisories, considering, for instance, drought conditions, presented in a relevant manner for the agricultural and disaster sectors in South Africa. This newsletter, which is disseminated on a monthly basis, provides information derived from climate-related monitoring products obtained from an integration of remote sensing and in situ data from weather stations. It contains useful indicators, such as rainfall, vegetation, and fire conditions, that provide an overview of conditions across the country. The present study demonstrates how these natural resource indices are integrated and consolidated for utilization by farmers, policy-makers, private organizations, and the general public to make day-to-day decisions on the management and mitigation of natural disasters. However, there is a need to expand these baseline observation initiatives, including the following: (1) forecasting future conditions to strengthen coping mechanisms of government, farmers, and communities at large; and (2) incorporating information on other natural disasters such as floods and extreme heat. In the context of South Africa, this information is important to improve disaster preparedness and management for agricultural productivity. In a global context, the Umlindi newsletter can be insightful for developing and disseminating natural resources information on adaptation to and mitigation of climate change and variability impacts to other regions facing similar risks. Furthermore, while international organizations also provide natural resource information, the Umlindi newsletter may be distinguished by its regional focus and linkages to individual communities. It bridges the gap between global environmental data and local decision-making by illustrating how global scientific knowledge may be applied locally. Full article
(This article belongs to the Special Issue Modeling and Forecasting of Climate Risks)
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