Special Issue "Climate Change Impact Assessment: Forecasting, Uncertainty Analysis, and Sustainable Development"

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

Deadline for manuscript submissions: 28 February 2023 | Viewed by 2123

Special Issue Editors

Dr. Ali Saber
E-Mail Website
Guest Editor
Department of Physical and Environmental Sciences, University of Toronto, 1065 Military Trail, Toronto, ON M1C 1A4, Canada
Interests: water quality modeling; hydrodynamic modeling; machine learning; data mining; climate change; wastewater treatment; water reuse; water resource management; sustainability of freshwater resources; physical limnology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Paolo Reggiani
E-Mail Website
Guest Editor
Department of Civil Engineering, University of Siegen, 57068 Siegen, Germany
Interests: water resources management and forecasting; forecasting uncertainty; catchment hydrology; climate change impact analysis; floods; drought; Bayesian analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The accelerated global warming due to anthropogenic activities is one of the greatest challenges worldwide. Climate change can result in prolonged drought, flooding, wildfires, tornados, wave heats, and altered hydrological cycles, imposing significant stress on both human society and the natural environment.

Climate-related extremes over the past few decades have become more frequent and intense, highlighting the need to develop methodologies to forecast extreme events and adaptation plans to mitigate their subsequent effects on the economy, environment, and human welfare.

Complex interactions among the climate, energy, hydrological cycle, agriculture, environmental and urban sustainability require interdisciplinary studies to guide management practices to adopt practical mitigation and restoration actions.

This Special Issue contributes to the state of the art of forecasting and modeling climate-change-related events and policy analysis to ensure the sustainability of urban and natural systems. Topics of interest include but are not limited to:

  • Forecasting, impact assessment, and uncertainty analysis of climate change-related events on atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere;
  • Mitigation options and sustainable development policy analysis to reduce climate change impacts;
  • Analysis of immediate and long-term climate change effects on human health and welfare.

Dr. Ali Saber
Prof. Dr. Paolo Reggiani
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. 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 1400 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.


  • altered hydrological cycle
  • hydroclimate modeling
  • greenhouse gas emissions
  • hydro informatics
  • sustainability of urban and environmental systems
  • infrastructure resiliency
  • environmental policy assessment
  • food–water–energy–climate nexus

Published Papers (1 paper)

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Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling
Forecasting 2022, 4(3), 582-603; https://doi.org/10.3390/forecast4030032 - 29 Jun 2022
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Climate change has caused uncertainty in the hydrological pattern including weather change, precipitation fluctuations, and extreme temperature, thus triggering unforeseen natural tragedies such as hurricanes, flash flooding, heatwave and more. Because of these unanticipated events occurring all around the globe, the study of [...] Read more.
Climate change has caused uncertainty in the hydrological pattern including weather change, precipitation fluctuations, and extreme temperature, thus triggering unforeseen natural tragedies such as hurricanes, flash flooding, heatwave and more. Because of these unanticipated events occurring all around the globe, the study of the influence of climate change on the alteration of flooding patterns has gained a lot of attention. This research study intends to provide an insight into how the future projected streamflow will affect the flooding-inundation extent by comparing the change in floodplain using both historical and future simulated scenarios. For the future projected data, the climate model Atmosphere/Ocean General Circulation Model (AOGCM) developed by Coupled Model Intercomparison Project Phase 6 (CMIP6) is used, which illustrates that the flood is increasing in considering climate models. Furthermore, a comparison of the existing flood inundation map by the Federal Emergency Management Agency (FEMA) study with the map generated by future projected streamflow data presents the entire inundation area in flood maps, implying the expansion area compared to FEMA needs to be considered in making emergency response plans. The effect of flooding in the inundation area from historical to future flow values, presented mathematically by a calculation of inundation extent percentage, infers that the considered watershed of Rock River is a flood-prone area. The goal is to provide insights on the importance of using the forecasted data for flood analysis and to offer the necessary background needed to strategize an emergency response plan for flood management. Full article
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