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Climate
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Sub-Regional Scale Climate Change
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Sub-Regional Scale Climate Change

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

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 7003

Special Issue Editors

Dr. Ademe Mekonnen

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Guest Editor
Department of Physics, North Carolina A&T State University, Greensboro, NC 27411, USA
Interests: interaction between tropical waves and convection; regional monsoons and medium- to longer-range forecast problems; climate variability and climate change
Dr. Jing Zhang

E-Mail
Guest Editor
Department of Physics, North Carolina A&T State University, Greensboro, NC 27411, USA
Interests: dynamic downscaling; regional reanalysis; mesoscale wind flows; land/ice/snow surface processes; synoptic and climate studies of Arctic cyclone; real-time weather forecasting

Special Issue Information

Dear Colleagues,

The journal Climate is planning a Special Issue on “Subregional-Scale Climate Change”. Recent progress in computational science through modeling and a leap in computer power has allowed climate scientists to run high-resolution global models and perform downscaling (dynamical or statistical) of model output to investigate and better understand regional aspects of climate. Evidence for global climate change and its impacts on recent and future climate is mounting, but how these changes manifest regionally is yet to be fully understood. There is still uncertainty in regard to regional precipitation shift and regional temperature patterns. Some future climate projections are in direct opposition to the recent climate over certain areas of the globe. For example, GCM projections of rainfall in East Africa paint an increasing picture in the “not-so-distant” future, but this is in direct contrast with the below-normal rainfall over the region for the past several decades. This implies much is yet to be learned regarding future changes in key climate events in association with anthropogenic climate change.

While average global temperature projections under various scenarios consistently show an increase in temperature, how this is manifested in different subregions is uncertain. In light of this lack of knowledge and understanding, we invite you to contribute to this Special Issue on “Subregional-Scale Climate Change” firmly based on both observational and modeling studies relevant to long-term climate variability, climate change, and regional aspects of future climate under various scenarios. Solicited contributions include, but are not limited to, observed and simulated regional climate, and dynamically or statistically downscaling products using novel methods, including highlights of regional disparities between recent climate and recent future projections.

Dr. Ademe Mekonnen
Dr. Jing Zhang
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

  • dynamical downscaling
  • general circulation models
  • Earth system modeling
  • climate change scenarios
  • anthropogenic climate change
  • regional climate change

Published Papers (2 papers)

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Research

26 pages, 11634 KiB  
Article
Dynamical Downscaling of Surface Air Temperature and Wind Field Variabilities over the Southeastern Levantine Basin, Mediterranean Sea
by Mohamed ElBessa, Saad Mesbah Abdelrahman, Kareem Tonbol and Mohamed Shaltout
Climate 2021, 9(10), 150; https://0-doi-org.brum.beds.ac.uk/10.3390/cli9100150 - 11 Oct 2021
Cited by 2 | Viewed by 2188
Abstract
The characteristics of near surface air temperature and wind field over the Southeastern Levantine (SEL) sub-basin during the period 1979–2018 were simulated. The simulation was carried out using a dynamical downscaling approach, which requires running a regional climate model system (RegCM-SVN6994) on the [...] Read more.
The characteristics of near surface air temperature and wind field over the Southeastern Levantine (SEL) sub-basin during the period 1979–2018 were simulated. The simulation was carried out using a dynamical downscaling approach, which requires running a regional climate model system (RegCM-SVN6994) on the study domain, using lower-resolution climate data (i.e., the fifth generation of ECMWF atmospheric reanalysis of the global climate ERA5 datasets) as boundary conditions. The quality of the RegCM-SVN simulation was first verified by comparing its simulations with ERA5 for the studied region from 1979 to 2018, and then with the available five WMO weather stations from 2007 to 2018. The dynamical downscaling results proved that RegCM-SVN in its current configuration successfully simulated the observed surface air temperature and wind field. Moreover, RegCM-SVN was proved to provide similar or even better accuracy (during extreme events) than ERA5 in simulating both surface air temperature and wind speed. The simulated annual mean T2m by RegCM-SVN (from 1979 to 2018) was 20.9 °C, with a positive warming trend of 0.44 °C/decade over the study area. Moreover, the annual mean wind speed by RegCM-SVN was 4.17 m/s, demonstrating an annual negative trend of wind speed over 92% of the study area. Surface air temperatures over SEL mostly occurred within the range of 4–31 °C; however, surface wind speed rarely exceeded 10 m/s. During the study period, the seasonal features of T2m showed a general warming trend along the four seasons and showed a wind speed decreasing trend during spring and summer. The results of the RegCM-SVN simulation constitute useful information that could be utilized to fully describe the study area in terms of other atmospheric parameters. Full article
(This article belongs to the Special Issue Sub-Regional Scale Climate Change)
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21 pages, 975 KiB  
Article
Assessing Impact of Climate Variability in Southwest Coastal Bangladesh Using Livelihood Vulnerability Index
by Sabrina Mehzabin and M. Shahjahan Mondal
Climate 2021, 9(7), 107; https://0-doi-org.brum.beds.ac.uk/10.3390/cli9070107 - 29 Jun 2021
Cited by 12 | Viewed by 4071
Abstract
This study analyzed the variability of rainfall and temperature in southwest coastal Bangladesh and assessed the impact of such variability on local livelihood in the last two decades. The variability analysis involved the use of coefficient of variation (CV), standardized precipitation anomaly (Z), [...] Read more.
This study analyzed the variability of rainfall and temperature in southwest coastal Bangladesh and assessed the impact of such variability on local livelihood in the last two decades. The variability analysis involved the use of coefficient of variation (CV), standardized precipitation anomaly (Z), and precipitation concentration index (PCI). Linear regression analysis was conducted to assess the trends, and a Mann–Kendall test was performed to detect the significance of the trends. The impact of climate variability was assessed by using a livelihood vulnerability index (LVI), which consisted of six livelihood components with several sub-components under each component. Primary data to construct the LVIs were collected through a semi-structed questionnaire survey of 132 households in a coastal polder. The survey data were triangulated and supplemented with qualitative data from focused group discussions and key informant interviews. The results showed significant rises in temperature in southwest coastal Bangladesh. Though there were no discernable trends in annual and seasonal rainfalls, the anomalies increased in the dry season. The annual PCI and Z were found to capture the climate variability better than the currently used mean monthly standard deviation. The comparison of the LVIs of the present decade with the past indicated that the livelihood vulnerability, particularly in the water component, had increased in the coastal polder due to the increases in natural hazards and climate variability. The index-based vulnerability analysis conducted in this study can be adapted for livelihood vulnerability assessment in deltaic coastal areas of Asia and Africa. Full article
(This article belongs to the Special Issue Sub-Regional Scale Climate Change)
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