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Special Issue "Climate Change and Climate Variability, and Their Impact on Extreme Events"
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 19659
Special Issue Editors
Interests: climate modeling; extreme events; dynamical downscaling; land use and land cover change; numerical weather prediction; statistical method applications; remote sensing applications and GIS
Special Issues, Collections and Topics in MDPI journals
Interests: Indo-Pacific variability; climate variability and societal impacts; climate change and river hydrology; agriculture; hydroclimate; disaster risk reduction; trend analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
In the present scenario, climate change and climate variability are of great concern around the world, particularly their impact on extreme weather events, which consequently affect all sectors, including habitat, economy, health, water, and agriculture. Thus, understanding the pattern of climate change and climate variability has been the focus of many researchers, and many efforts are being made to better frame the consequences of their future impacts. This Special Issue of Atmosphere seeks contributions on observational and numerical modeling studies to enhance the understanding of the global or regional climate patterns and variations over time in some measures of climate. This issue also encourages articles that discuss regional or global analysis of extreme weather events and their response to the climate change and climate variability trend. Contributions on model simulations and evaluations to advance the understanding of physics and dynamics associated with climate-change-related weather hazards will also be considered. Submissions in, but not limited to, the following research areas are invited:Climate change;
Dr. Sridhara Nayak
Dr. Netrananda Sahu
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. Atmosphere 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 2000 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 change
- climate variability
- extreme events
- climate modeling
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: The Compound Unusual Precipitation-Temperature Events
Authors: Yulizar Yulizar
Affiliation: Department of Civil Engineering, Universitas Pertamina, Jakarta, 12220 Indonesia
Abstract: The compound extremes of hydrometeorological variables might not only affect as an extreme from a single variable but might also result due to their interaction in the multivariate set. This occurrence is called compound unusual events. A statistical approach based on the data depth function is being used to identify these occurrences in the multivariate dataset. To illustrate the methodology, the daily historical series of precipitation and mean temperature series from several selected observation stations in Germany will be used. The zero values of precipitation and the anomalies of mean temperature are used in this study. This study will help in answering the occurrence of unusual events for both variables on temporal and spatial scales.
Title: Temporal and spatial variability of observed and projected climate extreme indices based on CMIP5 simulation models across Tunisia
Authors: Issam Touhami1,*,+, Hamdi Aouinti1,+ Intissar Rouabhia1, Kaouther Bergaoui2, Constanza Romero3, Ibtissem Taghouti1,4, Mariem Khalfaoui1, Julio Salcedo-Castro5
Affiliation: Laboratory of Management and Valorisation of Forest Resources, National Research Institute of Rural Engineering, Water and Forestry (INRGREF), BP 10 2080-Ariana, Tunisia.
Abstract: Understanding, monitoring and predicting weather and climate extremes is important because of their severe impacts on communities and ecosystems. In many parts of the world, climate extreme indices have been calculated from daily precipitations and temperature data. However, in Tunisia very few analyses of daily precipitations and temperature data have been carried out. Based on 11 models data from the Coupled Model Inter-comparison Project Phase 5 (CMIP5), this study investigates trends of 14 climate extreme indices simulations for the future period (P1: 2011-2040; P2: 2041-2070; and P3: 2071-2099) in comparison to the historical period (P0: 1981-2010) under RCP4.5 and RCP8.5 climate scenarios over Tunisia. Climate extremes indices like temperature-based indices; the maximum temperature (TXx), the minimum temperature (TNn), hot days (SU32), (SU36), (SU95) and heat spell duration (WSDI) shows a significant increase in different time periods. Similarly, extreme precipitations, as represented by the total monthly rainfall (PRCPTOT), the 95th percentile of precipitations on wet days (R95pTOT), the maximum daily rainfall (RX1day), total monthly heavy rain days>5mm (R5mm), total monthly heavy rain days>20mm (R20mm), and consecutive wet days (CWD) is projected to decrease significantly in most regions of the country. The analysis will provide an understanding of the temporal and spatial variability of weather and climate extremes over Tunisia. Results presented in the present study can be beneficial to assess the impact of predicted climate change indices on several areas (e.g. agriculture, forest, water resources, etc.), and can help engineers and planners to devise strategies for the efficient use and conservation.