Article
Meteorology & Atmospheric Sciences
Idris Muhammad Wada, Haruna Shehu Usman, Amechi S. Nwankwegu, Makhai Nwunuji Usman, Selamawit Haftu Gebresellase
Summary: This study focuses on the selection and downscaling of GCM models for Northern Nigeria using the Shared Socioeconomic Pathways (SSP4.5 and SSP8.5) emission scenarios. The study reveals that different GCM models are more accurate in simulating different seasons, and downscaled models show an increase in annual precipitation and temperature in both short-term and long-term periods under different emission scenarios. These findings can be used for climate impact studies in the region.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Selamawit Haftu Gebresellase, Zhiyong Wu, Huating Xu, Wada Idris Muhammad
Summary: Identifying representative general circulation models (GCMs) for a specific area is crucial for climate change studies. This study used an advanced envelope-based multi-criteria selection approach to identify a subset of the most appropriate future GCMs for the Upper Awash Basin. The results showed an increase in precipitation intensity, wet days, and dry spells due to the projected increase in temperature.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Y. R. Liu, Y. P. Li, Y. K. Ding
Summary: The study developed a FAMED method that effectively downscaled climate variables and revealed the individual and interactive effects of GCM, ES, and SDM on climate projection responses. The findings showed a warming trend in Nur Sultan from 2021 to 2100, with GCM being the main factor affecting mean values, ES impacting trend, and both GCM and SDM influencing extreme values. IPSL-CM5A-LR and SCA were found to have the best performances in model validation for temperature projections.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Muhammad Umer Masood, Noor Muhammad Khan, Saif Haider, Muhammad Naveed Anjum, Xi Chen, Aminjon Gulakhmadov, Mudassar Iqbal, Zeshan Ali, Tie Liu
Summary: This study evaluates the possible future impacts of both land cover and climate change on streamflow in the Mohmand Dam catchment using the SWAT model and CMIP6 dataset. The results show that projected climate and land cover changes have significant impacts on the flow of the Mohmand Dam.
Article
Meteorology & Atmospheric Sciences
Saber E. Brasher, Daniel J. Leathers
Summary: The cryo-cover in the Northern Hemisphere, consisting of snow and sea ice covers, has shown distinct spatial and temporal variability and shifts in stability in recent decades. This study focuses on the transformation of cryo-cover during March, June, and October, and utilizes Self-Organizing Maps (SOMs) on a dataset covering the period from 1979 to 2012. The results indicate a decrease in cryo-cover during March and June, with pixels shifting from stable to transient patterns. However, there is an increase in transient cryo-cover during October, primarily centered around 50 degrees N latitude. These changes in cryo-cover will continue due to rising temperatures in the high latitudes of the Northern Hemisphere, and spatial monitoring using methods like SOMs will be essential for understanding the radiative and environmental impacts.
Article
Environmental Sciences
Sharjeel Hassan, Muhammad Umer Masood, Saif Haider, Muhammad Naveed Anjum, Fiaz Hussain, Yongjian Ding, Donghui Shangguan, Muhammad Rashid, Muhammad Umer Nadeem
Summary: To assess the effects of climate change and land use change on Rawal Dam, a hydrological modeling study was conducted at the watershed scale. The HEC-HMS model simulated the hydrological response to historical precipitation, and the calibrated model was used to evaluate the impacts of land use and climate changes on reservoir inflows. The study found that precipitation is projected to increase in the future, leading to higher inflows to Rawal Dam. The calibrated model proved to be useful for future hydrological impact assessments on the reservoir.
Article
Geosciences, Multidisciplinary
Tsung-Lin Hsieh, Wenchang Yang, Gabriel A. Vecchi, Ming Zhao
Summary: The future projection of tropical cyclone frequency is highly uncertain. Recent studies suggest that the spread of seed patterns is correlated with the spread of cyclone patterns. The relationship between seed frequency and climate perturbations can be explained using a downscaling theory.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Farhad Yazdandoost, Sogol Moradian, Ardalan Izadi, Amir Aghakouchak
Summary: This study examines the performance of CMIP6 historical simulations on precipitation estimates in Iran's climatic regions, finding significant variability in model reliability across different climate zones. Each CMIP6 model appears to be more suitable for specific climatic zones, with some models performing well in arid regions but not in humid zones, and vice versa. The results highlight the importance of selecting appropriate models for different climate zones.
ATMOSPHERIC RESEARCH
(2021)
Article
Engineering, Marine
Wei-Shiun Lu, Chi-Hsiang Tseng, Shih-Chun Hsiao, Wen-Son Chiang, Kai-Cheng Hu
Summary: Taiwan's coastal hazards may worsen due to climate change. Analyzing wave climate characteristics at different time scales provides a reference for understanding the impact of climate change on coastal environments.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Muhammad Umer Masood, Saif Haider, Muhammad Rashid, Mohammed Suleman Aldlemy, Chaitanya B. Pande, Bojan Durin, Raad Z. Homod, Fahad Alshehri, Ismail Elkhrachy
Summary: In this study, hydrological modeling was used to assess the impacts of climate and land use changes on the Khanpur Dam catchment area. The results showed that precipitation is predicted to increase, leading to higher inflows in the future.
Article
Environmental Sciences
Yongdi Wang, Xinyu Sun
Summary: This study evaluates the applicability of a statistical downscaling method based on Self-Organizing Maps (SOM) for daily precipitation in North China. The results show that the method is highly skilled in reproducing the statistical properties of observed precipitation. It is capable of simulating the probability distribution of daily precipitation, especially extreme precipitation fields. This method can provide guidance for future climate projections over North China.
Article
Environmental Sciences
Zahra Asadgol, Alireza Badirzadeh, Hadi Mirahmadi, Hossein Safari, Hamed Mohammadi, Mitra Gholami
Summary: Climate change can increase the spread of infectious diseases, such as malaria in Iran, which is strongly influenced by climatic conditions. Artificial neural networks were used to simulate the impact of climate change on malaria from 2021 to 2050. The simulation showed an intense increasing trend in malaria cases under the warmer climate scenario, with rainfall and maximum temperature identified as influential factors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Slavisa Jovanovic, Hiroomi Hikawa
Summary: Self-organizing feature maps (SOMs) are commonly used in clustering and data dimensionality reduction. However, their high computational cost limits their real-time online processing. This article surveys the hardware implementations of SOMs and discusses the challenges and trends for their adoption as hardware accelerators in various applications.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Water Resources
Stevie Walker, Hem Nalini Mozaria-Luna, Isaac Kaplan, David Petatan-Ramirez
Summary: This study used downscaled models to project future sea surface temperature and salinity in Puget Sound. The results showed that Puget Sound will experience surface warming and freshening in the future, with regional variations in temperature and salinity.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Multidisciplinary Sciences
Richard S. J. Tol
Summary: Poorer and hotter countries are more vulnerable to climate change, experiencing more negative impacts. The distribution of impacts within countries varies significantly, with almost three-quarters of people facing worse impacts than their country average. The differences between countries are larger than within-country variations overall.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2021)
Article
Environmental Sciences
Izidine Pinto, Christopher Lennard, Mark Tadross, Bruce Hewitson, Alessandro Dosio, Grigory Nikulin, Hans-Juergen Panitz, Mxolisi E. Shongwe
Article
Meteorology & Atmospheric Sciences
Nana Ama Browne Klutse, Babatunde J. Abiodun, Bruce C. Hewitson, William J. Gutowski, Mark A. Tadross
THEORETICAL AND APPLIED CLIMATOLOGY
(2016)
Article
Agriculture, Multidisciplinary
Nkulumo Zinyengere, Olivier Crespo, Sepo Hachigonta, Mark Tadross
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2014)
Article
Plant Sciences
Daleen Loetter, Emma Archer van Garderen, Mark Tadross, Alexander J. Valentine
AUSTRALIAN JOURNAL OF BOTANY
(2014)
Article
Meteorology & Atmospheric Sciences
Alice Favre, Bruce Hewitson, Christopher Lennard, Ruth Cerezo-Mota, Mark Tadross
Article
Geosciences, Multidisciplinary
Oliver Angelil, Daithi A. Stone, Mark Tadross, Fiona Tummon, Michael Wehner, Reto Knutti
GEOPHYSICAL RESEARCH LETTERS
(2014)
Article
Biodiversity Conservation
Lyndon D. Estes, Hein Beukes, Bethany A. Bradley, Stephanie R. Debats, Michael Oppenheimer, Alex C. Ruane, Roland Schulze, Mark Tadross
GLOBAL CHANGE BIOLOGY
(2013)
Article
Ecology
L. D. Estes, B. A. Bradley, H. Beukes, D. G. Hole, M. Lau, M. G. Oppenheimer, R. Schulze, M. A. Tadross, W. R. Turner
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2013)
Article
Engineering, Civil
Piotr Wolski, Daithi Stone, Mark Tadross, Michael Wehner, Bruce Hewitson
JOURNAL OF HYDROLOGY
(2014)
Article
Plant Sciences
Daleen Lotter, Alexander J. Valentine, Emma Archer Van Garderen, Mark Tadross
SOUTH AFRICAN JOURNAL OF BOTANY
(2014)
Article
Environmental Sciences
Mayowa Fasona, Mark Tadross, Babatunde Abiodun, Ademola Omojola
ENVIRONMENTAL DEVELOPMENT
(2013)
Article
Meteorology & Atmospheric Sciences
Piotr Wolski, Stefaan Conradie, Christopher Jack, Mark Tadross
Summary: The study analyzed long-term rainfall data in the southern part of the winter rainfall region of southern Africa, revealing coherent spatial patterns and seasonal differences in rainfall trends influenced by regional driving mechanisms. While trend patterns are consistent with multidecadal-scale quasi-periodicity, they alone cannot fully explain the pattern of 2015-2017 drought anomalies.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Review
Environmental Sciences
Emma Archer, Willem Landman, Johan Malherbe, Mark Tadross, Simone Pretorius
CLIMATE RISK MANAGEMENT
(2019)
Article
Meteorology & Atmospheric Sciences
Piotr Wolski, Christopher Jack, Mark Tadross, Lisa van Aardenne, Christopher Lennard
Article
Environmental Sciences
Emma Rosa Mary Archer, Willem Adolf Landman, Mark Alexander Tadross, Johan Malherbe, Harold Weepener, Phumzile Maluleke, Farai Maxwell Marumbwa
CLIMATE RISK MANAGEMENT
(2017)
Article
Geosciences, Multidisciplinary
Mohamed Khatif Tawaf Mohamed Yusof, Ahmad Safuan A. Rashid, Mohd Faisal Abdul Khanan, Muhammad Zulkarnain Abdul Rahman, Wardatun Ahmar Abdul Manan, Roohollah Kalatehjari, Ali Dehghanbanadaki
Summary: This study investigates the effects of climate change on landslide susceptibility mapping (LSM) using a case study on Penang Island in Malaysia. The results show that future rainfall and temperatures are expected to increase, especially under a higher climate change scenario. LSM can help local authorities identify critical areas for monitoring and responding to landslide risks caused by climate change.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)
Article
Geosciences, Multidisciplinary
Shivam Pandey, Ajay Singh, Anuj Kumar, Inderjeet Tyagi, Rama Rao Karri, Rama Gaur, Hamedreza Javadian, Monu Verma
Summary: This research compares the effectiveness of hydrothermally produced ZnO and SnO2 nanocatalysts in degrading p-nitrophenol, a noxious chemical in water. The study finds that ZnO catalyst has better degradation efficiency compared to SnO2 catalyst. Detailed investigation reveals the optimal conditions for degrading p-nitrophenol using ZnO photocatalysts.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)
Article
Geosciences, Multidisciplinary
Muhammad Farhan Ul Moazzam, Sudeep Thakuri, Ghani Rahman, Byung Gul Lee
Summary: This study explores the elevation dependent warming in the Indus River Basin and its impacts on cryospheric and hydrological changes. The results show significant warming trends in the Tmax and Tmin in the upper Indus Basin, with a more prominent trend observed during the winter season for Tmax. These consistent warming trends can have harmful impacts on the cryosphere of the region, leading to water scarcity and extreme droughts.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)
