The following paper about a new model for real-time peak flow prediction based on signal matching has recently accepted for publication by Environmental Modelling & Software.
Wang, X., Q. V. Dau, and F. Aziz. Real-Time Peak Flow Prediction Based on Signal Matching. Environmental Modelling & Software, accepted on December 5, 2023.
More details will come soon once the paper is published.
Title: Climate change impacts on global potato yields: a review
Journal: Environmental Research: Climate
DOI: https://doi.org/10.1088/2752-5295/ad0e13
Abstract: Potatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate.
The following paper about a water balance study with numerical modeling has recently accepted for publication by Water.
Sanaullah, M., X. Wang, S. R. Ahmad, K. Mirza, M. Q. Mahmood, M. Kamran. Exploring water balance components of an inter-fluvial basin using numerical flow modelling: A case study of Rechna Doab, Pakistan. Water, accepted on November 23, 2023.
More details will come soon once the paper is published.
The following review paper about the impacts of climate change on global potato yields has recently accepted for publication by Environmental Research: Climate.
Adekanmbi, T., X. Wang, S. Basheer, S. Liu, A. Yang, and H. Cheng. Climate change impacts on global potato yields: a review. Environmental Research: Climate, accepted on November 20, 2023.
More details will come soon once the paper is published.
Title: Picturing China’s photovoltaic energy future: Insights from CMIP6 climate projections
Journal: Renewable and Sustainable Energy Reviews
DOI: https://doi.org/10.1016/j.rser.2023.114026
Abstract: Vigorous development of solar photovoltaic energy (PV) is one of the key components to achieve China’s “30•60 Dual-Carbon Target”. In this study, by utilizing the outputs generated by CMIP6 models under different shared socioeconomic pathways (SSPs) and a physical PV model (GSEE), future changes in PV power generation across China are provided for the outlined carbon neutralization period (2051–2070). The results reveal distinct spatiotemporal characteristics in the changes in PV output across China. Overall, compared to the historical period, annual PV power generation is projected to decrease in northern regions and Tibet Plateau with a maximum decrease of ∼4 % under the high emission scenario (SSP585), while southern and central regions exhibit significant increases. Remarkably, under the green development pathway (SSP126), PV power generation is expected to rise by over 10 % in these regions. The magnitude of decrease in the north and increase in the south is projected to become more pronounced with the continuous increase of future carbon emissions. It is anticipated that the three northern regions of China will experience greater decreases in PV power generation in winter compared to other seasons, especially under SSP585. Additionally, the southeast region shows the smallest increase in summer PV generation out of all seasons. Moreover, under SSP126 trajectory, most regions in China exhibit reduced inter-annual and intra-annual variability in PV generation compared to the historical levels. This suggests that pursuing a sustainable path could substantially mitigate potential risks associated with PV generation fluctuations in China.