The following paper about the emission reduction potential in China has been recently accepted for publication by Science of the Total Environment.
Guo, J., Z. Chen, W. Li, H. Jia, X. Liang, X. Wang, and Z. Bao. Evaluating emission reduction potential at the “30-60 Dual Carbon targets”. Science of the Total Environment, accepted on July 3, 2023.
More details will come soon once the paper is published.
Title: Coastal erosion and climate change: A review on coastal-change process and modeling
Journal: Ambio
DOI: https://doi.org/10.1007/s13280-023-01901-9
Abstract: Coastal erosion is a normal process of nature. However, the rate of coastal erosion, and the frequency and intensity of coastal flooding events, are now on the rise around the world due to the changing climate. Current responses to coastal erosion are primarily determined by site-specific factors, such as coastal elevation, coastal slope, coastal features, and historical coastline change rate, without a systematic understanding of the coastal-change processes in the context of climate change, including spatiotemporal changes in sea level, regional changes in wave climate, and sea ice coverage. In the absence of a clear understanding of the coastal-change processes, most of the current coastal responses have been built upon a risky assumption (i.e., the present-day coastal change will persist) and are not resilient to future climate change. Here, we conduct a literature review to summarize the latest scientific understanding of the coastal-change processes under climate change and the potential research gaps towards the prediction of future coastal erosion. Our review suggests that a coupled coastal simulation system with a nearshore wave model (e.g., SWAN, MIKE21, etc.) can play a critical role in both the short-term and long-term coastal risk assessment and protective measure development.
The following paper about the spatiotemporal trends in temperature and precipitation for Prince Edward Island has been recently accepted for publication by Canadian Journal of Civil Engineering.
Nawaz, R.A., X. Wang, S. Basheer, K. Sonier, T. Pang, and T. Adekanmbi. Spatiotemporal Trends in Temperature and Precipitation for Prince Edward Island over 1971-2020. Canadian Journal of Civil Engineering, accepted on July 3, 2023.
More details will come soon once the paper is published.
The following paper about the potential benefits of limiting global warming for the mitigation of temperature extremes in China has been recently accepted for publication by npj Climate and Atmospheric Science.
Guo, J., X. Liang, X. Wang, L. Liu, and Y. Fan. Potential benefits of limiting global warming for the mitigation of temperature extremes in China. npj Climate and Atmospheric Science, accepted on June 28, 2023.
More details will come soon once the paper is published.
Title: Statistical downscaling and projection of climatic extremes using machine learning algorithms
Journal: Theoretical and Applied Climatology
DOI: https://doi.org/10.1007/s00704-023-04532-y
Abstract: Climate change impacts all fields of life including agriculture. This study aimed to determine the historical and future climatic variations for the rainfed Prince Edward Island (PEI). Statistical downscaling model (SDSM), and support vector regression (SVR), multilayer perceptron (MLP), and random forest (RF) algorithms were applied to downscale climatic extremes, i.e., daily precipitation, maximum temperature (Tmax), and minimum temperature (Tmin) at 8 meteorological stations across the island for the baseline period (1976–2003). The MLP algorithm was further applied to project the climatic extremes for the future period (2006–2100) under three representative concentration pathways (RCP 2.6, RCP 4.5, and RCP 8.5) due to its better performance. Linear scaling was used to reduce the biases from the outputs of MLP. The annual and seasonal (potato growing season of May to October) outputs revealed that Tmax and Tmin are expected to increase in the future under all the RCPs, with the maximum increment observed for RCP 8.5. The increments in Tmax and Tmin for the growing season were 0.72–5.37 °C and 0.87–5.91 °C, respectively, irrespective of the RCPs. The spatial pattern of average annual precipitation in the growing season showed high (578–966 mm), moderate (558–625 mm), and low (449–664 mm) precipitation at the eastern, central, and western parts of PEI for both baseline and future periods. The highest changes were observed under RCP 8.5 as the warmest climate associated with this scenario. The projected precipitation extreme indices trends are likely to increase in the future. The maximum changes/year were observed under RCP8.5, which are 1.20 days/year for days with heavy precipitation (R10mm), 2.44 days/year for the days with very heavy precipitation (R20mm), 7.60 mm/year for total precipitation from heavy rainy days (R95p), 3.76 mm/year for total precipitation from very heavy precipitation days (R99p), 1.10 days/year for continuous wet days (CWD), and 0.08 mm/day for precipitation intensity (SDII) for a year. The findings of this study will help the farmers and government policymakers to get a clear picture of the climatic variability and strategize to mitigate the climate change impact on the island’s agriculture in the future.