Paper Accepted by Environmental Modelling & Software

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.

Paper Published in Environmental Research: Climate

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.