Authors
Azin Al Kajbaf, Michelle Bensi, Kaye L Brubaker
Publication date
2022/8
Journal
Stochastic Environmental Research and Risk Assessment
Volume
36
Issue
8
Pages
2173-2194
Publisher
Springer Berlin Heidelberg
Description
Increased greenhouse gas concentration in the atmosphere has led to significant climate warming and changes in precipitation and temperature characteristics. These trends, which are expected to continue, will affect water infrastructure and raise the need to update associated planning and design policies. The potential effects of climate change can be addressed, in part, by incorporating outputs of climate model projections into statistical assessments to develop the Intensity Duration Frequency (IDF) curves used in engineering design and analysis. The results of climate model projections are available at fixed temporal and spatial resolutions. Model results often need to be downscaled from a coarser to a finer grid spacing (spatial downscaling) and/or from a larger to a smaller time-step (temporal downscaling). Machine Learning (ML) models are among the methods used for spatial and temporal downscaling of …
Total citations
202220232024173
Scholar articles
AA Kajbaf, M Bensi, KL Brubaker - Stochastic Environmental Research and Risk …, 2022