@article{Rokaya-2022-Modelling,
title = "Modelling of ice jam floods under past and future climates: A review",
author = "Rokaya, Prabin and
Lindenschmidt, Karl{--}Erich and
Pietroniro, A. and
Clark, Martyn P.",
journal = "Journal of Hydrology X, Volume 15",
volume = "15",
year = "2022",
publisher = "Elsevier BV",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G22-32001",
doi = "10.1016/j.hydroa.2022.100120",
pages = "100120",
abstract = "{\mbox{$\bullet$}} The probable impacts of future climate on ice-jam floods are discussed. {\mbox{$\bullet$}} Practical suggestions for modelling ice-jam floods under both past and future climates are provided. {\mbox{$\bullet$}} Research opportunities that could lead to further improvements in ice-jam flood modelling and prediction are presented. Ice-jam floods (IJFs) are a key concern in cold-region environments, where seasonal effects of river ice formation and break-up can have substantial impacts on flooding processes. Different statistical, machine learning, and process-based models have been developed to simulate IJF events in order to improve our understanding of river ice processes, to quantify potential flood magnitudes and backwater levels, and to undertake risk analysis under a changing climate. Assessment of IJF risks under future climate is limited due to constraints related to model input data. However, given the broad economic and environmental significance of IJFs and their sensitivity to a changing climate, robust modelling frameworks that can incorporate future climatic changes, and produce reliable scenarios of future IJF risks are needed. In this review paper, we discuss the probable impacts of future climate on IJFs and provide suggestions on modelling IJFs under both past and future climates. We also make recommendations around existing approaches and highlight some data and research opportunities, that could lead to further improvements in IJF modelling and prediction.",
}
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<abstract>\bullet The probable impacts of future climate on ice-jam floods are discussed. \bullet Practical suggestions for modelling ice-jam floods under both past and future climates are provided. \bullet Research opportunities that could lead to further improvements in ice-jam flood modelling and prediction are presented. Ice-jam floods (IJFs) are a key concern in cold-region environments, where seasonal effects of river ice formation and break-up can have substantial impacts on flooding processes. Different statistical, machine learning, and process-based models have been developed to simulate IJF events in order to improve our understanding of river ice processes, to quantify potential flood magnitudes and backwater levels, and to undertake risk analysis under a changing climate. Assessment of IJF risks under future climate is limited due to constraints related to model input data. However, given the broad economic and environmental significance of IJFs and their sensitivity to a changing climate, robust modelling frameworks that can incorporate future climatic changes, and produce reliable scenarios of future IJF risks are needed. In this review paper, we discuss the probable impacts of future climate on IJFs and provide suggestions on modelling IJFs under both past and future climates. We also make recommendations around existing approaches and highlight some data and research opportunities, that could lead to further improvements in IJF modelling and prediction.</abstract>
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%0 Journal Article
%T Modelling of ice jam floods under past and future climates: A review
%A Rokaya, Prabin
%A Lindenschmidt, Karl–Erich
%A Pietroniro, A.
%A Clark, Martyn P.
%J Journal of Hydrology X, Volume 15
%D 2022
%V 15
%I Elsevier BV
%F Rokaya-2022-Modelling
%X \bullet The probable impacts of future climate on ice-jam floods are discussed. \bullet Practical suggestions for modelling ice-jam floods under both past and future climates are provided. \bullet Research opportunities that could lead to further improvements in ice-jam flood modelling and prediction are presented. Ice-jam floods (IJFs) are a key concern in cold-region environments, where seasonal effects of river ice formation and break-up can have substantial impacts on flooding processes. Different statistical, machine learning, and process-based models have been developed to simulate IJF events in order to improve our understanding of river ice processes, to quantify potential flood magnitudes and backwater levels, and to undertake risk analysis under a changing climate. Assessment of IJF risks under future climate is limited due to constraints related to model input data. However, given the broad economic and environmental significance of IJFs and their sensitivity to a changing climate, robust modelling frameworks that can incorporate future climatic changes, and produce reliable scenarios of future IJF risks are needed. In this review paper, we discuss the probable impacts of future climate on IJFs and provide suggestions on modelling IJFs under both past and future climates. We also make recommendations around existing approaches and highlight some data and research opportunities, that could lead to further improvements in IJF modelling and prediction.
%R 10.1016/j.hydroa.2022.100120
%U https://gwf-uwaterloo.github.io/gwf-publications/G22-32001
%U https://doi.org/10.1016/j.hydroa.2022.100120
%P 100120
Markdown (Informal)
[Modelling of ice jam floods under past and future climates: A review](https://gwf-uwaterloo.github.io/gwf-publications/G22-32001) (Rokaya et al., GWF 2022)
ACL
- Prabin Rokaya, Karl–Erich Lindenschmidt, A. Pietroniro, and Martyn P. Clark. 2022. Modelling of ice jam floods under past and future climates: A review. Journal of Hydrology X, Volume 15, 15:100120.
