Climate and hydrological models to assess the impact of climate change on hydrological regime: a review

Kour, Retinder; Patel, Nilanchal; Krishna, Akhouri Pramod

doi:10.1007/s12517-016-2561-0

Cited by 37 publications

(11 citation statements)

References 232 publications

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“…Annual streamflow during the period 1972-2003 was 79% of the baseline period (1952)(1953)(1954)(1955)(1956)(1957)(1958)(1959)(1960)(1961)(1962)(1963)(1964)(1965)(1966)(1967)(1968)(1969)(1970)(1971). Models are also used for projections of future states of hydrological systems due to climate change (Kour et al, 2016). This makes it possible to use models in the socio-economic development of countries and in government management (Refsgaard, 2007.…”

Section: Abstract: Hydrograph Model Parametrization Runoff Formatiomentioning

confidence: 99%

Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment

McLennan-Smith¹,

Nelson²,

Jovanoski³

et al. 2019

El Sawah, S. (Ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation.

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This research assesses the possibility of using unique special observations data at the Suntar-Hayata station in Eastern Siberia (it was operating from 1957-1959 under the program of the International Geophysical Year) to develop and apply methods for modelling hydrological processes in the permafrost zone under conditions of poor information content to identify flow changes and understand the causes of their occurrence.

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Section: Abstract: Hydrograph Model Parametrization Runoff Formatiomentioning

confidence: 99%

Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment

McLennan-Smith¹,

Nelson²,

Jovanoski³

et al. 2019

El Sawah, S. (Ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation.

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“…Models are simple representations of the real world (Sorooshian et al, 2008) and are increasingly used to support natural resources management (Jakeman et al, 2006). Hydrological models have been developed to describe the nonlinear and dynamic transformation of precipitation into runoff through processes such as surface and subsurface flows, infiltration, interception, evaporation, transpiration, snowmelt, and so on (Kour et al, 2016). Such models comprise a set of equations used to estimate the runoff as a function of various parameters used to express the watershed characteristics (Devi et al, 2015) such as geography, geology, and land use (Jajarmizadeh et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A methodological framework for the hydrological model selection process in water resource management projects

Ghonchepour

Sadoddin

Bahremand

et al. 2021

Natural Resource Modeling

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This study aims to present a process for hydrological model exploration for selecting an appropriate model compatible with the modeling objectives. The process consists of three stages: (1) initial choice based on the modeling objectives; (2) model selection based on intercomparison among underlying conceptualizations of the models; and (3) final model selection based on influencing criteria such as availability of the model software and documentation, and availability of appropriate data. As an applied example, the process was used to find an appropriate model for a project to evaluate water supply and demand under climate and land use change scenarios in the Gorgan‐rud River Basin, Iran. The criteria affecting the final choice of a hydrological model were classified into three categories: (1) criteria related to the model, (2) criteria related to the model user, and (3) criteria related to the study area.

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“…It can be expected that the runoff regime will have a different dynamics that could lead to more frequent and extreme flood events due to climate change. Numerous studies have been carried out to assess the possible impact of climate change on the hydrological regime [2]. In [3], it was stated that global flood risk could rise by 187% due to the climate change impact compared to the situation without climate change.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Rain-On-Snow Floods under Climate Change

et al. 2020

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Rain-on-snow (ROS) floods can cause economic damage and endanger human lives due to the compound effect of rainfall and snowmelt, especially under climate change. In this study, possible future changes of seasonality, magnitude and frequency characteristics of ROS floods were investigated for the selected catchments in Slovenia, Europe. For this purpose, five global/regional climate models (GCM/RCM) combinations were applied using the RCP4.5 climate scenario for the period 1981–2100. To determine ROS floods’ characteristics in the future, a lumped conceptual hydrological model Génie Rural à 6 paramètres Journalier (GR6J) with snow module CemaNeige was applied. The results indicate that the number of ROS floods could increase in the future. Moreover, also the magnitudes of extreme ROS floods could increase, while a slight decrease in the median values of ROS flood magnitudes was observed. The strength of seasonality for a high-altitude catchment could decrease in the future. A slight shift in the average ROS floods’ timing could be expected. Furthermore, a catchment located in a temperate continental climate could have a different response to the climate change impact in comparison to a catchment located in a mountain climate with alpine characteristics. Additionally, differences among investigated climate models show a large variability.

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Climate and hydrological models to assess the impact of climate change on hydrological regime: a review

Cited by 37 publications

References 232 publications

Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment

Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment

A methodological framework for the hydrological model selection process in water resource management projects

Investigation of Rain-On-Snow Floods under Climate Change

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