An Assessment of the Recent Past and Future Climate Change, Glacier Retreat, and Runoff in the Caucasus Region Using Dynamical and Statistical Downscaling and HBV-ETH Hydrological Model

2009 ◽  
pp. 63-72 ◽  
Author(s):  
Maria Shahgedanova ◽  
Wilfried Hagg ◽  
Martina Zacios ◽  
Victor Popovnin
Keyword(s):  
Climate Change ◽  
Statistical Downscaling ◽  
Hydrological Model ◽  
Future Climate ◽  
Glacier Retreat ◽  
Future Climate Change ◽  
Recent Past ◽  
The Caucasus ◽  
Caucasus Region

scholarly journals Possible Future Climate Change Impacts on the Hydrological Drought Events in the Weihe River Basin, China

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Fei Yuan ◽  
Mingwei Ma ◽  
Liliang Ren ◽  
Hongren Shen ◽  
Yue Li ◽  
...  
Keyword(s):  
Climate Change ◽  
Hydrological Model ◽  
Climate Change Impacts ◽  
Hydrological Drought ◽  
Future Climate ◽  
Future Climate Change ◽  
Drought Assessment ◽  
Weihe River ◽  
Weihe River Basin ◽  
A1b Scenario

Quantitative evaluation of future climate change impacts on hydrological drought characteristics is one of important measures for implementing sustainable water resources management and effective disaster mitigation in drought-prone regions under the changing environment. In this study, a modeling system for projecting the potential future climate change impacts on hydrological droughts in the Weihe River basin (WRB) in North China is presented. This system consists of a large-scale hydrological model driven by climate outputs from three climate models (CMs) for future streamflow projections, a probabilistic model for univariate drought assessment, and a copula-based bivariate model for joint drought frequency analysis under historical and future climates. With the observed historical climate data as the inputs, the Variable Infiltration Capacity hydrological model projects an overall runoff reduction in the WRB under the Intergovernmental Panel on Climate Change A1B scenario. The univariate drought assessment found that although fewer hydrological drought events would occur under A1B scenario, drought duration and severity tend to increase remarkably. Moreover, the bivariate drought assessment reveals that future droughts in the same return period as the baseline droughts would become more serious. With these trends in the future, the hydrological drought situation in the WRB would be further deteriorated.

scholarly journals Prediction of Future Climate Change for Rainfall in the Upper Kurau River Basin, Perak Using Statistical Downscaling Model (SDSM)

2019 ◽  
Vol 7 (6A) ◽  
pp. 33-42
Author(s):  
Nuramidah Hamidon ◽  
Sobri Harun ◽  
Norshuhaila Mohamed Sunar ◽  
Nor Hazren A.Hamid ◽  
Mimi Suliza Muhamad ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Statistical Downscaling ◽  
Future Climate ◽  
Future Climate Change ◽  
Statistical Downscaling Model

scholarly journals Quantifying the Impact of Future Climate Change on Runoff in the Amur River Basin Using a Distributed Hydrological Model and CMIP6 GCM Projections

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1560
Author(s):  
Ke Wen ◽  
Bing Gao ◽  
Mingliang Li
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Hydrological Model ◽  
Future Climate ◽  
Future Climate Change ◽  
Amur River Basin ◽  
Distributed Hydrological Model ◽  
Hydrological Response ◽  
Amur River ◽  
The Amur River

The Amur River is one of the top ten longest rivers in the world, and its hydrological response to future climate change has been rarely investigated. In this study, the outputs of four GCMs in the Coupled Model Intercomparison Project Phase 6 (CMIP6) were corrected and downscaled to drive a distributed hydrological model. Then, the spatial variations of runoff changes under the future climate conditions in the Amur River Basin were quantified. The results suggest that runoffs will tend to increase in the future period (2021–2070) compared with the baseline period (1961–2010), particularly in August and September. Differences were also found among different GCMs and scenarios. The ensemble mean of the GCMs suggests that the basin-averaged annual precipitation will increase by 14.6% and 15.2% under the SSP2-4.5 and SSP5-8.5 scenarios, respectively. The increase in the annual runoff under the SSP2-4.5 scenario (22.5%) is projected to be larger than that under the SSP5-8.5 scenario (19.2%) at the lower reach of the main channel. Future climate changes also tend to enhance the flood peak and flood volume. The findings of this study bring new understandings of the hydrological response to future climate changes and are helpful for water resource management in Eurasia.

Responses of Irish Vegetation to Future Climate Change

2006 ◽  
Vol 106 (3) ◽  
pp. 323-334 ◽  
Author(s):  
Michael B. Jones ◽  
Alison Donnelly ◽  
Fabrizio Albanito
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Future Climate Change
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