A comparative assessment of climate change impacts on drought over Korea based on multiple climate projections and multiple drought indices

AbstractIn Humboldt Bay, tectonic subsidence exacerbates sea-level rise (SLR). To build surface elevations and to keep pace with SLR, the sediment demand created by subsidence and SLR must be balanced by an adequate sediment supply. This study used an ensemble of plausible future scenarios to predict potential climate change impacts on suspended-sediment discharge (Qss) from fluvial sources. Streamflow was simulated using a deterministic water-balance model, and Qss was computed using statistical sediment-transport models. Changes relative to a baseline period (1981–2010) were used to assess climate impacts. For local basins that discharge directly to the bay, the ensemble means projected increases in Qss of 27% for the mid-century (2040–2069) and 58% for the end-of-century (2070–2099). For the Eel River, a regional sediment source that discharges sediment-laden plumes to the coastal margin, the ensemble means projected increases in Qss of 53% for the mid-century and 99% for the end-of-century. Climate projections of increased precipitation and streamflow produced amplified increases in the regional sediment supply that may partially or wholly mitigate sediment demand caused by the combined effects of subsidence and SLR. This finding has important implications for coastal resiliency. Coastal regions with an increasing sediment supply may be more resilient to SLR. In a broader context, an increasing sediment supply from fluvial sources has global relevance for communities threatened by SLR that are increasingly building resiliency to SLR using sediment-based solutions that include regional sediment management, beneficial reuse strategies, and marsh restoration.

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Climate change impacts and uncertainty on spatiotemporal variations of drought indices for an irrigated catchment

Journal of Hydrology ◽

10.1016/j.jhydrol.2021.126814 ◽

2021 ◽

pp. 126814

Author(s):

San Shing Chan ◽

Ida Karlsson Seidenfaden ◽

Karsten Høgh Jensen ◽

Torben Obel Sonnenborg

Keyword(s):

Climate Change ◽

Climate Change Impacts ◽

Drought Indices ◽

Spatiotemporal Variations

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Comparison of suitable drought indices for climate change impacts assessment over Australia towards resource management

International Journal of Climatology ◽

10.1002/joc.1649 ◽

2008 ◽

Vol 28 (10) ◽

pp. 1283-1292 ◽

Cited By ~ 139

Author(s):

F. Mpelasoka ◽

K. Hennessy ◽

R. Jones ◽

B. Bates

Keyword(s):

Climate Change ◽

Resource Management ◽

Climate Change Impacts ◽

Drought Indices

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Future humidity extremes in an urban-rural context - using regional climate model projections down to convection permitting scales for Berlin

10.5194/egusphere-egu21-12054 ◽

2021 ◽

Author(s):

Gaby S. Langendijk ◽

Diana Rechid ◽

Daniela Jacob

Keyword(s):

Climate Change ◽

Urban Areas ◽

Climate Models ◽

Climate Model ◽

Regional Climate ◽

Climate Change Impacts ◽

Regional Climate Models ◽

Climate Projections ◽

Climate Data ◽

Urban Rural

Urban areas are prone to climate change impacts. A transition towards sustainable and climate-resilient urban areas is relying heavily on useful, evidence-based climate information on urban scales. However, current climate data and information produced by urban or climate models are either not scale compliant for cities, or do not cover essential parameters and/or urban-rural interactions under climate change conditions. Furthermore, although e.g. the urban heat island may be better understood, other phenomena, such as moisture change, are little researched. Our research shows the potential of regional climate models, within the EURO-CORDEX framework, to provide climate projections and information on urban scales for 11km and 3km grid size. The city of Berlin is taken as a case-study. The results on the 11km spatial scale show that the regional climate models simulate a distinct difference between Berlin and its surroundings for temperature and humidity related variables. There is an increase in urban dry island conditions in Berlin towards the end of the 21st century. To gain a more detailed understanding of climate change impacts, extreme weather conditions were investigated under a 2&#176;C global warming and further downscaled to the 3km scale. This enables the exploration of differences of the meteorological processes between the 11km and 3km scales, and the implications for urban areas and its surroundings. The overall study shows the potential of regional climate models to provide climate change information on urban scales.

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Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach

Hydrology and Earth System Sciences ◽

10.5194/hess-22-1593-2018 ◽

2018 ◽

Vol 22 (2) ◽

pp. 1593-1614 ◽

Cited By ~ 21

Author(s):

Florian Hanzer ◽

Kristian Förster ◽

Johanna Nemec ◽

Ulrich Strasser

Keyword(s):

Climate Change ◽

21St Century ◽

Snow Water Equivalent ◽

Climate Change Impacts ◽

Future Climate Change ◽

Climate Projections ◽

Early 21St Century ◽

Physically Based ◽

Snow Water ◽

High Elevations

Abstract. A physically based hydroclimatological model (AMUNDSEN) is used to assess future climate change impacts on the cryosphere and hydrology of the Ötztal Alps (Austria) until 2100. The model is run in 100 m spatial and 3 h temporal resolution using in total 31 downscaled, bias-corrected, and temporally disaggregated EURO-CORDEX climate projections for the representative concentration pathways (RCPs) 2.6, 4.5, and 8.5 scenarios as forcing data, making this – to date – the most detailed study for this region in terms of process representation and range of considered climate projections. Changes in snow coverage, glacierization, and hydrological regimes are discussed both for a larger area encompassing the Ötztal Alps (1850 km2, 862–3770 m a.s.l.) as well as for seven catchments in the area with varying size (11–165 km2) and glacierization (24–77 %). Results show generally declining snow amounts with moderate decreases (0–20 % depending on the emission scenario) of mean annual snow water equivalent in high elevations (> 2500 m a.s.l.) until the end of the century. The largest decreases, amounting to up to 25–80 %, are projected to occur in elevations below 1500 m a.s.l. Glaciers in the region will continue to retreat strongly, leaving only 4–20 % of the initial (as of 2006) ice volume left by 2100. Total and summer (JJA) runoff will change little during the early 21st century (2011–2040) with simulated decreases (compared to 1997–2006) of up to 11 % (total) and 13 % (summer) depending on catchment and scenario, whereas runoff volumes decrease by up to 39 % (total) and 47 % (summer) towards the end of the century (2071–2100), accompanied by a shift in peak flows from July towards June.

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Climate change and its impacts on river discharge in two climate regions in China

Hydrology and Earth System Sciences ◽

10.5194/hess-19-4609-2015 ◽

2015 ◽

Vol 19 (11) ◽

pp. 4609-4618 ◽

Cited By ~ 10

Author(s):

H. Xu ◽

Y. Luo

Keyword(s):

Climate Change ◽

River Discharge ◽

Climate Change Impacts ◽

High Flow ◽

Global Climate Models ◽

Assessment Tools ◽

Low Flow ◽

Climate Projections ◽

Seasonal Temperature ◽

Pronounced Increase

Abstract. Understanding the heterogeneity of climate change and its impacts on annual and seasonal discharge and the difference between median flow and extreme flow in different climate regions is of utmost importance to successful water management. To quantify the spatial and temporal heterogeneity of climate change impacts on hydrological processes, this study simulated river discharge in the River Huangfuchuan in semi-arid northern China and in the River Xiangxi in humid southern China. The study assessed the uncertainty in projected discharge for three time periods (2020s, 2050s and 2080s) using seven equally weighted GCMs (global climate models) for the SRES (Special Reports on Emissions Scenarios) A1B scenario. Climate projections that were applied to semi-distributed hydrological models (Soil Water Assessment Tools, SWAT) in both catchments showed trends toward warmer and wetter conditions, particularly for the River Huangfuchuan. Results based on seven GCMs' projections indicated changes from −1.1 to 8.6 °C and 0.3 to 7.0 °C in seasonal temperature and changes from −29 to 139 % and −32 to 85 % in seasonal precipitation in the rivers Huangfuchuan and Xiangxi, respectively. The largest increases in temperature and precipitation in both catchments were projected in the spring and winter seasons. The main projected hydrologic impact was a more pronounced increase in annual discharge in the River Huangfuchuan than in the River Xiangxi. Most of the GCMs projected increased discharge in all seasons, especially in spring, although the magnitude of these increases varied between GCMs. The peak flows were projected to appear earlier than usual in the River Huangfuchuan and later than usual in the River Xiangxi, while the GCMs were fairly consistent in projecting increased extreme flows in both catchments with varying magnitude compared to median flows. For the River Huangfuchuan in the 2080s, median flow changed from −2 to 304 %, compared to a −1 to 145 % change in high flow (Q05 exceedance threshold). For the River Xiangxi, low flow (Q95 exceedance threshold) changed from −1 to 77 % and high flow changed from −1 to 62 %, while median flow changed from −4 to 23 %. The uncertainty analysis provided an improved understanding of future hydrologic behavior in the watershed. Furthermore, this study indicated that the uncertainty constrained by GCMs was critical and should always be considered in analysis of climate change impacts and adaptation.

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Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach

10.5194/hess-2017-309 ◽

2017 ◽

Cited By ~ 4

Author(s):

Florian Hanzer ◽

Kristian Förster ◽

Johanna Nemec ◽

Ulrich Strasser

Keyword(s):

Climate Change ◽

21St Century ◽

Snow Water Equivalent ◽

Climate Change Impacts ◽

Future Climate Change ◽

Climate Projections ◽

Early 21St Century ◽

Physically Based ◽

Snow Water ◽

High Elevations

Abstract. A physically based hydroclimatological model (AMUNDSEN) is used to assess future climate change impacts on the cryosphere and hydrology of the Ötztal Alps (Austria) until 2100. The model is run in 100 m spatial and 3 h temporal resolution using in total 31 downscaled, bias-corrected, and temporally disaggregated EURO-CORDEX climate projections for the RCP2.6, RCP4.5, and RCP8.5 scenarios as forcing data. Changes in snow coverage, glacierization, and hydrological regimes are discussed both for a larger area encompassing the Ötztal Alps (1850 km2, 862–3770 m a.s.l.) as well as for seven catchments in the area with varying size (11–16 km2) and glacierization (24–77 %). Results show generally declining snow amounts with moderate decreases (0–20 % depending on the emission scenario) of mean annual snow water equivalent in high elevations (> 2500 m a.s.l.) until the end of the century, however decreases of 25–80 % in elevations below 1500 m a.s.l. Glaciers in the region will continue to retreat strongly, leaving only 4–20 % of the initial (as of 2006) ice volume left by 2100. Total and summer (JJA) runoff will change little during the early 21st century (2011–2040) with simulated decreases (compared to 1997–2006) of up to 11 % (total) and 13 % (summer) depending on catchment and scenario, whereas runoff volumes decrease by up to 39 % (total) and 47 % (summer) towards the end of the century (2071–2100), accompanied by a shift in peak flows from July towards June.

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Assessing uncertainties in climate change impacts on runoff in Western Mediterranean basins

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-371-75-2015 ◽

2015 ◽

Vol 371 ◽

pp. 75-81 ◽

Cited By ~ 9

Author(s):

D. Ruelland ◽

P. Hublart ◽

Y. Tramblay

Keyword(s):

Climate Change ◽

Climate Models ◽

Climate Change Impacts ◽

Western Mediterranean ◽

Mean Annual Precipitation ◽

Climate Projections ◽

Structural Uncertainty ◽

Clear Trend ◽

Hydrological Simulation ◽

Precipitation Decrease

Abstract. This paper investigates the uncertainties linked to climate change impacts on runoff in four mesoscale basins (900 to 1800 km2) in the Mediterranean region. Runoff simulations were based on a daily conceptual model including a snow module. The model was calibrated and validated according to a differential split-sample test over a 20-year period and four competing criterions aiming to represent model structural uncertainty based on the concept of Pareto optimality. Five regional climate models (RCMs) from the Med-CORDEX initiative were used to provide temperature and precipitation projections under RCP8.5 by 2050. The RCMs' inability to realistically simulate reference climate (notably precipitation) led us to apply a monthly perturbation method in order to produce a range of climate scenarios. The structural uncertainty bounds obtained from the hydrological simulations over the reference period showed that the model was able to correctly reproduce observed runoff despite contrasted hydrological conditions in (and in between) the basins. Climate projections were shown to be convergent regarding temperatures, which could increase by about +1 to 3 °C on each basin. In contrast, no clear trends in precipitation could be put in evidence, some RCMs leading to a mean annual precipitation decrease (up to 64%), and others to an increase (up to 33%). The hydrological projections resulted from the combination of the hydrological simulation bounds with the range of climate projections. Despite the propagation of those uncertainties, the 2050 hydrological scenarios agreed on a significant runoff decrease (2–77%) during spring on all basins. On the opposite, no clear trend in runoff could be observed for the other seasons.

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Urban-rural contrasts and extreme weather conditions in regional climate change projections across spatial and temporal scales

10.5194/dkt-12-13 ◽

2020 ◽

Author(s):

Gaby S. Langendijk ◽

Diana Rechid ◽

Daniela Jacob

Keyword(s):

Climate Change ◽

Urban Areas ◽

Climate Models ◽

Regional Climate ◽

Climate Change Impacts ◽

Regional Climate Models ◽

Weather Conditions ◽

Extreme Weather ◽

Climate Projections ◽

Urban Rural

Urban areas are prone to climate change impacts. A transition towards sustainable urban areas is relying heavily on useful, evidence-based climate information on urban scales. However, current climate data and information produced by urban or climate models are are either not scale compliant for cities, or do not cover essential parameters and/or urban-rural interactions under climate change conditions. Furthermore, although e.g. the urban heat island may be better understood, other phenomena, such as moisture change, are little researched. Our research shows the potential of regional climate models, within the EURO-CORDEX framework, to provide climate projections and information on urban scales for 11km and 3km grid size. The city of Berlin is taken as a case-study. The results on the 11km spatial scale show that the regional climate models simulate a distinct difference between Berlin and its surroundings for temperature and humidity related variables. There is an increase in urban dry island conditions in Berlin towards the end of the 21st century. To gain a more detailed understanding of climate change impacts, extreme weather conditions were investigated under a 2&#176;C global warming and further downscaled to the 3km scale. This enables the exploration of differences of the meteorological processes between the 11km and 3km scales, and the implications for urban areas and its surroundings. The overall study shows the potential of regional climate models to provide climate change information on urban scales.&#160;

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Climate change impacts on the water, energy, and food nexus: a global quantitative assessment

10.5194/egusphere-egu2020-5724 ◽

2020 ◽

Author(s):

Joreen Merks ◽

Seleshi Yalew ◽

Fulco Ludwig

Keyword(s):

Climate Change ◽

Hot Spots ◽

Climate Change Impacts ◽

Global Scale ◽

Integrated Assessment Model ◽

Assessment Model ◽

Climate Projections ◽

Impact Model ◽

Model Data ◽

The Future

Understanding the global interactions between water, energy and food production under climate change is crucial to identify arising synergies and conflicts between these sectors. Existing literature mainly focuses on the water-energy-food (WEF) nexus at a case study level as well as at policy and decision making level. Global quantitative assessments of the WEF nexus are still limited. Quantifying the nexus is challenging because it requires a framework which includes knowledge from three different fields. This becomes even more complex if we want to incorporate future climate projections and look at a global scale.Two approaches can be followed to quantify the WEF nexus. One is to use an integrated assessment model, a model that includes modules for water, energy and food. Another approach is to use separate cutting edge models from each field and bring these different model outputs together. The Inter Sectoral Impact Model Intercomparison Project (ISIMIP) gives us the opportunity to apply this second approach. In ISIMIP, many model groups provide impact model data for a variety of sectors with the same climate forcing and climate scenarios on a global scale. This means we can not only use data from the water, energy and food sectors, but we can also use multiple models per sector. This approach allows us to use unique insights from the sectoral inter-comparison studies and see their implications for the WEF nexus.&#160;&#160;This study aims to identify WEF nexus &#8216;hot spots&#8217; and how they might change in the future. Here we want to focus on locations where WEF conflicts might arise as well as spots with high development potential. We do this by, first, looking at global spatially distributed demand and supply model data per sector finding areas of surplus and deficit. Second, we combine them into several maps displaying integrated WEF nexus hot spots and their progression into the future. This study is meant to create a better global understanding of the interactions between water, energy and food sectors and how they will develop over time. The resulting maps identify regions of conflict or synergy, and can be used not only as a basis for future studies assessing resource conflicts but also as an indicator of where to harness arising opportunities.

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