2017
DOI: 10.1007/s10584-017-2121-y
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Alpine foreland running drier? Sensitivity of a drought vulnerable catchment to changes in climate, land use, and water management

Abstract: Southeastern Austria as part of the southeastern Alpine forelands experiences an increase of temperature and a tendency of decreasing precipitation. Especially in summer, the temperature strongly increased by about 0.7°C per decade since the 1970s. Drought vulnerability under climate change is therefore a key question in this region. Here, we address this question by exploring the hydrological sensitivity of the Raab catchment in Austria (area 987 km 2), a typical catchment in these Alpine forelands. Using the… Show more

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Cited by 23 publications
(25 citation statements)
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“…Precipitation in California is highly variable from year to year (Liu et al 2018) and a recent analysis projects that inter-annual variability will increase in the future (Swain et al 2018). In light of uncertain climate projections, some watershed modeling studies have evaluated sensitivity to artificial climate perturbations rather than directly using RCM output (Vano and Lettenmaier 2014;Hohmann et al 2018). We applied a related approach, generating a catalog of historic climate scenarios drawn from WY1982-2014.…”
Section: Climate Scenariosmentioning
confidence: 99%
See 1 more Smart Citation
“…Precipitation in California is highly variable from year to year (Liu et al 2018) and a recent analysis projects that inter-annual variability will increase in the future (Swain et al 2018). In light of uncertain climate projections, some watershed modeling studies have evaluated sensitivity to artificial climate perturbations rather than directly using RCM output (Vano and Lettenmaier 2014;Hohmann et al 2018). We applied a related approach, generating a catalog of historic climate scenarios drawn from WY1982-2014.…”
Section: Climate Scenariosmentioning
confidence: 99%
“…There is a rich literature on simulating runoff from hydrologic basins, ranging from strongly process-based models (Hohmann et al 2018) to semi-distributed hydrologic routing models (Buccola et al 2016) and highly-parameterized conceptual models (Nauditt et al 2017). A critical challenge for runoff models is obtaining the data needed to discretize the simulation domain, represent highly variable properties and processes at appropriate temporal and spatial scale(s), and calibrate/validate the model against hydrologic observations (Cornelissen et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The catchment is highly developed and comprised chiefly of residential, such as Bandar Puteri, Bandar Botanic, and Taman Sentosa, with some commercial land use [29]. An increase of surface runoff as a result of land use changes will have an adverse effect on the receiving water flow-quantity and quality, and ecology system of the catchment [30,31]. A study conducted by Yang et al [32] was determined the land use from 1990 and 2009 in the Langat-Dengkil river sub-basin.…”
Section: Site Descriptionmentioning
confidence: 99%
“…The WegenerNet FBR is located in southeastern Styria, Austria and covers a dense grid of more than 150 meteorological stations within an area of about 22 km × 16 km (Kirchengast et al, 2014). The terrain of the FBR is hilly and characterized by small differences in altitude, and the region is quite sensitive to climate change (Kabas et al, 2011;Kabas, 2012;Hohmann et al, 2018). It exhibits rich weather variability, especially including strong convective activity and severe weather in summer (Kirchengast et al, 2014;Kann et al, 2015;O et al, 2017, 2018.…”
Section: Introductionmentioning
confidence: 99%
“…The terrain of the FBR is hilly and characterized by small differences in altitude, and the region is quite sensitive to climate change (Kabas et al, 2011;Kabas, 2012;Hohmann et al, 2018). It exhibits rich weather variability, especially including strong convective activity and severe weather in summer (Kirchengast et al, 2014;Kann et al, 2015;O et al, 2017, 2018. Recently, Schlager et al (2017) also analyzed wind fields in this region.…”
Section: Introductionmentioning
confidence: 99%