Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Workshop 1.1.A: Climate information for impact modeling
When assessing the impact of climate change on natural or anthropogenic systems (ranging from agriculture over energy production (solar, hydro) or demand to urban or regional planning), typically a physical (biological, chemical) impact model (IM) with atmospheric data as input is employed. The latter typically stem from observations when devising the IM, and are extracted from atmospheric models (weather, climate) in the application. The spatial resolution of regional climate models (order 10 km in the horizontal) is still – and for the foreseeable future - too coarse to represent the scales of interest in mountainous terrain. Over a horizontal distance of 10 km, a mountain peak as well as a valley floor location may be found – thus making it difficult to extract relevant information form a ‘grid box’ of a climate model. This may concern both, an IM to assess snow availability at the mountain-top site for purposes of planning ski tourism or an IM to assess run-off for the planning of hydro power in the valley. A number of different down-scaling approaches have been proposed in the past (statistical, dynamical, mixtures thereof), which all suffer from the problem that either the information can be obtained at one particular point (where an observation is available), but not anywhere else in the vicinity – or the information is available from high-resolution dynamical downscaling, thus having, in principle, a different topography and likely not a long enough time period covered. IMs, therefore, always suffer from the problem that they must be run (i.e., trained/validated for the present climate, applied for climate scenarios) with meteorological input parameters, which are highly uncertain at best, but possibly not representative for the conditions at the location they are used.
The goals of this workshop are to
(i) bring together the expectations/needs of the IM modelers with the ‘offers’ of the regional climate modelers
(ii) to identify areas of largest uncertainties and greatest needs and hence the areas of most relevant research needs, and possible solution pathways to the dilemma outlined above.
The target audience of this workshop are IM modelers of all kinds on the one hand and scientists with experience in (regional) climate modeling.
1:30pm - 1:33pm
Climate data for large scale glacier modelling
Universität Innsbruck, Austria
1:33pm - 1:36pm
Landscape-scale water balance in a montane forest, south-eastern Brazil using climate data at various levels of spatio-temporal resolution
Kayano, Ana1; Kittel, Timothy2; Yoshinaga, Sueli1; Nagy, Laszlo1
1University of Campinas, Brazil; 2University of Colorado Boulder, USA
1:36pm - 1:39pm
Modelling climate change impacts in mountain regions: biases, scale gaps and uncertainties
1Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences, Russian Federation; 2CITEUC, University of Coimbra, Almas de Freire, Sta. Clara, Coimbra, 3040-004, Portugal; 3Khovd State University, Mongolia
1:42pm - 1:45pm
Requirements for using integrated hydrological models for climate impact assessment studies
1Eurac research, Institute for Alpine Environment, Italy; 2CNR-IOM, Consiglio Nazionale delle Ricerche-Istituto Officina dei Materiali, Trieste, Italy.; 3Exact-lab, Trieste, Italy; 4SISSA, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy.; 5MobyGIS s.r.l., Pergine, Italy.; 6WSL Institute for Snow and Avalanche Research SLF Davos, CH; 7Faculty of Science and Technology, Free University of Bozen‐Bolzano, Italy; 8Department Computational Hydrosystems Helmholtz-Zentrum für Umweltforschung - UFZ. Leipzig, Germany
1:45pm - 1:48pm
Towards an integrated modeling approach to identify socio-ecological trajectories within alpine valleys.
1Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Austria; 2Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czech Republic; 3Global Change Research Institute, Czech Academy of Sciences, Brno, Czech Republic
1:54pm - 1:57pm
Extending limited in situ mountain weather observations to the baseline climate: A true verification case study
Hofer, Marlis; Horak, Johannes
University of Innsbruck, Austria
1:57pm - 2:00pm
TopoSCALE: deriving high resolution impact model forcings in data scarce mountain terrain