Conference Agenda

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Session Overview
Session
WS 1.1.A: Climate information for impact modeling
Time:
Monday, 09/Sep/2019:
1:30pm - 3:00pm

Session Chair: Mathias Rotach
Moderator: Brigitta Goger
Location: SOWI - UR 3
Session Topics:
Workshop 1.1.A: Climate information for impact modeling

Session Abstract

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.


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Presentations
1:30pm - 1:33pm

Climate data for large scale glacier modelling

Maussion, Fabien

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

Pritchard, David; Forsythe, Nathan; Fowler, Hayley

Newcastle University, United Kingdom



1:39pm - 1:42pm

Modern climate variability and increase of hazard in Altai Mountains

Malygina, Natalia1; Barlyaeva, Tatiana2; Demberel, Otgonbayar3

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

Bertoldi, Giacomo1; Bortoli, Elisa1; Sartori, Alberto4; Cozzini, Stefano2,3; Dall'Amico, Matteo5; Bavay, Mathias6; Engel, Michael7; Brenner, Johannes8

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.

Anquetin, Sandrine1; Beaumet, Julien1; Courtial, Léa1; Gallée, Hubert1; Morin, Samuel2; Menegoz, Martin1; Ruin, Isabelle1; Wilhelm, Bruno1

1Univ. Grenoble Alpes, CNRS, IRD, IGE, Grenoble, France; 2Météo-France, CNRM-CEN, Grenoble, France



1:48pm - 1:51pm

The new CH2018 Climate Scenarios for Switzerland: Value, limitations, future developments

Kotlarski, Sven; Fischer, Andreas

Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland



1:51pm - 1:54pm

Testing a stochastic weather generator for multivariate climate extremes in present climate across Europe

Dabhi, Hetal1; Rotach, Mathias1; Dubrovsky, Martin2,3

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

Fiddes-Caduff, Joel1; Lehning, Michael1; Aalstad, Kristoffer2; Westermann, Sebastian2

1WSL Insititute for Snow and Avalanche Research SLF; 2University of Oslo



 
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