Ivan Güttler
Croatian Meteorological and Hydrological Service
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Publication
Featured researches published by Ivan Güttler.
Monthly Weather Review | 2015
Ivan Güttler; Igor Stepanov; Čedo Branković; Grigory Nikulin; Colin Jones
AbstractThe hydrostatic regional climate model RCA, version 3 (RCA3), of the Swedish Meteorological and Hydrological Institute was used to dynamically downscale ERA-40 and the ECMWF operational analysis over a 22-yr period. Downscaling was performed at four horizontal resolutions—50, 25, 12.5, and 6.25 km—over an identical European domain. The model-simulated precipitation is evaluated against high-resolution gridded observational precipitation datasets over Switzerland and southern Norway, regions that are characterized by complex orography and distinct climate regimes.RCA3 generally overestimates precipitation over high mountains: during winter and summer over Switzerland and during summer over central-southern Norway. In the summer, this is linked with a substantial contribution of convective precipitation to the total precipitation errors, especially at the coarser resolutions (50 and 25 km). A general improvement in spatial correlation coefficients between simulated and observed precipitation is obse...
Climate Dynamics | 2018
Andreina Belušić; Maja Telišman Prtenjak; Ivan Güttler; Nikolina Ban; David Leutwyler; Christoph Schär
Over the past few decades the horizontal resolution of regional climate models (RCMs) has steadily increased, leading to a better representation of small-scale topographic features and more details in simulating dynamical aspects, especially in coastal regions and over complex terrain. Due to its complex terrain, the broader Adriatic region represents a major challenge to state-of-the-art RCMs in simulating local wind systems realistically. The objective of this study is to identify the added value in near-surface wind due to the refined grid spacing of RCMs. For this purpose, we use a multi-model ensemble composed of CORDEX regional climate simulations at 0.11° and 0.44° grid spacing, forced by the ERA-Interim reanalysis, a COSMO convection-parameterizing simulation at 0.11° and a COSMO convection-resolving simulation at 0.02° grid spacing. Surface station observations from this region and satellite QuikSCAT data over the Adriatic Sea have been compared against daily output obtained from the available simulations. Both day-to-day wind and its frequency distribution are examined. The results indicate that the 0.44° RCMs rarely outperform ERA-Interim reanalysis, while the performance of the high-resolution simulations surpasses that of ERA-Interim. We also disclose that refining the grid spacing to a few km is needed to properly capture the small-scale wind systems. Finally, we show that the simulations frequently yield the accurate angle of local wind regimes, such as for the Bora flow, but overestimate the associated wind magnitude. Finally, spectral analysis shows good agreement between measurements and simulations, indicating the correct temporal variability of the wind speed.
Frontiers of Earth Science in China | 2016
Ivan Güttler; Ivana Marinović; Željko Večenaj; Branko Grisogono
The Prandtl model succinctly combines the 1D stationary boundary-layer dynamics and thermodynamics of simple anabatic and katabatic flows over uniformly inclined surfaces. It assumes a balance between the along-the-slope buoyancy component and adiabatic warming/cooling, and the turbulent mixing of momentum and heat. In this study, energetics of the Prandtl model is addressed in terms of the total energy (TE) concept. Furthermore, since the authors recently developed a weakly nonlinear version of the Prandtl model, the TE approach is also exercised on this extended model version, which includes an additional nonlinear term in the thermodynamic equation. Hence, interplay among diffusion, dissipation and temperature-wind interaction of the mean slope flow is further explored. The TE of the nonlinear Prandtl model is assessed in an ensemble of solutions where the Prandtl number, the slope angle and the nonlinearity parameter are perturbed. It is shown that nonlinear effects have the lowest impact on variability in the ensemble of solutions of the weakly nonlinear Prandtl model when compared to the other two governing parameters. The general behavior of the nonlinear solution is similar to the linear solution, except that the maximum of the along-the-slope wind speed in the nonlinear solution reduces for larger slopes. Also, the dominance of PE near the sloped surface, and the elevated maximum of KE in the linear and nonlinear energetics of the extended Prandtl model are found in the PASTEX-94 measurements. The corresponding level where KE>PE most likely marks the bottom of the sublayer subject to shear-driven instabilities. Finally, possible limitations of the weakly nonlinear solutions of the extended Prandtl model are raised. In linear solutions, the local storage of TE term is zero, reflecting the stationarity of solutions by definition. However, in nonlinear solutions, the diffusion, dissipation and interaction terms (where the height of the maximum interaction is proportional to the height of the low-level jet by the factor ≈4/9) do not balance and the local storage of TE attains non-zero values. In order to examine the issue of non-stationarity, the inclusion of velocity-pressure covariance in the momentum equation is suggested for future development of the extended Prandtl model.
Sustainable Development in Mountain Regions: Southeastern Europe 2nd Edition | 2016
Ivan Pilaš; Jasna Medak; Boris Vrbek; Ivan Medved; Ksenija Cindrić; Marjana Gajić-Čapka; Melita Perčec Tadić; Mirta Patarčić; Čedomir Branković; Ivan Güttler
The Dinaric mountains in Croatia present one of the hot spots of European biodiversity, possessing a very large number of species and hosting most endemics. The Dinaric mountains in Croatia strongly affect the climate of the Adriatic region, making a distinct boundary between the maritime and a continental climate. In this chapter, an overview of climatic conditions of the Dinaric area is provided, including observed climatic changes of temperatures and precipitation in the last century. Existing soil types were assessed and described, in particular with respect to soil-forming processes. The role of climate as a dominant factor of soil formation was evaluated in relationship to other factors such as lithology and topography. Also, the occurrence of a specific broad range of forest associations in Dinarides was presented. We examined the correspondence between forest vegetation, soil, and climatic properties in the Dinaric area. As a finale, some future, very possible scenarios of regional climatic development are presented as a serious hazard to the sustainability of natural forest resources. We determined the variety of soil types, ranging from soils that are characteristic for Mediterranean (on limestone) such as Terra rossa with intensive red color, calcomelanosols and calcicambisols in high karst, to soils characteristic for continental climate (on flint or silica) such as dystric cambisols and luvisols. The forest vegetation of the Dinaric mountains constitutes 54 diverse forest ecosystem types, encompassing specific combinations of soil and phytocoenoses. Existing ecosystems form nine broader groups, that is, bioclimates, which are typical for Dinarides.
Climate Dynamics | 2013
Robert Vautard; Andreas Gobiet; Daniela Jacob; Michal Belda; Augustin Colette; Michel Déqué; Jesús Fernández; M. García-Díez; Klaus Goergen; Ivan Güttler; Tomas Halenka; Theodore S. Karacostas; E. Katragkou; Klaus Keuler; Sven Kotlarski; Stephanie Mayer; Erik van Meijgaard; Grigory Nikulin; Mirta Patarčić; J. F. Scinocca; Stefan Sobolowski; Martin Suklitsch; Claas Teichmann; Kirsten Warrach-Sagi; Volker Wulfmeyer; Pascal Yiou
Quarterly Journal of the Royal Meteorological Society | 2010
Danijel Belušić; Ivan Güttler
Climate Dynamics | 2018
Philippe Drobinski; Nicolas Da Silva; Gérémy Panthou; Sophie Bastin; Caroline Muller; Bodo Ahrens; Marco Borga; Dario Conte; Giorgia Fosser; Filippo Giorgi; Ivan Güttler; Vassiliki Kotroni; Laurent Li; Efrat Morin; Baris Onol; Pere Quintana-Seguí; Raquel Romera; Csaba Torma
Climate Research | 2012
Čedo Branković; Mirta Patarčić; Ivan Güttler; Lidija Srnec
Quarterly Journal of the Royal Meteorological Society | 2015
Branko Grisogono; Toni Jurlina; Željko Večenaj; Ivan Güttler
Climate Dynamics | 2014
Ivan Güttler; Čedo Branković; Travis A. O’Brien; Erika Coppola; Branko Grisogono; Filippo Giorgi