Articles | Volume 12, issue 7
Model evaluation paper
11 Jul 2019
Model evaluation paper |  | 11 Jul 2019

A spatial evaluation of high-resolution wind fields from empirical and dynamical modeling in hilly and mountainous terrain

Christoph Schlager, Gottfried Kirchengast, Juergen Fuchsberger, Alexander Kann, and Heimo Truhetz

Related authors

Empirical high-resolution wind field and gust model in mountainous and hilly terrain based on the dense WegenerNet station networks
Christoph Schlager, Gottfried Kirchengast, and Juergen Fuchsberger
Atmos. Meas. Tech., 11, 5607–5627,,, 2018
Short summary

Related subject area

Atmospheric sciences
Description and evaluation of the new UM–UKCA (vn11.0) Double Extended Stratospheric–Tropospheric (DEST vn1.0) scheme for comprehensive modelling of halogen chemistry in the stratosphere
Ewa M. Bednarz, Ryan Hossaini, N. Luke Abraham, and Martyn P. Chipperfield
Geosci. Model Dev., 16, 6187–6209,,, 2023
Short summary
A robust error correction method for numerical weather prediction wind speed based on Bayesian optimization, variational mode decomposition, principal component analysis, and random forest: VMD-PCA-RF (version 1.0.0)
Shaohui Zhou, Chloe Yuchao Gao, Zexia Duan, Xingya Xi, and Yubin Li
Geosci. Model Dev., 16, 6247–6266,,, 2023
Short summary
Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2)
Simone Tilmes, Michael J. Mills, Yunqian Zhu, Charles G. Bardeen, Francis Vitt, Pengfei Yu, David Fillmore, Xiaohong Liu, Brian Toon, and Terry Deshler
Geosci. Model Dev., 16, 6087–6125,,, 2023
Short summary
A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx
Dien Wu, Joshua L. Laughner, Junjie Liu, Paul I. Palmer, John C. Lin, and Paul O. Wennberg
Geosci. Model Dev., 16, 6161–6185,,, 2023
Short summary
The Hydro-ABC model (Version 2.0): a simplified convective-scale model with moist dynamics
Jiangshan Zhu and Ross Noel Bannister
Geosci. Model Dev., 16, 6067–6085,,, 2023
Short summary

Cited articles

Abdel-Aal, R., Elhadidy, M., and Shaahid, S.: Modeling and forecasting the mean hourly wind speed time series using GMDH-based abductive networks, Renew. Ener., 34, 1686–1699,, 2009. a
Awan, N. K., Truhetz, H., and Gobiet, A.: Parameterization-induced error characteristics of MM5 and WRF operated in climate mode over the alpine region: An ensemble-based analysis, J. Climate, 24, 3107–3123,, 2011. a
Bartalev, S., Belward, A., Ershov, D., and S. Isaev, A.: A new SPOT4-VEGETATION derived land cover map of Northern Eurasia, Int. J. Remote Sens., 24, 1977–1982,, 2003. a
Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., and Balsamo, G.: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales, Q. J. Roy. Meteor. Soc., 134, 1337–1351,, 2008. a
Bellasio, R., Maffeis, G., Scire, J. S., Longoni, M. G., Bianconi, R., and Quaranta, N.: Algorithms to Account for Topographic Shading Effects and Surface Temperature Dependence on Terrain Elevation in Diagnostic Meteorological Models, Bound.-Lay. Meteor., 114, 595–614,, 2005. a, b
Short summary
Empirical high-resolution surface wind fields from two study areas, automatically generated by a weather diagnostic application, were intercompared with wind fields of different modeling approaches. The focus is on evaluating spatial differences and displacements between the different datasets. In general, the spatial verification indicates a better statistical agreement for the first study area (hilly WegenerNet Feldbach Region), than for the second one (mountainous WegenerNet Johnsbachtal).