Publications PD Dr. Dirk Schindler

Jung C, Schindler D, 2018: 3D statistical mapping of Germany’s wind resource using WSWS. Energy Conversion and Management, 159: 96-108.
Jung C, Schindler D, Laible J, 2018: National and global wind resource assessment under six wind turv
Paparrizos S, Schindler D, Potouridis S, Matzarakis A, 2018: Spatio-temporal analysis of present and future precipitation responses over South Germany. Journal of Water and Climate Change, jwc2017009; DOI: 10.2166/wcc.2017.009
Schindler D, Mohr M, 2018: Non-oscillatory response to wind loading dominates movement of Scots pine trees. Agricultural and Forest Meteorology, 250-251: 206-216.

Grau L, Jung C, Schindler D, 2017: On the Annual Cycle of Meteorological and Geographical Potential of Wind Energy: A Case Study from Southwest Germany. Sustainability, 9: 1169.
Jung C, Schindler D, 2017: Development of a statistical bivariate wind speed-wind shear model (WSWS) to quantify the height-dependent wind resource. Energy Conversion and Management, 149: 303-317.
Jung C, Schindler D, 2017: Global comparison of the goodness-of-fit of wind speed distributions. Energy Conversion and Management, 133: 216-234.
Jung C, Schindler D, Buchholz A, Laible J, 2017: Global gust climate evaluation and its influence on wind turbines. Energies,10: 1474.
Jung C, Schindler D, Laible J, Buchholz A, 2017: Introducing a system of wind speed distributions for modeling properties of wind speed regimes around the world. Energy Conversion and Management, 144: 181-192.
Laemmel T, Mohr M, Schack-Kirchner H, Schindler D, Maier M, 2017: Direct observation of wind-induced pressure-pumping on gas transport in soil. Soil Science Society of America Journal. DOI: 10.2136/sssaj2017.01.0034.
Mohr M, Laemmel T, Maier M, Schindler D, 2017: Spatial variability of wind-induced air pressure fluctuations responsible for pressure pumping. Tellus B, 69:1, 1361757.