Publications Prof. Dr. Dirk Schindler

Publications in peer-reviewed journals

• Albrecht A, Jung C, Schindler D, 2019: Improving empirical storm damage models by coupling with high-resolution gust speed data. Agricultural and Forest Meteorology, 268:23-31.
• Jung C, Schindler D, 2019: Precipitation Atlas for Germany (GePrA). Atmosphere, 10, 737.
• Jung C, Schindler D, 2019: Wind speed distribution selection - a review of recent development and progress. Renewable & Sustainable Energy Reviews 114, 109290.
• Jung C, Schindler D, 2019: Changing wind speed distributions under future global climate. Energy Conversion and Management 198, 111841.
• Jung C, Schindler D, 2019: The role of air density in wind energy assessment - A case study from Germany. Energy, 171: 385-392.
• Jung C, Schindler D, 2019: Historical Winter Storm Atlas for Germany (GeWiSA). Atmosphere, 10, 387.
• Jung C, Taubert D, Schindler D, 2019: The temporal variability of global wind energy - Long-term trends and inter-annual variability. Energy Conversion and Management, 188: 462-472.
• Laemmel T, Mohr M, Schack-Kirchner H, Schindler D, Maier M, 2019: 1D air pressure fluctuations cannot fully explain the natural pressure-pumping effect on soil gas transport. Soil Science Society of America Journal, DOI:10.2136/sssaj2018.09.0379.
• Laemmel T, Mohr M, Longdoz B, Schack-Kirchner H, Lang F, Schindler D, Maier M, 2019: From above the
  forest into the soil – How wind affects soil gas transport through air pressure fluctuations. Agricultural and Forest
  Meteorology, 265: 424-434.
• Mohr M, Laemmel T, Maier M, Schindler D, 2019: Inexpensive high-precision system for measuring air pressure fluctuations. Meteorological Applications, DOI: 10.1002/met.1815.
• Schindler D, Mohr M, 2019: No resonant response of Scots pine trees to wind excitation. Agricultural and Forest Meteorology, 265: 227-244.

• Jung C, Schindler D, 2018: Sensitivity analysis of the system of wind speed distributions.  Energy Conversion and Management, 177:376-384.
• 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, 2018: On the inter-annual variability of wind energy generation – A case study from Germany. Applied Energy, 230: 845-854.
• Jung C, Schindler D, Grau L, 2018: Achieving Germany’s wind energy expansion target with an improved wind turbine siting approach. Energy Conversion and Management, 173: 383-398.
• Jung C, Schindler D, Laible J, 2018: National and global wind resource assessment under six wind turbine installation scenarios. Energy Conversion and Management, 156: 403-415.
• Jung C, Nagel L, Schindler D, Grau L, 2018: Fossil fuel reduction potential in Germany's transport sector by wind-to-hydrogen. International Journal of Hydrogen Energy, 43: 23132-23138.
• Laemmel T, Mohr M, Longdoz B, Schack-Kirchner H, Lang F, Schindler D, Maier M, 2018: From above the forest into the soil - how wind affects soil gas transport through air pressure fluctuations. Agricultural and Forest Meteorology, accepted.
• 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, Jung C, 2018: Copula-based estimation of directional wind energy yield: A case study from Germany. Energy Conversion and Management, 169: 359-370.
• 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.

• Jung C, Schindler D, 2016: Modelling monthly near-surface maximum daily gust speed distributions in Southwest Germany. International Journal of Climatology, 36: 4058-4070.
• Jung C, Schindler D, Albrecht AT, Buchholz A., 2016: The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany. Atmosphere, 7: 7.
• Mölter T, Schindler D, Albrecht AT, Kohnle U, 2016: Review on the Projections of Future Storminess over the North Atlantic European Region. Atmosphere, 7: 60.
• Mohr M, Schindler D, 2016: Coherent Momentum Exchange above and within a Scots Pine Forest. Atmosphere, 7: 61.
• Mohr M, Laemmel T, Maier M, Schindler D, 2016: Analysis of Air Pressure Fluctuations and Topsoil Gas Concentrations within a Scots Pine Forest. Atmosphere, 7: 125.
• Schindler D, Jung C, Buchholz, A, 2016: Using highly resolved maximum gust speed as predictor for forest storm damage caused by the high-impact winter storm Lothar in Southwest Germany. Atmospheric Science Letters, 17: 462-469.