Prof. Dr. Dirk Schindler

Prof. Dr. Dirk Schindler
Professor 

Hebelstr. 27, Hinterhaus
79085 Freiburg
Room 01 005

Biography

Dirk Schindler studied Forest Sciences at the University of Freiburg and completed his doctorate in 2004 in the field of meteorology. From 2004 to 2015 he was a member of the scientific staff at the Chair of Environmental Meteorology. In 2013, he habilitated at the University of Freiburg in Environmental Meteorology. In the period 2015 to 2017, he represented the Chair of Environmental Meteorology.

Research

The subject of Dirk Schindler's research are interactions between the Earth's surface and the atmospheric boundary layer. He is currently investigating wind-tree interactions that cause storm damage to trees and forests. Against the background of current climate change, he explores ways to enhance efficiency in the utilization of the available wind resource.

Current Research Projects

• Pressure pumping and methane oxidation in soils (DFG)
• STREEM (DFG)
• I4C - Intelligence for Cities (KI-Leuchttürme, BMU)
• Hartheim Research Forest ICOS Site

Recent publications

Articles in peer-reviewed journals

• Briegel F, Wehrle J, Schindler D, Christen A, 2024: High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning. Geoscientific Model Development, 17: 1667-1688.
• Ilgen K, Schindler D, Armbruster A, Ladwig R, Eppinger Ruiz der Zarate I, Lange J, 2024: Evaporation reduction and energy generation potential using floating photovoltaic power plants on the Aswan High Dam Reservoir. Hydrological Sciences Journal, accepted.
• Kolbe S, Pfenning M, Schindler D, 2024: Wind-induced torsional vibration in a ponderosa pine tree. Forest Ecology and Management, 553: 121638.
• Kolbe S, Kammel F, Schmitt A, Reiterer A, Schindler D, 2024: Mode coupling and signal energy distribution in an open-grown European beech tree. Forest Ecology and Management, 560: 121845.

• Ilgen K, Schindler D, Wieland S, Lange J, 2023: The Impact of Floating Photovoltaic Power Plants on Lake Water Temperature and Stratification. Scientific Reports, 13: 7932.
• Jung C, Schindler D, 2023:The properties of the global offshore wind turbine fleet. Renewable & Sustainable Energy Reviews, 186: 113667.
• Jung C, Schindler D, 2023: Reasons for the Recent Onshore Wind Capacity Factor Increase. Energies, 16: 5390.
• Jung C, Schindler D, 2023: Efficiency and effectiveness of global onshore wind energy utilization. Energy Conversion and Management, 280: 116788.
• Jung C, Schindler D, 2023: Comprehensive validation of 68 wind speed models highlights the benefits of ensemble approaches. Energy Conversion and Management, 286: 117012.
• Jung C, Schindler D, 2023: Introducing a new wind speed complementarity model. Energy, 265: 126284.
• Miller TW, Stangler DF, Larysch E, Honer H, Puhlmann H, Schindler D, Jung C, Seifert T, Rigling A, Kahle H-P, 2023: Later growth onsets or reduced growth rates: what characterises legacy effects at the tree-ring level in conifers after the severe 2018 drought? Science of the Total Environment, 854: 158703.
• Osterholt L, Maier M, Schindler D, 2023: Small lateral air pressure gradients generated by a large chamber system have a strong effect on CO₂ transport in soil. European Journal of Soil Science, 74: e13405.
• Sander L, Jung C, Schindler D, 2023: New concept of renewable energy priority zones for efficient onshore wind and solar expansion. Energy Conversion and Management, 294: 117575
• Zeppenfeld T, Jung C, Schindler D, Sennhenn-Reulen H, Ipsen MJ, Schmidt M, 2023: Winter storm risk assessment in forests with high resolution gust speed data. European Journal of Forest Research, 142: 1045–1058.

• Garamszegi B, Jung C, Schindler D, 2022: Multispectral spaceborne proxies of predisposing forest structure-attributes to storm disturbance – a case study from Germany. Forests, 13: 2114.
• Haberstroh S, Werner C, Grün M, Kreuzwieser J, Seifert T, Schindler D, Christen A, 2022: Central European 2018 hot drought shifts Scots Pine forest to its tipping point. Plant Biology, https://doi.org/10.1111/plb.13455.
• Jung C, Schindler D, 2022: Projections of energy yield- and complementarity-driven wind energy expansion scenarios in the European Union. Energy Conversion and Management, 269: 116160.
• Jung C, Schindler D, 2022: A review of recent studies on wind resource projections under climate change. Renewable & Sustainable Energy Reviews, 165: 112596.
• Jung C, Schindler D, 2022: Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor. Nature Energy, https://doi.org/10.1038/s41560-022-01056-z.
• Jung C, Schindler D, 2022: On the influence of wind speed model resolution on the global technical wind energy potential. Renewable & Sustainable Energy Reviews, 156: 112001.
• Jung C, Demant L, Meyer P, Schindler D, 2022: Highly resolved modeling of extreme wind speed in North America and Europe. Atmospheric Science Letters, e1082.
• Kolbe S, Mohr M, Maier M, Osterholt L, Gardiner B, Schindler D, 2022: On the potential of using air pressure fluctuations to estimate wind-induced tree motion in a planted Scots pine forest. Forests, 13: 225.
• Kolbe S, Rentschler F, Frey J, Seifert T, Gardiner B, Detter A, Schindler D, 2022: Assessment of effective wind loads on individual plantation-grown forest trees. Forests, 13: 1026.
• Miller TW, Stangler DF, Larysch E, Honer H, Puhlmann H, Schindler D, Jung C, Seifert T, Rigling A, Kahle H-P, 2022: Later growth onsets or reduced growth rates: what characterises legacy effects at the tree-ring level in conifers after the severe 2018 drought? Science of the Total Environment, 854: 158703.
• Nickl J, Kolbe S, Schindler D, 2022: Enhancing TreeMMoSys with a high-precision strain gauge to measure the wind-induced response of trees down to the ground. HardwareX, 12: e00379.
• Schindler D, Sander L, Jung C, 2022: Importance of renewable resource variability for electricity mix transformation: a case study from Germany based on electricity market data. Journal of Cleaner Production, 379: 134728.

• Behr HD, Jung C, Trentmann J, Schindler D, 2021: Using satellite data for assessing spatiotemporal variability and complementarity of solar resources – a case study from Germany. Meteorologische Zeitschrift, 30: 515-532.
• Grau L, Jung C, Schindler D, 2021: Sounding out the repowering potential of wind energy – a scenario-based assessment from Germany. Journal of Cleaner Production, 293: 126094.
• Jackson TD, Sethi S, Dellwik E, Angelou N, Bunce A, van Emmerik T, Duperat M,  Ruel J-C, Wellpott A, Van Bloem S, Achim A, Kane B, Ciruzzi DM, Loheide II SP, James K, Burcham D, Moore J, Schindler D, Kolbe S, Wiegmann K, Rudnicki M, Lieffers VJ, Selker J, Gougherty AV, Newson T, Koeser A, Miesbauer J, Samelson R, Wagner J, Coomes D, Gardiner B, 2021: The motion of trees in the wind: a data synthesis. Biogeosciences, 18: 4049-4072.
• Jung C, Schindler D, 2021: Does the winter storm-related wind gust intensity in Germany increase under warming climate? – A high-resolution assessment. Weather and Climate Extremes, 33: 100360.
  
• Jung C, Schindler D, 2021: Distance to power grids and consideration criteria reduce global wind energy potential the most. Journal of Cleaner Production, 317: 128472.
• Jung C, Schindler D, 2021: The role of the power law exponent in wind energy assessment – A global analysis. International Journal of Energy Research, 1-13.
• Jung C, Schindler D, 2021: A global wind farm potential index to increase energy yields and accessibility. Energy, 231: 120923.
• Jung C, Schindler D, 2021: Modeling wind turbine-related greenhouse gas payback times in Europe at high spatial resolution. Energy Conversion and Management, 243: 114334.
• Kolbe S, Schindler D, 2021: TreeMMoSys: A low cost sensor network to measure wind-induced tree response.  HardwareX, 9: e00180.

• Rustler P, Schindler D, Voll RE, Kollert F, 2021: Acute sarcoidosis clusters in cold season and is associated with ambient air pollution: a retrospective clinical-meteorological study. Annals of the American Thoracic Society, 18: 1415-1417.

• Sander L, Jung C, Schindler D, 2021: Greenhouse gas savings potential under repowering of onshore wind turbines and climate change: a case study from Germany. Wind, 1: 1-19.
• Schindler D, Schmidt-Rohr S, Jung C, 2021: On the spatiotemporal complementarity of the European onshore wind resource. Energy Conversion and Management, 237: 114098.
• Unnewehr JF, Jalbout E, Jung C, Schindler D, Weidlich A, 2021: Getting more with less? Why repowering onshore wind farms does not always lead to more wind power generation - A German case study. Renewable Energy, 180: 245-257.

• Bonn B, Kreuzwieser J, Magh R-K, Rennenberg H, Schindler D, Sperlich D, Trautmann R, Yousefpour R, Grote R, 2020: Expected impacts of mixing European beech with silver fir on regional air quality and radiation balance. Climate, 8: 105.
• Jung C, Schindler D, 2020: The annual cycle and intra-annual variability of the global wind power distribution estimated by the system of wind speed distributions. Sustainable Energy Technologies and Assessments, 42: 100852.
• Jung C, Schindler D, 2020: Integration of small-scale surface properties in a new high resolution global wind speed model. Energy Conversion and Management, 210: 112733.
• Jung C, Schindler D, 2020: Introducing a new approach for wind energy potential assessment under climate change at the wind turbine scale. Energy Conversion and Management, 225: 113425.
• Schindler D, Jung C, 2020: Winter storms over Germany's forests 1981-2018. Allgemeine Forst- und Jagdzeitung, 190: 205-214.
• Schindler D, Behr HD, Jung C, 2020: On the spatiotemporal variability and potential of complementarity of wind and solar resources. Energy Conversion and Management, 218: 113016.
• Schindler D, Kolbe S, 2020: Assessment of the response of a Scots pine tree to effective wind loading. Forests, 11: 145.

• 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: On the inter-annual variability of wind energy generation – A case study from Germany. Applied Energy, 230: 845-854.
• 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, 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.
• 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.