| Wind speed distribution selection–A review of recent development and progress C Jung, D Schindler Renewable and Sustainable Energy Reviews 114, 109290, 2019 | 117 | 2019 |
| Global comparison of the goodness-of-fit of wind speed distributions C Jung, D Schindler Energy Conversion and Management 133, 216-234, 2017 | 107 | 2017 |
| Introducing a system of wind speed distributions for modeling properties of wind speed regimes around the world C Jung, D Schindler, J Laible, A Buchholz Energy Conversion and Management 144, 181-192, 2017 | 72 | 2017 |
| The temporal variability of global wind energy–Long-term trends and inter-annual variability C Jung, D Taubert, D Schindler Energy Conversion and Management 188, 462-472, 2019 | 68 | 2019 |
| National and global wind resource assessment under six wind turbine installation scenarios C Jung, D Schindler, J Laible Energy conversion and management 156, 403-415, 2018 | 68 | 2018 |
| On the spatiotemporal variability and potential of complementarity of wind and solar resources D Schindler, HD Behr, C Jung Energy conversion and management 218, 113016, 2020 | 64 | 2020 |
| The role of air density in wind energy assessment–A case study from Germany C Jung, D Schindler Energy 171, 385-392, 2019 | 63 | 2019 |
| Changing wind speed distributions under future global climate C Jung, D Schindler Energy conversion and management 198, 111841, 2019 | 46 | 2019 |
| The role of the power law exponent in wind energy assessment: A global analysis C Jung, D Schindler International Journal of Energy Research 45 (6), 8484-8496, 2021 | 43 | 2021 |
| On the inter-annual variability of wind energy generation–A case study from Germany C Jung, D Schindler Applied Energy 230, 845-854, 2018 | 43 | 2018 |
| Introducing a new approach for wind energy potential assessment under climate change at the wind turbine scale C Jung, D Schindler Energy conversion and management 225, 113425, 2020 | 41 | 2020 |
| Achieving Germany’s wind energy expansion target with an improved wind turbine siting approach C Jung, D Schindler, L Grau Energy conversion and management 173, 383-398, 2018 | 38 | 2018 |
| Development of a statistical bivariate wind speed-wind shear model (WSWS) to quantify the height-dependent wind resource C Jung, D Schindler Energy conversion and management 149, 303-317, 2017 | 38 | 2017 |
| 3D statistical mapping of Germany’s wind resource using WSWS C Jung, D Schindler Energy Conversion and Management 159, 96-108, 2018 | 37 | 2018 |
| On the influence of wind speed model resolution on the global technical wind energy potential C Jung, D Schindler Renewable and Sustainable Energy Reviews 156, 112001, 2022 | 34 | 2022 |
| Sensitivity analysis of the system of wind speed distributions C Jung, D Schindler Energy conversion and management 177, 376-384, 2018 | 34 | 2018 |
| Using highly resolved maximum gust speed as predictor for forest storm damage caused by the high‐impact winter storm Lothar in Southwest Germany D Schindler, C Jung, A Buchholz Atmospheric Science Letters 17 (8), 462-469, 2016 | 33 | 2016 |
| Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor C Jung, D Schindler Nature Energy 7 (7), 608-619, 2022 | 31 | 2022 |
| The role of highly-resolved gust speed in simulations of storm damage in forests at the landscape scale: A case study from southwest Germany C Jung, D Schindler, AT Albrecht, A Buchholz Atmosphere 7 (1), 7, 2016 | 30 | 2016 |
| Copula-based estimation of directional wind energy yield: A case study from Germany D Schindler, C Jung Energy conversion and management 169, 359-370, 2018 | 29 | 2018 |
