The temporal variability of global wind energy–Long-term trends and inter-annual variability

C Jung, D Taubert, D Schindler - Energy Conversion and Management, 2019 - Elsevier
In a large number of previous studies, the technical wind energy potential was estimated
from national to global scale. Usually, it was assumed that the underlying meteorological …

[HTML][HTML] An experimental research on the use of recurrent neural networks in landslide susceptibility mapping

B Mutlu, HA Nefeslioglu, EA Sezer, MA Akcayol… - … International Journal of …, 2019 - mdpi.com
Natural hazards have a great number of influencing factors. Machine-learning approaches
have been employed to understand the individual and joint relations of these factors …

The role of air density in wind energy assessment–A case study from Germany

C Jung, D Schindler - Energy, 2019 - Elsevier
The statistical air density distribution was modeled on a high-spatial resolution scale (200
m× 200 m) and the error by using constant standard air density was estimated using …

Changing wind speed distributions under future global climate

C Jung, D Schindler - Energy Conversion and Management, 2019 - Elsevier
Based on 12 global circulation models, the simulated changes in empirical 10 m wind speed
distributions under the representative concentration pathway RCP8. 5 were quantified. It is …

Specified resilience value of alternative forest management adaptations to storms

T Hahn, J Eggers, N Subramanian… - … Journal of Forest …, 2021 - Taylor & Francis
Resilient ecosystems provide natural insurance value, or resilience value, to the landowner
and to society at large. In response to global calls for integrating biodiversity in sector policy …

On the inter-annual variability of wind energy generation–A case study from Germany

C Jung, D Schindler - Applied Energy, 2018 - Elsevier
The intermittent and stochastic nature of the wind resource complicates constant electricity
supply in countries with high wind energy share in the electricity mix. Therefore, the goal of …

High-resolution mapping of forest vulnerability to wind for disturbance-aware forestry

S Suvanto, M Peltoniemi, S Tuominen… - Forest Ecology and …, 2019 - Elsevier
Windstorms cause major disturbances in European forests. Forest management can play a
key role in making forests more persistent to disturbances. However, better information is …

[HTML][HTML] A new scanning scheme and flexible retrieval for mean winds and gusts from Doppler lidar measurements

J Steinheuer, C Detring, F Beyrich… - Atmospheric …, 2022 - amt.copernicus.org
Doppler wind lidars (DWLs) have increasingly been used over the last decade to derive the
mean wind in the atmospheric boundary layer. DWLs allow the determination of wind vector …

Effects of environmental factors and forest management on landscape-scale forest storm damage in Turkey

P Torun, AO Altunel - Annals of Forest Science, 2020 - Springer
Key message Windstorms have recently caused noteworthy destruction across the Northern
forests of Turkey. The intensive forest management practices applied for more than 60+ …

Assessment of effective wind loads on individual plantation-grown forest trees

S Kolbe, F Rentschler, J Frey, T Seifert, B Gardiner… - Forests, 2022 - mdpi.com
Quantifying wind loads acting on forest trees remains a major challenge of wind-tree-
interaction research. Under wind loading, trees respond with a complex motion pattern to the …