Zobrazeno 1 - 10
of 25
pro vyhledávání: '"S.C. Pryor"'
Autor:
S.C. Pryor, Jacob Coburn
Publikováno v:
Journal of Climate. 36:511-529
Climate modes play an important role in weather and climate variability over multiple spatial and temporal scales. This research assesses Earth system model (ESM) projections of the spatiotemporal characteristics of key internal climate modes (NAM, S
Autor:
S.C. Pryor, Jacob Coburn
Publikováno v:
Journal of Applied Meteorology and Climatology. 62:81-101
Capacity factors (CFs) derived from daily expected power at 22 operating wind farms in different regions of North America are used as predictands to train statistical downscaling algorithms using output from ERA5. The statistical downscaling models a
Publikováno v:
Earth and Space Science. 9
Autor:
S.C. Pryor, Rebecca J Barthelmie
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 3463-3484 (2019)
An automated wind turbine wake characterization algorithm has been developed and applied to a data set of over 19 000 scans measured by a ground-based scanning Doppler lidar at Perdigão, Portugal, over the period January to June 2017. Potential wa
Publikováno v:
Journal of Physics: Conference Series. 2265:022040
Simulations of the New York offshore wind energy lease area are undertaken within the PyWake program using both NOJ wake parameterization and the Fuga model. Seven different wind farm layouts are simulated to evaluate how the potential annual energy
Publikováno v:
Journal of Physics: Conference Series. 2265:022037
Projected power output and wake extents are presented from new simulations with the Weather Research and Forecasting (WRF) model v4.2.2 for the large offshore wind energy lease areas along the U.S. east coast. These simulations assume nearly 2000 IEA
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Pp 14457-14471 (2017)
The static energy content of the atmosphere is increasing on a global scale, but exhibits important subglobal and subregional scales of variability and is a useful parameter for integrating the net effect of changes in the partitioning of energy at t
Publikováno v:
Atmospheric Measurement Techniques, Vol 9, Iss 8, Pp 4123-4139 (2016)
A high-fidelity lidar turbulence measurement technique relies on accurate estimates of radial velocity variance that are subject to both systematic and random errors determined by the autocorrelation function of radial velocity, the sampling rate, an
Autor:
S.C. Pryor, A.N. Hahmann
Winds within the atmospheric boundary layer (i.e., near to Earth’s surface) vary across a range of scales from a few meters and sub-second timescales (i.e., the scales of turbulent motions) to extremely large and long-period phenomena (i.e., the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acc032947320eeccd46249e59c39d78b
https://doi.org/10.1093/acrefore/9780190228620.013.730
https://doi.org/10.1093/acrefore/9780190228620.013.730