Article
Engineering, Civil
Xiaoying Liu, Hongwei Zhang, Songhua Wu, Qichao Wang, Zhiqiang He, Jianjun Zhang, Rongzhong Li, Shouxin Liu, Xi Zhang
Summary: This paper investigates the wind shear induced by buildings along the glide path of aircraft. The study reveals that building wakes cause a decrease in wind speed and an increase in turbulence along the glide paths, leading to wind shear events.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Optics
Shan Jiang, Zhiping Wang, An Ning, Shaoshuai Liu, Di Wang, Junsheng Feng, Longbao Yu
Summary: This paper proposes a hybrid algorithm (HGAP) to process raw data from coherent Doppler wind Lidar and search multiple Doppler peaks in complex wind field measurement. Compared with other algorithms, HGAP shows excellent performance in numerical optimization and is validated in experiments.
Article
Engineering, Civil
Mathieu Pichault, Claire Vincent, Grant Skidmore, Jason Monty
Summary: Understanding the impact of gusts on wind power generation is crucial for improving short-term prediction models. This study evaluates how spatial gust properties relate to temporal variations in power generation at the turbine and farm scale, and confirms the validity of Taylor's frozen turbulence hypothesis for gust impact prediction. The results show that gusts increase power variability, especially at the turbine level. Gusts with smaller length scales propagate at the same rate as the background flow, while larger gusts travel slightly faster. This study highlights the importance of gusts in short-term power forecasting.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Meteorology & Atmospheric Sciences
Xingxu Zhou, Chao Zhang, Yunying Li, Zitong Chen, Jie Zhang, Xingyun Ding
Summary: This paper examines the gust parameters in the lower atmosphere at different heights and their diurnal variation characteristics based on Doppler lidar data from the gentle coastal topography of Shandong Province, China. The results show distinct stratification characteristics of gust parameters and their correlation with turbulence intensity and mean airflow, providing an observational basis for studies of gust structure.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Chemistry, Multidisciplinary
Paul Wilhelm, Michael Eggert, Julia Hornig, Stefan Oertel
Summary: The PTB's bistatic lidar, with three dedicated receivers arranged around a central transmitter, achieves independent measurements of all three wind velocity components with high spatial and temporal resolution. It can serve as a transfer standard for the calibration of other remote sensing devices, enhancing the capability and accuracy of wind velocity measurements.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Manyi Li, Haiyun Xia, Lian Su, Haobin Han, Xiaofei Wang, Jinlong Yuan, Pavel Kishcha
Summary: In this study, a method using CDWL for calibration and quantitative characterization of aerosol properties is adopted, and the retrieval results are verified by comparing with RMRL. The results demonstrate the ability of CDWL to accurately retrieve aerosol properties.
Article
Optics
Fangxin Yue, Junxuan Zhang, Jie Meng, Ting Yu, Decang Bi, Xiaolei Zhu, Jiqiao Liu, Weibiao Chen
Summary: In this paper, a diode side-pumped injection-seeded single-frequency Tm,Ho:YLF laser operating at lasing threshold and emitting at 2051.2 nm was reported. The use of Fabry-Perot (FP) etalons for seed injection via mode selection was investigated. The laser achieved an acousto-optic Q-switched output of 6.7 mJ at 5 Hz, with a temporal pulse duration of 310 ns, spectral linewidth of 2.0 MHz, and frequency stability of 0.8 MHz rms. The laser source with a high-quality Gaussian TEM00 mode would be suitable for ground-based wind-detection coherent Lidar system.
APPLIED PHYSICS B-LASERS AND OPTICS
(2023)
Article
Instruments & Instrumentation
Paul Wilhelm, Michael Eggert, Stefan Oertel, Julia Hornig
Summary: The wind lidar developed by PTB is capable of measuring wind speed, wind direction, and measurement height with high resolution and low uncertainty. It can provide accurate optical remote wind measurements at heights between 5 m and 250 m, making it suitable for wind industry and meteorology. The system does not require terrain-dependent correction factors, allowing precise and high-resolution measurements even upstream and downstream of wind turbines.
TM-TECHNISCHES MESSEN
(2023)
Article
Environmental Sciences
Pablo Ortiz-Amezcua, Alodia Martinez-Herrera, Antti J. Manninen, Pyry P. Pentikainen, Ewan J. O'Connor, Juan Luis Guerrero-Rascado, Lucas Alados-Arboledas
Summary: Characterizing the urban boundary layer is crucial for weather and air quality modeling and forecasting. This study utilized scanning Doppler lidar measurements to analyze the wind profiles in a medium-sized city surrounded by mountains in southern Spain. The results revealed differences in diurnal wind evolution and the presence of convective activity during the day and wind shear-driven turbulence at night in the atmospheric boundary layer.
Article
Environmental Sciences
Xingxu Zhou, Chao Zhang, Yunying Li, Zhiwei Zhang
Summary: This paper explores and compares the gust characteristics at two sites, Xining in the eastern Tibetan Plateau and Qingdao on the coast in China, using Doppler lidar data. The results show that the gusts in Xining are more intense and occur at a higher height compared to Qingdao. Turbulence intensity is responsible for the differences in gust, suggesting high turbulence in the eastern part of the Tibetan Plateau. These findings provide observational evidence for studying the impact of wind gusts on complex terrains such as the Tibetan Plateau.
Article
Environmental Sciences
Marcos Paulo Araujo da Silva, Andreu Salcedo-Bosch, Francesc Rocadenbosch, Alfredo Pena
Summary: We reexamine two recent methodologies, the 2D method and Hybrid-Wind (HW), based on Monin-Obukhov Similarity Theory (MOST), which aim to estimate Obukhov length, friction velocity, and kinematic heat flux within the surface layer using wind-speed profile measurements. Both methods are compared using synthetic and observational data. A procedure to generate synthetic noise-corrupted wind profiles is also presented. The 2D algorithm outperforms the HW method in estimating the three parameters, making it a prominent method for surface-layer parameter estimation.
Article
Optics
Fahua Shen, Zhao Wang, Yiqi Xia, Bangxin Wang, Peng Zhuang, Chengqun Qiu
Summary: The Rayleigh Doppler lidar proposed in this study utilizes a quad Fabry-Perot etalon for accurate detection of wind speed, temperature, and aerosol within a wide altitude range. The lidar's unique structure and measurement principles allow for precise measurements of atmospheric parameters at different altitudes.
Article
Engineering, Civil
Yi Yang, Fuxian Ma, Qingke Han
Summary: Based on the measurement data of two Doppler lidars in the boundary layer wind field, the correlation between wind speed and wind direction at Shenzhen Meteorological Tower (SMT) and Shenzhen Electronics Group (SEG) Plaza is analyzed, and the characteristics of urban boundary layer wind field at SEG Plaza are explored. The wind field characteristics during the vibration event on May 18th at SEG Plaza are reconstructed using computational fluid dynamics numerical simulation. Results show that the 10-minute mean wind speed and wind direction at a height of about 350 m are highly correlated between the two sites despite their geographical distance, and the wind profile exponent of the high-altitude guyed masts is about 0.22 with a wind speed of 9.64-10.64 m/s at the top height (about 350 m).
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2023)
Article
Environmental Sciences
Razvan Pirloaga, Mariana Adam, Bogdan Antonescu, Simona Andrei, Sabina Stefan
Summary: For the first time in Romania, Doppler wind lidar measurements were used to analyze wind and turbulence statistics at a peri-urban site in Magurele, southwest of Bucharest. Vertical and scanning measurements from December 2019 to November 2021 were processed, and statistics were performed based on seasonal and diurnal cycles. The results showed variations in diurnal wind speed and direction, with lower speed during the day and higher at night. The ERA5 reanalysis exhibited similar patterns to the Doppler wind lidar measurements, albeit slightly underestimated in terms of wind speed.
Article
Environmental Sciences
Jinlong Yuan, Lian Su, Haiyun Xia, Yi Li, Ming Zhang, Guangju Zhen, Jianyu Li
Summary: This study proposes a new approach using a coherent Doppler wind lidar to detect wind shear on multiple runways. The approach retrieves orthogonal components of the wind field and calculates the heading wind and cross wind on different runways without restriction on the lidar location. A windshear alerting message is generated by evaluating the distribution of shear ramps. The effectiveness of the new approach is demonstrated through successful identification of windshear cases during verification experiments.
Article
Meteorology & Atmospheric Sciences
Gavin C. Cornwell, Heng Xiao, Larry K. Berg, Susannah M. Burrows
Summary: Soil dusts are significant sources of aerosol in agricultural regions and can impact the Earth's radiation budget by modifying cloud properties. Vertical transport of agricultural soil dusts within the planetary boundary layer is strongly controlled by turbulence. Large-eddy simulations can better simulate vertical transport due to their resolution in resolving turbulent energy. The study found that particle size was the most crucial factor in determining particle lifetime, with meteorology and particle density having intermediate effects. Release height had minimal impact on simulation results. Utilizing a quasi-single column model (QSCM) revealed greater tracer transport out of the boundary layer, emphasizing the importance of accurately simulating turbulence for understanding particle transport.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
Zhao Yang, Maoyi Huang, Larry K. Berg, Yun Qian, William I. Gustafson, Yuanhao Fang, Ying Liu, Jerome D. Fast, Koichi Sakaguchi, Sheng-Lun Tai
Summary: In this study, the impact of lateral flow on soil moisture and energy fluxes over the southern Great Plains was investigated using the offline Weather Research and Forecasting (WRF)-Hydro model. Realistic inputs led to larger underestimation of latent heat flux and dry bias, revealing model structural uncertainty in WRF-Hydro. Including lateral flow processes partly mitigated model deficiencies and alleviated the dry bias, especially over lower elevations. Additional simulations highlighted the effect of routing resolution on model results, with noticeable differences in soil moisture between routing resolutions over steep terrain under high LSM resolution, and negligible differences over flat terrain with coarse LSM resolution.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Environmental Sciences
Timothy W. Juliano, Pedro A. Jimenez, Branko Kosovic, Trude Eidhammer, Gregory Thompson, Larry K. Berg, Jerome Fast, Amber Motley, Andrea Polidori
Summary: The 2020 wildfire season in the United States was highly active, resulting in significant reductions in solar power production due to the emission of smoke particulates into the atmosphere. Hour-ahead forecasts during the wildfire events did not account for the effects of smoke, leading to overestimation of expected power production. Including biomass burning particles in numerical weather prediction models greatly improved the accuracy of solar energy forecasts. This highlights the importance of considering aerosols, including those from biomass burning, in order to properly balance energy grids as reliance on solar power increases.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Energy & Fuels
Ye Liu, Yun Qian, Sha Feng, Larry K. Berg, Timothy W. Juliano, Pedro A. Jimenez, Ying Liu
Summary: This study investigates the sensitivity of solar irradiance to parameters within the sub-grid cloud scheme and an upgraded aerosol-aware scheme in the Weather Research and Forecasting-Solar model. The results show that the parameters related to entrainment and cloud condensation threshold have the greatest contribution to irradiance variance under less-polluted conditions, while the parameters related to aerosol emission rate and black carbon modal radius become more pronounced under heavily-polluted wildfire conditions.
Article
Meteorology & Atmospheric Sciences
K. Sakaguchi, L. K. Berg, J. Chen, J. Fast, R. Newsom, S. L. Tai, Z. Yang, W. I. Gustafson, B. J. Gaudet, M. Huang, M. Pekour, K. Pressel, H. Xiao
Summary: The study focuses on quantifying spatial scales of land-atmosphere interactions over heterogeneous soil moisture patterns, using high-resolution numerical experiments. The simulations compare different scenarios of land cover and soil moisture, showing variations in surface sensible heat flux at different scales and secondary circulations induced by land cover variations. The results highlight the importance of considering non-linear effects of soil moisture variability in large-scale models, despite their small areal coverage.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Mikhail Ovchinnikov, Jerome D. Fast, Larry K. Berg, William Gustafson, Jingyi Chen, Koichi Sakaguchi, Heng Xiao
Summary: This study investigates how the depth and distribution of variability in the atmospheric boundary layer are influenced by different configurations of large-eddy simulations (LES). The effects of LES grid spacing, domain size, surface property heterogeneity, and external forcing are examined. Two setups of the Weather Research and Forecasting (WRF) Model are analyzed. The study finds that the size of characteristic structures in the boundary layer increases gradually from vertical velocity to temperature and moisture structures and that this dependence on the considered variable poses challenges for developing scale-aware parameterizations. The development of internal mesoscale patterns and the location of subdomains within a larger computational domain also affect the variance distribution and the size of boundary layer structures.
MONTHLY WEATHER REVIEW
(2022)
Article
Energy & Fuels
Ye Liu, Yun Qian, Sha Feng, Larry K. Berg, Timothy W. Juliano, Pedro A. Jimenez, Eric Grimit, Ying Liu
Summary: This study improves the prediction accuracy of solar irradiance by calibrating parameters in the WRF-Solar model using a multi-objective surrogate-based optimization framework. The results show that the surrogate models approximate the physical models well and the SBO framework efficiently searches for optimal solutions.
Article
Meteorology & Atmospheric Sciences
Colleen M. Kaul, Zhangshuan Jason Hou, Huifen Zhou, Raj K. Rai, Larry K. Berg
Summary: This study investigates the sensitivity associated with six closure parameters related to mesoscale-coupled large-eddy simulation (LES) models. Machine learning algorithms are used to explore the sensitivity of LES predictions, and the eddy viscosity coefficient is found to be the dominant source of parametric sensitivity.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Green & Sustainable Science & Technology
Joseph C. Y. Lee, Caroline Draxl, Larry K. Berg
Summary: This study demonstrates the value of evaluating wind power forecasts using a consistent procedure. The study uses an open-source Python code base called WE-Validate and conducts forecast evaluations for two case studies. The results show that ensemble means perform well in time series forecasting but are inferior to single ensemble members in wind ramp forecasting. The study emphasizes the importance of using statistically robust and equitable metrics in forecast evaluation.
Article
Green & Sustainable Science & Technology
Sheng-Lun Tai, Larry K. Berg, Raghavendra Krishnamurthy, Rob Newsom, Anthony Kirincich
Summary: This study proposes an algorithm for online calculation of turbulence intensity in the Weather Research and Forecasting (WRF) model. The simulated turbulence intensity is divided into sub-grid and grid resolved components, and the sensitivity to sea surface temperature is tested. The results show that the algorithm can accurately estimate turbulence intensity, and the sea surface temperature has an impact on the simulation.
WIND ENERGY SCIENCE
(2023)
Review
Green & Sustainable Science & Technology
William J. Shaw, Larry K. Berg, Mithu Debnath, Georgios Deskos, Caroline Draxl, Virendra P. Ghate, Charlotte B. Hasager, Rao Kotamarthi, Jeffrey D. Mirocha, Paytsar Muradyan, William J. Pringle, David D. Turner, James M. Wilczak
Summary: With the increasing level of offshore wind energy investment, accurately characterizing the wind resource is crucial for investment decisions and wind plant performance, but challenges remain, especially in the offshore environment, requiring ongoing improvements in modeling and observations.
WIND ENERGY SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Lindsay M. Sheridan, Raghu Krishnamurthy, Gabriel Garcia Medina, Brian J. Gaudet, William I. Gustafson, Alicia M. Mahon, William J. Shaw, Rob K. Newsom, Mikhail Pekour, Zhaoqing Yang
Summary: The California Pacific coast has abundant wind resources and dense population, driving interest in offshore wind energy. The U.S. Department of Energy owns lidar buoys for collecting wind speed observations and oceanographic data, providing valuable information for the wind energy community.
WIND ENERGY SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Lindsay M. Sheridan, Caleb Phillips, Alice C. Orrell, Larry K. Berg, Heidi Tinnesand, Raj K. Rai, Sagi Zisman, Dmitry Duplyakin, Julia E. Flaherty
Summary: This study validates the accuracy of wind speed models and energy production simulation tools and identifies the sources of discrepancies. The findings provide valuable information for small wind installers and owners to consider when making performance estimates.
WIND ENERGY SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Ye Liu, Yun Qian, Larry K. Berg
Summary: This study investigates the sensitivity of turbine-height wind speed forecast to initial condition uncertainties and identifies four types of forecast anomalies and their associated uncertainties. The results show that initial condition uncertainties have a significant impact on turbine-height wind speed forecast, and the accuracy is limited in specific regions.
WIND ENERGY SCIENCE
(2022)