Log in

Relevant bibliographies by topics / Wind interpolation / Journal articles

To see the other types of publications on this topic, follow the link: Wind interpolation.

Journal articles on the topic 'Wind interpolation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Wind interpolation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Jing, Zhao, Lixin Wu, and Xiaohui Ma. "Improve the Simulations of Near-Inertial Internal Waves in the Ocean General Circulation Models." Journal of Atmospheric and Oceanic Technology 32, no. 10 (October 2015): 1960–70. http://dx.doi.org/10.1175/jtech-d-15-0046.1.

Full text

Abstract:

AbstractThe near-inertial wind work and near-inertial internal waves (NIWs) in the ocean have been extensively studied using ocean general circulation models (OGCMs) forced by 6-hourly winds or wind stress obtained from atmospheric reanalysis data. However, the OGCMs interpolate the reanalysis winds or wind stress linearly onto each time step, which partially filters out the wind stress variance in the near-inertial band. In this study, the influence of the linear interpolation on the near-inertial wind work and NIWs is quantified using an eddy-resolving (°) primitive equation ocean model. In addition, a new interpolation method is proposed—the sinc-function interpolation—that overcomes the shortages of the linear interpolation.It is found that the linear interpolation of 6-hourly winds significantly underestimates the near-inertial wind work and NIWs at the midlatitudes. The underestimation of the near-inertial wind work and near-inertial kinetic energy is proportional to the loss of near-inertial wind stress variance due to the linear interpolation. This further weakens the diapycnal mixing in the ocean due to the reduced near-inertial shear variance. Compared to the linear interpolation, the sinc-function interpolation retains all the wind stress variance in the near-inertial band and yields correct magnitudes for the near-inertial wind work and NIWs at the midlatitudes.

APA, Harvard, Vancouver, ISO, and other styles

2

Karim, Samsul Ariffin Bin Abdul, and S. Suresh Kumar Raju. "Wind Velocity Data Interpolation Using Rational Cubic Spline." MATEC Web of Conferences 225 (2018): 04006. http://dx.doi.org/10.1051/matecconf/201822504006.

Full text

Abstract:

Wind velocity data is always having positive value and the minimum value approximately close to zero. The standard cubic spline interpolation (not-a-knot and natural) as well as cubic Hermite polynomial may be produces interpolating curve with negative values on some subintervals. To cater this problem, a new rational cubic spline with three parameters is constructed. This rational spline will be used to preserve the positivity of the wind velocity data. Numerical results shows that the proposed scheme work very well and give visually pleasing interpolating curve on the given domain.

APA, Harvard, Vancouver, ISO, and other styles

3

Palomino, I., and F. Martín. "A Simple Method for Spatial Interpolation of the Wind in Complex Terrain." Journal of Applied Meteorology 34, no. 7 (July 1, 1995): 1678–93. http://dx.doi.org/10.1175/1520-0450-34.7.1678.

Full text

Abstract:

Abstract The topographical elevation difference is proposed as a new variable for spatial interpolation of the sparse surface wind measurements to a finer mesh in a complex terrain area. The most used method for the initialization of diagnostic wind field models is based on the inverse-distance-squared weighted averaging interpolation technique regardless of the topographical elevation. Analysis of experimental data obtained from six meteorological towers deployed at several heights on the slopes along a valley in the South of Spain has shown a good correlation between wind speed and elevation above valley bottom. The efficiency of the inverse absolute elevation difference and the inverse distance squared as averaging weights for interpolation of the wind vector at several locations is checked; this is done for two meteorological synoptic weather types: strong synoptic winds, and thermal low over the Iberian Peninsula. For the latter weather type, the formation of nocturnal thermal inversion and the drainage flows are taken into account. Wind fields in the valley resulting from the two interpolation methods are compared. The elevation difference between meteorological station and grid point seems to be an important variable to be included in the wind field initialization process, that is, interpolation of the wind vector to a grid, when complex terrain areas are considered.

APA, Harvard, Vancouver, ISO, and other styles

4

Liu, Shun, Chongjian Qiu, Qin Xu, and Pengfei Zhang. "An Improved Time Interpolation for Three-Dimensional Doppler Wind Analysis." Journal of Applied Meteorology 43, no. 10 (October 1, 2004): 1379–91. http://dx.doi.org/10.1175/jam2150.1.

Full text

Abstract:

Abstract A temporal interpolation is required for three-dimensional Doppler wind analysis when the precise measurement time is counted for each radar beam position. The time interpolation is traditionally done by a linear scheme either in the measurement space or in the analysis space. Because a volume scan often takes 5–10 min, the linear time interpolation is not accurate enough to capture the rapidly changing winds associated with a fast-moving and fast-growing storm. Performing the linear interpolation in a frame moving with the storm can reduce the error, but the analyzed wind field is traditionally assumed to be stationary in the moving frame. The stationary assumption simplifies the computation but ignores the time variation of the true wind field in the moving frame. By incorporating a linear time interpolation into the moving frame wind analysis, an improved scheme is developed. The merits of the new scheme are demonstrated by idealized examples and numerical experiments with simulated radar observations. The new scheme is also applied to real radar data for a supercell storm.

APA, Harvard, Vancouver, ISO, and other styles

5

Kahl, Jonathan D., and Perry J. Samson. "Shear Effects on Wind Interpolation Accuracy." Journal of Applied Meteorology 27, no. 11 (November 1988): 1299–301. http://dx.doi.org/10.1175/1520-0450(1988)027<1299:seowia>2.0.co;2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Feliks, Yizhak, Ehud Gavze, and Reuven Givati. "Optimal Vector Interpolation of Wind Fields." Journal of Applied Meteorology 35, no. 7 (July 1996): 1153–65. http://dx.doi.org/10.1175/1520-0450(1996)035<1153:oviowf>2.0.co;2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Augst, Ayla, and Martin Hagen. "Interpolation of Operational Radar Data to a Regular Cartesian Grid Exemplified by Munich’s Airport Radar Configuration." Journal of Atmospheric and Oceanic Technology 34, no. 3 (March 2017): 495–510. http://dx.doi.org/10.1175/jtech-d-16-0159.1.

Full text

Abstract:

AbstractTwo methods for avoiding errors in the interpolation of operational radar data to a regular grid are presented. The issue is the interpolation of radial velocity and the subsequent estimation of horizontal wind components. It is shown how a vertical gradient of the horizontal wind in combination with gaps of data between scans with different elevation angles affect the interpolation. Simulated radar data for the radar configuration covering the Munich airport in southern Germany are used for illustration. The origin of the abovementioned errors is explained using simplified wind fields. With wind fields generated by the German nonhydrostatic atmospheric prediction model COSMO-DE, the effectiveness of the methods is presented. Both methods contribute to a reduction in interpolation error—by 44% and 35%, respectively—compared to a standard interpolation scheme used for many operational radar configurations.

APA, Harvard, Vancouver, ISO, and other styles

8

Polito, Paulo S., W. Timothy Liu, and Wenqing Tang. "Correlation-Based Interpolation of NSCAT Wind Data." Journal of Atmospheric and Oceanic Technology 17, no. 8 (August 2000): 1128–38. http://dx.doi.org/10.1175/1520-0426(2000)017<1128:cbionw>2.0.co;2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Yang, Mao, and Jun Cheng Dong. "Wind Data Anomaly Detection and Interpolation of Missing Data." Applied Mechanics and Materials 672-674 (October 2014): 302–5. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.302.

Full text

Abstract:

Data accuracy and completeness of the wind farm has great significance in wind power research. Because of the wind farm in the process of gathering data and transmission appears distorted and missing, and that leads the accuracy and integrity of data is greatly reduced, so the need for a wind farm data, outlier detection and missing data imputation. This paper outlier detection by statistical method based on 3σ criterion under the normal distribution, and use of the effectiveness of the recently distance interpolation and regression interpolation for missing data, outliers and replacement and interpolation, filled after data and accuracy are improved.

APA, Harvard, Vancouver, ISO, and other styles

10

Park, Jongchul, and Dong-Ho Jang. "Development and validation of MK-PRISM-Wind for wind speed interpolation." Journal of Climate Research 10, no. 4 (December 30, 2015): 313–27. http://dx.doi.org/10.14383/cri.2015.10.4.313.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Gorman, Richard M. "Intercomparison of Methods for the Temporal Interpolation of Synoptic Wind Fields." Journal of Atmospheric and Oceanic Technology 26, no. 4 (April 1, 2009): 828–37. http://dx.doi.org/10.1175/2008jtecho588.1.

Full text

Abstract:

Abstract The problem of temporal interpolation of wind fields is addressed by comparing the performance of standard linear interpolation with two methods that aim to provide a more accurate description of advecting weather systems: the complex empirical orthogonal function (EOF) method introduced by Zavala-Hidalgo and a method based on fast Fourier transform (FFT) techniques. Two test cases are considered. In the first, wind fields representing an idealized fast-moving tropical cyclone were interpolated. In this case, the FFT method provided root-mean-square errors approximately two-thirds of those from linear interpolation, while the EOF method produced larger errors than linear interpolation. The second test case, using one month of ECMWF analysis fields on a Southern Hemisphere regional domain, showed that the FFT method is insufficiently robust for complex wind fields with multiple moving weather systems. The EOF method, on the other hand, produced smaller errors than linear interpolation.

APA, Harvard, Vancouver, ISO, and other styles

12

Samalot, Alexander, Marina Astitha, Jaemo Yang, and George Galanis. "Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States." Weather and Forecasting 34, no. 3 (May 22, 2019): 587–601. http://dx.doi.org/10.1175/waf-d-18-0068.1.

Full text

Abstract:

Abstract The scope of this study is to assess a combination of well-known techniques for bias reduction and spatial interpolation in an attempt to improve wind speed prediction for storms on a gridded domain. This is accomplished by implementing Kalman filter (KF) for bias reduction and universal kriging (UK) for spatial interpolation as postprocessing steps for the Weather Research and Forecasting (WRF) Model. It is shown that for surface wind speed, a linear KF is adequate for eliminating systematic model errors with the available storm history. KF-estimated wind speed biases at station locations are then interpolated across the model domain using UK. The combined KF–UK approach improves the wind speed forecast median bias by 55% and RMSE by 15% (bulk statistics), while benefits obtained at station-specific locations can reach maximum improvements of 72% for RMSE and 100% for bias. Contingency statistics that inform on model performance over four categories of wind speed magnitude reveal that calm/moderate winds are successfully corrected but strong/gale winds cannot be adequately corrected by the combination of KF and UK, which is a disadvantage for improving prediction of severe storm conditions.

APA, Harvard, Vancouver, ISO, and other styles

13

Qian, Yan, Chun Guang Bai, Bai Quan Chen, and Gui Jin Mu. "Research on the Factors of Wind Direction and Distance in the Impact of Sand Source on its Neighborhood: An Example from Three Regions of Southern Xinjiang, China." Applied Mechanics and Materials 507 (January 2014): 845–50. http://dx.doi.org/10.4028/www.scientific.net/amm.507.845.

Full text

Abstract:

Wind-blown sand is now one of the most serious environmental issues around the world. The properties of wind and the distance from sand source to the affected locations are two most important factors for assessing the effect of the sand source on its neighborhood. To acquire better assessment result, the methods of wind vector interpolation and the measurement of the distance from sand source to the affected location have been researched. The adopted interpolation procedure for wind vector includes three steps: 1) resolve the existing wind vectors, 2) interpolate based on the resolved wind vectors using inverse distance weighted interpolation, and 3) compose the interpolated wind vectors. This paper also presents a new measuring method and its theoretical basis to acquire the distance from sand source to the affected location. This paper claims that the distance along the wind direction, based on which the range of the damage can be acquired, is more valuable for the damage evaluation. The presented method has been applied to three regions of Southern Xinjiang, China.

APA, Harvard, Vancouver, ISO, and other styles

14

Ma, Xingliang, Fuyou Xu, and Bo Chen. "Interpolation of wind pressures using Gaussian process regression." Journal of Wind Engineering and Industrial Aerodynamics 188 (May 2019): 30–42. http://dx.doi.org/10.1016/j.jweia.2019.02.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Contreras, Lidia, and Cèsar Ferri. "Wind-sensitive Interpolation of Urban Air Pollution Forecasts." Procedia Computer Science 80 (2016): 313–23. http://dx.doi.org/10.1016/j.procs.2016.05.343.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Yang, Zhiling, Yongqian Liu, and Chengrong Li. "Interpolation of missing wind data based on ANFIS." Renewable Energy 36, no. 3 (March 2011): 993–98. http://dx.doi.org/10.1016/j.renene.2010.08.033.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Asa, Eric. "Nonlinear Spatial Characterization and Interpolation of Wind Data." Wind Engineering 36, no. 3 (June 2012): 251–72. http://dx.doi.org/10.1260/0309-524x.36.3.251.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Nielsen, Morten. "A method for spatial interpolation of wind climatologies." Wind Energy 2, no. 3 (July 1999): 151–66. http://dx.doi.org/10.1002/(sici)1099-1824(199907/09)2:3<151::aid-we26>3.0.co;2-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Xian Liu. "An Improved Interpolation Method for Wind Power Curves." IEEE Transactions on Sustainable Energy 3, no. 3 (July 2012): 528–34. http://dx.doi.org/10.1109/tste.2012.2191582.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Shoaib, Muhammad, Saif Ur Rehman, Imran Siddiqui, Shamim Khan, and Syed Zeeshan Abbas. "Spatial Wind Speed Forecasting Using Artificial Neural Networks." International Journal of Economic and Environmental Geology 11, no. 4 (March 11, 2021): 37–42. http://dx.doi.org/10.46660/ijeeg.vol11.iss4.2020.514.

Full text

Abstract:

Spatial interpolation is a commonly used technique to simulate wind speeds in areas which are devoid of such measuring devices. In this paper authors examine the applicability and efficiency of Artificial-Neural- Network (ANN) formalism aimed at interpolating wind speeds in space domain. Additionally, the effect of the correlation between the wind speed at target site and its correlated neighboring site is also examined in the present paper. Hourly wind speed data set comprising of wind speeds recorded from April 2016 to August 2018 provided by Energy Sector Management Assistance Program of World Bank is used for the study. The study is supported by including four different wind speed measuring stations in Pakistan, namely, Tando Ghulam Ali, Umer Kot, Sujawal and Sanghar. Best estimates from ANN model are obtained for Tando Ghulam Ali (MAPE= 7.37%) and worst estimates are observed forSanghar site (MAPE= 10.61%).

APA, Harvard, Vancouver, ISO, and other styles

21

Su, Bo, and Xiang Ke Han. "A Flow-Condition-Based Interpolation Method Combined with Splitting Algorithm for Wind Field Calculation." Advanced Materials Research 671-674 (March 2013): 1578–82. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.1578.

Full text

Abstract:

Wind field calculation is a research focus for wind disaster prevention in Civil Engineering. A new finite element procedure using flow-condition-based interpolation method combined with splitting algorithm is proposed in the paper. It used the analytical solution of one-dimensional advection–diffusion equation, and naturally introduced upwind effect in element interpolation functions. Further, combined with splitting algorithm, the element interpolation functions of velocity and pressure have concise format without meet Babuska-Brezzi condition. A two dimension four-node bilateral fluid element was constructed using flow-condition-based interpolation method and a corresponding program was developed. The solution procedure was discussed in detail and the numerical example solution was given to illustrate the capabilities of the procedure

APA, Harvard, Vancouver, ISO, and other styles

22

Zhu, Laiyin, and Steven M. Quiring. "An Extraction Method for Long-Term Tropical Cyclone Precipitation from Daily Rain Gauges." Journal of Hydrometeorology 18, no. 9 (September 1, 2017): 2559–76. http://dx.doi.org/10.1175/jhm-d-16-0291.1.

Full text

Abstract:

Abstract Tropical cyclone precipitation (TCP) can cause significant flooding in coastal areas around the world. This study compares multiple options of a new technique for developing a gridded daily TCP product at a spatial resolution of 0.25°. These options were evaluated using NASA’s Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42 product to determine the optimal approach. Results indicate that the technique is very sensitive to changes in wind corrections, interpolation method, and gauge density. The optimal method accounts for wind-induced gauge undercatch and uses a customized interpolation approach. It significantly reduces precipitation biases associated with gauge undercatch during windy conditions. The new TCP extraction approach can be used to examine variability and long-term trends in TCP, even in regions with relatively few gauges.

APA, Harvard, Vancouver, ISO, and other styles

23

Rios, O., W. Jahn, E. Pastor, M. M. Valero, and E. Planas. "Interpolation framework to speed up near-surface wind simulations for data-driven wildfire applications." International Journal of Wildland Fire 27, no. 4 (2018): 257. http://dx.doi.org/10.1071/wf17027.

Full text

Abstract:

Local wind fields that account for topographic interaction are a key element for any wildfire spread simulator. Currently available tools to generate near-surface winds with acceptable accuracy do not meet the tight time constraints required for data-driven applications. This article presents the specific problem of data-driven wildfire spread simulation (with a strategy based on using observed data to improve results), for which wind diagnostic models must be run iteratively during an optimisation loop. An interpolation framework is proposed as a feasible alternative to keep a positive lead time while minimising the loss of accuracy. The proposed methodology was compared with the WindNinja solver in eight different topographic scenarios with multiple resolutions and reference – pre-run– wind map sets. Results showed a major reduction in computation time (~100 times once the reference fields are available) with average deviations of 3% in wind speed and 3° in direction. This indicates that high-resolution wind fields can be interpolated from a finite set of base maps previously computed. Finally, wildfire spread simulations using original and interpolated maps were compared showing minimal deviations in the fire shape evolution. This methodology may have an important effect on data assimilation frameworks and probabilistic risk assessment where high-resolution wind fields must be computed for multiple weather scenarios.

APA, Harvard, Vancouver, ISO, and other styles

24

Wieringa, J. "Roughness-dependent geographical interpolation of surface wind speed averages." Quarterly Journal of the Royal Meteorological Society 112, no. 473 (July 1986): 867–89. http://dx.doi.org/10.1002/qj.49711247316.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

de Jesús Rubio, José. "Interpolation neural network model of a manufactured wind turbine." Neural Computing and Applications 28, no. 8 (January 13, 2016): 2017–28. http://dx.doi.org/10.1007/s00521-015-2169-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Swain, J., P. A. Umesh, and A. S. N. Murty. "Demonstration of an efficient interpolation technique of inverse time and distance for Oceansat-2 wind measurements at 6-hourly intervals." International Journal of Ocean and Climate Systems 8, no. 3 (October 14, 2017): 101–12. http://dx.doi.org/10.1177/1759313117736596.

Full text

Abstract:

Indian Space Research Organization had launched Oceansat-2 on 23 September 2009, and the scatterometer onboard was a space-borne sensor capable of providing ocean surface winds (both speed and direction) over the globe for a mission life of 5 years. The observations of ocean surface winds from such a space-borne sensor are the potential source of data covering the global oceans and useful for driving the state-of-the-art numerical models for simulating ocean state if assimilated/blended with weather prediction model products. In this study, an efficient interpolation technique of inverse distance and time is demonstrated using the Oceansat-2 wind measurements alone for a selected month of June 2010 to generate gridded outputs. As the data are available only along the satellite tracks and there are obvious data gaps due to various other reasons, Oceansat-2 winds were subjected to spatio-temporal interpolation, and 6-hour global wind fields for the global oceans were generated over 1 × 1 degree grid resolution. Such interpolated wind fields can be used to drive the state-of-the-art numerical models to predict/hindcast ocean-state so as to experiment and test the utility/performance of satellite measurements alone in the absence of blended fields. The technique can be tested for other satellites, which provide wind speed as well as direction data. However, the accuracy of input winds is obviously expected to have a perceptible influence on the predicted ocean-state parameters. Here, some attempts are also made to compare the interpolated Oceansat-2 winds with available buoy measurements and it was found that they are reasonably in good agreement with a correlation coefficient of R > 0.8 and mean deviation 1.04 m/s and 25° for wind speed and direction, respectively.

APA, Harvard, Vancouver, ISO, and other styles

27

Kargapolova, Nina A., and Vasily A. Ogorodnikov. "Numerical stochastic modelling of spatial and spatio-temporal fields of the wind chill index in the South of Western Siberia." Russian Journal of Numerical Analysis and Mathematical Modelling 36, no. 1 (February 1, 2021): 33–42. http://dx.doi.org/10.1515/rnam-2021-0003.

Full text

Abstract:

Abstract The paper presents the results of comparison of various methods of spatial interpolation of the wind chill index in two regions located in the South of Western Siberia (Russia). It is shown that stochastic interpolation provides the least interpolation error in the considered regions. The results of modelling the spatial and spatio-temporal fields of the considered bioclimatic index on a regular grid are presented.

APA, Harvard, Vancouver, ISO, and other styles

28

Wang, Dakang, Yulin Zhan, Tao Yu, Yan Liu, Xiaomei Jin, Xinyu Ren, Xinran Chen, and Qixin Liu. "Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration." Water 12, no. 1 (December 18, 2019): 9. http://dx.doi.org/10.3390/w12010009.

Full text

Abstract:

Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The heterogeneity of underlying surfaces cannot be effectively considered when interpolating meteorological station measurements to gridded data only by mathematical interpolation. This study aims to highlight the improvement of modeled meteorological data from the Weather Research and Forecasting (WRF) mesoscale numerical model which fully considers the heterogeneity of underlying surfaces over the data from mathematical interpolation method when providing accurate meteorological input for SEBS model. Meteorological data at 1 km resolution in the Hotan Oasis were simulated and then were put into SEBS model to estimate the daily actual ET. The accuracy of WRF simulation was evaluated through comparison with data collected at the meteorological station. Results found that the WRF-simulated wind speed, air temperature, relative humidity and surface pressure correlate well with the meteorological stations measurements (R2 are 0.628, 0.8242, 0.8089 and 0.8915, respectively). Comparison between ET calculated using the meteorological data simulated from the WRF (ETa-WRF) and meteorological data interpolated from measurements at met stations (ETa-STA) showed that ETa-WRF could better reflect the ET difference between different land cover, and capture the vegetation growing trend, especially in areas with sparse vegetation, where ETa-STA intends to overestimate. In addition, ETa-WRF has less noise in barren areas compared to ETa-STA. Our findings suggest that WRF can provide more reliable meteorological input for SEBS model than mathematical interpolation method.

APA, Harvard, Vancouver, ISO, and other styles

29

Isom, B. M., R. D. Palmer, G. S. Secrest, R. D. Rhoton, D. Saxion, T. L. Allmon, J. Reed, T. Crum, and R. Vogt. "Detailed Observations of Wind Turbine Clutter with Scanning Weather Radars." Journal of Atmospheric and Oceanic Technology 26, no. 5 (May 1, 2009): 894–910. http://dx.doi.org/10.1175/2008jtecha1136.1.

Full text

Abstract:

Abstract The wind power industry has seen tremendous growth over the past decade and with it has come the need for clutter mitigation techniques for nearby radar systems. Wind turbines can impart upon these radars a unique type of interference that is not removed with conventional clutter-filtering methods. Time series data from Weather Surveillance Radar-1988 Doppler (WSR-88D) stations near wind farms were collected and spectral analysis was used to investigate the detailed characteristics of wind turbine clutter. Techniques to mask wind turbine clutter were developed that utilize multiquadric interpolation in two and three dimensions and can be applied to both the spectral moments and spectral components. In an effort to improve performance, a nowcasting algorithm was incorporated into the interpolation scheme via a least mean squares criterion. The masking techniques described in this paper will be shown to reduce the impact of wind turbine clutter on weather radar systems at the expense of spatial resolution.

APA, Harvard, Vancouver, ISO, and other styles

30

Hoffman, Ross N., and S. Mark Leidner. "Some Characteristics of Time Interpolation Errors for Fluid Flows." Journal of Atmospheric and Oceanic Technology 27, no. 7 (July 1, 2010): 1255–62. http://dx.doi.org/10.1175/2010jtecha1429.1.

Full text

Abstract:

Abstract The size of errors due to linear time interpolation varies parabolically with a maximum at the center of the interpolation interval in most of the cases examined here. These cases include simple situations that are analyzed analytically and mesoscale model simulations of the ocean surface wind that are analyzed empirically.

APA, Harvard, Vancouver, ISO, and other styles

31

Van Ackere, Samuel, Greet Van Eetvelde, David Schillebeeckx, Enrica Papa, Karel Van Wyngene, and Lieven Vandevelde. "Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods." Energies 8, no. 8 (August 14, 2015): 8682–703. http://dx.doi.org/10.3390/en8088682.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Feng, Miao, Weimin Zhang, Xiangru Zhu, Boheng Duan, Mengbin Zhu, and De Xing. "Multivariate Interpolation of Wind Field Based on Gaussian Process Regression." Atmosphere 9, no. 5 (May 17, 2018): 194. http://dx.doi.org/10.3390/atmos9050194.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ravazzani, Giovanni, Alessandro Ceppi, and Silvio Davolio. "Wind speed interpolation for evapotranspiration assessment in complex topography area." Bulletin of Atmospheric Science and Technology 1, no. 1 (February 10, 2020): 13–22. http://dx.doi.org/10.1007/s42865-019-00001-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Cheng, Fang-Yi, and Konstantine P. Georgakakos. "Wind speed interpolation in the vicinity of the Panama Canal." Meteorological Applications 18, no. 4 (January 4, 2011): 459–66. http://dx.doi.org/10.1002/met.237.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Flannigan, MD, BM Wotton, and S. Ziga. "A Study on the Interpolation of Fire Danger Using Radar Precipitation Estimates." International Journal of Wildland Fire 8, no. 4 (1998): 217. http://dx.doi.org/10.1071/wf9980217.

Full text

Abstract:

In Canada, many fire management agencies interpolate indexes of the Fire Weather Index System to estimate the fire danger between weather stations. Difficulties with interpolation arise because summer precipitation can be highly variable over short distances. This variability hinders the usefulness of interpolating precipitation, which is one of the inputs for the Fire Weather Index System. Precipitation estimates from the Canadian Atmospheric Environment Service radar at Upsala, Ontario, were used to determine if this will enable a more accurate measure of the fire danger over the region. Three methods of interpolation of the fire danger between weather stations were compared: first, the standard practice of interpolating fire weather indexes from weather stations to any specified location; second, interpolating the weather variables, temperature, relative humidity, wind speed and precipitation from the weather station to any specified site and then calculating the fire weather indexes; third, interpolating weather variables as in Method 2 above except using the precipitation estimate from the radar and then calculating the fire weather indexes for any specified site. Overall, results indicate that the standard procedure of interpolating the fire weather indexes performs better than the other two methods. However, there are indexes where the other methods perform best (e.g., the fine fuel moisture code is best determined by using the radar precipitation estimation method). Fire management agencies should continue to use the standard practice of interpolating fire weather indexes to estimate fire danger between weather stations. Factors influencing the performance of the radar estimated precipitation method of estimating fire danger are discussed along with potential application of precipitation radar for fire management purposes.

APA, Harvard, Vancouver, ISO, and other styles

36

SELVI, S. THAMARAI, E. MAHENDRAN, and S. RAMA. "NEURAL NETWORK-BASED INTERPOLATION AND EXTRAPOLATION OF WIND TUNNEL TEST DATA." International Journal of Computational Intelligence and Applications 08, no. 02 (June 2009): 225–35. http://dx.doi.org/10.1142/s1469026809002564.

Full text

Abstract:

There is an increasing need to apply emerging technologies in knowledge-based management system. This proposed system captures the knowledge of experts and the knowledge acquired for designing a new systems. Wind Tunnel Test data of missiles has been taken into consideration for knowledge management. Interpolation and Extrapolation of missile test data has been attempted using neural network technique General Regression Neural Networks training algorithm. The results produced by neural network training methodologies are validated with the existing test data. The knowledge extraction using neural network is found suitable for interpolation and to some extent for extrapolation, thereby reducing the cost as well as number of test runs in Wind Tunnel Test.

APA, Harvard, Vancouver, ISO, and other styles

37

Pásztor, László, Gábor Négyesi, Annamária Laborczi, Tamás Kovács, Elemér László, and Zita Bihari. "Integrated spatial assessment of wind erosion risk in Hungary." Natural Hazards and Earth System Sciences 16, no. 11 (November 24, 2016): 2421–32. http://dx.doi.org/10.5194/nhess-16-2421-2016.

Full text

Abstract:

Abstract. Wind erosion susceptibility of Hungarian soils was mapped on the national level integrating three factors of the complex phenomenon of deflation (physical soil features, wind characteristics, and land use and land cover). Results of wind tunnel experiments on erodibility of representative soil samples were used for the parametrization of a countrywide map of soil texture compiled for the upper 5 cm layer of soil, which resulted in a map representing threshold wind velocity exceedance. Average wind velocity was spatially estimated with 0.5′ resolution using the Meteorological Interpolation based on Surface Homogenised Data Basis (MISH) method elaborated for the spatial interpolation of surface meteorological elements. The probability of threshold wind velocity exceedance was determined based on values predicted by the soil texture map at the grid locations. Ratio values were further interpolated to a finer 1 ha resolution using sand and silt content of the uppermost (0–5 cm) layer of soil as spatial co-variables. Land cover was also taken into account, excluding areas that are not relevant to wind erosion (forests, water bodies, settlements, etc.), to spatially assess the risk of wind erosion. According to the resulting map of wind erosion susceptibility, about 10 % of the total area of Hungary can be identified as susceptible to wind erosion. The map gives more detailed insight into the spatial distribution of wind-affected areas in Hungary compared to previous studies.

APA, Harvard, Vancouver, ISO, and other styles

38

Masson, D., and C. Frei. "Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types." Hydrology and Earth System Sciences Discussions 11, no. 5 (May 9, 2014): 4639–94. http://dx.doi.org/10.5194/hessd-11-4639-2014.

Full text

Abstract:

Abstract. Statistical models of the relationship between precipitation and topography are key elements for the spatial interpolation of rain-gauge measurements in high-mountain regions. This study investigates several extensions of the classical precipitation-height model in a direct comparison and within two popular interpolation frameworks, namely linear regression and kriging with external drift. The models studied include predictors of topographic height and slope, eventually at several spatial scales, a stratification by types of a circulation classification, and a predictor for wind-aligned topographic gradients. The benefit of the modeling components is investigated for the interpolation of seasonal mean and daily precipitation using leave-one-out crossvalidation. The study domain is a north-south cross-section of the European Alps (154 km × 187 km), which disposes of dense rain-gauge measurements (approx. 440 stations, 1971–2008). The significance of the topographic predictors was found to strongly depend on the interpolation framework. In linear regression predictors of slope and at multiple scales reduce interpolation errors substantially. But with as many as nine predictors the resulting interpolation still poorly replicates the across-ridge variation. Kriging with external drift (KED) leads to much smaller interpolation errors than linear regression. But this is achieved with a single predictor of local height already, and the extended predictor sets bring only marginal further improvement. Again, the stratification by circulation types and the wind-aligned gradient predictor do not improve over the single predictor KED model. Similarly for daily precipitation, information from circulation types is not improving interpolation accuracy. The results confirm that topographic predictors are essential for reducing interpolation errors, but exploiting the spatial autocorrelation in the data may be as effective as developing elaborate predictor sets. Our results also question a popular practice of using linear regression for predictor selection and they support the common practice of using climatological background fields in the interpolation of daily precipitation.

APA, Harvard, Vancouver, ISO, and other styles

39

Berkovic, Sigalit, and Pinhas Alpert. "A Synoptic Study of Low Troposphere Wind at the Israeli Coast." Open Atmospheric Science Journal 12, no. 1 (August 13, 2018): 80–106. http://dx.doi.org/10.2174/1874282301812010080.

Full text

Abstract:

Objective:This research is dedicated to the study of the feasibility of surface wind downscaling from 925 or 850 hPa winds according to synoptic class, season and hour.Methods:Two aspects are examined: low tropospheric wind veering and wind speed correlation and verification of the ERA-Interim analysis wind by comparison to radiosonde data at Beit Dagan, a station on the Israeli coast.Results:Relatively small (< 60°) cross angles between the 1000 hPa wind vector and the 925 hPa or 850 hPa wind vector at 12Z and high correlation (0.6-0.8) between the wind speed at the two levels were found only under winter lows. Relatively small cross angles and small wind speed correlation were found under highs to the west and Persian troughs.The verification of ERA-Interim analysis in comparison with radiosonde data has shown good prediction of wind direction at 12Z at 1000, 925 and 850 hPa levels (RMSE 20°-60°) and lower prediction quality at 1000 hPa at 0Z (RMSE 60°-90°). The analysis under-predicts the wind speed, especially at 1000 hPa. The wind speed RMSE is 1-2 m/s, except for winter lows with 2-3 m/s RMSE at 0Z, 12Z at all levels.Conclusion:Inference of surface wind may be possible at 12Z from 925 or 825 hPa winds under winter lows. Inference of wind direction from 925 hPa winds may be possible under highs to the west and Persian troughs. Wind speed should be inferred by interpolation, according to historical data of measurements or high resolution model.

APA, Harvard, Vancouver, ISO, and other styles

40

Liu, Xiao, Xu Lai, and Jin Zou. "A New MCP Method of Wind Speed Temporal Interpolation and Extrapolation Considering Wind Speed Mixed Uncertainty." Energies 10, no. 8 (August 18, 2017): 1231. http://dx.doi.org/10.3390/en10081231.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Li, Shaohui, Xuejin Sun, Riwei Zhang, and Chuanliang Zhang. "A Feasibility Study of Simulating the Micro-Scale Wind Field for Wind Energy Applications by NWP/CFD Model with Improved Coupling Method and Data Assimilation." Energies 12, no. 13 (July 2, 2019): 2549. http://dx.doi.org/10.3390/en12132549.

Full text

Abstract:

Understanding the details of micro-scale wind fields is important in the development of wind energy. Research has proven that coupling Numerical Weather Prediction (NWP) and Computational Fluid Dynamics (CFD) models is a better approach for micro-scale wind field simulation. The main purpose of this work is to improve the NWP/CFD model performance in two parts: (i) developing a new coupling method that is more suitable for complex terrain between the NWP and CFD models, and (ii) applying a data assimilation system in the CFD model. Regarding part (i), in order to solve the problem of great topographical difference at the domain boundaries between the two models, Cressman interpolation is utilized to impose the NWP model wind on the CFD model boundaries. In part (ii), an assimilation method, nudging, to apply assimilation of observations into the CFD model is explored. Based on the Cressman interpolation coupling method, a preliminary implementation of data assimilation is performed. The results show that the NWP/CFD model with the improved coupling method may capture the details of micro-scale wind fields more accurately. Using data assimilation, the NWP/CFD model performance may be further improved by cooperating observation data.

APA, Harvard, Vancouver, ISO, and other styles

42

Jiang, Yan, Ning Zhao, Liuliu Peng, Leina Zhao, and Min Liu. "Simulation of stationary wind field based on adaptive interpolation-enhanced scheme." Journal of Wind Engineering and Industrial Aerodynamics 195 (December 2019): 104001. http://dx.doi.org/10.1016/j.jweia.2019.104001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Ye, W., H. P. Hong, and J. F. Wang. "Comparison of Spatial Interpolation Methods for Extreme Wind Speeds over Canada." Journal of Computing in Civil Engineering 29, no. 6 (November 2015): 04014095. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000429.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Sannasiraj, S. A., and M. G. Goldstein. "Optimal interpolation of buoy data into a deterministic wind–wave model." Natural Hazards 49, no. 2 (September 20, 2008): 261–74. http://dx.doi.org/10.1007/s11069-008-9291-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Masson, D., and C. Frei. "Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types." Hydrology and Earth System Sciences 18, no. 11 (November 17, 2014): 4543–63. http://dx.doi.org/10.5194/hess-18-4543-2014.

Full text

Abstract:

Abstract. Statistical models of the relationship between precipitation and topography are key elements for the spatial interpolation of rain-gauge measurements in high-mountain regions. This study investigates several extensions of the classical precipitation–height model in a direct comparison and within two popular interpolation frameworks, namely linear regression and kriging with external drift. The models studied include predictors of topographic height and slope at several spatial scales, a stratification by types of a circulation classification, and a predictor for wind-aligned topographic gradients. The benefit of the modeling components is investigated for the interpolation of seasonal mean and daily precipitation using leave-one-out cross-validation. The study domain is a north–south cross section of the European Alps (154 km × 187 km) that is inclined towards dense rain-gauge measurements (approx. 440 stations, 1971–2008). The significance of the topographic predictors was found to strongly depend on the interpolation framework. In linear regression, predictors of slope and at multiple scales reduce interpolation errors substantially. But with as many as nine predictors, the resulting interpolation still poorly replicates the across-ridge variation of climatological mean precipitation. Kriging with external drift (KED) leads to much smaller interpolation errors than linear regression, but this is achieved with a single predictor (local topographic height), whereas the incorporation of more extended predictor sets brings only marginal further improvement. Furthermore, the stratification by circulation types and the wind-aligned gradient predictor do not improve over the single predictor KED model. As for daily precipitation, interpolation accuracy improves considerably with KED and the use of a single predictor field (the distribution of seasonal mean precipitation) as compared to ordinary kriging (i.e., without any predictor). Nonetheless, information from circulation types did not improve interpolation accuracy. Our results confirm that the consideration of topography effects is important for spatial interpolation of precipitation in high-mountain regions. But a single predictor may be sufficient and taking appropriate account of the spatial autocorrelation (by kriging) can be more effective than the development of elaborate predictor sets within a regression model. Our results also question a popular practice of using linear regression for predictor selection in spatial interpolation; however they support the common practice of using a climatological mean field as a background in the interpolation of daily precipitation.

APA, Harvard, Vancouver, ISO, and other styles

46

Bouris, Demetri, Athanasios G. Triantafyllou, Athina Krestou, Elena Leivaditou, John Skordas, Efstathios Konstantinidis, Anastasios Kopanidis, and Qing Wang. "Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model." Energies 14, no. 18 (September 7, 2021): 5624. http://dx.doi.org/10.3390/en14185624.

Full text

Abstract:

Mesoscale numerical weather prediction models usually provide information regarding environmental parameters near urban areas at a spatial resolution of the order of thousands or hundreds of meters, at best. If detailed information is required at the building scale, an urban-scale model is necessary. Proper definition of the boundary conditions for the urban-scale simulation is very demanding in terms of its compatibility with environmental conditions and numerical modeling. Here, steady-state computational fluid dynamics (CFD) microscale simulations of the wind and thermal environment are performed over an urban area of Kozani, Greece, using both the k-ε and k-ω SST turbulence models. For the boundary conditions, instead of interpolating vertical profiles from the mesoscale solution, which is obtained with the atmospheric pollution model (TAPM), a novel approach is proposed, relying on previously developed analytic expressions, based on the Monin Obuhkov similarity theory, and one-way coupling with minimal information from mesoscale indices (Vy = 10 m, Ty = 100 m, L*). The extra computational cost is negligible compared to direct interpolation from mesoscale data, and the methodology provides design phase flexibility, allowing for the representation of discrete urban-scale atmospheric conditions, as defined by the mesoscale indices. The results compared favorably with the common interpolation practice and with the following measurements obtained for the current study: SODAR for vertical profiles of wind speed and a meteorological temperature profiler for temperature. The significance of including the effects of diverse atmospheric conditions is manifested in the microscale simulations, through significant variations (~30%) in the critical building-related design parameters, such as the surface pressure distributions and local wind patterns.

APA, Harvard, Vancouver, ISO, and other styles

47

Wu, Jian Feng, Cai Hua Wang, and Xue Qin Zhang. "The Selection of the Difference Scheme in Numerical Simulation of Low-Rise Gable Roof Surface Pressure." Advanced Materials Research 711 (June 2013): 344–47. http://dx.doi.org/10.4028/www.scientific.net/amr.711.344.

Full text

Abstract:

Using the FLUENT software, this paper taking the wind load shape coefficient in the current code for the design of building structures as the comparison standard, have numerical wind tunnel simulation of the wind the surface wind pressure on low layer double slope roof. It focused on the effect of four convective term difference schemes on the numerical simulation, such as First-Order Upwind, Second-Order Upwind, Power Law and Quadratic Upwind Interpolation for ConvectiveKinematics. It provided reasonable reference for selection of convective term difference format.

APA, Harvard, Vancouver, ISO, and other styles

48

Mallia, Derek V., Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, and Steven K. Krueger. "Incorporating a Canopy Parameterization within a Coupled Fire-Atmosphere Model to Improve a Smoke Simulation for a Prescribed Burn." Atmosphere 11, no. 8 (August 7, 2020): 832. http://dx.doi.org/10.3390/atmos11080832.

Full text

Abstract:

Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion. For understory fires, the fire propagation is driven by winds attenuated by the forest canopy. However, most numerical weather prediction models providing meteorological forcing for fire models are unable to resolve canopy winds. In this study, an improved canopy model parameterization was implemented within a coupled fire-atmosphere model (WRF-SFIRE) to simulate a prescribed burn within a forested plot. Simulations with and without a canopy wind model were generated to determine the sensitivity of fire growth, plume rise, and smoke dispersion to canopy effects on near-surface wind flow. Results presented here found strong linkages between the simulated fire rate of spread, heat release and smoke plume evolution. The standard WRF-SFIRE configuration, which uses a logarithmic interpolation to estimate sub-canopy winds, overestimated wind speeds (by a factor 2), fire growth rates and plume rise heights. WRF-SFIRE simulations that implemented a canopy model based on a non-dimensional wind profile, saw significant improvements in sub-canopy winds, fire growth rates and smoke dispersion when evaluated with observations.

APA, Harvard, Vancouver, ISO, and other styles

49

Fast, Jerome D., Rob K. Newsom, K. Jerry Allwine, Qin Xu, Pengfei Zhang, Jeffrey Copeland, and Juanzhen Sun. "An Evaluation of Two NEXRAD Wind Retrieval Methodologies and Their Use in Atmospheric Dispersion Models." Journal of Applied Meteorology and Climatology 47, no. 9 (September 1, 2008): 2351–71. http://dx.doi.org/10.1175/2008jamc1853.1.

Full text

Abstract:

Abstract Two entirely different methods for retrieving 3D fields of horizontal winds from Next Generation Weather Radar (NEXRAD) radial velocities have been evaluated using radar wind profiler measurements to determine whether routine wind retrievals would be useful for atmospheric dispersion model applications. The first method uses a physical algorithm based on four-dimensional variational data assimilation, and the second simpler method uses a statistical technique based on an analytic formulation of the background error covariance. Both methods can be run in near–real time, but the simpler method was executed about 2.5 times as fast as the four-dimensional variational method. The observed multiday and diurnal variations in wind speed and direction were reproduced by both methods below ∼1.5 km above the ground in the vicinity of Oklahoma City, Oklahoma, during July 2003. However, wind retrievals overestimated the strength of the nighttime low-level jet by as much as 65%. The wind speeds and directions obtained from both methods were usually similar when compared with profiler measurements, and neither method outperformed the other statistically. Within a dispersion model framework, the 3D wind fields and transport patterns were often better represented when the wind retrievals were included along with operational data. Despite uncertainties in the wind speed and direction obtained from the wind retrievals that are higher than those from remote sensing radar wind profilers, the inclusion of the wind retrievals is likely to produce more realistic temporal variations in the winds aloft than would be obtained by interpolation using the available radiosondes, especially during rapidly changing synoptic- and mesoscale conditions.

APA, Harvard, Vancouver, ISO, and other styles

50

Zhang, Shixuan, Zhaoxia Pu, Derek J. Posselt, and Robert Atlas. "Impact of CYGNSS Ocean Surface Wind Speeds on Numerical Simulations of a Hurricane in Observing System Simulation Experiments." Journal of Atmospheric and Oceanic Technology 34, no. 2 (February 2017): 375–83. http://dx.doi.org/10.1175/jtech-d-16-0144.1.

Full text

Abstract:

AbstractThe NASA Cyclone Global Navigation Satellite System (CYGNSS) was launched in late 2016. It will make available frequent ocean surface wind speed observations throughout the life cycle of tropical storms and hurricanes. In this study, the impact of CYGNSS ocean surface winds on numerical simulations of a hurricane case is assessed with a research version of the Hurricane Weather Research and Forecasting Model and a Gridpoint Statistical Interpolation analysis system in a regional observing system simulation experiment framework. Two different methods for reducing the CYGNSS data volume were tested: one in which the winds were thinned and one in which the winds were superobbed.The results suggest that assimilation of the CYGNSS winds has great potential to improve hurricane track and intensity simulations through improved representations of the surface wind fields, hurricane inner-core structures, and surface fluxes. The assimilation of the superobbed CYGNSS data seems to be more effective in improving hurricane track forecasts than thinning the data.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!