Spatial Interpolation of Meteorological Data in Complex Terrain Using Temporal Statistics

1987 ◽  
Vol 26 (12) ◽  
pp. 1696-1708 ◽  
Author(s):  
William Porch ◽  
Daniel Rodriguez
Keyword(s):  
Complex Terrain ◽  
Spatial Interpolation ◽  
Meteorological Data ◽  
Temporal Statistics

The Application of the Micro-Siting Technique in Tioman Island, Malaysia Using the RIAM-COMPACT Software

2014 ◽  
Vol 660 ◽  
pp. 745-749
Author(s):  
Rosly Nurhayati ◽  
Mohd Sofian
Keyword(s):  
Complex Terrain ◽  
Meteorological Data ◽  
Computational Prediction ◽  
Applied Mechanics ◽  
Eddy Simulation ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Large Eddy ◽  
Asean Countries ◽  
Wind Resources

ASEAN (Association of Southeast Asian Nations) countries may have a huge potential for utilizing wind energy as it requires little in the way of land. Land in these countries is very fertile and is used by other alternatives, therefore reducing its conduciveness for developing solar energy. The wind resources map is widely available for Laos, Vietnam, Thailand, Cambodia and Philippines but there is not much information about other ASEAN countries. Based on meteorological data, Tioman Island was selected as the area that had the best potential for installing wind turbines in Malaysia. A more detailed study was conducted using a CFD model for unsteady flow, known as the Research Institute for Applied Mechanics, Kyushu University, COMputational Prediction of Airflow over Complex Terrain (RIAM-COMPACT®) which is based on the Large-Eddy Simulation (LES) technique. Micro-siting technique is used as a tool for selecting appropriate point and an inappropriate point for locating wind turbine generators (WTGs) at Tioman Island, Malaysia. The suggested points for locating WTGs were shown based on the numerical results obtained from the calculation.

Simulation of the wind fields over complex terrain with coupling of CFD and WRF

2021 ◽  
pp. 1-12
Author(s):  
Xiaoyu Luo ◽  
Yiwen Cao
Keyword(s):  
Wind Speed ◽  
Wind Field ◽  
Complex Terrain ◽  
Civil Engineering ◽  
Meteorological Data ◽  
Mass Conservation ◽  
Coupling Method ◽  
Wind Fields ◽  
Civil Structures ◽  
Civil Engineers

In the field of civil engineering, the meteorological data available usually do not have the detailed information of the wind near a certain site. However, the detailed information of the wind field during typhoon is important for the wind-resistant design of civil structures. Furthermore, the resolution of the meteorological data available by the civil engineers is too coarse to be applicable. Therefore it is meaningful to obtain the detailed information of the wind fields based on the meteorological data provided by the meteorological department. Therefore, in the present study, a one-way coupling method between WRF and CFD is adopted and a method to keep the mass conservation during the simulation in CFD is proposed. It is found that using the proposed one-way coupling method, the predicted wind speed is closer to the measurement. And the curvature of the wind streamline during typhoon is successfully reproduced.

scholarly journals Comparison of Four Spatial Interpolation Methods for Estimating Soil Moisture in a Complex Terrain Catchment

PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54660 ◽  
Author(s):  
Xueling Yao ◽  
Bojie Fu ◽  
Yihe Lü ◽  
Feixiang Sun ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Complex Terrain ◽  
Spatial Interpolation ◽  
Interpolation Methods ◽  
Spatial Interpolation Methods

A Simple Method for Spatial Interpolation of the Wind in Complex Terrain

1995 ◽  
Vol 34 (7) ◽  
pp. 1678-1693 ◽  
Author(s):  
I. Palomino ◽  
F. Martín
Keyword(s):  
Wind Field ◽  
Complex Terrain ◽  
Spatial Interpolation ◽  
Grid Point ◽  
Surface Wind ◽  
Weighted Averaging ◽  
Wind Vector ◽  
Simple Method ◽  
Elevation Difference ◽  
Inverse Distance

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.

Spatial interpolation of meteorological data and forecasting rainfall using ensemble techniques

2020 ◽  
Author(s):  
S. Dhamodaran ◽  
Albert Mayan J. ◽  
N. Saibharath ◽  
N. Nagendra ◽  
M. Sundarrajan
Keyword(s):  
Spatial Interpolation ◽  
Meteorological Data ◽  
Ensemble Techniques

Reproducibility of Surface Wind and Tracer Transport Simulations over Complex Terrain Using 5-, 3-, and 1-km-Grid Models

2020 ◽  
Vol 59 (5) ◽  
pp. 937-952 ◽  
Author(s):  
Tsuyoshi Thomas Sekiyama ◽  
Mizuo Kajino
Keyword(s):  
Complex Terrain ◽  
Mesoscale Model ◽  
Meteorological Data ◽  
Surface Wind ◽  
Weather Conditions ◽  
Radioactive Cesium ◽  
Model Resolution ◽  
Tracer Transport ◽  
Mountainous Areas ◽  
Sampling System

AbstractThe reproducibility of surface wind and tracer transport simulations from high-resolution weather and transport models was studied over complex terrain in wintertime in Japan. The horizontal grid spacing was varied (5-, 3-, and 1-km grids), and radioactive cesium (Cs-137) from the Fukushima nuclear power plant was used as a tracer. Fukushima has complex terrain, such as mountains and valleys. The model results were validated by observations collected from the national networks of the automated meteorological data acquisition system and the hourly air pollution sampling system. The reproducibility depended on the model resolution, topographic complexity, and synoptic weather conditions. Higher model resolution led to higher reproducibility of surface winds, especially in mountainous areas when the Siberian winter monsoon was disturbed. In contrast, the model improvement was negligible or nonexistent over plain/coastal areas when the synoptic field was steady. The statistical scores of the tracer transport simulations often deteriorated as a result of small errors in the plume locations. However, the higher-resolution models advantageously performed better transport simulations in the mountainous areas because of the lower numerical diffusion and higher reproducibility of the mass flux. The reproducibility of the tracer distribution in the valley of the Fukushima mountainous region was dramatically improved with increasing model resolution. In the range of mesoscale model resolutions (commonly 1–10 km), it was concluded that a higher-resolution model is definitely recommended for tracer transport simulations over mountainous terrain.

scholarly journals Inline Coupling of WRF–HYSPLIT: Model Development and Evaluation Using Tracer Experiments

2015 ◽  
Vol 54 (6) ◽  
pp. 1162-1176 ◽  
Author(s):  
Fong Ngan ◽  
Ariel Stein ◽  
Roland Draxler
Keyword(s):  
Complex Terrain ◽  
Dispersion Model ◽  
Meteorological Data ◽  
Temporal Frequency ◽  
Regional Scale ◽  
Grid Spacing ◽  
Hysplit Model ◽  
Meteorological Model ◽  
Vertical Coordinate ◽  
Tracer Experiments

AbstractThe Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT), a Lagrangian dispersion model, has been coupled (inline) to the the Weather Research and Forecasting (WRF) Model meteorological model in such a way that the HYSPLIT calculation is run as part of the WRF-ARW prediction calculation. This inline version of HYSPLIT takes advantage of the higher temporal frequency of WRF-ARW variables relative to what would be available for the offline approach. Furthermore, the dispersion calculation uses the same vertical coordinate system as WRF-ARW, resulting in a more consistent depiction of the state of the atmosphere and the dispersion simulation. Both inline and the offline HYSPLIT simulations were conducted for two tracer experiments at quite different model spatial resolutions: the Cross Appalachian Tracer Experiment (CAPTEX) in regional scale (at 9-km grid spacing) and the Atmospheric Studies in Complex Terrain (ASCOT) in finescale (at 333.3-m grid spacing). A comparison of the model with the measured values showed that the results of the two approaches were very similar for all six releases in CAPTEX. For the ASCOT experiments, the cumulative statistical score of the inline simulations was better than or equal to offline runs in four of five releases. Although the use of the inline approach did not provide any advantage over the offline method for the regional spatial scale and medium-range temporal scale represented by the CAPTEX experiment, the inline HYSPLIT was able to improve the simulation of the dispersion when compared with the offline version for the fine spatial and temporal resolutions over the complex-terrain area represented by ASCOT. The improvement of the inline over the offline calculation is attributed to the elimination of temporal and vertical interpolation of the meteorological data as compared with the offline version.

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