A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales

Published on Jun 15, 2008in International Journal of Climatology 3.10
· DOI :10.1002/joc.1583
W. Luo9
Estimated H-index: 9
(Central Science Laboratory),
M. C. Taylor1
Estimated H-index: 1
(Central Science Laboratory),
S. R. Parker1
Estimated H-index: 1
(Central Science Laboratory)
Abstract
Seven methods of spatial interpolation were compared to determine their suitability for estimating daily mean wind speed surfaces, from data recorded at nearly 190 locations across England and Wales. The eventual purpose of producing such surfaces is to help estimate the daily spread of pathogens causing crop diseases as they move across regions. The interpolation techniques included four deterministic and three geostatistical methods. Quantitative assessment of the continuous surfaces showed that there was a large difference between the accuracy of the seven interpolation methods and that the geostatistical methods were superior to deterministic methods. Further analyses, testing the reliability of the results, showed that measurement accuracy, density, distribution and spatial variability had a substantial influence on the accuracy of the interpolation methods. Independent wind speed data from ten other dates were used to confirm the robustness of the best interpolation methods. © Crown copyright 2007. Reproduced with the permission of Her Majesty's Stationery Office. Published by John Wiley & Sons, Ltd.
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References33
Published on Jan 1, 1998
Peter A. Burrough25
Estimated H-index: 25
,
Rachael A. McDonnell2
Estimated H-index: 2
Keywords: information handling ; geostatistics ; fuzzy logic Reference Record created on 2005-06-20, modified on 2016-08-08
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Donald L. Phillips42
Estimated H-index: 42
(United States Environmental Protection Agency),
Jayne Dolph3
Estimated H-index: 3
(United States Environmental Protection Agency),
Danny Marks40
Estimated H-index: 40
(United States Environmental Protection Agency)
Abstract Spatially distributed measurements or estimates of precipitation over a region are required for modelling of hydrologic processes and soil moisture for agricultural and natural resource management. Simple interpolation methods fail to consider the effects of topography on precipitation and may be in considerable error in mountainous regions. The performance of three geostatistical methods for making mean annual precipitation estimates on a regular grid of points in mountainous terrain w...
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Guillermo Q. Tabios2
Estimated H-index: 2
,
Jose D. Salas34
Estimated H-index: 34
One of the problems which often arises in engineering hydrology is to estimate data at a given site because either the data are missing or the site is ungaged. Such estimates can be made by spatial interpolation of data available at other sites. A number of spatial interpolation techniques are available today with varying degrees of complexity. It is the intent of this paper to compare the applicability of various proposed interpolation techniques for estimating annual precipitation at selected ...
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Alfred H. Thiessen2
Estimated H-index: 2
684 Citations Source Cite
Published on Mar 1, 1994in Geoderma 3.74
Michael F. Hutchinson34
Estimated H-index: 34
(Australian National University),
Paul E. Gessler31
Estimated H-index: 31
(Commonwealth Scientific and Industrial Research Organisation)
Abstract Minimum cross validation thin plate smoothing splines are easy to use. They are approximately as accurate for interpolation as kriging, but avoid initial estimation of the covariance structure. Their smoothing properties suggest a natural parallel with the version of kriging where the nugget variance is interpreted as measurement error, so that there are no singularities at the data points. Both methods are then seen to be estimators of the underlying spatially coherent signal which fil...
286 Citations Source Cite
Published on Oct 1, 1970in Journal of the ACM 1.74
Hiroshi Akima1
Estimated H-index: 1
A new mathematical method is developed for interpolation from a given set of data points in a plane and for fitting a smooth curve to the points. This method is devised in such a way that the resultant curve will pass through the given points and will appear smooth and natural. It is based on a piecewise function composed of a set of polynomials, each of degree three, at most, and applicable to successive intervals of the given points. In this method, the slope of the curve is determined at each...
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Sergio M. Vicente-Serrano48
Estimated H-index: 48
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M. Angel Saz-Sánchez1
Estimated H-index: 1
,
José María Cuadrat7
Estimated H-index: 7
This paper analyzes the validity of various precipitation and temperature maps obtained by means of diverse interpolation methods. The study was carried out in an area where geographic differences and spatial climatic diversity are significant (the middle Ebro Valley in the northeast of Spain). Two variables, annual precipitation and temperature, and several interpolation methods were used in the climate mapping: global interpolators (trend surfaces and regression models), local inter- polators ...
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Published on Jan 3, 1989in Computers & Geosciences 2.57
Barbara Ann Eckstein1
Estimated H-index: 1
(University of California, San Diego)
Abstract Bivariate polynomial and weighted average interpolations were tested on two data sets. One data set consisted of irregularly spaced Bouguer gravity values. Maps derived from automated interpolation were compared to a manually created map to determine the best computer-generated diagram. For this data set, bivariate polynomial interpolation was inadequate, showing many spurious circular anomalies with extrema greatly exceeding the input values. The greatest distortion occurred near rough...
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Published on Jan 1, 1997
Timothy C. Coburn9
Estimated H-index: 9
(Abilene Christian University)
1. Exploratory Data Analysis 2. The Random Functions Model 3. Inference and Modeling 4. Local Estimation: Accounting for a Single Attribute 5. Local Estimation: Accounting for Secondary Information 6. Assessment of Local Uncertainty 7. Assessment of Spatial Uncertainty 8. Summary
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Published on Jul 1, 1985in Mathematical Geosciences 1.57
Noel A Cressie53
Estimated H-index: 53
(Iowa State University)
The method of weighted least squares is shown to be an appropriate way of fitting variogram models. The weighting scheme automatically gives most weight to early lags and down-weights those lags with a small number of pairs. Although weights are derived assuming the data are Gaussian (normal), they are shown to be still appropriate in the setting where data are a (smooth) transform of the Gaussian case. The method of (iterated) generalized least squares, which takes into account correlation betw...
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This paper is based on the event in Penang that caused fatality, injuries and damages. This study focuses on high-rise building near to the incident area using the wind speed during that event. The aim of this study is to compare the best interpolation methods from the results of estimated wind speed at that respective building. The interpolation process used IDW and TIN method using GIS IDRISI Selva software. IDW method covers for all the area but TIN method do not cover beyond the triangulatio...
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Fabio Veronesi6
Estimated H-index: 6
,
Stefano Grassi4
Estimated H-index: 4
+ 1 AuthorsLorenz Hurni15
Estimated H-index: 15
Wind resource assessment is fundamental when selecting a site for wind energy projects. Wind speed is influenced by a plethora of environmental factors and understanding its spatial variability is key for determining the economic viability of a site. Deterministic estimation methods, which are based on physics, represent the industry standard in wind-speed mapping. Over the years, these methods have proven capable of estimating wind speed with a relatively high accuracy. However measuring statio...
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Timothy Andrew Joyner1
Estimated H-index: 1
(East Tennessee State University),
Carol J. Friedland4
Estimated H-index: 4
(Louisiana State University)
+ 3 AuthorsGernot Paulus4
Estimated H-index: 4
Abstract Maximum sustained and peak gust winds from eighteen European windstorms over the last 25 years were analyzed previously to develop surface-level wind predictions across a large and topographically varied landscape based on an anisotropic kriging interpolation methodology for meteorological station data. Results suggested that coastal and mountainous areas experience the highest wind speeds and highest variability over short distances, resulting in the highest errors across concurrent in...
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Published on May 16, 2014in Journal of Geophysical Research 2.71
Y. Gao1
Estimated H-index: 1
(Peking University),
Hao Wang48
Estimated H-index: 48
+ 6 AuthorsY. W. He1
Estimated H-index: 1
(China University of Petroleum)
Storm surges are responsible for much of the damage and loss of life associated with landfalling tropical cyclones (TCs). Thus, understanding the characteristics of risk associated with TC storm surges for the coastal regions of China is of great interest. Based on a comprehensive assessment of hazard indices for TC storm surges and vulnerability indices for coastal counties, we obtained a risk assessment for coastal regions of China as a county-level unit. The hazard index was calculated using ...
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Matthias Ritter7
Estimated H-index: 7
(Humboldt University of Berlin),
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Estimated H-index: 5
(Humboldt University of Berlin)
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Estimated H-index: 2
To meet the increasing global demand for renewable energy, such as wind energy, an increasing number of wind parks are being constructed worldwide. Finding a suitable location requires a detailed and often costly analysis of local wind conditions. Plain average wind speed maps cannot provide a precise forecast of wind power because of the non-linear relationship between wind speed and production. We suggest a new approach to assess the local wind energy potential. First, meteorological reanalysi...
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Published on Jun 1, 2015
Dorian Sidea1
Estimated H-index: 1
(Politehnica University of Bucharest),
Ileana Baran2
Estimated H-index: 2
(Politehnica University of Bucharest),
Tudor Leonida1
Estimated H-index: 1
(Politehnica University of Bucharest)
The paper presents a method developed to assess the conductor temperature considering the meteorological conditions on transmission lines route. In order to calculate the conductor temperature the non-steady heat balance equation is used. The terms of this equation are evaluated considering the meteorological conditions and power flow data. Two input data sets are used: forecasted and measured values. Numerical forecasted values are interpolated considering the line assets geographical position....
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Jacques Célestin Moliba Bankanza1
Estimated H-index: 1
(University of Kinshasa)
This study aims to develop the spatial model of summer precipitation over the Czech Republic using auxiliary geographical variables in order to produce gridded data needed for various applications. Accordingly, the most significant geographical variables are used to model spatial patterns of summer precipitation during the period 1971–2003. They are related to latitude; longitude; slope aspects of the neighbourhood grids westward and northward from the central grid (location); the slopes of the ...
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Fulin Fan3
Estimated H-index: 3
(University of Strathclyde),
Keith Bell13
Estimated H-index: 13
(University of Strathclyde)
+ 1 AuthorsDavid Infield37
Estimated H-index: 37
(University of Strathclyde)
This paper aims to describe methods to forecast wind speeds experienced around overhead lines (OHLs) in order to predict the wind cooling effect and thus the dynamic line ratings (DLRs) of OHLs. The wind speed at a particular OHL span is forecast through a kriging interpolation between the wind speed predictions produced by a vector auto-regressive (VAR) model for a limited number of weather stations at which observations have been obtained. A temporal de-trending method is used to ensure the st...
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Published on Jun 15, 2013in International Journal of Climatology 3.10
Sylvain Robert3
Estimated H-index: 3
(ETH Zurich),
Loris Foresti9
Estimated H-index: 9
(University of Lausanne),
Mikhail Kanevski19
Estimated H-index: 19
(University of Lausanne)
This paper presents the general regression neural networks (GRNN) as a nonlinear regression method for the interpolation of monthly wind speeds in complex Alpine orography. GRNN is trained using data coming from Swiss meteorological networks to learn the statistical relationship between topographic features and wind speed. The terrain convexity, slope and exposure are considered by extracting features from the digital elevation model at different spatial scales using specialised convolution filt...
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Sanjeev Gadad2
Estimated H-index: 2
(National Institute of Technology, Karnataka),
Paresh Chandra Deka7
Estimated H-index: 7
(National Institute of Technology, Karnataka)
For this wind resource assessment WRA study, wind speed and direction are the fundamental inputs. Also, these studies are data driven and require large historical wind speed data sets available on the site. This work explores the application of space-based scatterometer winds for assimilation into WRA studies towards the development of offshore wind energy. This article focuses on estimating the performance of Oceansat-2 scatterometer OSCAT-derived wind vector using in situ data from buoys at di...
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