A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics [PDF]
Advances in Meteorology, 2020 Spatial interpolation of meteorological parameters, closely related to the earth surface, plays important roles in climatological study. However, most of traditional spatial interpolation methods ignore the geographic semantics of interpolation sample ...
Wenjun Wu +6 more
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Spatiotemporal Interpolation for Environmental Modelling [PDF]
Sensors, 2016 A variation of the reduction-based approach to spatiotemporal interpolation (STI), in which time is treated independently from the spatial dimensions, is proposed in this paper. We reviewed and compared three widely-used spatial interpolation techniques:
Ferry Susanto, Paulo de Souza, Jing He
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Earth and Space Science, 2022 The Canadian forest fire weather index (FWI) system requires spatially continuous, gridded weather data for temperature, relative humidity, wind speed, and precipitation.
C. Risk, P. M. A. James
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PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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Comparative evaluation of interpolation methods for the directivity of musical instruments
EURASIP Journal on Audio, Speech, and Music Processing, 2021 Measurements of the directivity of acoustic sound sources must be interpolated in almost all cases, either for spatial upsampling to higher resolution representations of the data, for spatial resampling to another sampling grid, or for use in simulations
David Ackermann +4 more
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Distance in spatial interpolation of daily rain gauge data [PDF]
, 2005 Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. The spatial density of available data sites is often changing with time.
Ahrens, B., Ahrens, Bodo
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Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types [PDF]
Hydrology and Earth System Sciences, 2014 Statistical models of the relationship between precipitation and topography are key elements for the spatial interpolation of rain-gauge measurements in high-mountain regions.
D. Masson, C. Frei
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Spatial interpolation of precipitation depending on elevation: Case study of the Skrapež River, Western Serbia [PDF]
Glasnik Srpskog Geografskog Društva, 2008 In order to make an adequate basic dataset for a subsequent hydrological research, the study of interpolation of precipitation values from measurement stations (points) to large areas (areas) was done.
Kovačević-Majkić Jelena +1 more
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Spatial variability in correlation decay distance and influence on angular-distance weighting interpolation of daily precipitation over Europe [PDF]
, 2009 Angular-distance weighting (ADW) is a common approach for interpolation of an irregular network of meteorological observations to a regular grid. A widely used version of ADW employs the correlation decay distance (CDD) to (1) select stations that should
New, M., Hofstra, N.
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A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
ISPRS International Journal of Geo-Information, 2016 Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng +3 more
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