Journal ArticleDOI
Geostatistical interpolation of hourly precipitation from rain gauges and radar for a large-scale extreme rainfall event
TLDR
In this article, the authors compared the performance of Kriging with external drift (KED) and indicator kriging (IKED) for the spatial interpolation of hourly rainfall from rain gauges using additional information from radar, daily precipitation of a denser network, and elevation.About:
This article is published in Journal of Hydrology.The article was published on 2007-01-01. It has received 338 citations till now. The article focuses on the topics: Multivariate interpolation & Variogram.read more
Citations
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Journal ArticleDOI
A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors
Jin Li,Andrew D. Heap +1 more
TL;DR: Comparison studies in environmental sciences are used to assess the performance and to quantify the impacts of data properties on the performance of spatial interpolation methods, finding data variation is a dominant impact factor and has significant effects on theperformance of the methods.
Journal ArticleDOI
Review: Spatial interpolation methods applied in the environmental sciences: A review
Jin Li,Andrew D. Heap +1 more
TL;DR: In this paper, the authors provide guidelines and suggestions regarding application of spatial interpolation methods to environmental data by comparing the features of the commonly applied methods which fall into three categories, namely: non-geostatistical interpolation, geostatistic interpolation and combined methods.
Journal ArticleDOI
MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
Hylke E. Beck,Eric F. Wood,Ming Pan,Colby K. Fisher,Diego G. Miralles,Albert van Dijk,Tim R. McVicar,Robert F. Adler +7 more
TL;DR: The Multi-Source Weighted Ensemble Precipitation (MSWEP) dataset as discussed by the authors is a gridded precipitation P dataset spanning 1979-2017, which is unique in several aspects: i) full global co...
Journal ArticleDOI
Customized spatial climate models for North America
Daniel W. McKenney,Michael F. Hutchinson,P Papadopol,Kevin Lawrence,John H. Pedlar,K Campbell,Ewa J. Milewska,Ron F. Hopkinson,David Price,Timothy W. Owen +9 more
TL;DR: In this paper, the authors outline the method used to generate the spatial models, detail the array of products available and how they may be accessed, briefly describe some of the usage and impact of the models, and discuss anticipated further developments.
Journal ArticleDOI
Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium
TL;DR: In this article, the authors developed different algorithms of spatial interpolation for daily rainfall on 1 km2 regular grids in the catchment area and compared the results of geostatistical and deterministic approaches.
References
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Book
GSLIB: Geostatistical Software Library and User's Guide
TL;DR: In this paper, the authors present a set of programs that summarize data with histograms and other graphics, calculate measures of spatial continuity, provide smooth least-squares-type maps, and perform stochastic spatial simulation.
Book
Geostatistics for natural resources evaluation
TL;DR: In this article, an advanced-level introduction to geostatistics and Geostatistical methodology is provided, including tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation.
Journal ArticleDOI
Geostatistics for Natural Resources Evaluation
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and estimating the effects of noise in a discrete-time model.
Journal ArticleDOI
GSLIB: Geostatistical Software Library and User's Guide
TL;DR: GSLIB as discussed by the authors is a source code that can be used as a starting point for custom programs, advanced applications and research, and is addressed to the reasonably advanced practitioner or researcher who need powerful, flexible and documented programs that are not confined to user-friendly menus.
Journal ArticleDOI
Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall
TL;DR: In this article, three multivariate geostatistical interpolation algorithms for incorporating a digital elevation model into the spatial prediction of rainfall are presented, i.e., simple kriging with varying local means, krigging with an external drift, and colocated cokriging.