Use of principal component analysis to identify homogeneous precipitation stations for optimal interpolation

Morin, Guy; Fortin, Jean‐Pierre; Sochanska, W.; Lardeau, J.-P.; Charbonneu, Raymond

doi:10.1029/wr015i006p01841

Cited by 43 publications

(19 citation statements)

References 4 publications

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“…The results are in agreement with the findings of Morin et al (1979) and Cohen (1983). It thus appears that the data of earlier years with less areal coverage may also be useful to study climate regions.…”

Section: Discussionsupporting

confidence: 92%

Climate patterns derived from chinese proxy precipitation records: An evaluation of the station networks and statistical techniques

Ronberg

Wang

1987

J. Climatol.

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The 510-year, 120-station proxy precipitation records published by the State Meteorological Administration of the People's Republic of China were used to study the large-scale climate patterns, including the climate regions and interregional relationships. In this paper, we present a study of the sensitivity of the climate patterns of recent years (1950-1979) to choice of stations and statistical techniques. First, the original highly inhomogeneous 120-station network is reduced to a quasi-uniform network comprising 93 stations. Next, based on the reduced network, two new networks are derived-a 47-station network with the same spatial domain and a 29-station network with half the domain. The climate patterns for these station networks are compared by use of two different statistical procedures, principal component analysis/cluster analysis and factor analysis with orthogonal and oblique rotations. It is found that the climate patterns remain similar when the density and domain of the 120-station network are systematically reduced. It is also found that similar climate patterns are obtained using either of the chosen statistical techniques, although factor analysis appears to be more sensitive to changes in the network than principal component/cluster analysis. Examination of measurement data also reveals large-scale climate patterns similar to those derived from the proxy data. Finally, the climate patterns are shown to be consistent with geophysical factors. KEY WORDS Climate pattern Chinese precipitation index Cluster analysis Factor analysis Principal component analysis

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Section: Discussionsupporting

confidence: 92%

Climate patterns derived from chinese proxy precipitation records: An evaluation of the station networks and statistical techniques

Ronberg

Wang

1987

J. Climatol.

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“…The introduction of variable Z ′ is a first step in establishing more complex variables that express the topography close to each meteorological station without having knowledge of local terrain-atmospheric relationships. The use of special analyses (mainly cluster, ordination and factor analyses) could help the identification of groups of meteorological stations with high spatial climatic homogeneity (mainly in respect to seasonality and feature variability) and it has been shown that such segregation may significantly increase the quality of interpolation results (Beek et al, 1992;Comrie and Glenn, 1998;Daly et al, 2002;Johnson and Hanson, 1995;Lolis et al, 1999;Martínez-Cob, 1996;Morin et al, 1979;Saghafian and Bondarabadi, 2008;Wotling et al, 2000). Such segregation is often used to regionalize large and complex areas and define associated boundaries that make physical sense in terms of the driving atmospheric and topographic processes (Comrie and Glenn, 1998).…”

Section: Discussionmentioning

confidence: 99%

The relationship between altitude of meteorological stations and average monthly and annual precipitation

2009

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The aim of this study was to prove that altitudinal variability of average monthly and annual precipitation is better summarised when the altitude observed within a radius of several kilometres around a meteorological station is taken into consideration, instead of the altitude of the station itself. The use of the variable Z', which combines the altitude of the closest mountain with its distance from the station, is compared against the use of altitude alone in simple linear and multiple quadratic regression equations for the altitudinal interpolation of precipitation over Greece. The data-set comprised precipitation observations from 516 meteorological stations. The comparison between the two variables is discussed on the basis of the resulting determination coefficients (R 2 ) and standard errors of estimate (S). For all seasons, except summer, it was found that the variable Z′ improves the predictive ability of the regression equations, thus showing its potential for further use in interpolation procedures.K e y w o r d s :

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“…It has shown good results in Canada [47][48], especially, it has produced relatively good flow and water temperature simulations for the Fourchue River [40], which is the study area. The CEQUEAU model is a semi-distributed hydrologic model which takes into account the hydro-physiographic characteristics of the basin [49]. As shown in Figure 1, the drainage basin is divided into hydrological units of equal size, called "whole squares".…”

Section: Water Temperature Model: Cequeau Modelmentioning

confidence: 99%

Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

Kwak¹,

St‐Hilaire

Chebana

et al. 2017

Water

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Abstract:It is accepted that human-induced climate change is unavoidable and it will have effects on physical, chemical, and biological properties of aquatic habitats. This will be especially important for cold water fishes such as trout. The objective of this study is to simulate water temperature for future periods under the climate change situations. Future water temperature in the Fourchue River (St-Alexandre-de-Kamouraska, QC, Canada) were simulated by the CEQUEAU hydrological and water temperature model, using meteorological inputs from the Coupled Model Intercomparison Project Phase 5 (CMIP5) Global Circulation Models (GCMs) with Representative Concentration Pathway (RCP) 2.6, 4.5 and 8.5 climate change scenarios. The result of the study indicated that water temperature in June will increase 0.2-0.7 • C and that in September, median water temperature could decrease by 0.2-1.1 • C. The rise in summer water temperature may be favorable to brook trout (Salvelinus fontinalis) growth, but several days over the Upper Incipient Lethal Temperature (UILT) are also likely to occur. Therefore, flow regulation procedures, including cold water releases from the Morin dam may have to be considered for the Fourchue River.

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Use of principal component analysis to identify homogeneous precipitation stations for optimal interpolation

Cited by 43 publications

References 4 publications

Climate patterns derived from chinese proxy precipitation records: An evaluation of the station networks and statistical techniques

Climate patterns derived from chinese proxy precipitation records: An evaluation of the station networks and statistical techniques

The relationship between altitude of meteorological stations and average monthly and annual precipitation

Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

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