Homogenization of Climate Data: Review and New Perspectives Using Geostatistics

Costa, Ana Cristina; Soares, Amílcar

doi:10.1007/s11004-008-9203-3

Cited by 199 publications

(142 citation statements)

References 36 publications

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“…In this study, the Standard Normal Homogeneity Test (Alexandersson, 1986), a location specific homogeneity test, was applied to examine the consistence of rainfall data. This test assumes that the data collected at all sites within a same climatic region should be highly correlated, have similar variability, and differ only by scaling factors and random sampling variability (Costa and Soares, 2009), therefore, homogeneity of a data series can be checked by comparing with a single or multiple reference series (Toreti et al, 2011). For rainfall records at each of the 298 stations, the homogeneity was examined by comparing the annual rainfall value with four highly correlated reference series from the surrounding stations, following the procedure in literature (Jiang et al, 2008;Khaliq and Ouarda, 2007;Liu and Sun, 1995).…”

Section: Rainfall Data and The Homogeneity Checkmentioning

confidence: 99%

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Yang

2015

CATENA

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This study evaluated rainfall erosivity and its changes in China's dryland region during 1961-2012, using a daily rainfall erosivity model, ArcGIS based spatial interpolation tools, and the Mann-Kendall and Sen's methods. It was found that mean rainfall erosivity was 2-4098 MJ mm ha −1 h −1 a −1 in the region, with the regional average of 794 MJ mm ha −1 h −1 a −1 , showing a significant increase trend accordingly with an increase in rainfall from northwest to southeast. Rainfall erosivity varied annually with the CV of 32.4-491.3%, and varied seasonally with about three-quarter distributed in summer. During 1961-2012, a statistically significant increase/decrease trend in rainfall erosivity was detected only for 24/10 stations or about 4.6/0.4% of the region, and a nonsignificant increase/decrease trend was observed for 32/45 stations or 16.5/10.0% of the region at the 50 to 90% confidence level. No statistically confidential trend was found for other 126 stations or 68.5% of the region. At regional level, mean annual erosivity of the arid zone indicated an upward trend, while the sub-humid zone a downward, but the semi-arid zone generally had no evidential trend. Comparing the 26 year's averages during 1987-2012 and 1961-1986, mean erosivity of the arid zone increased by 17.4%, the sub-humid zone decreased by 6.1%, and the semi-arid zone reduced slightly by 0.45%. The results suggest that change in the rainfall characteristics during the past half century had no significant influence on water erosion in the majority of the region, but it could probably induce an increase of water erosion risk in parts of the drier west and a slight decrease in parts of the wetter east including the Loess Plateau.

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Section: Rainfall Data and The Homogeneity Checkmentioning

confidence: 99%

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Yang

2015

CATENA

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“…Stations which were found not to be homogenous by three or more tests at 5 % significance were only analyzed for study at station level and excluded from regional analyses. This decision was based on reasons which can be found in the literature such as Easterling et al (1996), Peterson et al (1998a, b), Costa andSoares (2009), Domonkos (2011), and others. Therefore, for further analysis, the following station annual series were not used in generating a regional average rainfall series, namely Bumagi, Kabasanda, Kigorobya, Bugoye, Kisomoro, Kyembogo, Kijura, Masindi, Nalweyo, Kakumiro, Kyegegwa, and Rwashamaire (Table 1).…”

Section: Quality Control and Homogeneitymentioning

confidence: 99%

Analysis of mid-twentieth century rainfall trends and variability over southwestern Uganda

Nsubuga

Olwoch

Rautenbach

et al. 2013

Theor Appl Climatol

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A methodology has been applied to investigate the spatial variability and trends existent in a mid-twentieth century climatic time series (for the period recorded by 58 climatic stations in the Albert-Victoria water management area in Uganda. Data were subjected to quality checks before further processing. In the present work, temporal trends were analyzed using Mann-Kendall and linear regression methods. Heterogeneity of monthly rainfall was investigated using the precipitation concentration index (PCI). Results revealed that 53 % of stations have positive trends where 25 % are statistically significant and 45 % of stations have negative trends with 23 % being statistically significant. Very strong trends at 99 % significance level were revealed at 12 stations.

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“…The fact that BPs can be triggered by non-climate factors (e.g. instrument exposure, land use, location changes) has also been studied [27,30,31,31].…”

Section: Introductionmentioning

confidence: 99%

Detecting breakpoints in artificially modified- and real-life time series using three state-of-the-art methods

et al. 2016

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Time series often contain breakpoints of di erent origin, i.e. breakpoints, caused by (i) shifts in trend, (ii) other changes in trend and/or, (iii) changes in variance. In the present study, arti cially generated time series with white and red noise structures are analyzed using three recently developed breakpoint detection methods. The time series are modi ed so that the exact "locations" of the arti cial breakpoints are prescribed, making it possible to evaluate the methods exactly. Hence, the study provides a deeper insight into the behaviour of the three di erent breakpoint detection methods. Utilizing this experience can help solving breakpoint detection problems in reallife data sets, as is demonstrated with two examples taken from the elds of paleoclimate research and petrology.

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Homogenization of Climate Data: Review and New Perspectives Using Geostatistics

Cited by 199 publications

References 36 publications

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961–2012

Analysis of mid-twentieth century rainfall trends and variability over southwestern Uganda

Detecting breakpoints in artificially modified- and real-life time series using three state-of-the-art methods

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