Detecting Discontinuities in Time Series of Upper-Air Data: Development and Demonstration of an Adaptive Filter Technique

Žurbenko, Igor G.; Porter, P. Steven; Gui, Ronghua; Rao, S. Trivikrama; Ku, Jia‐Yeong; Eskridge, Robert E.

doi:10.1175/1520-0442(1996)009<3548:dditso>2.0.co;2

Cited by 98 publications

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“…The middle tercile accounts for 18% of this variation and the middle three quintiles account for 32% of the variation. A more robust method to test the hypothesis is to do an analysis of the discontinuities in the sorted data by using an adaptive filter technique (Zurbenko et al, 1996). This technique has the advantage of being less affected by trends, such as in sorted data.…”

Section: Discussionmentioning

confidence: 99%

Intra‐seasonal rainfall characteristics and their importance to the seasonal prediction problem

Tennant

Hewitson

2002

Intl Journal of Climatology

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Daily station rainfall data in South Africa from 1936 to 1999 are combined into homogeneous rainfall regions using Ward's clustering method. Various rainfall characteristics are calculated for the summer season, defined as December to February. These include seasonal rainfall total, region-average number of station rain days exceeding 1 and 20 mm, region-average of periods between rain days at stations >1 and >20 mm, region-average of wet spell length (sequential days of station rainfall >1 and >20 mm), correlation of daily station rainfall within a region and correlation of seasonal station rainfall anomalies within a region.Rank-ordered rainfall characteristic data generally form an s-shaped curve, and significance testing of discontinuities in these curves suggests that normal rainfall conditions in South Africa consist of a combined middle three quintiles separated from the outer quintiles, rather than the traditional middle tercile.The relationships between the various rainfall characteristics show that seasons with a high total rainfall generally have a higher number of heavy rain days (>20 mm) and not necessarily an increase in light rain days. The length of the period between rain days has a low correlation to season totals, demonstrating that seasons with a high total rainfall may still contain prolonged dry periods. These additional rainfall characteristics are important to end-users, and the analysis undertaken here offers a valuable starting point for seeking physical relationships between rainfall characteristics and the general circulation. Preliminary studies show that the vertical mean wind is related to rainfall characteristics in South Africa. Given that general circulation models capture this part of the circulation adequately, seasonal forecasts of rainfall characteristics become plausible.

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Section: Discussionmentioning

confidence: 99%

Intra‐seasonal rainfall characteristics and their importance to the seasonal prediction problem

Tennant

Hewitson

2002

Intl Journal of Climatology

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“…Examen graphique des données filtrées Le filtre de Kolmogorov-Zurbenko est applicable à des données contenant des tendances et des cycles saisonniers (Zurbenko et al, 1996). Ce filtre a été testé directement sur des données prises en altitude (température et humidité).…”

Section: Approches Subjectivesunclassified

“…Leur amplitude est estimée en calculant la différence des moyennes des valeurs avant et après le saut des données filtrées. Le seuil significatif des sauts est obtenu par un test sur la variance de la série filtrée (Zurbenko et al, 1996).…”

Section: Approches Subjectivesunclassified

“…Quelques études comparatives ont été effectuées sur des séries climatiques simulées (Ducré-Robitaille et al, 2003;Slonosky et al, 1999;Lubes-Niel et al, 1998;Zurbenko et al, 1996;Easterling & Peterson, 1992). Étant donné que les résultats de ces études dépendent fortement de l'effectif et des caractéristiques des séries synthétiques générées, les conclusions doivent être considérées avec prudence.…”

Section: Etudes Comparatives Realiseesunclassified

“…-Les deux méthodes précédentes ont été appliquées à des stations possédant de l'information historique et ont identifié des discontinuités non documentées. Enfin, Zurbenko et al (1996) ont comparé le filtre Kolmogorov-Zurbenko avec le critère de Schwarz pour détecter des discontinuités dans des séries de données en altitude. Ils ont appliqué les techniques sur des séries simulées contenant des patrons saisonniers.…”

Section: Etudes Comparatives Realiseesunclassified

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Synthèse des techniques d'homogénéisation des séries climatiques et analyse d'applicabilité aux séries de précipitations

Beaulieu

Ouarda

Seidou

2007

Hydrological Sciences Journal

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Résumé Au cours des dernières décennies, plusieurs méthodes d'homogénéisation ont été développées pour corriger les ruptures artificielles dans les séries climatiques. Elles ont été développées dans divers pays, pour différentes situations et avec des domaines d'application différents. Cet article présente une revue exhaustive des méthodes d'homogénéisation des séries climatiques publiées dans la littérature. Une analyse critique de ces méthodes ainsi qu'une réflexion sur leur applicabilité aux séries de précipitations totales annuelles sont également présentées.Mots clefs homogénéisation; série climatique; saut; tendance; test statistique; méthodes Bayésiennes A review of homogenization techniques for climate data and their applicability to precipitation seriesAbstract During the last decades, a considerable effort was spent on the development of homogenization techniques that can identify and correct anthropogenic bias in climatic series. These methods were developed in various countries, for different contexts and for different domains of applicability. The present paper is an exhaustive review of published homogenization techniques for climatic series. A critical analysis of the described methods and a discussion on their applicability to total annual precipitation are also presented.

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Homogeneity adjustments ofin situ atmospheric climate data: a review

et al. 1998

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Long‐term in situ observations are widely used in a variety of climate analyses. Unfortunately, most decade‐ to century‐scale time series of atmospheric data have been adversely impacted by inhomogeneities caused by, for example, changes in instrumentation, station moves, changes in the local environment such as urbanization, or the introduction of different observing practices like a new formula for calculating mean daily temperature or different observation times. If these inhomogeneities are not accounted for properly, the results of climate analyses using these data can be erroneous. Over the last decade, many climatologists have put a great deal of effort into developing techniques to identify inhomogeneities and adjust climatic time series to compensate for the biases produced by the inhomogeneities. It is important for users of homogeneity‐adjusted data to understand how the data were adjusted and what impacts these adjustments are likely to make on their analyses. And it is important for developers of homogeneity‐adjusted data sets to compare readily the different techniques most commonly used today. Therefore, this paper reviews the methods and techniques developed for homogeneity adjustments and describes many different approaches and philosophies involved in adjusting in situ climate data. © 1998 Royal Meteorological Society

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Detecting Discontinuities in Time Series of Upper-Air Data: Development and Demonstration of an Adaptive Filter Technique

Cited by 98 publications

References 0 publications

Intra‐seasonal rainfall characteristics and their importance to the seasonal prediction problem

Intra‐seasonal rainfall characteristics and their importance to the seasonal prediction problem

Synthèse des techniques d'homogénéisation des séries climatiques et analyse d'applicabilité aux séries de précipitations

Homogeneity adjustments ofin situ atmospheric climate data: a review

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