Experiences with data quality control and homogenization of daily records of various meteorological elements in the Czech Republic in the period 1961?2010

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F13%3A00395964" target="_blank" >RIV/67179843:_____/13:00395964 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Experiences with data quality control and homogenization of daily records of various meteorological elements in the Czech Republic in the period 1961?2010

Popis výsledku v původním jazyce

Quality control and homogenization has to be undertaken prior to any data analyses in order to eliminate any erroneous values and non-climatic biases in time series. In recent years, considerable attention was paid to daily data since it can serve, amongother conventional climatological analyses, as non-biased input into extreme value analysis, correction of RCM outputs, etc. In this work, we describe and then apply our own approach to data quality control of station measurements, combining several methods: (i) by analyzing difference series between candidate and neighboring stations, (ii) by applying limits derived from interquartile ranges, and (iii) by comparing the series values tested with ?expected values ? technical series created by means of statistical methods for spatial data (e.g., IDW, kriging). Because of the presence of noise in series, statistical homogeneity tests render results with some degree of uncertainty. In this work, the use of various statistical tests and ref

Název v anglickém jazyce

Experiences with data quality control and homogenization of daily records of various meteorological elements in the Czech Republic in the period 1961?2010

Popis výsledku anglicky

Quality control and homogenization has to be undertaken prior to any data analyses in order to eliminate any erroneous values and non-climatic biases in time series. In recent years, considerable attention was paid to daily data since it can serve, amongother conventional climatological analyses, as non-biased input into extreme value analysis, correction of RCM outputs, etc. In this work, we describe and then apply our own approach to data quality control of station measurements, combining several methods: (i) by analyzing difference series between candidate and neighboring stations, (ii) by applying limits derived from interquartile ranges, and (iii) by comparing the series values tested with ?expected values ? technical series created by means of statistical methods for spatial data (e.g., IDW, kriging). Because of the presence of noise in series, statistical homogeneity tests render results with some degree of uncertainty. In this work, the use of various statistical tests and ref

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Idöjárás. Quarterly journal of the Hungarian meteorological society

ISSN

0324-6329

e-ISSN

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Svazek periodika

117

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

HU - Maďarsko

Počet stran výsledku

19

Strana od-do

123-141

Kód UT WoS článku

000316361000008

EID výsledku v databázi Scopus

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