Differences in wind speeds according to measured and homogenized series in the Czech Republic, 1961-2015

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00504652" target="_blank" >RIV/86652079:_____/19:00504652 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00020699:_____/18:N0000111 RIV/00216224:14310/19:00107175

Výsledek na webu

<a href="https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.5800" target="_blank" >https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/joc.5800</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/joc.5800" target="_blank" >10.1002/joc.5800</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Differences in wind speeds according to measured and homogenized series in the Czech Republic, 1961-2015

Popis výsledku v původním jazyce

Non-meteorological factors may bias wind speed measurements in a number of ways, among them the types of instruments used, their calibration and standards of maintenance, station relocations, and changes in the physical surroundings of a given station. Moreover, homogenisation of series of such measurements is more complicated than that of other climatic variables. This contribution uses figures from the Czech Republic as an example to demonstrate that measured (raw) data may produce different results in mean daily wind speeds from those acquired in homogenous series. A basic set of measurements taken in 1961-2015 at 178 meteorological stations was quality-checked and then homogenized using the Standard Normal Homogeneity test (SNHT) and the Maronna-Yohai test. Subsequent analyses were based on homogenized series from 119 stations. Station relocations and automation of wind speed measurements were identified as the most important sources of break-points in series of mean daily wind speeds. Generally lower mean wind speeds (as well as wind speed variability) were obtained from homogenous series in comparison with measured data, with reflections also found in their spatial distribution around the territory of the Czech Republic. Statistically significant decreasing linear trends calculated from measured and homogenized daily wind speed series from 119 stations confirm the existence of wind stilling as a typical feature of land mid-latitudes in recent decades. However, trends from measured data are highly overestimated compared with those from homogenized series.

Název v anglickém jazyce

Differences in wind speeds according to measured and homogenized series in the Czech Republic, 1961-2015

Popis výsledku anglicky

Non-meteorological factors may bias wind speed measurements in a number of ways, among them the types of instruments used, their calibration and standards of maintenance, station relocations, and changes in the physical surroundings of a given station. Moreover, homogenisation of series of such measurements is more complicated than that of other climatic variables. This contribution uses figures from the Czech Republic as an example to demonstrate that measured (raw) data may produce different results in mean daily wind speeds from those acquired in homogenous series. A basic set of measurements taken in 1961-2015 at 178 meteorological stations was quality-checked and then homogenized using the Standard Normal Homogeneity test (SNHT) and the Maronna-Yohai test. Subsequent analyses were based on homogenized series from 119 stations. Station relocations and automation of wind speed measurements were identified as the most important sources of break-points in series of mean daily wind speeds. Generally lower mean wind speeds (as well as wind speed variability) were obtained from homogenous series in comparison with measured data, with reflections also found in their spatial distribution around the territory of the Czech Republic. Statistically significant decreasing linear trends calculated from measured and homogenized daily wind speed series from 119 stations confirm the existence of wind stilling as a typical feature of land mid-latitudes in recent decades. However, trends from measured data are highly overestimated compared with those from homogenized series.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

International Journal of Climatology

ISSN

0899-8418

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

235-250

Kód UT WoS článku

000459638400018

EID výsledku v databázi Scopus

2-s2.0-85052918622