Local wavelet correlation: application to timing analysis of multi-satellite CLUSTER data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F04%3A00432141" target="_blank" >RIV/68378289:_____/04:00432141 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5194/angeo-22-4185-2004" target="_blank" >http://dx.doi.org/10.5194/angeo-22-4185-2004</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/angeo-22-4185-2004" target="_blank" >10.5194/angeo-22-4185-2004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Local wavelet correlation: application to timing analysis of multi-satellite CLUSTER data

Popis výsledku v původním jazyce

Multi-spacecraft space observations, such as those of CLUSTER, can be used to infer information about local plasma structures by exploiting the timing differences between subsequent encounters of these structures by individual satellites. We introduce anovel wavelet-based technique, the Local Wavelet Correlation (LWC), which allows one to match the corresponding signatures of large-scale structures in the data from multiple spacecraft and determine the relative time shifts between the crossings. The LWC is especially suitable for analysis of strongly non-stationary time series, where it enables one to estimate the time lags in a more robust and systematic way than ordinary cross-correlation techniques. The technique, together with its properties and some examples of its application to timing analysis of bow shock and magnetopause crossing observed by CLUSTER, are presented. We also compare the performance and reliability of the technique with classical discontinuity analysis methods.

Název v anglickém jazyce

Local wavelet correlation: application to timing analysis of multi-satellite CLUSTER data

Popis výsledku anglicky

Multi-spacecraft space observations, such as those of CLUSTER, can be used to infer information about local plasma structures by exploiting the timing differences between subsequent encounters of these structures by individual satellites. We introduce anovel wavelet-based technique, the Local Wavelet Correlation (LWC), which allows one to match the corresponding signatures of large-scale structures in the data from multiple spacecraft and determine the relative time shifts between the crossings. The LWC is especially suitable for analysis of strongly non-stationary time series, where it enables one to estimate the time lags in a more robust and systematic way than ordinary cross-correlation techniques. The technique, together with its properties and some examples of its application to timing analysis of bow shock and magnetopause crossing observed by CLUSTER, are presented. We also compare the performance and reliability of the technique with classical discontinuity analysis methods.

Druh

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

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

<a href="/cs/project/GA205%2F01%2F1064" target="_blank" >GA205/01/1064: Analýza vln a turbulence v kosmickém plazmatu</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název periodika

Annales Geophysicae

ISSN

0992-7689

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

4185-4196

Kód UT WoS článku

000226831100015

EID výsledku v databázi Scopus

—