Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers

dc.bibliographicCitation.firstPage3317
dc.bibliographicCitation.issue5
dc.bibliographicCitation.journalTitleAtmospheric Chemistry and Physicseng
dc.bibliographicCitation.lastPage3338
dc.bibliographicCitation.volume17
dc.contributor.authorMadhavan, Bomidi Lakshmi
dc.contributor.authorDeneke, Hartwig
dc.contributor.authorWitthuhn, Jonas
dc.contributor.authorMacke, Andreas
dc.date.accessioned2023-04-27T06:45:29Z
dc.date.available2023-04-27T06:45:29Z
dc.date.issued2017
dc.description.abstractThe time series of global radiation observed by a dense network of 99 autonomous pyranometers during the HOPE campaign around Jülich, Germany, are investigated with a multiresolution analysis based on the maximum overlap discrete wavelet transform and the Haar wavelet. For different sky conditions, typical wavelet power spectra are calculated to quantify the timescale dependence of variability in global transmittance. Distinctly higher variability is observed at all frequencies in the power spectra of global transmittance under broken-cloud conditions compared to clear, cirrus, or overcast skies. The spatial autocorrelation function including its frequency dependence is determined to quantify the degree of similarity of two time series measurements as a function of their spatial separation. Distances ranging from 100-m to 10-km are considered, and a rapid decrease of the autocorrelation function is found with increasing frequency and distance. For frequencies above 1-3-ming-1 and points separated by more than 1-km, variations in transmittance become completely uncorrelated. A method is introduced to estimate the deviation between a point measurement and a spatially averaged value for a surrounding domain, which takes into account domain size and averaging period, and is used to explore the representativeness of a single pyranometer observation for its surrounding region. Two distinct mechanisms are identified, which limit the representativeness; on the one hand, spatial averaging reduces variability and thus modifies the shape of the power spectrum. On the other hand, the correlation of variations of the spatially averaged field and a point measurement decreases rapidly with increasing temporal frequency. For a grid box of 10-km-×-10-km and averaging periods of 1.5-3-h, the deviation of global transmittance between a point measurement and an area-averaged value depends on the prevailing sky conditions: 2.8 (clear), 1.8 (cirrus), 1.5 (overcast), and 4.2-% (broken clouds). The solar global radiation observed at a single station is found to deviate from the spatial average by as much as 14-23 (clear), 8-26 (cirrus), 4-23 (overcast), and 31-79-Wg-mg-2 (broken clouds) from domain averages ranging from 1-km-×-1-km to 10-km-×-10-km in area.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/12070
dc.identifier.urihttp://dx.doi.org/10.34657/11104
dc.language.isoeng
dc.publisherKatlenburg-Lindau : EGU
dc.relation.doihttps://doi.org/10.5194/acp-17-3317-2017
dc.relation.essn1680-7324
dc.rights.licenseCC BY 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0
dc.subject.ddc550
dc.subject.othercirruseng
dc.subject.othercloud radiative forcingeng
dc.subject.otherspatiotemporal analysiseng
dc.subject.othertime series analysiseng
dc.subject.othertransmittanceeng
dc.subject.otherGermanyeng
dc.titleMultiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometerseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccess
wgl.contributorTROPOS
wgl.subjectGeowissenschaftenger
wgl.typeZeitschriftenartikelger
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