title: Spatial-temporal variability of the primary production statistics over the Baltic Sea by means of satellite information
metadata.name: dc.contributor.author
metadata.value: Staritsyn, Dmitry K.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Fuks, Viktor R.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-07-15T19:54:09Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-07-15T19:54:09Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Staritsyn D. K., Fuks V. R. Spatial-temporal variability of the primary production statistics over the Baltic Sea by means of satellite information. Vestnik SPbSU. Earth Sciences, 2017, vol. 62, issue 1, pp. 104–116.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu07.2017.107
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/6816
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Based on a statistical analysis of temporal variability of monthly primary production values calculated
  from satellite measurements of chlorophyll, the linear trends of the primary production in different
  parts of the Baltic Sea for different scales of variability are defined. Root-mean-square deviations of
  the production are assessed for the characteristic range of inter-annual and seasonal time scales. Correlation
  has been estimated between the variable production value and the main hydrometeorological
  processes that determine its variability in the Baltic Sea. Using the spectral analysis, we have estimated
  and mapped amplitudes of the inter-annual and seasonal fluctuations of production. The spatial and
  temporal structure of the seasonal primary production fluctuations in the Baltic Sea is dealt with. The
  annual fluctuations and the semi-annual fluctuations are shown to reach their peaks in the region over
  the sea at about the same time. Estimates of the coherence and phase difference between the primary
  production change and the full flow divergence of currents are obtained in terms of the cross wavelet
  analysis. The most stable estimates (with coherence 0.8–0.9) are found at the periods of seasonal fluctuations.
  The phase lag of the primary production change relative to the full flow divergence are then
  about 3–6 months. Refs 14. Figs 8. Tables 3.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Работа выполнена при поддержке гранта СПбГУ № 18.37.140.2014.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Earth Sciences;Volume 62; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: primary production
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: trends
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: spectral analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cross-correlation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cross-wavelet analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: coherence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: phase difference
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Spatial-temporal variability of the primary production statistics over the Baltic Sea by means of satellite information
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 07-Staritsyn.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/6816/1/07-Staritsyn.pdf
resources.format: Adobe PDF
resources.size: 2,54 MB