DOI: 10.1002/2017JC013023
Scopus记录号: 2-s2.0-85041895604
论文题名: Geostatistical Analysis of Mesoscale Spatial Variability and Error in SeaWiFS and MODIS/Aqua Global Ocean Color Data
作者: Glover D.M. ; Doney S.C. ; Oestreich W.K. ; Tullo A.W.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 1 起始页码: 22
结束页码: 39
语种: 英语
英文关键词: error
; geostatistics
; MODIS
; patchiness
; SeaWiFS
; variogram
Scopus关键词: chlorophyll
; environmental impact
; error analysis
; geostatistics
; marine ecosystem
; MODIS
; ocean color
; phytoplankton
; SeaWiFS
; spatial variation
; variogram
英文摘要: Mesoscale (10–300 km, weeks to months) physical variability strongly modulates the structure and dynamics of planktonic marine ecosystems via both turbulent advection and environmental impacts upon biological rates. Using structure function analysis (geostatistics), we quantify the mesoscale biological signals within global 13 year SeaWiFS (1998–2010) and 8 year MODIS/Aqua (2003–2010) chlorophyll a ocean color data (Level-3, 9 km resolution). We present geographical distributions, seasonality, and interannual variability of key geostatistical parameters: unresolved variability or noise, resolved variability, and spatial range. Resolved variability is nearly identical for both instruments, indicating that geostatistical techniques isolate a robust measure of biophysical mesoscale variability largely independent of measurement platform. In contrast, unresolved variability in MODIS/Aqua is substantially lower than in SeaWiFS, especially in oligotrophic waters where previous analysis identified a problem for the SeaWiFS instrument likely due to sensor noise characteristics. Both records exhibit a statistically significant relationship between resolved mesoscale variability and the low-pass filtered chlorophyll field horizontal gradient magnitude, consistent with physical stirring acting on large-scale gradient as an important factor supporting observed mesoscale variability. Comparable horizontal length scales for variability are found from tracer-based scaling arguments and geostatistical decorrelation. Regional variations between these length scales may reflect scale dependence of biological mechanisms that also create variability directly at the mesoscale, for example, enhanced net phytoplankton growth in coastal and frontal upwelling and convective mixing regions. Global estimates of mesoscale biophysical variability provide an improved basis for evaluating higher resolution, coupled ecosystem-ocean general circulation models, and data assimilation. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114768
Appears in Collections: 气候减缓与适应
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作者单位: Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, United States; Now at Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States; Now at Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, United States; Now at School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom
Recommended Citation:
Glover D.M.,Doney S.C.,Oestreich W.K.,et al. Geostatistical Analysis of Mesoscale Spatial Variability and Error in SeaWiFS and MODIS/Aqua Global Ocean Color Data[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(1)