作者: Frank-Detlef Bockelmann , Walter Puls , Ulrike Kleeberg , Dagmar Müller , Kay-Christian Emeis
DOI: 10.1016/J.MARGEO.2017.11.003
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摘要: Abstract Sediment grain size is well known for its influence on biogeophysical processes and hence, parameter maps, important elements in an integrated ecological modelling strategy. In this study, a large database was compiled from legacy data parameters distributions North Sea surface sediments. The analysed by means of non-linear regression to enable consistent quantification various parameters. second step, multivariate geostatistics (kriging) were employed predict the spatial distribution percentage mud content median with resolution 1 × 1 nautical miles. results show that incorporation secondary information interpolation led physically more realistic representation large-scale patterns compared deterministic approaches. An evaluation map confidence, however, suggests only minor differences quality obtained different kriging techniques. It appears density are not issue when it comes performance. Instead, insufficient metadata constrain assessment harmonisation sets introduce uncertainty into predictions.