Isostatically Corrected Modeled Multilayer Sediment Cover for Global Paleobathymetry Reconstruction with Improved Parameterization using Varying Sediment.

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Isostatically Corrected Modeled Multilayer Sediment Cover for Global Paleobathymetry Reconstruction with Improved Parameterization using Varying Sediment Densities from Ocean Drilling Program(s) Arghya Goswami Department of Natural Sciences Northwest Missouri State University

Keywords from the TITLE For Global Paleobathymetry Reconstruction Modeled Multilayer Sediment Layer Varying Sediment Densities Isostatically Corrected Data Source: Ocean Drilling Program(s)

Motivation Ocean bathymetry influences global climate in numerous ways Detailed knowledge of paleobathymetry is required to quantify various climate processes in the geologic past Paleoclimate simulation are commonly run with ‘bathtub’ like bathymetry. Drive the motivation for paleobathymetry reconstruction. Ocean bathymetry influences global climate in numerous ways Quantifying climate processes in the geologic past requires detailed knowledge of paleobathymetry Paleoclimate simulation are generally run with ‘bathtub’ like bathymetry.

Isostatic Sediment Cover Version 1 of OESBathy: Parameterized sediment cover Multilayer (16 total layers) Isostatically loaded on top of the Depth-to- Basement Dz: Density of the zth layer ρ m: Density of mantle =3300 kgm-3 ρ w: Density of ocean water = 1027.91 kgm-3 Crough (1983) and Sykes (1996) a third-degree polynomial fit between areacorrected global sediment thickness data (Divins, 2003; Whittaker et al., 2013) Sediment loading was calculated using a multicomponent sediment layer with varying sediment densities given in Table 2 in 100m increments of the sediment. The variable sediment densities were calculated from a linear extrapolation of sediment densities in Crosby et al. (2006) For the isostatic correction, in each 100m sediment layer we calculate an adjusted thickness given by xxxxxxxxxxxxxxxxxxxx where Rhoz is the density of the zth layer, Rhom D3300 kgm􀀀3 and Rhow D 1000 kgm􀀀3. The sediment model has a total of 16 layers in which the basal layer includes all sediment deeper than 1500 m. For a given location we sum Dz to obtain the isostatically adjusted total sediment thickness, which is then added to the depth to basement to obtain the open ocean bathymetry. This loading correction is similar to procedures used by Crough (1983) and Sykes (1996).

Isostatic Sediment Cover Simple linear model derived from 10 published sediment densities (Crosby et al. 2006) a third-degree polynomial fit between area-corrected global sediment thickness data (Divins, 2003; Whittaker et al., 2013) Sediment loading was calculated using a multicomponent sediment layer with varying sediment densities given in Table 2 in 100m increments of the sediment. The variable sediment densities were calculated from a linear extrapolation of sediment densities in Crosby et al. (2006) For the isostatic correction, in each 100m sediment layer we calculate an adjusted thickness given by where Rhoz is the density of the zth layer, Rhom D3300 kgm􀀀3 and Rhow D 1000 kgm􀀀3. The sediment model has a total of 16 layers in which the basal layer includes all sediment deeper than 1500 m. For a given location we sum Dz to obtain the isostatically adjusted total sediment thickness, which is then added to the depth to basement to obtain the open ocean bathymetry. This loading correction is similar to procedures used by Crough (1983) and Sykes (1996). 1 gm/cm3 = 1000 kg/m3

Approach then & NOW! Simplistic approach Good for initial attempt Not very detailed Not representative of extremely varied global ocean sediment density Sediment Density Sub-model needs to be improved

Similar Studies for Sediment Densities Tenzer & Gladkikh, 2014 20347 DSDP samples with ranging densities between 0.95 – 4.42 gm/cm3 Sediment – Rock interface @ 2.60 gm/cm3 Linear regression model Documented lateral & depth density variation.

Similar Studies for Sediment Densities Skyes, 1996 & Hamilton, 1976 Sediment density calculated using density- depth equations of Hamilton, 1976 Terrigenous, Calcareous, Clay and mix sediment densities Density estimations calculated were compared with 9 ODP and 1 DSDP site data

Similar Studies for Sediment Densities Skyes, 1996 Tmax (Terrigenous) = 2.5 gm/cm3 Cmax(Calcareous) = 1.99 gm/cm3 CLmax(Clay)=2.22 gm/cm3 TCCLmax(Mixed terrigenous-calcareous- clay) = 2.11 gm/cm3

**Used calcareous, pelagic clay and terrigenous Similar Studies for Sediment Densities   This Study Tenzer & Gladkikh, 2014 Skyes, 1996 DSDP Yes 1 Site ODP No 9 Sites IODP Intended No* Water Depth Drilling Depth Sediment Thickness Seawater Density Age of Ocean Crust Continentality No/Yes** CCD Depth Lateral Variability Depth Variability * Used densities derived from seismic interval velocities **Used calcareous, pelagic clay and terrigenous

New Sediment Density Data Density Data Used Deep Sea Drilling Project (DSDP) Leg 1-94 Sites 1-624 Ocean Drilling Project (ODP) Leg 100-210 Sites 625-1277 The Integrated Ocean Drilling Program (IODP) Legs 301-349 (continuing)

Global Distribution of DSDP & ODP Sites

Histograms for All Density Data ODP DSDP DSDP – ODP Combined

Variable: Continentality

Ocean crust age after Müller et al. 1997 & 2008 Age of the Ocean Crust (Ma) Ocean crust age after Müller et al. 1997 & 2008

Sediment Thickness (meters) Divins, 2003 & Whittracker, 2014

Count without Missing Values Basic Statistics of Sediment Data Xx Name Count Count without Missing Values Maximum Minimum Mean Median Mode Std. Deviation Variance DSDP Density Data 25,942 21,614 4.42 0.95 1.77 1.69 1.66 0.39 0.16 ODP Density Data 9,434,616 9,355,216 29.97 -21.12 1.62 1.63 0.47 0.22 DSDP, ODP Combined Density Data 9,460,558 9,376,830 4,328 and 79,400 records have no density data

Density Data Processing…..   This Study Tenzer & Gladkikh, 2014 Skyes, 1996 DSDP Yes 1 Site ODP No 9 Sites IODP Intended No* Water Depth Drilling Depth Sediment Thickness Seawater Density Age of Ocean Crust Continentality No/Yes** CCD Depth Lateral Variability Depth Variability * Used densities derived from seismic interval velocities **Used calcareous, pelagic clay and terrigenous 4,328 and 79,400 records have no density data

Density Data Processing….. With six target variables in the database Filtered the data for ‘Missing Values’ Created correlation matrix Run Principal Component Regression to model Sediment Density with respect to others 4,328 and 79,400 records have no density data

Density Data Processing….. Accepted Eigenvalue greater than 0.95 So PC1, PC2, PC3 were accepted in the regression model They account for ~75% variability in the sediment density data 4,328 and 79,400 records have no density data

Sediment Density Model SedDen = -5.06E-03*D2CoastKm – 7.75E-03*WaterDepth + 1.44E-1*Depth_BSF + 2.36E-02*Age + 1.40E- 02*SedThick SedDen = Sediment density D2CoastKm = Distance to coast WaterDepth = Water depth (from Mean Sea Level) Depth_BSF = Sample depth below sea floor SedThick = Thickness of the sediment layer Age= Age of the ocean crust 4,328 and 79,400 records have no density data

Future Work…. This is the very first run of the data analysis Continue improving the analysis Include the INTENDED variables in the study Implement the module and see how the Modeled Sediment is varying than the simple approach used before. 4,328 and 79,400 records have no density data

Acknowledgement UGR student group: Ali Vinke, Alicia Boyer, Isabel Lopez, Robin Waltz Northwest Missouri State University for support & funding 4,328 and 79,400 records have no density data

References Crosby, A., McKenzie, D., and Sclater, J.: The relationship between depth, age and gravity in the oceans, Geophys. J. Int., 166, 553–573, 2006. Divins, D.: NGDC total sediment thickness of the world’s oceans and marginal seas, NOAA, Boulder, CO, 2003. Goswami A., Hinnov L., Gnanadesikan A., Young T.: Realistic Paleobathymetry of the Cenomanian–Turonian (94 Ma) Boundary Global Ocean, Geosciences, 8(1), 21, 2018. Goswami, A., Olson, P. L., Hinnov, L. A., and Gnanadesikan, A.: OESbathy version 1.0: a method for reconstructing ocean bathymetry with generalized continental shelf-slope-rise structures, Geosci. Model Dev., 8, 2735-2748, https://doi.org/10.5194/gmd-8-2735-2015, 2015. Müller, R. D., Roest, W. R., Royer, J.-Y., Gahagan, L. M., and Sclater, J. G.: Digital isochrons of the world’s ocean floor, J. Geophys. Res., 102, 3211–3214, 1997. Müller, R. D., Sdrolias, M., Gaina, C., and Roest, W. R.: Age, spreading rates, and spreading asymmetry of the world’s ocean crust: Geochem. Geophys. Geosys., 9, 1–19, 2008. Sykes, T. J.: A correction for sediment load upon the ocean floor: Uniform versus varying sediment density estimations – Implications for isostatic correction, Mar. Geol., 133, 35–49, 1996. Tenzer, R. and Gladkikh, V.: Assessment of density variations of marine sediments with ocean and sediment depths, The Scientific World Journal, 2014. Whittaker, J. M., Goncharov, A., Williams, S. E., Müller, R. D., and Leitchenkov, G.: Global sediment thickness data set updated for the Australian-Antarctic Southern Ocean, Geochem. Geophy. Geosys., 14, 3297–3305, 2013. 4,328 and 79,400 records have no density data

Thank You! 4,328 and 79,400 records have no density data