Geographic Information Systems Tools for Collecting and Accessing Arctic Bathymetry: International Bathymetric Chart of the Arctic Ocean

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University of New Hampshire University of New Hampshire Scholars' Repository Center for Coastal and Ocean Mapping Center for Coastal and Ocean Mapping 1-22-2001 Geographic Information Systems Tools for Collecting and Accessing Arctic Bathymetry: International Bathymetric Chart of the Arctic Ocean Martin Jakobsson University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/ccom Part of the Oceanography and Atmospheric Sciences and Meteorology Commons Recommended Citation Jakobsson, Martin, "Geographic Information Systems Tools for Collecting and Accessing Arctic Bathymetry: International Bathymetric Chart of the Arctic Ocean" (2001). Arctic Geographic Information Systems (AGIS). 135. https://scholars.unh.edu/ccom/135 This Conference Proceeding is brought to you for free and open access by the Center for Coastal and Ocean Mapping at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Center for Coastal and Ocean Mapping by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact nicole.hentz@unh.edu.

Geographic Information Systems Tools for Collecting and Accessing Arctic Bathymetry: International Bathymetric Chart of the Arctic Ocean This conference proceeding is available at University of New Hampshire Scholars' Repository: https://scholars.unh.edu/ccom/135

GIS Tools for Accessing Arctic Bathymetry: International Bathymetric Chart of the Arctic Ocean (IBCAO) Martin Jakobsson Center for Coastal and Ocean Mapping Joint Hydrographic Center University of New Hampshire

1. The IBCAO bathymetry model 2. Users of IBCAO 3. GIS tools for accessing the IBCAO grid model 4. Future IBCAO GIS products (Error estimation of the IBCAO bathymetry, vector contours)

IBCAO Grid model representing Arctic Ocean bathymetry and topography Grid cell spacing: 2.5 x 2.5 km Projection: Polar stereographic True scale: 75º N Datum: WGS 84

TRACKLINE SOURCES

MAP SOURCES

SOURCES

Data gathering (MGE) GRID COMPILATION Block median filtering Data cleaning & mining (MGE) Gridding using continuous curvature splines in tension (Smith & Wessel, 1990)

IBCAO web site: http://www.ngdc.noaa.gov/mgg/bathymetry/arctic/arctic.html

USERS OF THE IBCAO BATHYMETRY GRID Oceanography modeling (e.g. Arctic ice-ocean model for the Polar Ice prediction System (PIPS), US Naval Postgraduate School; ARCICE, Southampton Oceanography Centre, UK) Geophysical modeling Ice sheet modeling Cartographic applications IBCAO web site news: February, 26 652 accesses and 99297 hits 6000 5000 4000 3000 2000 1000 IBCAO web site statistics 2000 1800 1600 1400 1200 1000 800 600 400 200 0 0 8-Mar 22-Mar 5-Apr 19-Apr 3-May 17-May 31-May 7-Jun 28-Jun 12-Jul 26-Jul 9-Aug 23-Aug 6-Sep 20-Sep 4-Oct 18-Oct 1-Nov

GIS Tools for accessing the IBCAO model ESRI: ArcView, ArcInfo (Spatial Analyst, Arc Grid) Intergraph: MGE (Terrain Analyst) Geomedia (MFworks from ThinkSpace Inc.) Clarks Labs: Idrisi32 Caris: HIPS

Geophysical and Mapping softwares IVS: Fledermaus Public domain: Generic Mapping Tools Web GIS tools Intergraph: Geomedia Web Map ESRI: ArcIMS3

THE NESSECITY FOR AN ERROR ESTIMATION Regional grid models representing bathymetry/topography are often used as a base for oceanographic/climate/geophysical/ice sheet modeling The modeling results are often interpreted without knowledge of the spatial differences in reliability of the underlying bathymetry/topography model The idea is to create a grid with the same structure as the bathymetry/topography grid containing an estimate of the standard deviation of the errors of the bathymetry/topography

USING THE MONTE CARLO METHOD FOR ERROR ESTIMATION 1. 2. Randomly vary the source data within constraints determined by meta data (navigation, echo sounder etc) Go through the process with which the bathymetry grid is compiled (block median filtering + continuous curvature splines in tension) This processes are continued until

STATISTICS σ Run 1... Run n

Standard deviation of estimated error (% of block median depth)

IBCAO contours in Geomedia