Perspec'ves on Big Data in the Geosciences from a major Australian na'onal data center
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1 Perspec'ves on Big Data in the Geosciences fro a ajor Australian na'onal data center Lesley
2 The Data Tsunai has not yet landed
3 The 43 PB on the Research Data Storage Infrastructure 10 PBytes Our ~43 Petabytes has saved data on 8 nodes that for the ost part, already existed We have not considered new ini'a'ves such as the SKA, Copernicus, Hiawarri etc. We are not using our current data to its fullest resolu'on Source: hfps://
4 ISO/IEC RM-ODP of NCI Collec'ons with EO Data No. Collec0on u39 MODIS Ocean Colour Enterprise Technology Infora0on Alloca0on (TB) Ingested (TB) Capacity IMOS THREDDS NetCDF-CF % AusCover TERN THREDDS NetCDF-CF MODIS L1B IMOS/TERN THREDDS NetCDF-CF AVHRR, VIIRS CSIRO THREDDS NetCDF-CF _4 Soil Moisture CSIRO THREDDS NetCDF-CF % _2 emast data assiila'on TERN THREDDS NetCDF-CF % rr9 emast TERN THREDDS NetCDF-CF % ua6 CMIP5 BoM THREDDS NetCDF-CF % rr5 Observa'on (Hiawarri) BoM THREDDS NetCDF-CF % rs0 Landsat GA GeoServer GeoTIFF % c4 WOFS GA GeoServer GeoTIFF %
5 The bonsai effect: degrading our data
6 Marine exaple of bonsai ed data Source: hfp://
7 Grids of Grids vs Grids of Actual Observa'ons Collec'on Australian Geophysics Data Collec'on Na'onal Grids Gravity Mag Radioetrics Thee Gravity Mag Radioetrics AEM Seisic MT Seisology Survey Survey 1 Survey 2 Survey 3 Survey 4 Survey 5 Survey 6 Survey n Grids Lines Points
8 Resolu'on ipacts on file size: e.g. Magne'cs Version Year Grid cell size Data file size GB GB GB (?) <80 3 TB (Slide courtesy of Murray Richardson )
9 The Data Aggrega'on Proble in Cliate Science Research 6 th assessent th assessent th assessent rd assessent 2001 Slide Courtesy of Andy Pitan COE Cliate Syste Science
10 Nuerical Weather Predic'on Roadap Sydney, NSW (research 1.5k topography) TC 2 x daily 10-day & 3-day forecast 40k Global Model Increasing odel resolu'on for iproved local infora'on x daily 10-day & 3-day forecast 12k Global Model 4 x daily 36-hour forecast 4k City/State Model 4 x daily 3-day forecast 12k Regional Model Future odel ensebles for likelihood of significant weather Model Topography of Sydney, NSW 8 x daily 3-day forecast 5k Regional Model 24 x daily 18h or 36h forecast 1.0k City/State Model C/- Ti Pugh, BoM
11 Mentally Moving off the Desktop for Larger Scale Inversions Susceptibility Model (SI) ~7.56 Million Cells Each cell = 2 x 2 x 0.25 k 450 x 450 x 25 k Density Model (g/c3)
12 Life on Big Interdisciplinary Data Plakors We are oving fro Data My-ning on Desktops Give e the file, the whole file, and nothing but the file and let e process it locally on MY DESKTOP KIT To new, ore coplex Data Mining on centralised data plakors Please enable e in real Ee to discover, access and process only those parts of uleple files and/or databases that I need and let e do it online using YOUR KIT and let e drive it fro y ipad or y SartPhone. But we also need to leave our desktop habits behind including: Constantly reforamng for parecular applicaeons Downsapling the data ETC ETC. THE DATA TSUNAMI HAS NOT YET HIT THE BEACH WE ARE NOT READY
Lesley Wyborn and Ben Evans. nci.org.au. IEEE Big Data in the Geosciences Workshop, Santa Clara 2015. National Computational Infrastructure 2015
Integra(ng Big Geoscience Data into the Petascale Na(onal Environmental Research Interoperability Pla
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