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A Standardized Framework for Reproducible Model Skill Assessment Rich Signell (USGS, Woods Hole, MA) Filipe Fernandes (SECOORA) Kyle Wilcox (Axiom Data Science, Wickford, RI) 14th Conference on Estuarine and Coastal Modeling

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US Integrated Ocean Observing System (IOOS® ) IOOS® Plan defines: • Global Component • Coastal Component  17 Federal Agencies  11 Regional Associations

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IOOS Model Data Interoperability Design ROMS ADCIRC HYCOM SELFE SLOSH NcML NcML NcML NcML Common Data Model OPeNDAP+CF +UGRID|SGRID WCS NetCDF Subset THREDDS Data Server (TDS) Standardized (CF-1.6, UGRID-1.0, SGRID-0.3) Virtual Datasets Nonstandard Model Output Data Files Web Services Matlab Panoply IDV Clients NetCDF -Java Library or Broker WMS ncISO ArcGIS NetCDF4 -Python FVCOM Python ERDDAP NetCDF-Java SOS Geoportal Server GeoNetwork GI-CAT Observed data (buoy, gauge, ADCP, glider) Godiva2 pycsw-CKAN NcML Grid Sgrid Ugrid TimeSeries Profile Trajectory TimeSeriesProfile Nonstandard Data Files Catalog Services CMG Portal Delft3D NcML sudo apt-get docker docker run –d axiom/docker-thredds

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Catalog Search 4

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NCTOOLBOX: test_cf_ugrid3.m

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Skidaway “modena” glider: temperature

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Interoperable Access in Python (Iris)

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Automated model comparison

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2015 Boston Light Swim 2015 Aug 15, 7:00 am start 8 mile swim No wet suit How cold will the water be?

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NECOFS Massbay Forecast

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Reproducible Jupyter Notebook Go to: https://github.com/ioos/notebook_demos/boston_light_swim

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Final Result

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Forecasts Sent to Swimmers

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Run it yourself

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Summary • Standardized framework makes skill assessment easy and powerful • Services are now easy to install and maintain • Skill assessment notebooks are reproducible by others (for free) • More assessment leads to more appropriate use of modeling products • More assessment of models leads to better models