Arctic Subpolar gyre sTate Estimate (ASTE)
Nguyen, An T., Ocaña, V., Pillar, H., Bigdeli, A., Smith, T. A., & Heimbach, P. (2021). The Arctic Subpolar gyre sTate Estimate: a data-constrained and dynamically consistent ocean-sea ice estimate for 2002–2017. Submitted to Journal of Advances in Modeling Earth Systems.
Analyzing ASTE Output
Python Users
Click on the Binder button above to see how to access ASTE Release 1 output, using xmitgcm to create an xarray Dataset on the fly with dask. Calculations and visualizations are enabled by xgcm and ecco_v4_py.
MATLAB Users
Please see this web portal to download the output. Note that the output is distributed differently for matlab and python. The python demo above shows the horizontal ASTE grid as made up of 6 "tiles", where each tile is 270x270 grid points. The netcdf files listed below are split such that each file contains a single 90x90 tile, and 29 tiles make up the whole grid, see e.g. here. These 29 tiles are distributed across 5 "faces" which will be familiar to anyone who is familiar with the gcmfaces package for the LLC90 grid, see e.g. here.
- Release1/nctiles_monthly: ASTE Release 1 monthly mean fields output as tiled NetCDF files
- Release1/nctiles_monthly_snapshots: ASTE Release 1 snapshots of monthly fields output as tiled NetCDF files
- Release1/nctiles_climatology: ASTE Release 1 climatology fields output as tiled NetCDF files
- Release1/nctiles_grid: ASTE Release 1 grid fields as tiled NetCDF files
- matlab_tools: MATLAB files for reading the tiled NetCDF files