List of public AWS resources for GEOS-ChemΒΆ

Currently all resources are in us-east-1 (N. Virginia).

Latest resources:

Resource

ID/name

Size

Content

Standard tutorial AMI

ami-0491da4eeba0fe986

200 GB

  1. Ubuntu 20.04 (Focal Fossa)

  2. gfortran 10.2.0, netCDF-Fortran 4.5.3 netCDF-C 4.8.0 (built through Spack)

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 13.1.2

  5. Minimum GEOS-Chem input data (use a dry-run to get more data)

Container tutorial AMI

ami-040f96ea8f5a0973e

200 GB

  1. Amazon Linux 2 AMI

  2. Docker 18.06.1-ce, Singularity 3.0.1, CharlieCloud 0.9.7

  3. Minimum GEOS-Chem input data

S3 bucket for
all GC data

s3://gcgrid (requester-pay)

~30 TB

All current GEOS-Chem input data

Old resources (for record):

Resource

ID/name

Size

Content

12.7.0 tutorial AMI

ami-03de1c3610e0e77a2

200 GB

  1. Ubuntu 18.04 (Bionic Beaver)

  2. gfortran 7.3.0, netCDF-Fortran 4.4.4

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 12.7.0

  5. Minimum GEOS-Chem input data

12.9.3 tutorial AMI

ami-04751feef8546fdfe

200 GB

  1. Ubuntu 18.04 (Bionic Beaver)

  2. gfortran 8.2.0, netCDF-Fortran 4.5.2

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 12.9.3

  5. Minimum GEOS-Chem input data (use dry-run to get more data)

13.0.0-rc.0 tutorial AMI

ami-0908204b481f1aac2

200 GB

  1. Ubuntu 18.04 (Bionic Beaver)

  2. gfortran 8.2.0, netCDF-Fortran 4.5.2

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 13.0.0rc

  5. Minimum GEOS-Chem input data (use a dry-run to get more data)

13.0.0 tutorial AMI

ami-0ef2c8a2d3464485c

200 GB

  1. Ubuntu 18.04 (Bionic Beaver)

  2. gfortran 8.2.0, netCDF-Fortran 4.5.2

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 13.0.0

  5. Minimum GEOS-Chem input data (use a dry-run to get more data)

13.1.0 tutorial AMI

ami-0ec4dce44bcb05b69

200 GB

  1. Ubuntu 20.04 (Focal Fossa)

  2. gfortran 10.2.0, netCDF-Fortran 4.5.3 netCDF-C 4.8.0 (built through Spack)

  3. Geoscientific Python environment

  4. Pre-compiled GC-classic 13.1.0

  5. Minimum GEOS-Chem input data (use a dry-run to get more data)

| | | (use a dry-run to get more data) |