- recipe esme
Earth System Modelling Environment (ESME) - A bundle for scientific computing packages for climate modelling with MPI support.
- Homepage:
- License:
BSD / BSD-3-Clause
- Recipe:
ESME (Earth System Modelling Environment) is a package designed to facilitate the installation and management of various scientific computing libraries with support for multiple MPI implementations (namely MPIch, OpenMPI, MVAPIch and ParaStationMPI). This bundle currently includes: - PnetCDF: Version 1.14.0 - HDF5: Version 1.14.5 - netCDF_C: Version 4.9.2 - netCDF_Fortran: Version 4.6.1 - ParallelIO: Version 2.6.2 - ESMF: Version 8.8.0 - OSU_Micro_Benchmarks: Version 7.5
- package esme__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme__ and update with:: mamba update esme__
To create a new environment, run:
mamba create --name myenvname esme__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme__:<tag> (see `esme__/tags`_ for valid values for ``<tag>``)
- package esme_esmf__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_esmf__ and update with:: mamba update esme_esmf__
To create a new environment, run:
mamba create --name myenvname esme_esmf__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_esmf__:<tag> (see `esme_esmf__/tags`_ for valid values for ``<tag>``)
- package esme_hdf5__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_hdf5__ and update with:: mamba update esme_hdf5__
To create a new environment, run:
mamba create --name myenvname esme_hdf5__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_hdf5__:<tag> (see `esme_hdf5__/tags`_ for valid values for ``<tag>``)
- package esme_netcdf-c__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_netcdf-c__ and update with:: mamba update esme_netcdf-c__
To create a new environment, run:
mamba create --name myenvname esme_netcdf-c__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_netcdf-c__:<tag> (see `esme_netcdf-c__/tags`_ for valid values for ``<tag>``)
- package esme_netcdf-fortran__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_netcdf-fortran__ and update with:: mamba update esme_netcdf-fortran__
To create a new environment, run:
mamba create --name myenvname esme_netcdf-fortran__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_netcdf-fortran__:<tag> (see `esme_netcdf-fortran__/tags`_ for valid values for ``<tag>``)
- package esme_omb__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_omb__ and update with:: mamba update esme_omb__
To create a new environment, run:
mamba create --name myenvname esme_omb__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_omb__:<tag> (see `esme_omb__/tags`_ for valid values for ``<tag>``)
- package esme_pio__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_pio__ and update with:: mamba update esme_pio__
To create a new environment, run:
mamba create --name myenvname esme_pio__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_pio__:<tag> (see `esme_pio__/tags`_ for valid values for ``<tag>``)
- package esme_pnetcdf__¶
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install esme_pnetcdf__ and update with:: mamba update esme_pnetcdf__
To create a new environment, run:
mamba create --name myenvname esme_pnetcdf__
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/esme_pnetcdf__:<tag> (see `esme_pnetcdf__/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/esme__/README.html)