A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Recent Releases of SNAP

SNAP - v2.5.0

What's Changed

New Contributors

Full Changelog: https://github.com/metno/snap/compare/v2.4.9...v2.5.0

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein 2 months ago

SNAP - Dry deposition

This version of SNAP contains experimental implementations of dry deposition for examining the uncertainty in the parametrisation

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by magnusuMET over 1 year ago

SNAP - Long range fallout

SNAP is now able to better calculate the long-range fallout of nuclear bombs including decay-rate of fallout. SNAP uses now also all layers of the input-meteorology and the output can be set by defining the surface-layer height explicitly (defaut: lowest layer). It is also possible now to run the model with higher output-resolution that the meteorological driver using the config option: https://gitlab.met.no/emep/snap-docs/-/wikis/RCRON#ci-failed . The model comes now also with a tool to identify the mass-balance within the model, i.e. radioactivity leaving the domain vs deposition etc.

This version is also the first version which requires python >= 3.9 (before: >= 3.6) for all job-control and GUI and visualisation-scripts.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein almost 2 years ago

SNAP - v2.1.2

Full Changelog: https://github.com/metno/snap/compare/v2.1.1...v2.1.2

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein over 2 years ago

SNAP - ERA5, polar-stereographic, long time-series

This version of SNAP was developed for running a 15-year database of netcdf input data originally retrieved from the ECMWF ERA5 database. The data was converted to polar-stereographic grid to cover the north-pole. In particular one bug from an int16 overflow during long time-series was fixed for this release.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein almost 4 years ago

SNAP - Grid interpolation and spinup-time

This release focused on better usage of the driving meteorological input data. By using the grid-interpolation routines of the fimex library, SNAP can now be run in a horizontal grid different from the meteorological driver. The grid-projections which are automatically recognized include now also polar stereographic as well as rotated latitude-longitude grids. In addition is it now possible to specify the spinup time for the preferred best meteorological dataset.

Smaller changes in this release include addition of particle split to improve statistics of long-distance model runs. A timer was added to the log-files to better compare run times. Some memory leaks have been found and removed and the legacy and no longer maintained milib integration has been removed.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein about 4 years ago

SNAP - Fortran90 and Fimex integration completed, testing framework

This release marks the completion of the Fortran90 rewrite and the full integration of Fimex as I/O library for meteorological data allowing much easier integration of new meteorological data-sources. With a new testing-framework, future release will be more stable.

With this relese, SNAP was also tested to work with the DWD/Icon NWP data as meteorological driver.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein almost 5 years ago

SNAP - Meteorology in grib or ncml

Release v1.5.0 enables users to read grib-files or ncml-files in SNAP directly using the fimex IO-library.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein about 5 years ago

SNAP - Open Source version of SNAP

SNAP has been open-sourced in November. This release mainly marks the open-sourcing and bumps the version number to v1.4.0.

Atmosphere - Atmospheric Dispersion and Transport - Fortran
Published by heikoklein over 7 years ago