https://github.com/climateglobalchange/tempestremap

TempestRemap: Remapping software for climate applications

https://github.com/climateglobalchange/tempestremap

Science Score: 36.0%

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    Found 2 DOI reference(s) in README
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    8 of 17 committers (47.1%) from academic institutions
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    Low similarity (9.7%) to scientific vocabulary

Keywords from Contributors

hpsf build-tools radiuss spack mpi climate
Last synced: 10 months ago · JSON representation

Repository

TempestRemap: Remapping software for climate applications

Basic Info
  • Host: GitHub
  • Owner: ClimateGlobalChange
  • License: other
  • Language: C++
  • Default Branch: master
  • Homepage:
  • Size: 2.18 MB
Statistics
  • Stars: 45
  • Watchers: 10
  • Forks: 31
  • Open Issues: 14
  • Releases: 15
Created over 12 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

TempestRemap

Author: Paul Ullrich Email: paullrich@ucdavis.edu

Overview

TempestRemap is a conservative, consistent and monotone remapping package for arbitrary grid geometry with support for finite volumes and finite elements. There is still quite a bit of work to be done, but any feedback is appreciated on the software in its current form.

If you choose to use this software in your work, please cite our papers:

Paul A. Ullrich and Mark A. Taylor, 2015: Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps: Part 1. Mon. Wea. Rev., 143, 2419–2440, doi: 10.1175/MWR-D-14-00343.1

Paul A. Ullrich, Darshi Devendran and Hans Johansen, 2016: Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps, Part 2. Mon. Weather Rev., 144, 1529-1549, doi: 10.1175/MWR-D-15-0301.1.

Install with conda Platforms

Prebuilt Conda and Julia Packages

Prebuilt binary packages for x64 Linux and MacOS are provided through conda-forge for conda projects and as a Julia JLL package.

For Conda:

 > conda install -c conda-forge tempest-remap 
 > GenerateCSMesh --res 6 --file cubedsphere_6.netcdf --out_format NetCDF4
 Parameters:
   --res <integer> [6] 
   --file <string> ["cubedsphere_6.netcdf"] 
   --out_format <string> ["Netcdf4"] 
   --alt <bool> [false] 
 =========================================================
 ..Generating mesh with resolution [6]
 ..Writing mesh to file [cubedsphere_6.netcdf] 
 Nodes per element
 ..Block 1 (4 nodes): 216
 ..Mesh generator exited successfully
 =========================================================

For Julia (v1.7+):

julia> using Pkg; Pkg.add("TempestRemap_jll")
julia> using TempestRemap_jll

julia> run(`$(TempestRemap_jll.GenerateCSMesh_exe()) --res 6 --file cubedsphere_6.netcdf  --out_format Netcdf4`);
Parameters:
  --res <integer> [6] 
  --file <string> ["cubedsphere_6.netcdf"] 
  --out_format <string> ["Netcdf4"] 
  --alt <bool> [false] 
=========================================================
..Generating mesh with resolution [6]
..Writing mesh to file [cubedsphere_6.netcdf] 
Nodes per element
..Block 1 (4 nodes): 216
..Mesh generator exited successfully
=========================================================

Build Instructions with Autotools

TempestRemap now supports a robust autotools-based configuration/build system. Building with the standard autotools toolchain simplifies the process of linking for downstream packages like MOAB, and in conda feedstock. The builds produce both linkable TempestRemap libraries and several specialized tools (or drivers) that can be installed in user-specified installation directories.

Please follow the build instructions below:

  1. cd $TEMPESTREMAP_SRCDIR && autoreconf -fi
  2. mkdir -p build && cd build
  3. Configure TempestRemap: ../configure --prefix=$INSTALL_DIR \ # Install dir for TempestRemap libraries --with-blas=$BLAS_LIB \ # Path to BLAS libraries --with-lapack=$LAPACK_LIB \ # Path to LAPACK libraries --with-netcdf=$NETCDF_DIR \ # With NetCDF-C interfaces --with-hdf5=$HDF5_DIR # If NetCDF was build with HDF5
  4. Build TempestRemap: make all
  5. Install TempestRemap: make install

Additionally, users can provide the appropriate compilers with the environmental flags (CC, CXX, FC, F77, etc.) and control the compilation/link flags (CXXFLAGS, CPPFLAGS, LDFLAGS, LIBS) as necessary.

Build Instructions with make

The software can be obtained from the GITHub repository via git: git clone https://github.com/paullric/tempestgecore.git You will likely need to edit the first couple lines of the Makefile to customize the NetCDF paths and change any compiler flags. Once you have modified the Makefile, build the code: make -f Makefile.gmake all To clean out the object file and return the sources to pristine condition, you can execute the following: make -f Makefile.gmake clean

Mesh Generation

The remapping process requires multiple stages. First you will need an Exodus file (file extension .g) for your input mesh and your output mesh. This can either be done via the SQuadGen mesh utility, or via the three GenerateMesh executables that come with TempestRemap.

For a cubed-sphere mesh: ./GenerateCSMesh --res <Resolution> --alt --file <Output mesh filename>.g For a latitude-longitude mesh: ./GenerateRLLMesh --lon <longitudes> --lat <latitudes> --file <Output mesh filename>.g For a geodesic mesh: ./GenerateICOMesh --res <Resolution> --dual --file <Output mesh filename>.g Once your input and output meshes are generated, you will need to generate the overlap mesh (that is, the mesh obtained by placing the input and output mesh overtop one another and recalculating intersections). This can be done as follows: ./GenerateOverlapMesh --a <Input mesh>.g --b <Output mesh>.g --out <Overlap mesh>.g

Offline Map Generation

Once the overlap mesh is generated, you can now generate the weight file, which the contains information on remapping from one mesh to the other. The type of offline map desired is specified by --in_type and --out_type, which can be one of the following:

fv - Finite volume mesh, with degrees of freedom stored as volume averages cgll - Continuous finite element method (such as spectral element) dgll - Discontinuous finite element method (such as discontinuous Galerkin)

Offline map generation is then performed as follows:

For finite volume to finite volume remapping: ./GenerateOfflineMap --in_mesh <Input mesh>.g --out_mesh <Output mesh>.g \ --ov_mesh <Overlap mesh>.g --in_np <Remapping Order> \ --out_map <Output map>.nc Monotone remapping in this case can be achieved with --in_np 1.

For finite element to finite volume remapping: ./GenerateOfflineMap --in_mesh <Input mesh>.g --out_mesh <Output mesh>.g \ --ov_mesh <Overlap mesh>.g --in_type [cgll|dgll] \ --out_type fv --in_np <Input order> --out_map <Output map>.nc Monotone remapping in this case can be achieved with argument --mono.

For finite volume to finite element remapping: ./GenerateOfflineMap --in_mesh <Input mesh>.g --out_mesh <Output mesh>.g \ --ov_mesh <Overlap mesh>.g --in_type fv --out_type [cgll|dgll] \ --in_np <Input order> --out_np <Output order> --out_map <Output map>.nc Monotone remapping in this case requires --mono and --in_np 1.

For finite element to finite element remapping: ./GenerateOfflineMap --in_mesh <Input mesh>.g --out_mesh <Output mesh>.g \ --ov_mesh <Overlap mesh>.g --in_type [cgll|dgll] \ --out_type [cgll|dgll] --in_np <Input order> \ --out_np <Output order> --out_map <Output map>.nc Monotone remapping in this case requires --in_np 1 and --out_np 1.

In each case, the linear weights file will then be written to <Output map>.nc in SCRIP format (although it’s a bare-bones version of SCRIP format at the moment and I’m not sure it’ll work with SCRIP utilities). Now that the map is generated you can apply it to your data files:

Offline Map Application

The offline map can be applied using the ApplyOfflineMap utility: ./ApplyOfflineMap --map <Output map>.nc --var <Comma-separated list of variables> \ --in_data <Input data>.nc --out_data <Output data>.nc The remapped fields should then appear in <Output data>.nc. Note that if your output mesh is rectilinear, such as a latitude-longitude mesh, the data will automatically be arranged with horizontal spatial dimensions lat and lon.

Summary

Please let me know if you have any problems / bugs / comments / feature requests.

Owner

  • Name: ClimateGlobalChange
  • Login: ClimateGlobalChange
  • Kind: organization

GitHub Events

Total
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 5
  • Fork event: 3
Last Year
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 5
  • Fork event: 3

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 413
  • Total Committers: 17
  • Avg Commits per committer: 24.294
  • Development Distribution Score (DDS): 0.4
Past Year
  • Commits: 14
  • Committers: 5
  • Avg Commits per committer: 2.8
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
Paul Ullrich p****h@u****u 248
Vijay Mahadevan v****m@g****m 86
Rajeev Jain r****a@g****m 37
Mark Taylor mt@m****g 8
David M. Hall d****l@c****u 6
Iulian Grindeanu i****n@m****v 5
Rajeev Jain j****n@h****v 4
Walter Hannah h****6@l****v 4
David Marsico 6****1@u****m 3
Matthew Thompson f****n@g****m 2
Vijay Mahadevan v****m@m****v 2
iulian787 i****7@u****m 2
Simon Byrne s****e@g****m 2
Jake Bolewski j****i@g****m 1
Jason Sarich s****h@m****v 1
Andrew M. Bradley a****l@s****v 1
Paul Ullrich u****h@c****u 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 34
  • Total pull requests: 73
  • Average time to close issues: 11 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 17
  • Total pull request authors: 15
  • Average comments per issue: 2.79
  • Average comments per pull request: 1.56
  • Merged pull requests: 62
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 44 minutes
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mt5555 (7)
  • zarzycki (4)
  • iulian787 (3)
  • czender (3)
  • taobrienlbl (2)
  • xylar (2)
  • paullric (2)
  • simonbyrne (2)
  • brhillman (2)
  • brianpm (1)
  • mmundt (1)
  • lvankampenhout (1)
  • hmb1 (1)
  • rljacob (1)
  • jhkennedy (1)
Pull Request Authors
  • vijaysm (33)
  • dmarsico1 (10)
  • paullric (10)
  • rajeeja (5)
  • iulian787 (4)
  • mt5555 (2)
  • simonbyrne (2)
  • halldm2000 (1)
  • mathomp4 (1)
  • mmundt (1)
  • sarich (1)
  • jakebolewski (1)
  • hongyuchen1030 (1)
  • oksanaguba (1)
  • whannah1 (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads: unknown
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 4
    (may contain duplicates)
  • Total versions: 25
  • Total maintainers: 5
spack.io: tempestremap

TempestRemap is a conservative, consistent and monotone remapping package for arbitrary grid geometry with support for finite volumes and finite elements. There is still quite a bit of work to be done, but any feedback is appreciated on the software in its current form

  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 0.0%
Forks count: 19.6%
Stargazers count: 23.7%
Average: 25.2%
Dependent packages count: 57.3%
Last synced: 11 months ago
conda-forge.org: tempest-remap

TempestRemap is a conservative, consistent and monotone remapping package for arbitrary grid geometry with support for finite volumes and finite elements. There is still quite a bit of work to be done, but any feedback is appreciated on the software in its current form. If you choose to use this software in your work, please cite our papers: Paul A. Ullrich and Mark A. Taylor, 2015: Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps: Part 1. Mon. Wea. Rev., 143, 2419–2440, doi: 10.1175/MWR-D-14-00343.1 Paul A. Ullrich, Darshi Devendran and Hans Johansen, 2016: Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps, Part 2. Mon. Weather Rev., 144, 1529-1549, doi: 10.1175/MWR-D-15-0301.1.

  • Versions: 11
  • Dependent Packages: 1
  • Dependent Repositories: 4
Rankings
Dependent repos count: 16.1%
Dependent packages count: 29.0%
Average: 31.0%
Forks count: 33.7%
Stargazers count: 45.4%
Last synced: 11 months ago

Dependencies

.github/workflows/conda_ubuntu_osx.yml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/linux.yml actions
  • actions/checkout v2 composite