cmor 2.9.1-6.1build1 source package in Ubuntu
Changelog
cmor (2.9.1-6.1build1) xenial; urgency=medium * No-change rebuild for netcdf transition. -- Matthias Klose <email address hidden> Thu, 28 Jan 2016 22:06:55 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- Alastair McKinstry
- Architectures:
- any
- Section:
- utils
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | universe | utils |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| cmor_2.9.1.orig.tar.xz | 2.4 MiB | 26e695e0f7f379e2cfdbfe953027f95c6d1485af620abb9c4a7ef6b4b02d71b2 |
| cmor_2.9.1-6.1build1.debian.tar.xz | 31.3 KiB | b2417012d47b47a3642d01ef6e107e42a6982f14947dcd75b94498389b4e54c7 |
| cmor_2.9.1-6.1build1.dsc | 2.1 KiB | 49687c90e68051a65dde0c92e8a025f7a0b896a7533bd6997bb7b3e37a1a253e |
Available diffs
Binary packages built by this source
- libcmor-dev: No summary available for libcmor-dev in ubuntu yakkety.
No description available for libcmor-dev in ubuntu yakkety.
- libcmor2: Climate Model Output Rewriter library
The "Climate Model Output Rewriter" (CMOR, pronounced "Seymour")
comprises a set of C-based functions, with bindings to both Python
and FORTRAN 90, that can be used to produce CF-compliant netCDF files
that fulfill the requirements of many of the climate community's
standard model experiments. These experiments are collectively
referred to as MIP's and include, for example, AMIP, CMIP, CFMIP,
PMIP, APE, and IPCC scenario runs. The output resulting from CMOR
is "self-describing" and facilitates analysis of results across models.
- libcmor2-dbgsym: debug symbols for package libcmor2
The "Climate Model Output Rewriter" (CMOR, pronounced "Seymour")
comprises a set of C-based functions, with bindings to both Python
and FORTRAN 90, that can be used to produce CF-compliant netCDF files
that fulfill the requirements of many of the climate community's
standard model experiments. These experiments are collectively
referred to as MIP's and include, for example, AMIP, CMIP, CFMIP,
PMIP, APE, and IPCC scenario runs. The output resulting from CMOR
is "self-describing" and facilitates analysis of results across models.
- python-cmor: No summary available for python-cmor in ubuntu yakkety.
No description available for python-cmor in ubuntu yakkety.
