Skip to main content

Python Physical Analysis of Gridded Ocean

Project description

Inter-comparison of model and gridded observations of the ocean is a challenge when they use different grids. Interpolation from one grid to another brings eventual errors that may affect significantly large scale budgets of tracers (heat, salt, freshwater).

The PyPAGO suite of programs offers the possibility to analyze gridded ocean data along physical sections with minimum interpolation. For example, this allows to monitor the circulation across an observed array in various model outputs, whatever their spatial resolution or type of discretization (B- or C- grids). When defining sections that enclose a specific volume, large scale budgets of tracers can be reconstructed and inter-compared among all kinds of gridded ocean data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypago-1.0.1.tar.gz (37.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pypago-1.0.1-py2.py3-none-any.whl (176.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pypago-1.0.1.tar.gz.

File metadata

  • Download URL: pypago-1.0.1.tar.gz
  • Upload date:
  • Size: 37.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.13

File hashes

Hashes for pypago-1.0.1.tar.gz
Algorithm Hash digest
SHA256 3928b29c0b5483f18275067fb4e61ac1201782cce18b89378755be26e3b18954
MD5 b184671b8f3fc08481adbddda4ddfd61
BLAKE2b-256 cc0227d56f951928db8db537cbc58603c23870fdd2a1bb04a34ee51613d49fef

See more details on using hashes here.

File details

Details for the file pypago-1.0.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pypago-1.0.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 176.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.14.2 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.13

File hashes

Hashes for pypago-1.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0326864170f926ee7168c1b4b95110b4890a6d97ac00d749b09b063fea6d88d1
MD5 eb2d61df978077a314cbca6b021122bf
BLAKE2b-256 0a550fbb2306f940b9f710a0e12bedfe36b9f9d019c40670a95428285a119a0e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page