https://github.com/ncpp/ocgis

OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.
https://github.com/ncpp/ocgis

climate climate-datasets gdal-python gis grid mpi mpi4py netcdf shapefiles thredds

Last synced: about 2 months ago
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OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.

• Host: GitHub
• URL: https://github.com/ncpp/ocgis
• Owner: NCPP
• License: other
• Created: 2012-10-12T20:23:13.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2023-03-18T03:37:41.000Z (about 3 years ago)
• Last Synced: 2026-02-24T23:38:53.571Z (2 months ago)
• Topics: climate, climate-datasets, gdal-python, gis, grid, mpi, mpi4py, netcdf, shapefiles, thredds
• Language: Python
• Homepage:
• Size: 12 MB
• Stars: 73
• Watchers: 10
• Forks: 20
• Open Issues: 57
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
[![Build Status](https://travis-ci.org/NCPP/ocgis.svg?branch=master)](https://travis-ci.org/NCPP/ocgis)

For documentation: https://ocgis.readthedocs.io/en/latest/

For additional project information: http://www.earthsystemcog.org/projects/openclimategis/

For questions or to file a bug report, please create a GitHub issue.

# Overview

OpenClimateGIS (OCGIS) is a Python package designed for geospatial manipulation, subsetting, computation, and translation of spatiotemporal datasets stored in local NetCDF files or files served through THREDDS data servers. OpenClimateGIS has a straightforward, request-based API that is simple to use yet complex enough to perform a variety of computational tasks. The software is built entirely from open source packages.

OpenClimateGIS supports many file formats and NetCDF metadata conventions:

* Climate & Forecast (CF) Grid

* Unstructured Grid (UGRID)

* SCRIP

* ESMF Unstructured

* GDAL-supported vector formats (ESRI Shapefiles, File Geodatabases, GeoPackage, GeoJSON, etc.)

* Comma-Separated Value (CSV)

# GIS Capabilities

* Subsetting (intersects and intersection) of climate datasets by bounding box, Shapely geometries, or shapefiles (city centroid, river reach, a single county or watershed, state boundaries).

* Time and level range subsetting. Also allows for arbitrary label-based slicing.

* Single or multi-dataset requests (concatenation).

* Area-weighted aggregation (spatial averaging) to selection geometries.

* Handles CF-based coordinate systems with full support for coordinate transformations (including the rotated pole coordinate system)

* Geometry wrapping and unwrapping to maintain logically consistent longitudinal domains.

* Polygon, line, and point geometric abstractions.

* ESMPy regridding

# Data Conversion

* Access to local NetCDF data or data hosted remotely on a THREDDS (OPeNDAP protocol) data server. Only the piece of data selected by an area-of-interest is transferred from the remote server.

* Stream climate data to multiple formats.

* Extensible converter framework to add custom formats.

* Automatic generation of request metadata.

* Push data to a familiar format to perform analysis or keep the data as NumPy arrays, perform analysis, and dump to a supported format.

# Computation

* Extensible computational framework for arbitrary inclusion of NumPy-based calculations.

* Apply computations to entire data arrays or temporal groups.

* Computed data may be streamed to any supported formats.