OGH with updated oxl class and tutorial notebooks

A previous release tag error have been resolved, and OGH has now been updated with an additional class of operations to interact with xarray and landlab. Unit tests have been updated and additional unit tests will be developed. Use-case 7 and 8 notebooks have been developed to introduce ogh_xarray_landlab (OXL), and a number of new netcdf gridded data product data retrieval functions built for different spatial and temporal resolutions.

New class OXL in OGH

A previous release tag error have been resolved, and OGH has now been updated with an additional class of operations to interact with xarray and landlab. Unit tests have been updated and additional unit tests will be developed. Use-case 7 and 8 notebooks have been developed to introduce ogh_xarray_landlab (OXL), and a number of new netcdf gridded data product data retrieval functions built for different spatial and temporal resolutions.

Releasing OGH with landlab dependency from conda-forge

LATEST STABLE RELEASE

The OGH folder nesting has been restructured for unit tests to operate more smoothly. This release contains contains four OGH use-case notebooks. These examples derive a data management file, download target gridded data, apply spatial and temporal computations, and visualize spatial-temporal trends for exploratory data analysis communications. Several of the notebooks use the new renderValueInBoxplot function, which now has input parameters to visualize reference data relative to the boxplots. This release also incorporates Landlab from conda-forge for integrating modeling operations.

Releasing OGH with landlab dependency from conda-forge

The OGH folder nesting has been restructured for unit tests to operate more smoothly. This release contains contains four OGH use-case notebooks. These examples derive a data management file, download target gridded data, apply spatial and temporal computations, and visualize spatial-temporal trends for exploratory data analysis communications. Several of the notebooks use the new renderValueInBoxplot function, which now has input parameters to visualize reference data relative to the boxplots. This release also incorporates Landlab from conda-forge for integrating modeling operations.

OGH use-case 1 through 4 - completed

The OGH folder nesting has been restructured for unit tests to operate more smoothly. This release contains contains four OGH use-case notebooks. These examples derive a data management file, download target gridded data, apply spatial and temporal computations, and visualize spatial-temporal trends for exploratory data analysis communications. Several of the notebooks use the new renderValueInBoxplot function, which now has input parameters to visualize reference data relative to the boxplots.

Incorporate tutorials and post-processing analyses

This release includes a number of tutorials, visualization options, and post-processing analyses. A number of tutorial jupyter notebooks are included within the tutorial subdirectory, which are intended to be applied in numerical order. The remapCatalog function was recently introduced to enable cataloging of pre-existing directories of files into the mapping file -- a HUGE time-saver. Finally, we incorporated Seaborn plots to aid in visual interpretations of the percent exceedance probability, which are now available in cfs (cubic feet per second) or mmday (millimeters per day) formats.

v0.1.6 Alpha

This is the March 2018 release of the Observatory Gridded Hydrometeorology (ogh) package. It contains tools for observing the terrestrial and aquatic surfaces of Earth using gridded data products. This repository is intended for the sharing and distribution of open-source Python based code useful for model and data integration that improves access to large datasets, reduces computational burden, helps earth surface scientists reinvent the wheel less often, and improve tool sharing and communicate about how to synthesize earth surface observations in useful ways.

Features

• Import geographic areas of interest and available data locations from HydroShare
• Download gridded meteorology time series data products developed from observations and atmospheric models
• Generate data files of daily, monthly, and annual statistics
• NEW Mapping functions to show spatial distribution of gridded values
• NEW Catalog prints available data
• Package and export data to the CUAHSI JupyterHub environment

v0.1.5 Alpha

This is the first release of the Observatory Gridded Hydrometeorology (ogh) package. It contains tools for observing the terrestrial and aquatic surfaces of Earth using gridded data products. This repository is intended for the sharing and distribution of open-source Python based code useful for model and data integration that improves access to large datasets, reduces computational burden, helps earth surface scientists reinvent the wheel less often, and improve tool sharing and communicate about how to synthesize earth surface observations in useful ways.

Features

• Import geographic areas of interest and available data locations from HydroShare
• Download gridded meteorology time series data products developed from observations and atmospheric models
• Generate data files of daily, monthly, and annual statistics
• Package and export data generated and downloaded through this workflow