https://github.com/kenzaxtazi/load

Code for importing and compatibly formatting data from various sources used during my PhD.
https://github.com/kenzaxtazi/load

aphrodite atmospheric-indices cmip5 cordex cru era5 gauge-measurements precipitation srtm value wrf

Last synced: 2 days ago
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Code for importing and compatibly formatting data from various sources used during my PhD.

• Host: GitHub
• URL: https://github.com/kenzaxtazi/load
• Owner: kenzaxtazi
• License: mit
• Created: 2022-04-22T19:34:20.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-28T15:25:40.000Z (3 months ago)
• Last Synced: 2024-08-28T16:43:52.577Z (3 months ago)
• Topics: aphrodite, atmospheric-indices, cmip5, cordex, cru, era5, gauge-measurements, precipitation, srtm, value, wrf
• Language: Python
• Homepage:
• Size: 357 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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# load

Python library for importing and compatibly formatting data from various sources used during my PhD.

## Description

Datasets should all have the same format so they can be easily used together.

In particular, they should be exported from the submodule:

- as a xarray Dataset or pandas Dataframe

- with 'lon' as the longitude variable name in °E (float)

- with 'lat' as the latitude variable name in °N (float)

- with 'time' for time variable name as datetimes. For datasets with monthly resolution, the date should be set to the begining of the month

- with 'tp' for the variable name for total precipitation in mm/day (float)

## Installation

After cloning this repository and navigating to its install directory, the dependencies can be installed with anaconda: `conda env create -f environment.yml` This will create a new anaconda environment 'load'. After activating the environment: `conda activate load`.

Add your data and code directories to the `__init__.py` file.