Metadata-Version: 1.1
Name: macaetr
Version: 0.0.3
Summary: Download MACA downscaled data, calculate ASCE ETrz
Home-page: https://github.com/WSWUP/MACA-ETr
Author: John Volk
Author-email: john.volk@dri.edu
License: Apache
Description: MACA-ETr
        ========
        
        Download `MACA <https://climate.northwestknowledge.net/MACA/index.php>`__ (Multivariate Adaptive Constructed Analogs) downscaled climate data and estimate ASCE standardized reference evapotranspiration.
        
        Given a point location ``MACA-ETr`` simplifies the process of downloading downscaled climate variables from the MACA dataset via a simple Python API. Data that can be retrieved (and used to calculate reference ET) includes global climate models from the Coupled Model Inter-Comparison Project 5 (20 models) whose output is downscaled using the MACA methodologies. The MACA downscaling model is trained from both the Livneh et al. 2014 dataset and the gridMET dataset, output from both can be downloaded using the ``MACA-ETr`` package. The historical (1950-2005) and future predictions (rcp4.5 and rcp8.5 emissions trajectories from 2006-2099) datasets are included in MACA. The ``MACA-ETr`` package can also be used to calculate ASCE short and tall reference ET time series using data downloaded from MACA at a given location within the conterminous United States.  
        
        Documentation 
        -------------
        
        Under development
        
        Installation
        ------------
        
        You may install the dependencies using the conda virtual environment (recommended), the environment file can be downloaded `here <https://raw.githubusercontent.com/WSWUP/MACA-ETr/master/environment.yml>`__ and installed and activated by
        
        .. code-block:: bash
        
           conda env create -f environment.yml
           conda activate macaetr
        
        Once activated install with PIP:
        
        .. code-block:: bash
        
           pip install macaetr
        
        
        
Platform: Windows
Platform: Linux
Platform: Mac OS X
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.7
Classifier: Environment :: Console
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
