Metadata-Version: 2.1
Name: clima-anom
Version: 0.6.1
Summary: Obtain the climatology and anomalies only for monthly data.
Home-page: https://github.com/mhacarthur/clima-anom
Author: Cesar Arturo Sanchez Pena
Author-email: arturo66cta@gmail.com
License: MIT
Keywords: climatology,anomalies,monthly,correlation,netcdf,closest,MAE,RMSE,BIAS,DiasDoAno,Createnetcdf,remove continent,remove ocean,shapefile remove
Platform: UNKNOWN
Description-Content-Type: text/markdown



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Climatology and Anomalies in Python
=================================================

Overview
--------
This code provides experimental and simples tools for differents operations on climate data, mainly obtaining climatologies and anomalies values, in addition to others operations such as data extraction from continent, ocean or a shapefile.

Pip install
------------
    $pip install clima-anom

Manual installation
------------
clima\_anom works on Python 3 for Linux, Windows or OSX.

    $git clone https://github.com/mhacarthur/clima_anom.git

first clone the package then inside

    $cd clima_anom

and install

    $pip install .

Data
----
The data use for examples is in directory data. For complete data see:

[TRMM 3B42-v7 daily](https://disc.gsfc.nasa.gov/datasets/TRMM_3B42_Daily_7/summary)


Figures
----
Montlhy climatology for rainfall
<div align="center">
  <img src="https://raw.githubusercontent.com/mhacarthur/clima_anom/master/fig/Monthly_Climatology.png" alt="Monthly_Climatology" />
</div>

Sesonal climatology for rainfall
<div align="center">
  <img src="https://raw.githubusercontent.com/mhacarthur/clima_anom/master/fig/Monthly_Seasonal.png" alt="Seasonal Climatology" />
</div>

Remove a specific ocean or continent for rainfall
<div align="center">
  <img src="https://raw.githubusercontent.com/mhacarthur/clima_anom/master/fig/Wind_remove_continent_ocean.png" alt="Wind remove mask" />
</div>

Extract information with a shapefile
<div align="center">
  <img src="https://raw.githubusercontent.com/mhacarthur/clima_anom/master/fig/Extract_shapefile.png" alt="Shapefile" />
</div>


