clima-anom 0.5.7

Obtain the climatology and anomalies only for monthly data.

clima-anom - Climatology and Anomalies in Python

Overview

This code provides tools for the aid of different operations on monthly climate data, mainly obtaining climatologie and anomalies information, in addition to other operations such as data extraction from a shapefile.

Requirements

How to install requirements with pip

$pip install -r requirements.txt

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 .

Content

List of funtions

help_funtion
read_netcdf
clima_anom
climatology
anomalies
season
correlation
closest_point
MAE
RMSE
BIAS
create_netcdf
remove_continent_ocean
extract_shapefile

Help

For obtain a list of funtions:

import clima_anom as ca
ca.help_funtion()

Help for specific funtion:

ca.help_funtion('read_netcdf')

Data

The data use for examples correspond to NCEP/NCAR Reanalysis 1

Reanalysis Data

Figures

Montlhy climatology for hgt 500 hPa

Sesonal climatology for hgt 500 hPa

Remove a specific ocean or continent for uwnd 500 hPa

Extract information with a shapefile