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Obtain the climatology and anomalies only for monthly data.

Project description

clima_anom - Climatology and Anomalies in Python

Overview

Requirements

numpy

netCDF4

matplotlib

cartopy

shapefile

Obtain a repository

Clone

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

Installation

clima_anom works on Python 3 on Linux, Windows or OSX. first clone the package then

$cd clima_anom

and install

$pip install .

Requirements

How to install requirements with pip

$pip install -r requirements.txt

Content

List of funtions

read_netcdf
clima_anom
season
correlation
closest_point
extract_area
MAE
RMSE
DiasDoAno
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 use in examples

hgt and uwnd 500 hPa Data

Figures

Montlhy climatology for hgt 500 hPa

Monthly_Climatology

Sesonal climatology for hgt 500 hPa

Seasonal Climatology

Remove a specific mask for uwnd 500 hPa

Wind remove mask

Extract information with a shapefile

Shapefile

Project details


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Source Distribution

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