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A package to get open NWP data in a elegant way

Project description

Maesters - Nnumercial Weather Prediction

A package focus on fecth open-source global numerical weather prediction product in a elegant way.

The following data sources are supported.

✔︎ Deutscher Wetterdientst - ICON

✔︎ European Centre for Medium-Range Weather Forecasts - OPER / ENFO

✔︎ Canadian Meteorological Center - GEM / GEPS

The following data sources support is coming. 🚀🚀🚀

National Oceanic and Atmospheric Adminstration - GFS

Met Office - MOGREPS

How to install

Dependence

  1. cdo,curl (installcdo, curl)
conda install -c conda-forge cdo curl

Install

pip install maesters-nwp

Usage

from maester import Maesters

ec = Maester('ecmwf','oper','2022-06-29 12:00',hour=[6,30],varname='TP_L0')

# get xarray object
ec.xarray()

# or only download (if lcoal_dir is not given, default download to current dir)
ec.download(local_dir='./') 

Problem List

P1: pyporj instal fail on M1 chip

S1:

brew install proj
pip install pyproj

Project details


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