项目作者: agmunozs

项目描述 :
Several tools for flow-dependent model diagnostics and general weather typing, as part of our contribution to NOAA's Model Diagnostics Task Force (MDTF).
高级语言: Jupyter Notebook
项目地址: git://github.com/agmunozs/Weather-typing.git
创建时间: 2018-01-27T22:56:58Z
项目社区:https://github.com/agmunozs/Weather-typing

开源协议:

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Flow-dependent Cross-timescale Model Diagnostics

Several tools for flow-dependent model diagnostics and general weather typing, as part of our contribution to NOAA’s Model Diagnostics Task Force (MDTF). More information:
A Weather-Type-Based Cross-Time-Scale Diagnostic Framework for Coupled Circulation Models
Ángel G. Muñoz; Xiaosong Yang; Gabriel A. Vecchi; Andrew W. Robertson; William F. Cooke
J. Climate (2017) 30 (22): 8951–8972.
https://doi.org/10.1175/JCLI-D-17-0115.1

Weather-typing

Several weather-typing codes, in Matlab and Python.

PyWR

Python scripts and Jupyter notebooks to compute weather types/regimes diagnostics using K-means. Model weather types are projected (or not) into the observed ones in the EOF space.

Authors:

Ángel G. Muñoz (agmunoz@iri.columbia.edu)

Collaborators:

Drew Resnick (drewr@iri.columbia.edu), James Doss-Gollin (james.doss-gollin@columbia.edu)

Find the documentation here: PyWR Function Documentation

Matlab scripts

Matlab scripts to compute weather types/regimes using K-means. Model weather types are not projected into observed ones.

Authors:

Ángel G. Muñoz (agmunoz@iri.columbia.edu) modifications to the original code by Andrew W. Robertson (awr@iri.columbia.edu)