/Weather-typing

Several tools for flow-dependent model diagnostics and general weather typing, as part of our contribution to NOAA's Model Diagnostics Task Force (MDTF).

Primary LanguageJupyter Notebook

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), Andrew W. Robertson (awr@iri.columbia.edu) and James Doss-Gollin (james.doss-gollin@columbia.edu)

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)