contributor author | Neelesh Rampal | |
contributor author | Andrew Lorrey | |
contributor author | Nicolas Fauchereau | |
date accessioned | 2023-04-12T18:38:39Z | |
date available | 2023-04-12T18:38:39Z | |
date copyright | 2022/11/23 | |
date issued | 2022 | |
identifier other | MWR-D-22-0059.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290009 | |
description abstract | Weather regimes (WRs), also known as synoptic types, are defined as recurrent patterns that have been used to categorize variability in atmospheric circulation. However, defining the optimal number of patterns can often be arbitrary, and there are common shortcomings when oversimplifying a wide range of synoptic conditions and weather outcomes. We build on previous work that has defined regional WRs and objectively ascribe an optimal number of once-daily weather patterns for Aotearoa New Zealand (ANZ) using affinity propagation combined with | |
publisher | American Meteorological Society | |
title | An Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K-Means Clustering Approach | |
type | Journal Paper | |
journal volume | 150 | |
journal issue | 11 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-22-0059.1 | |
journal fristpage | 3103 | |
journal lastpage | 3122 | |
page | 3103–3122 | |
tree | Monthly Weather Review:;2022:;volume( 150 ):;issue: 011 | |
contenttype | Fulltext | |