| dc.contributor.author | Neelesh Rampal | |
| dc.contributor.author | Andrew Lorrey | |
| dc.contributor.author | Nicolas Fauchereau | |
| dc.date.accessioned | 2023-04-12T18:38:39Z | |
| dc.date.available | 2023-04-12T18:38:39Z | |
| dc.date.copyright | 2022/11/23 | |
| dc.date.issued | 2022 | |
| dc.identifier.other | MWR-D-22-0059.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290009 | |
| dc.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 | |
| dc.publisher | American Meteorological Society | |
| dc.title | An Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K-Means Clustering Approach | |
| dc.type | Journal Paper | |
| dc.journal.volume | 150 | |
| dc.journal.issue | 11 | |
| dc.journal.title | Monthly Weather Review | |
| dc.identifier.doi | 10.1175/MWR-D-22-0059.1 | |
| dc.journal.fristpage | 3103 | |
| dc.journal.lastpage | 3122 | |
| dc.page | 3103–3122 | |
| dc.tree | Monthly Weather Review:;2022:;volume( 150 ):;issue: 011 | |
| dc.contenttype | Fulltext | |