GSTDTAP  > 气候变化
DOI10.1175/JCLI-D-19-0352.1
Using Self-Organizing Maps to Identify Coherent CONUS Precipitation Regions
Swenson, Leif M.; Grotjahn, Richard
2019-11-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2019
卷号32期号:22页码:7747-7761
文章类型Article
语种英语
国家USA
英文摘要

Extreme precipitation events have major societal impacts. These events are rare and can have small spatial scale, making statistical analysis difficult; both factors are mitigated by combining events over a region. A methodology is presented to objectively define "coherent" regions wherein data points have matching annual cycles. Regions are found by training self-organizing maps (SOMs) on the annual cycle of precipitation for each grid point across the contiguous United States (CONUS). Using the annual cycle for our intended application minimizes problems caused by consecutive dry periods and localized extreme events. Multiple criteria are applied to identify useful numbers of regions for our future application. Criteria assess these properties for each region: having many more events than experienced by a single grid point, good connectedness and compactness, and robustness to changing the number of regions. Our methodology is applicable across datasets and is tested here on both reanalysis and gridded observational data. Precipitation regions obtained align with large-scale geographical features and are readily interpretable. Useful numbers of regions balance two conflicting preferences: larger regions contain more events and thereby have more robust statistics, but more compact regions allow weather patterns associated with extreme events to be aggregated with confidence. For 6-h precipitation, 12-15 regions over the CONUS optimize our metrics. The regions obtained are compared against two existing region archetypes. For example, a popular set of regions, based on nine groups of states, has less coherent regions than defining the same number of regions with our SOM methodology.


英文关键词Atmosphere North America Precipitation Climate classification regimes Climatology Neural networks
领域气候变化
收录类别SCI-E
WOS记录号WOS:000490757700002
WOS关键词EVENTS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/188121
专题气候变化
作者单位Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
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Swenson, Leif M.,Grotjahn, Richard. Using Self-Organizing Maps to Identify Coherent CONUS Precipitation Regions[J]. JOURNAL OF CLIMATE,2019,32(22):7747-7761.
APA Swenson, Leif M.,&Grotjahn, Richard.(2019).Using Self-Organizing Maps to Identify Coherent CONUS Precipitation Regions.JOURNAL OF CLIMATE,32(22),7747-7761.
MLA Swenson, Leif M.,et al."Using Self-Organizing Maps to Identify Coherent CONUS Precipitation Regions".JOURNAL OF CLIMATE 32.22(2019):7747-7761.
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