Spatiotemporal Snowfall Trends in Central New York

Spatiotemporal Snowfall Trends in Central New York
复制标题

纽约中部时空降雪趋势

DOI:
--
复制
发表时间:
2014
期刊:
影响因子:
--
通讯作者:
D. Chambers
D. Chambers
中科院分区:
--
文献类型:
--
作者:
J. Hartnett;J. Collins;Martin A. Baxter;D. Chambers

文献摘要

被引文献

相似文献

位于美国东北部和五大湖流域交汇处的中央纽约州,受到湖泊效应和非湖泊效应暴风雪产生的降雪的影响。本研究的目的是确定纽约中部降雪的时空模式及其可能的根本原因。在这项研究中使用了93个合作观察员计划站。时空格局分析使用简单的线性回归,皮尔逊相关性,主成分分析,以确定区域聚类,空间降雪分布图在ArcGIS软件。有三个关键发现。首先,当长期降雪趋势(1931/32-2011/12)分为两半时,前半部分(1931/32-1971/72)出现强劲增长,后半部分(1971/72-2011/12)出现较小幅度的下降。这一结果表明,降雪量的趋势表现在记录期间的非线性。二、纽约中部降雪空间分布特征
AbstractCentral New York State, located at the intersection of the northeastern United States and the Great Lakes basin, is impacted by snowfall produced by lake-effect and non-lake-effect snowstorms. The purpose of this study is to determine the spatiotemporal patterns of snowfall in central New York and their possible underlying causes. Ninety-three Cooperative Observer Program stations are used in this study. Spatiotemporal patterns are analyzed using simple linear regressions, Pearson correlations, principal component analysis to identify regional clustering, and spatial snowfall distribution maps in the ArcGIS software. There are three key findings. First, when the long-term snowfall trend (1931/32–2011/12) is divided into two halves, a strong increase is present during the first half (1931/32–1971/72), followed by a lesser decrease in the second half (1971/72–2011/12). This result suggests that snowfall trends behave nonlinearly over the period of record. Second, central New York spatial snowfall pa...