Comparison of geostatistical approaches to spatially interpolate month-year rainfall for the Hawaiian Islands
Comparison of geostatistical approaches to spatially interpolate month-year rainfall for the Hawaiian Islands
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DOI：
10.1002/joc.4437
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发表时间：
2016-03-15
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影响因子：
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通讯作者：
Needham, Heidi L.
中科院分区：
文献类型：
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作者：
Frazier, Abby G.;Giambelluca, Thomas W.;Needham, Heidi L.
夏威夷群岛拥有地球上最多样化的降雨模式之一。这些模式的知识是至关重要的各种资源管理问题，到目前为止，只有长期平均每月和每年的降雨量图已为夏威夷。在这项研究中，从1920年1月到2012年12月的月-年降雨量图是为夏威夷主要岛屿开发的。这些地图是使用气候辅助插值法（CAI）制作的，首先对台站的异常进行插值，然后与平均图结合。进行了地统计方法比较，以选择最佳插值方法。比较的重点是三个克里金算法：普通克里金（OK），普通协同克里金（OCK），和克里金与外部漂移（KED）。两个协变量，海拔和平均降雨量，进行了测试与OCK和KED。使用交叉验证统计量比较方法和协变量的组合，其中OK产生最低的误差统计量。每个月的台站异常使用OK插值，并与平均月图相结合，以产生最终的月-年降雨量图。
The Hawaiian Islands have one of the most spatially diverse rainfall patterns on earth. Knowledge of these patterns is critical for a variety of resource management issues and, until now, only long-term mean monthly and annual rainfall maps have been available for Hawaii. In this study, month-year rainfall maps from January 1920 to December 2012 were developed for the major Hawaiian Islands. The maps were produced using climatologically aided interpolation (CAI), where the station anomalies were interpolated first, and then combined with the mean maps. A geostatistical method comparison was performed to choose the best interpolation method. The comparison focuses on three kriging algorithms: ordinary kriging (OK), ordinary cokriging (OCK), and kriging with an external drift (KED). Two covariates, elevation and mean rainfall, were tested with OCK and KED. The combinations of methods and covariates were compared using cross-validation statistics, where OK produced the lowest error statistics. Station anomalies for each month were interpolated using OK and combined with the mean monthly maps to produce the final month-year rainfall maps.