期刊
INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷 30, 期 10, 页码 1564-1576出版社
WILEY-BLACKWELL
DOI: 10.1002/joc.1992
关键词
daily precipitation; missing values; probability density function; interpolation
资金
- Centro Euro - Mediterraneo per i Cambiamenti Climatici (CMCC)
- EU
This work presents a novel method for estimating missing values in daily precipitation series. It is aimed at identifying the event time location with good accuracy and reconstructing the correct amount of daily rainfall. In addition, the statistical properties of the time series, i.e. both probability distribution and long-term statistics, are preserved. The completion method is based on a two-step algorithm that uses information from a cluster of neighboring stations. First, wet and dry days are tagged, and subsequently, the full precipitation amount for wet-classified days is estimated by a modified multi-linear regression approach. This method avoids overestimation of the number of wet days and underestimation of intense precipitation events, which are typical side effects of common regression-based approaches. Copyright (C) 2009 Royal Meteorological Society
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据