Journal
INTERNATIONAL JOURNAL OF CLIMATOLOGY
Volume 30, Issue 10, Pages 1564-1576Publisher
WILEY-BLACKWELL
DOI: 10.1002/joc.1992
Keywords
daily precipitation; missing values; probability density function; interpolation
Categories
Funding
- Centro Euro - Mediterraneo per i Cambiamenti Climatici (CMCC)
- EU
Ask authors/readers for more resources
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
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available