pcp: Precipitation Concentration Period

In precintcon: Precipitation Intensity, Concentration and Anomaly Analysis

Description

Calculates the Precipitation Concentration Period (PCP) on a daily or monthly precipitation serie.

Usage

pcp(object)

Arguments

object

a daily or monthly precipitation serie.

Value

A data.frame containing the following variables:

• year is the year.

• pcp is the precipitation concentration period, in degree, corresponding to a year. Results correspond to a month like below when using the 'azimuth' default values: 0 = January, 30 = February, 60 = March, ..., 300 = November, and 330 = December.

Author(s)

Lucas Venezian Povoa [e-mail]

References

Zhang L.J., Qian Y.F. (2003) Annual distribution features of precipitation in China and their interannual variations. J Acta Meteorological Sinica 17:146-163

See Also

pplot.pcp read.data as.daily as.monthly

Examples

##
# Loading the monthly precipitation serie.
data(monthly)

## 
# Performing the Precipitation Concentration Degree analysis
pcd(monthly)

Example output

Loading required package: ggplot2
Loading required package: scales
   year        pcd
1  1950 0.26068290
2  1951 0.06377493
3  1952 0.21715870
4  1953 0.15536067
5  1954 0.25452578
6  1955 0.03608486
7  1956 0.31499681
8  1957 0.32303960
9  1958 0.02347763
10 1959 0.20050638
11 1960 0.10833600
12 1961 0.20872438
13 1962 0.25195898
14 1963 0.11770389
15 1964 0.06155352
16 1965 0.24210278
17 1966 0.04841563
18 1967 0.13599278
19 1968 0.25632235
20 1969 0.38370363
21 1970 0.19106113
22 1971 0.30217182
23 1972 0.11526562
24 1973 0.25049710
25 1974 0.20522192
26 1975 0.18677433
27 1976 0.18852673
28 1977 0.34960354
29 1978 0.20905784
30 1979 0.12489794
31 1980 0.19168251
32 1981 0.08808041
33 1982 0.17533615
34 1983 0.19943331
35 1984 0.09108355
36 1985 0.06033198
37 1986 0.07338760
38 1987 0.17968959
39 1988 0.03748189
40 1989 0.21992546
41 1990 0.25930008
42 1991 0.16362821
43 1992 0.33497722

precintcon documentation built on May 2, 2019, 3:07 p.m.