jci: Johansson Continentality Index

In ClimInd: Climate Indices

Description

The Johansson Continentality Index is usually used for the climatic differentiation between continental and oceanic climates.

Usage

jci(data, data_names = NULL, value, na.rm = FALSE, ...)

Arguments

data	daily mean temperature, Celsius
data_names	names of each period of time
value	lat
na.rm	logical. Should missing values (including NaN) be removed?
...	further arguments passed to or from other methods

Value

index value

Formula

JCI = \frac {1.7(Thm-Tcm)}{sinf}-20.4

Thm = Average temperature of the hottest month (Celsius); Tcm = Average temperature of the coldest month (Celsius); f = geographical latitude

References

Chronopoulou-Sereli A. 1996. Courses of Agricultural Meteorology.Publications Agricultural University of Athens: Athens, OH

Examples

data(data_all)
jci(data = data_all$tg, value = data_all$lat)

Example output

Loading required package: SPEI
Loading required package: lmomco
Loading required package: parallel
Loading required package: ggplot2
# Package SPEI (1.7) loaded [try SPEINews()].
Loading required package: chron
Loading required package: weathermetrics
    2050     2051     2052     2053     2054     2055     2056     2057 
      NA       NA       NA       NA       NA       NA       NA       NA 
    2058     2059     2060     2061     2062     2063     2064     2065 
      NA       NA       NA       NA       NA       NA       NA       NA 
    2066     2067     2068     1969     1970     1971     1972     1973 
      NA       NA       NA       NA       NA       NA       NA       NA 
    1974     1975     1976     1977     1978     1979     1980     1981 
      NA       NA       NA       NA       NA       NA 31.32472 27.70696 
    1982     1983     1984     1985     1986     1987     1988     1989 
26.86611 28.94794 28.91290 33.27224 25.18493 30.11675 24.22669 26.38173 
    1990     1991     1992     1993     1994     1995     1996     1997 
29.13463 30.71143 29.87391 25.49595 31.91680 24.58865 24.98971 23.97496 
    1998     1999     2000     2001     2002     2003     2004     2005 
26.03217 27.25794 28.96622 32.39475 20.66315 32.98508 25.41399 33.54870 
    2006     2007     2008     2009     2010     2011     2012     2013 
34.77385 25.21560 28.52877 33.98082 32.53374 30.46956 37.83580 29.79885 
    2014     2015     2016     2017 
28.56872 37.35387 26.40859 32.17037 

ClimInd documentation built on April 10, 2021, 1:06 a.m.